Submissions

Track Descriptions

Conference Theme Track: The Next Transformation (NEXTTRANS)

Track Chairs:

Anna Sidorova, University of North Texas anna.sidorova@unt.edu
Jordana George, Texas A&M jgeorge@mays.tamu.edu
Julian Lehmann, Arizona State University j.lehmann@asu.edu

Track Description:

This track explores the transformative convergence of artificial intelligence, digital platforms, automation, and data-centric innovation that is reshaping the way we live, work, and interact. Just as past industrial revolutions redefined economies and societies, today’s digital revolution invites us to consider how emerging technologies—such as smart devices, edge computing, AR/VR, FinTech, and autonomous systems—can be deployed responsibly to create meaningful, equitable, and sustainable progress.

We seek papers that address the opportunities and challenges of this transformation, particularly in navigating the socio-technical dynamics of trust, privacy, well-being, and the future of work. By examining both the technological capabilities and the broader societal implications of these changes, this track highlights how innovation can be channeled to ensure inclusive and responsible outcomes.

We welcome contributions across diverse perspectives and methodologies, including conceptual, empirical, analytical, ethnographic, and design science research. In alignment with the AMCIS 2026 theme, this track is an invitation to explore the interplay of innovation and responsibility at the frontier of digital transformation.

Minitracks:

Human-AI Co-Agency: Designing for Shared Control and Autonomy

Focusing on the interplay of human and machine agency, this mini-track seeks work that examines joint decision-making, negotiated autonomy, adaptive interfaces, and new paradigms of “co-work” between people and AI agents (e.g., when to cede or reclaim control, design for transparency and fallback, or reconciling goals). This is conceptually distinct from broader “future of work” tracks and targets deep design, behavioral, and management issues around shared control.

We also welcome technically grounded IS research that explores mechanisms for adjustable autonomy and mixed-initiative control, uncertainty-aware and explainable interfaces, agent orchestration (e.g., tool-use/function calling, multi-agent systems), human-in-the-loop learning, and safety/guardrail engineering with auditable provenance.

Call for Papers:

In addition, we encourage contributions that connect IS questions to contemporary AI technologies (e.g., LLM-based copilots and agents, retrieval-augmented generation, preference learning, inverse reinforcement learning, and human-in-the-loop/AI-in-the-loop pipelines), with attention to reproducible evaluation, governance, and real-world deployment.

Potential topics for this mini-track include, but are not limited to:

Performance, measurement and evaluation of human-AI co-agency
- Shared agency systems require new approaches to how we define, measure and evaluated performance. The lines of responsibility for performance are blurred in these co-agency systems, making evaluating, measuring, and even defining performance challenging.

Processes and effects of negotiated autonomy and control handoff mechanisms in human-AI co-agency
- As a new socio-technical approach to work, human-AI teams need to negotiate the degree of autonomy they want to assume. Too much autonomy and efficiency and possibly effectiveness are harmed; too little autonomy and we lose the benefits of the human in the loop. As a result, it’s important to understand how autonomy is negotiated and how that autonomy is passed from humans to AI and back in human-AI teams.

Transparency, explainability, and reliability in shared-agency systems
- Determining how co-agentic systems communicate rationale, intent, and confidence in ways that support correct calibrations of trust and effective co-decision making is challenging. For example, how are decision paths documented and validated in human-AI teams? What are the effects of different explanation styles and degrees of transparency on confidence in decisions made by human-AI teams?

Governance and accountability in co-agency
- Co-intentional systems may require new approaches to governance and accountability due to factors like lack of transparency, lack of explainability, and blurred lines between the role of humans and AI systems. New governance frameworks, escalation protocols, or ethical analysis methodologies for hybrid accountability may be required.

Designing for co-intentional systems
- Interfaces and architectures that enable humans and AI to form, maintain, and adjust shared goals present opportunities and challenges. In addition, the design of co-intentional systems may bring about unintended consequences, for example, by suggesting or enforcing suboptimal mental models.

Trust in human-AI co-agency
- Because of the dynamic socio-technical nature of human-AI co-agency, trust calibration can be tricky. Further, calibrating trust correctly is likely a prerequisite for success in these systems. Too little trust and too much time is spent by the human or the AI in monitoring the activities. Too little trust and decisions and outputs may suffer.

Effects of anthropomorphism in human-AI co-agency
- Generative AI chatbots are intentionally designed to suggest anthropomorphic reactions from users. Although these reactions have their benefits, there are also dangers in how they may affect perceptions of control, accountability, and even moral responsibility. Anthropomorphism can increase engagement and rapport, but it may also lead to over-trust, under-trust, or an illusion of agency when agency does not exist.

Co-agency’s effects on the development, degradation, and retention of skills
- Although co-agency between humans and AI can have many beneficial effects, the long-term effects on the skill level of humans involved in these partnerships is unknown. Human-AI teams are adaptable, therefore co-agency with AI has the potential to develop or degrade skills and may have both positive and negative effects on skill retention.

Methods and evaluation
- Design science (artifacts and principles) with rigorous evaluations.
- Field deployments, RCTs/lab studies, simulations and agent-based models.
- Reproducible pipelines with code, prompts, datasets, and evaluation scripts where feasible.

Submissions
Submissions should be made through the AMCIS 2026 submission system. The mini-track welcomes two types of submissions:

Completed research papers that describe conceptual or empirical work that has been completed. Completed research papers must not exceed 10 pages all-inclusive, using the proper AMCIS template.
Emergent Research Forum (ERF) papers report on research that is not yet completed. ERF papers must not exceed 5 pages all-inclusive, using the AMCIS template.

See https://amcis2026.aisconferences.org/submissions/call-for-papers/ for submission types, templates, requirements and further information. Note that length limits will be strictly enforced. Submissions that exceed the above limitations will be desk-rejected.

Minitrack Chairs:

Craig Van Slyke, Louisiana Tech University, Ruston, Louisiana, United States, vanslyke@latech.edu
Bin Zhang, Department of Information and Operations Management, Texas A&M University, College Station, Texas, United States, bzhang@mays.tamu.edu

General NEXTTRANS Topics

The General NEXTTRANS Topics minitrack is intended for papers aligned with the AMCIS 2026 Conference Theme, The Next Transformation, that do not clearly fit within another specialized minitrack. It also welcomes submissions from track and minitrack chairs who cannot submit to their own minitracks, as well as authors whose work addresses the conference theme but lacks a natural home elsewhere.

This minitrack welcomes research on the transformative role of AI, digital platforms, automation, and data-centric innovation, including their socio-technical implications for trust, privacy, well-being, and the future of work. Submissions may employ any research method or perspective, including conceptual, empirical, analytical, ethnographic, or design science approaches.

Authors are encouraged to review other minitrack descriptions before submitting to ensure appropriate fit.

MINITRACK CHAIRS

AMCIS 2027 Program Co-Chairs

Monica Tremblay, Raymond A. Mason School of Business, William & Mary, USA Monica.Tremblay@mason.wm.edu
Gilberto Perez, Mackenzie Presbyterian University, Brazil gilberto.perez@mackenzie.br
Indira Guzmán, Trident University International, USA indira.guzman@trident.edu

Accounting Information Systems (SIG ASYS)

Track Chairs:

Fiona Rohde, University of Queensland, f.rohde@business.uq.edu.au
Scott Boss, Bentley University, sboss@bentley.edu

Track Description:

The Accounting Information Systems track highlights research that focuses on the link between accounting and information systems, including topics that range from IT governance to interorganizational information systems and draws from a variety of disciplines like accounting, psychology, sociology, cognitive science, behavioral science, economics, politics, computer science, and information technology. The track considers papers from all research methods, including design science, behavioral, and archival.

Accounting information systems (SIG ASYS)

Minitracks:

General Accounting Information Systems

Accounting information systems (AIS) research focuses on the link between accounting and information systems, including how best to communicate this link to students through curricula and cases. It includes topics that range from understanding and governance of the holistic IT environment to inter-organizational and automated information generation and sharing. The General Accounting Information Systems mini-track includes any and all topics in the field of AIS that are not included in the other, more specialized mini-tracks. Suggested topics include systems integration, value of information systems, automation of tasks traditionally performed in accounting functions, and Accounting Information Systems education methods and case studies.

Minitrack Chairs:

Sumantra Sarkar, MIS, SUNY – BInghamton, Binghamton, New York, United States, ssarkar@binghamton.edu
Joy Gray, Arizona State University, Tempe, Arizona, United States, joy.gray@asu.edu

IS Control, Audit, Reporting, Enterprise IT Governance and Security for Compliance Management

This mini-track is focused on the role that AIS plays in capturing and storing transactions, ensuring their accuracy, timeliness and validity, and satisfying the organization’s legal and regulatory requirements. Appropriate topics for this mini-track include (but are not limited to) continuous auditing, auditing end user systems, internal audit, COSO, CobiT, AS/2201, forensic auditing, data mining/business intelligence, querying, ebXML, XBRL, AIS use, data ambiguity, enterprise IT governance structures for effective compliance management, enterprise compliance risk assessment and compliance risk management, information assurance prioritization and strategy, establishing auditable trust models for securing electronic commerce, valuation of information assets for security assurance resource optimization, budgeting for and cost effective management of information systems associated with governmental regulations, successful and unsuccessful compliance management via automated, continuously auditing software solutions, and shared information, interorganizational trust models and policy ontologies for compliance management.

Minitrack Chairs:

Tawei (David) Wang, DePaul University, Chicago, Illinois, United States, david.wang@depaul.edu
Joy Gray, State University, Tempe, Arizona, United States, joy.gray@asu.edu

Models, Designs, Implementation, and Data Innovation

This mini-track is focused on the role that AIS plays in creating models to help better store, share information, reengineer, process and represent the organization’s resources, events and agents including the impact of data innovation and emerging data use. This mini-track is intended to promote research on the different data and process models for AIS. Appropriate topics for this mini-track include (but are not limited to) AIS design, Ontologies used for representation of AIS, Object Oriented databases for AIS, Items-Agent-Cash (IAC) Model, UML for modeling of AIS, AIS Architectures, Reengineering of legacy AIS into ERP systems, XBRL databases modeling and design, AIS using blockchain or distributed ledger technology, Resource-Event-Agent (REA) models, data models, Information sharing of AIS with supply chain systems, enterprise systems modeling, interorganizational information sharing, risk management, privacy, data analytics and data relevance.

Minitrack Chairs:

Karina Honey, Business Information Systems, The University of Queensland, Brisbane, QLD, Australia, drkarinahoney@gmail.com

Adoption and Diffusion of Information Technology (SIG ADIT)

Track Chairs:

- Jennifer Claggett, Wake Forest University, claggett@gmail.com
- Hamed Qahri-Saremi, Colorado State University, saremi@colostate.edu
- Samira Farivar, Carleton University, samira.farivar@carleton.ca

Track Description:

Research on the adoption and diffusion of information technology has improved our understanding of how IT is utilized by individuals, groups, and organizations and its positive and negative consequences. As a result, we have a rich understanding of relevant topics such as digital innovation, digital business models, and IT implementation, to name a few. With the accelerating pace of digital transformation permeating organizations and societies, and the fundamental role of information systems in it, there is still much to learn about the diffusion and adoption of IT.

We need to investigate the bright sides of new digital innovations and how we can ensure equitable access to technologies and digital resources, particularly in light of the rapid advances in AI and other “intelligent technologies.” At the same time, we must critically examine the dark sides of adoption and diffusion. Issues such as IS misuse, addiction, propagation of online false information, algorithmic biases, the erosion of human agency by intelligent systems, technostress, information overload, and new digital divides present relevant and ripe areas to investigate.

This track seeks to create a forum for high-quality research that provides valuable theoretical and/or practical insights into the adoption and diffusion of digital innovations at all levels and their bright and dark consequences. This includes the application of all types of research methodologies to study all kinds of digital artifacts.

Adoption and Diffusion of IT (SIG ADIT)

Mini-Tracks:

General Adoption and Diffusion of Digital Technology

Emerging digital technologies are reshaping industries and altering user behaviors and expectations. This mini-track aims to enhance knowledge regarding the adoption and diffusion of digital technology. We invite all papers related to the adoption and diffusion of digital technologies that do not fit into other mini-tracks in this track. This mini-track solicits expositions and investigations of both qualitative and quantitative natures. Analyses at different levels (individual, group, organizational, societal, and cultural) using a variety of methods (e.g., surveys, experimentation, case studies, observational data analysis) are all welcome. Topics to be discussed include, but are not limited to:

Adoption, use, and discontinuance of emerging digital technologies.
Motivators and inhibitors of acceptance and use of digital technologies (e.g., individual users, organizations, and societies).
Positive and negative impacts of digital technologies on various stakeholders.
New theoretical/methodological perspectives on technology adoption, implementation, and diffusion.
Ethical considerations in the implementation and use of digital technologies.

Call for Papers:

We invite submissions to the adoption and diffusion of information technology (SIG ADIT) mini-track at the Americas Conference on Information Systems (AMCIS) 2026 to be held in Reno, August 20-22, 2026.

Emerging digital technologies are reshaping industries and altering user behaviors and expectations. This mini-track aims to enhance knowledge regarding the adoption and diffusion of digital technology. We invite all papers related to the adoption and diffusion of IT that do not fit into other mini-tracks in this track. This mini-track solicits expositions and investigations of both qualitative and quantitative natures. Analyses at different levels (individual, group, organizational, societal, and cultural) using a variety of methods (e.g., surveys, experimentation, case studies, observational data analysis, etc.) are all welcome. Topics to be discussed include, but are not limited to:

•Adoption, use, and discontinuance of emerging digital technologies.

•Motivators and inhibitors of acceptance and use of digital technologies.

•Positive and negative impacts of digital technologies on various stakeholders (e.g., individual users, organizations, and societies).

•New theoretical/methodological perspectives on IT adoption, implementation, and diffusion.

•Ethical considerations in the implementation and use of digital technologies.

This mini-track calls for research that explores uncharted waters and offers novel theoretical, methodological, and practical insights into the implementation, adoption, and use of digital technologies across various contexts and user groups.

Please find instructions for authors and more information about the conference at: https://amcis2026.aisconferences.org/

Minitrack Chairs:

Randy Wong, Department of Information Systems and Operations Management, University of Auckland, randy.wong@auckland.ac.nz
Kimia Ansari, Asper School of Business, University of Manitoba, kimia.ansari@umanitoba.ca
Mahdi Abouei, Asper School of Business, University of Manitoba, mahdi.abouei@umanitoba.ca

The Dark Side of Technology Use

Contemporary technologies have emerged as a dual-edged sword, shaped by both their design and how people use them. Social media platforms, online dating apps, AI systems, and healthcare solutions are not inherently harmful, but their persuasive and data-driven designs can encourage habitual use and enable misuse for harmful or deceptive purposes.

Within this mini-track, we provide a forum for research exploring the darker and unintended consequences of technology, affecting individuals, organizations, and society. We invite innovative research on strategies to understand, address, and mitigate these challenges. Submissions are encouraged to encompass a broad spectrum of topics, including but not limited to habit-forming design, addiction, technostress, interruptions, AI algorithms, disinformation, fake news, deceptive behaviors, health concerns, psychological and physical well-being, and interventions that promote more ethical or mindful use. This mini-track serves as a platform for a comprehensive examination of the multifaceted issues arising from technology’s design, use, and misuse.

Call for Papers:

Contemporary technologies have emerged as a dual-edged sword, shaped by both their design and how people use them. They hold the capacity to empower or exploit, to connect or manipulate. Social media platforms, online dating apps, smartphones, AI systems, and health IT solutions are not inherently harmful, but their persuasive and data-driven designs can encourage habitual use and enable misuse for harmful or deceptive purposes. Even seemingly harmless tools like work emails can disrupt productivity, while security software and access controls—essential for protecting digital environments—can inadvertently compromise privacy. More recently, AI-based technologies warrant closer examination due to the biases they may introduce, as well as the uncertainties surrounding their impact on individuals’ skills (e.g., critical thinking and creativity) and well-being (e.g., through AI companions).

Within this mini-track, we provide a dedicated forum for research exploring the darker and unintended consequences of technology, affecting individuals, organizations, and society. We invite innovative research on strategies to understand, address, and mitigate these challenges. Submissions are encouraged to encompass a broad spectrum of topics, including but not limited to habit-forming design, addiction, technostress, interruptions, AI algorithms, disinformation, fake news, deceptive behaviors, health concerns, psychological and physical well-being, and interventions that promote more ethical or mindful use. This mini-track serves as a platform for a comprehensive examination of the multifaceted issues arising from technology’s design, use, and misuse.

Minitrack Chairs:

Dicle Berfin Köse, Department of Communication and Culture, BI Norwegian Business School, Oslo, Norway, dicle.b.kose@bi.no
Melody Zou, Warwick Business School, Warwick, United Kingdom, Melody.Zou@wbs.ac.uk
Arturo H. Cano Bejar, New Mexico State University, Las Cruces, New Mexico, United States, acanobej@nmsu.edu

Adoption and diffusion of artificial intelligence (AI)

As artificial intelligence (AI) technologies continue to develop rapidly, employees and organizations must decide how to adopt them into existing workflows. For employees, AI has the potential to reshape job roles, automate tasks, and facilitate complex problem-solving. For organizations, AI can foster innovation and transformation across business processes and models. Yet the impacts of AI adoption also present considerable challenges, such as the need for workforce reskilling, the mitigation of ethical concerns, the management of expectations surrounding AI’s use, and the assurance of high-quality and unbiased AI output. This minitrack invites high-quality research addressing the antecedents and consequences of AI adoption within organizational contexts. Submissions may explore themes such as digital transformation, AI-enabled productivity gains, reskilling and job mobility, and ethical concerns, among other topics related to AI adoption. Submissions may be empirical or theoretical, take an individual or organizational focus, and use a variety of methodologies (quantitative or qualitative).

Call for Papers:

Minitrack Chairs:

Matthew Baucum, Oklahoma State University, Stillwater, Oklahoma, United States, matt.baucum@okstate.edu
Tanner Skousen, Marriott School of Business, Brigham Young University, Provo, Utah, United States, tanner.skousen@byu.edu
Youngjin Kwon, Department of MISE, Washington State University, Pullman, Washington, United States, youngjin.kwon@wsu.edu

AI System Design and Interaction

Track Chairs:

Yue Guo, Southern University of Science and Technology, guoy@sustech.edu.cn
Hong Guo, Arizona State University, hguo@asu.edu

Track Description:

The AI System Design and Interaction track examines how artificial intelligence is reshaping the ways organizations and individuals develop, deploy, and engage with intelligent technologies. With advances in generative AI, multimodal interaction, and data-driven decision-making, this track emphasizes two complementary dimensions. The first is AI system design, which addresses how intelligent systems are conceived, governed, and embedded into organizational and societal contexts. The second is AI system interaction, which considers how humans experience, collaborate with, and adapt to these technologies.

We encourage research that addresses critical issues such as transparency, explainability, governance, trust, human–AI collaboration, and the co-evolution of socio-technical systems. Contributions may span multiple levels of analysis, from individual and team interactions with AI, to organizational adoption and policy-level considerations.

The track welcomes interdisciplinary perspectives from information systems, computer science, psychology, sociology, behavioral science, management, and policy studies. We also embrace a broad range of methodologies, including design science, behavioral experiments, case studies, archival analyses, computational modeling, and field research. By fostering dialogue across disciplines and approaches, this track seeks to generate insights into how AI systems can be designed and interacted with responsibly, effectively, and sustainability

Decision Support and Analytics

Minitracks:

AI System Design and Responsible Innovation

This mini-track focuses on frameworks, principles, and methods for designing AI systems that are both technically robust and socially responsible. As AI increasingly shapes organizational decision-making and human experiences, attention to fairness, accountability, transparency and sustainability has become essential. We welcome research that develops or evaluates approaches to responsible AI, with a focus on ensuring that systems are resilient, trustworthy, and aligned with societal values. Contributions may address theoretical foundations, design methodologies or empirical cases that highlight how responsible AI design can be implemented across industries such as education, retail and healthcare.

Topics of interest include but are not limited to:

Responsible AI frameworks
Robustness and resilience of AI architectures
Sustainability and ethics in AI system design

References:

• Susarla, Anjana, et al. “The Janus effect of generative AI: Charting the path for responsible conduct of scholarly activities in information systems.” Information Systems Research 34.2 (2023): 399-408.

Minitrack Chairs:

Dr. Si Liu, Information Systems and Business Analytics, Kent State University, Kent, Ohio, United States, sliu38@kent.edu
Mingyao Song, DeGroote School of Business, McMaster University, Hamilton, Ontario, Canada, songm45@mcmaster.ca

Multimodal Human–AI Interaction

This mini-track explores how humans engage with AI systems through multiple modes of interaction, including text, speech, image, video, gesture, and immersive technologies such as AR/VR. As AI becomes increasingly embedded in daily life, multimodal interaction raises pressing questions about usability, trust, inclusivity, and the co-creation of value between humans and intelligent systems. We welcome studies that examine the socio-technical dynamics of multimodal AI, spanning both creative and decision-making contexts. Contributions may focus on design innovations, behavioral responses, accessibility challenges, or the broader implications of multimodal AI for learning, work, and well-being.

Topics of interest include (but are not limited to):

Multimodal AI interfaces
Human–AI collaboration in creative and decision-making tasks
User trust, transparency, and resistance in multimodal systems

Minitrack Chairs:

Dr. Xiang Wan, Information Systems & Analytics, Santa Clara University, Santa Clara, California, United States, xwan@scu.edu

Governance, Policy, and Societal Implications of AI

This mini-track examines the organizational, regulatory, and societal consequences of AI system design and interaction. As AI technologies advance, they raise pressing questions about governance, ethics, accountability, and equity that extend beyond technical innovation. We invite research that links AI development to broader institutional, managerial, and societal contexts, highlighting both the opportunities and the risks that come with widespread adoption. Contributions may address regulatory frameworks, ethical challenges, organizational strategies, or the societal implications of algorithmic decision-making across diverse domains.

Topics of interest include (but are not limited to):

Governance and regulation of AI systems
AI and data privacy, security, and compliance management
Societal impacts of algorithmic decision-making
Organizational strategy and AI-enabled transformation
Balancing automation with human oversight and accountability

References:

• Wei, Shaobo, Yuanyuan Zhang, and John Qi Dong. “Toward Artificial Intelligence Compliance: Impacts and Mechanisms of Performance Feedback.” Information Systems Research (2025).

Minitrack Chairs:

Dr. Yi Zhu, Kent State University, Kent, Ohio, United States, sliu38@kent.edu

Artificial Intelligence and Autonomous Systems for the Next Transformation (SIG AI)

Track Chairs:

Antino Kim, Indiana University, antino@iu.edu
Sarah Honigsberg, ICN Business School, sarah.honigsberg@icn-artem.com
Daniel O’Leary, University of Southern California, oleary@usc.edu

Track Description:

Artificial Intelligence (AI) and autonomous systems are central to what AMCIS 2026 calls “The Next Transformation.” These technologies are reshaping industries, redefining work, and influencing daily life. Their convergence with digital platforms, automation, and data-driven innovation creates new opportunities while raising urgent ethical, social, and regulatory challenges.
This track welcomes research on applications of machine learning and (generative) AI across domains (e.g., healthcare, finance, education, public services), the role of conversational agents, digital humans, and autonomous systems, as well as socio-economic, cultural, and organizational implications. We invite diverse methods to explore both potential and risks, advancing knowledge on how AI can drive responsible, equitable, and sustainable transformation.

Artificial Intelligence & Autonomous Application (SIG AIAA)

Minitracks:

AI, Emotions, Empathy, and Mental Health

AI-enabled technologies have been permeating human lives and societies at a growing rate over the last three decades. They started at the mechanical task levels (e.g., manufacturing robots) and slowly made their way into analytical tasks (e.g., personal assistants, traders, schedulers, etc.). However, these technologies are still finding their way into the realm of human emotion and empathy. This next wave (known under various banners, including feeling AI, empathic AI, emotional AI, and empathetic AI) is expected to be the next frontier in AI development and deployment. Additionally, the role of emotions and empathy in human-technology interaction is a growing research area within the IS discipline. Accordingly, this forward-looking mini-track welcomes all kinds of theoretical and empirical research at the intersection of human emotions, empathy, mental health and AI.

Call for Papers:

AI-enabled technologies have been permeating human lives and societies at a growing rate over the last three decades. They started at the mechanical task levels (e.g., manufacturing robots) and slowly made their way into analytical tasks (e.g., personal assistants, traders, schedulers, etc.). However, these technologies are still finding their way into the realm of human emotion and empathy. This next wave is also known as feeling AI under the service literature and is expected to be the next frontier in AI development and deployment. Additionally, the role of emotions and empathy in human-technology interaction is a growing research area within the IS discipline. Accordingly, this forward-looking mini-track welcomes all kinds of theoretical and empirical research at the intersection of human emotions, empathy, and AI. Possible topics and research questions of interest include but are not limited to:

How AI and ML algorithms can be better trained to detect and respond to human emotions appropriately?
How can AI become empathic and emotional, and how will such changes impact human-AI interactions?
What would be the legal and ethical implications of emotional and empathic AI for human societies?
How is emotional/empathic AI going to impact business processes and existing business models?
How is emotional/empathic AI going to impact employee and user satisfaction?
What are the potential advantages and risks associated with the development and deployment of emotional and empathic AI systems?
How will an AI capable of understanding and appropriately responding to human emotions impact existing theories of human-technology interactions?
How will emotional and empathic AI impact users’ mental health and well-being?

Minitrack Chairs:

Reza Vaezi, Coles College of Business, Kennesaw State University, Kennesaw, Georgia, United States, svaezi@kennesaw.edu
Maryam Ghasemaghaei, McMaster University, Hamilton, Ontario, Canada, ghasemm@mcmaster.ca
Mohsen Jozani, Management Information Systems, San Diego State University, Sand Diego, California, United States, mjozani@sdsu.edu

Algorithmic Deception and Digital Distrust: Information Integrity in AI-Mediated Social Systems

The integration of Artificial Intelligence (AI), particularly AI agents and Generative AI (GenAI), fundamentally alters the creation and dissemination of online information. This transition exposes information to heightened risks of misinformation and disinformation. Consequently, this mini-track investigates the technical, behavioral, and social dimensions crucial for maintaining information integrity across digital platforms.

Our mini-track invites research grounded in Computational Social Science (CSS) and IS theory, and could deploy Machine Learning (ML) and Deep Learning (DL) to curb online deceptive content. The following is are list of potential topics, but is not limited to:

ML/DL models for curbing information integrity moderated by GenAI and AI agents.
IS and other behavioral models focused on analyzing the transformative impact of suspiciousness within AI-mediated systems.
The deployment and evaluation of ML/DL models for identifying multimodal deception (e.g., deepfakes and synthetic content) and defending against adversarial AI attacks.
The design of transparent and responsible AI systems.

Call for Papers:

In today’s digital age, the rise of AI has disrupted the traditional means of information generation and assimilation by being an instrumental force reconfiguring this mechanism. The velocity and veracity of AI data generation of personalized, persuasive content jeopardize sensitive information, thereby undermining information integrity. We posit that addressing this challenge requires a multidisciplinary blend of computational rigor and deep understanding of human behavior, positioning Information Systems (IS) research at the critical intersection of technology and society.

Moreover, the threat to the digital landscape is both technically sophisticated and socially corrosive. Generative AI models can now produce synthetic text indistinguishable from human writing, fabricate hyper-realistic images and videos (deepfakes), and clone voices with alarming accuracy. This capability supercharges the problems of misinformation and disinformation, enabling malicious actors to launch coordinated, personalized, and highly convincing deception campaigns at a scale previously unimaginable. The rise of autonomous agents further compounds this issue, creating persistent, interactive entities that can manipulate social media trends, simulate public opinion, and erode trust in institutions through continuous, low-cost engagement. The core problem, therefore, transcends mere content detection; it is about defending against a new class of AI-powered, adaptive adversaries that learn and evolve in real-time.

The development of advanced ML/DL models for detecting multimodal deceptionand understanding of the human and systemic factors can aid this process. How does pervasive exposure to synthetic media transform user behavior and cultivate a culture of “digital suspiciousness”? What are the psychological and societal impacts when individuals can no longer trust their own eyes and ears? By analyzing patterns of belief, sharing, and skepticism in AI-mediated social systems, we can design more effective interventions and governance frameworks.

Therefore, this mini-track is structured around three interconnected research streams. The first stream focuses on the technical frontier, inviting contributions on novel ML/DL architectures for real-time detection of synthetic content across text, image, audio, and video modalities. This includes defending against adversarial attacks deliberately designed to fool these very detection systems. The second stream addresses the behavioral and systemic dimension, seeking studies that employ IS models to analyze the transformative impact of AI on trust, credibility, and social dynamics online. The third-stream champions the design of responsible AI systems, calling for research that embeds transparency, accountability, and ethical considerations directly into the architecture of generative and autonomous AI, moving beyond mitigation to proactive, value-sensitive design.

Thus, we invite studies that intersect the technical capabilities of computer science with the theoretical depth of information systems and behavioral science. The possible topics include the following.

Empirical studies using Computational Social Science to model how AI-generated disinformation spreads, evolves, and gains traction across decentralized networks.
Design and evaluation of ML/DL methods for detecting multimodal deception—such as deepfakes and synthetic text—and defending against adversarial AI attacks.
Theorizing and empirically testing user suspiciousness as a behavioral factor shaping AI adoption and continued usage, informed by IS frameworks like Expectation-Confirmation Theory or Trust-Risk Calculus.
Assessing the effectiveness, fairness, and perceived intrusiveness of AI-powered content moderation and governance strategies (e.g., flagging or demoting false content).
Examining how cultural and institutional settings influence the degree of trust and skepticism toward AI-mediated news and information.
Integrating concepts like algorithmic accountability, transparency, and explainable AI (XAI) into the design of systems aimed at reducing deception and strengthening trust.
Comparing human and algorithmic detection of disinformation, especially in hybrid collaboration models and their impact on cognitive biases.

Minitrack Chairs:

Kunal Rao, Indian Institute of Technology Roorkee, Roorkee, India Indian Institute of Technology Roorkee, Roorkee, India, kunalrao9c@gmail.com
Anu Rao, Indian Institute of Technology Jodhpur, Jodhpur, India Indian Institute of Technology Jodhpur, Jodhpur, India, anrao2014@gmail.com
Dr. Laura Watkowski, University of Bayreuth, Bayreuth, Germany, laura.watkowski@uni-bayreuth.de
Dr Gaurav Dixit, Department of Management Studies, Indian Institute of Technology Roorkee, Roorkee, India, gaurav.dixit@ms.iitr.ac.in Mehta. Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Roorkee, Roorkee, India, gaurav.dixit@mfs.iitr.ac.in

Generative AI in Education, Research, and Society

Generative AI (GAI) represents a pivotal force in “The Next Transformation,” fundamentally reshaping education, research practices, and societal structures. This mini track explores the multifaceted applications and implications of GAI across these interconnected domains. We examine how GAI is revolutionizing personalized learning, transforming research methodologies, and influencing broader societal dynamics. The track welcomes research on GAI’s role in creating adaptive educational systems, enhancing research productivity, addressing digital equity, and navigating ethical challenges. We seek papers that investigate the convergence of GAI with existing digital platforms, its impact on workforce development, and its potential for driving responsible innovation. Through diverse research perspectives—from empirical studies to critical analyses—this mini track aims to advance understanding of how GAI can contribute to equitable, sustainable, and transformative change across education, research, and society.

Call for Papers:

Overview

As we embrace “The Next Transformation” in the digital age, Generative AI (GAI) emerges as a revolutionary force transcending traditional boundaries between education, research, and society. This mini track explores how GAI is not merely enhancing existing systems but fundamentally redefining how we learn, discover, and interact as a society. We invite researchers, educators, policymakers, and practitioners to contribute insights on GAI’s transformative potential and its complex implications across these interconnected domains.

The rapid evolution of GAI technologies—from large language models to multimodal systems—presents unprecedented opportunities alongside urgent challenges. As these autonomous applications become increasingly integrated into our educational institutions, research processes, and social fabric, we must critically examine their impact on equity, ethics, and human agency. This mini track serves as a forum for rigorous inquiry into how GAI can drive responsible transformation while addressing the socio-economic, cultural, and organizational implications of widespread adoption.

We seek papers examining:

Educational Transformation:

• GAI-powered personalized and adaptive learning ecosystems

• Autonomous tutoring systems and intelligent educational assistants

• GAI’s impact on curriculum design, assessment, and credentialing

• Digital equity and accessibility in GAI-enhanced education

• Preparing learners for an AI-transformed workforce

Research Innovation:

• GAI as a research collaborator: methodology enhancement and knowledge synthesis

• Autonomous systems for literature review, hypothesis generation, and data analysis

• Ethical implications of GAI in research integrity and authorship

• Cross-disciplinary research acceleration through GAI platforms

• GAI’s role in democratizing research capabilities

Societal Impact:

• GAI’s influence on public discourse, information literacy, and democratic processes

• Cultural and linguistic preservation through GAI technologies

• GAI applications in public services and community development

• Addressing bias, fairness, and representation in GAI systems

• Policy frameworks and governance models for responsible GAI deployment

Cross-Domain Convergence:

• Integration of GAI with existing digital platforms and information systems

• Human-AI collaboration models across education, research, and society

• Economic implications of GAI adoption at institutional and societal levels

• Privacy, security, and trust in GAI-mediated interactions

• Sustainable and equitable GAI implementation strategies

Research Methodologies:

We encourage submissions employing diverse research approaches, including but not limited to:

• Design science research and system development

• Empirical studies (quantitative, qualitative, or mixed methods)

• Longitudinal studies and impact assessments

• Critical analyses and ethical frameworks

• Case studies and best practice documentation

• Action research and participatory design

• Theoretical models and conceptual frameworks

• Policy analysis and regulatory studies

Minitrack Chairs:

Yun Wan, University of Houston – Downtown, Houston, Texas, United States, wany@uhd.edu
Xiwei Wang, Northeastern Illinois University, Chicago, Illinois, United States, x-wang9@neiu.edu
Wei Wei, University of Houston – Downtown, Houston, Texas, United States, weiw@uhd.edu

AI-Powered Digital Humans: Impacts, Challenges, and Ecosystem

The rapid evolution of AI has transformed the concept of digital humans from simple anthropomorphic and conversational interfaces into highly sophisticated, autonomous entities mimicking human cognition, behavior, and appearance. The latest advancements in Artificial General Intelligence (AGI) and human-like AI collaborators have accelerated this transformation, enabling digital humans to act as adaptive, emotionally responsive, and context-aware participants. These AI-powered digital humans now demonstrate not only naturalistic speech and gestures but also the ability to assist with dynamic decision-making, empathy simulation, and multimodal interaction. Their human-like presence fundamentally changes how people interact with technology, how organizations provide services, and how societies experience digital coexistence.

This mini-track invites research that explores the individual, technological, organizational, and social dimensions of next-generation AI-powered digital humans. We also encourage submissions that theorize the emergence of AI agents, tracing the evolution from conversational agents to fully autonomous digital humans and examining their implications for socio-technical ecosystems.

Call for Papers:

The rapid evolution of AI has transformed the concept of digital humans from simple anthropomorphic and conversational interfaces into highly sophisticated, autonomous entities mimicking human cognition, behavior, and appearance. The creation of such AI-powered human-like digital entities is no longer a novel phenomenon but has become integrated into various aspects of human life over the past decades. Especially, the latest advancements in Artificial General Intelligence (AGI) and human-like AI collaborators have accelerated this transformation, enabling digital humans to act as adaptive, emotionally responsive, and context-aware participants. These AI-powered digital humans now demonstrate not only naturalistic speech and gestures but also the ability to assist with dynamic decision-making, empathy simulation, and multimodal interaction. Their human-like presence fundamentally changes how people interact with technology, how organizations provide services, and how societies experience digital coexistence.

These AI-powered digital humans, designed with realistic human-looking appearances (form realism) and intelligent behaviors (behavioral realism) in both real and virtual environments, have significantly enhanced user experience in various industrial and service settings, such as news media (e.g., AI news anchors), customer services (e.g., AI robo advisors and agentic AI applications), and entertainment (e.g., AI singers). They enable users to more easily access human-based services and engage in more personalized interactions not only with machines and technological systems but also with other human beings. Notably, the interactions with AI-powered digital humans occur in real-time, facilitating the efficient handling of large volumes of data and diverse computational tasks almost instantly through immediate learning processes. Moreover, as AI algorithms and machine learning techniques are now widely used across industries to support autonomous AI applications and digital representations, a fundamental change in how digital entities are created, applied, and consumed, and also in how audiences engage with them is accelerated.

The objective of this mini-track is to explore the convergence of AI-powered digital humans in various settings, the dynamic interactions between humans and AI-powered digital humans, and their social and industrial effects, with a focus on the potential, challenges, and implications of this intersection. We invite research that explores the individual, technological, organizational, and social dimensions of next-generation AI-powered digital humans. We also encourage submissions that theorize the emergence of AI agents, tracing the evolution from conversational agents to fully autonomous digital humans and examining their implications for socio-technical ecosystems.

Key topics include, but are not limited to:

• Design and application of AI-powered digital humans across various industrial settings

• The implications of near-human AI embodiments for trust, identity, and engagement

• Affective and compassionate computing and behavioral realism

• Integration of AGI and agentic reasoning in digital human design

• Governance of collaborations between humans and AI-powered digital humans

• Ethical and legal concerns related to AI-powered digital humans

• Evaluation frameworks for the impacts and implications of AI-powered digital humans

• Evolution of AI-powered digital humans at the individual, service, and society levels

• Emotional intelligence and empathy simulation in digital humans

• Ethical, social, and trust implications of near-human AI embodiments

• Applications and evaluation frameworks across business, healthcare, and creative industries.

• Integration of affective empathy and moral reasoning in digital human design

• Cross-cultural behavioral realism and moral calibration in AI-powered digital humans

• Design of value-aligned and accountable mechanisms for human–AI collaboration

• Co-evolution of human trust and AI responsiveness over time

The mini-track welcomes diverse research approaches, including conceptual, qualitative, quantitative, design-science, and mixed-methods.

Minitrack Chairs:

One-Ki Daniel Lee, Information Systems, Virginia Commonwealth University, Richmomd, Virginia, United States, leeo@vcu.edu
Soo Il Shin, Information Systems and Security, Kennesaw State University, Kennesaw, Georgia, United States, sshin12@kennesaw.edu
Dr. Jin Sik Kim, Management Science & Information Systems, University of Massachusetts Boston, Boston, Massachusetts, United States, jinsik.kim@umb.edu
Dr. Haejung Yun, Ewha Womans University, Seoul, Korea, Republic of, yunhj@ewha.ac.kr

Artificial Intelligence and Digital Transformation: Organizational and Cultural Dimensions of the Next Transformation (SIG CULTURE)

Track Chairs:

Emmanuel Monod, ISTEC business school, emmanuel.monod@outlook.com
Bin Yang, ABPMP China, bin.yang@autosoft-tech.com
Alberto Arbulu, University of Bordeaux, alberto.arbulu@u-bordeaux.fr
Pierre Larrat, NEXIS, p.larrat@nexis-ia.fr
Yuewei Jiang, CPMC, jiangyuewei@cpmc.com
Jean-Francois David, stratégiste, davidjf@free.fr
Shi Zhanbin, UCMT, shizhanbin@ucmt.com

Track Description:

While the convergence of artificial intelligence and digital platforms might suggest uniform solutions, the failure rate of AI and digital transformation remains as high as 85% (McKinsey, 2025). The Fourth Industrial Revolution, focused on process automation, has yielded limited results (WES, 2025). Furthermore, AI is still subject to a productivity paradox, as highlighted by 2024 Nobel Prize winner Professor Daron Acemoglu from MIT.

Although neglecting human dimensions is a classical explanation for AI failure, standard HR responses—such as training programs—often fail to account for the differences between corporate and national cultures. For instance, SMEs require different approaches compared to large corporations. High-tech companies operate differently than traditional firms. Moreover, the optimism towards technology is higher in China than in the USA

This raises a critical question: will the Fifth Industrial Revolution be more inclusive of cultural and organizational diversity than the previous one? In China, the “AI Plus” initiative within which relies on the “New Quality Productive Forces”, encompasses both high-tech emerging industries and traditional sectors. Meanwhile, successful cases of Industry 5.0 currently emerge from the German manufacturing industry, suggesting a cultural dimension at play.

Additionally, while many transformation methodologies still rely on Japanese methods like lean or Six Sigma, what is the relevance of recent American approaches—such as agile, organizational or development—for the success of AI? These social and cultural dimensions appear to be the key to success, even amidst technological advancements in generative AI, agentic AI, and AI-native. The transition from AI automation to AI augmentation demands greater attention to the diversity of contexts, which is the essence of socio-technical systems theory.

This track welcomes contributions related to the organizational and cultural dimensions of AI and digital transformation. We invite both conceptual and empirical papers, using qualitative or quantitative methodologies.

SIG CULTURE

Minitracks:

AI for legal firms (SIG CULTURE)

Can judges be replaced by AI?
Do AI robots have a sense of right and wrong?
Can AI robots lie?

AI technology has gradually entered the legal field. Generally speaking, AI has been vigorously applied in the legal service industry outside the courts. However, in the judicial field, as a judge, one not only needs to ascertain objective facts but also make judgments on the application of law and subjective factors such as values and morality. Whether AI can replace judges in making such subjective judgments or merely assist them in ascertaining objective facts is an interesting topic.

Minitrack Chair:

Jie Sun, Hengtai Lawoffices, Shanghai, China Hengtai Lawoffices, Shanghai, China, sunj@hengtai-law.com

AI implementation issues and management methods

How to increase the success of AI implementation and digital transformation? the classical structured methodologies seem to be less performant than agile ones. But how about change leadership roadmap? Business process management? Digital leadership for the success of AI? are methods such as BPR or lean management still valid for AI implementation? Do all prototypes and pilot follow the agile methods? What are the methods for scalability of AI beyond the pilot phase? How about enterprise architecture?

This track welcomes contributions both conceptual and empirical, using qualitative or quantitative methodologies.

Call for Papers:

This track welcomes contributions both conceptual and empirical, using qualitative or quantitative methodologies.

Potential Topics:

Agile methods and structure methods for AI
Change leadership for AI implementation
Business process management for AI implementation
BPR, lean and AI
AI pilot and agile methods
AI pilots and scalability
Enterprise architecture and AI implementation

Minitrack Chairs:

Ruichen TANG, Yuannian consult, Chengdu, Sichuan province, China, 1051755094@qq.com
Prof. Ganesh P Sahu, School of Management Studies , Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India, gsahu@mnnit.ac.in

AI and Business Model Innovation

Business model innovation (BMI) has emerged as a critical driver of firm competitiveness, extending beyond product, service, or process innovation to involve systemic reconfigurations of how value is created, delivered, and captured. As a general-purpose technology (GPT), artificial intelligence (AI) has transformative potential to reshape business architectures by enhancing information processing, decision-making, and knowledge acquisition. Theoretical and practical evidence—such as Netflix’s AI-driven transition from DVD rentals to a global streaming platform—illustrates how AI can enable firms to redesign their business models, develop new value propositions, and sustain competitive advantage.

Minitrack Chairs:

Zhenyang Tang, Clark Universty, Worcester, Rhode Island, United States, ztang@clarku.edu

AI for Good or for Gain? The Ethical Boundaries of Artificial Intelligence in Business and Its Implications for Society

In October 2025, Deloitte admitted to using generative AI to draft portions of a A$440,000 report for the Australian government, resulting in fabricated citations, misattributed quotes, and public outcry over accountability and professional integrity. This incident exemplifies the growing ethical tension surrounding AI use in business and public decision-making. As artificial intelligence reshapes corporate operations, consulting, auditing, and policy analysis, its implications for ethics, governance, and societal trust demand urgent scholarly attention.

This mini track invites theoretical, empirical, and interdisciplinary research that examines the ethical boundaries of AI in professional and organizational contexts. We particularly welcome studies exploring how firms balance innovation and responsibility, how AI challenges existing ethical frameworks, and how regulation, education, and corporate governance can foster responsible AI adoption for societal benefit.

Minitrack Chairs:

Zhihong Wang, School of Business, Clark University, Worcester, Massachusetts, United States, zhihwang@clarku.edu

What do we need to apply AI in Chinese organizations

In China, with the emergence of large language model tools such as DEEPseek, Tongyi Qianwen, and Doubao, government departments, enterprises across various industries are exploring to apply AI tools to enhance the quality and efficiency of business operations. Many companies have promptly invested in expensive GPUs and servers, but they found that only certain superficial tasks could be accomplished, lacking systematic and in-depth insights and scenario construction.

The envisioned AI implementation includes processes such as training and explaining digital transformation to leaders, formulating digital transformation strategies and requirements, developing implementation plans based on requirements, and breaking down the overall plan into multiple specific scenarios. Meanwhile, cross-departmental AI implementation teams should be established, adopting a matrix organizational structure. Each team should consist of business-savvy experts and AI implementation technicians working together, responsible for the construction, implementation, and validation of specific scenarios.

Help Chinese organiazagions to apply AI is a blue ocean.

Call for Papers:

In China, with the emergence of large language model tools such as DEEPseek, Tongyi Qianwen, and Doubao, government departments, enterprises across various industries, and professionals are exploring how to apply AI tools to enhance the quality and efficiency of business operations. Many companies have promptly invested in expensive GPUs and computing servers, but when studying specific application scenarios, they found that only certain superficial tasks could be accomplished, lacking systematic and in-depth insights and scenario construction.

Therefore, in China, where AI tool applications are emerging one after another, achieving fundamental capability improvements for organizations at low cost requires systematic methodologies, implementation plans, as well as systematic training and guidance. We believe this will also drive organizational management reforms, as the application of AI tools will change software development patterns, leading to greater involvement of organizational leaders and business personnel. Bridging the knowledge gap of these individuals in using AI tools requires training and guidance that is both profound and easy to understand.

The envisioned AI implementation should include processes such as training and explaining digital transformation to leaders, formulating digital transformation strategies and requirements, developing implementation plans based on these requirements, and breaking down the overall implementation plan into multiple specific scenarios. Meanwhile, cross-departmental AI implementation teams should be established, adopting a matrix organizational structure. Each team should consist of business-savvy experts and AI implementation technicians working closely together, responsible for the construction, implementation, and validation of specific scenarios. In this process, the overall methodology, implementation plan, and implementation guidance and training are all critical.

It is anticipated that the market in this regard in China is a blue ocean, requiring the participation of highly specialized institutions and personnel.

Minitrack Chairs:

Fengwu Zhou, Strategy department, ABPMP association of business process management, Shanghai, Shanghai, China, 1415046628@qq.com

Building the Digital Risk Management framework: Integrating Technology, Processes, and People

This mini-track addresses the critical challenge of theoretical and practical fragmentation in risk management. Despite its evolution into a core management function, divergent roots in fields like finance and engineering have created siloed approaches that hinder effective risk oversight. Digital transformation offers a path forward through technologies like AI and big data, yet it also risks amplifying existing disparities if implemented without a unified vision.

We invite research that explores how integrated, digital-native risk management frameworks can overcome this fragmentation. Contributions may be conceptual or empirical, examining how organizations can harness digital tools to build cohesive and value-driven risk management capabilities for the modern age.

Call for Papers:

Risk management has evolved from a historically narrow focus on insurable risks and financial controls into a universal management principle, now recognized as central to organizational resilience and strategic agility. However, this evolution has been uneven. The field’s diverse theoretical roots in disciplines such as insurance, finance, and engineering have created a legacy of significant fragmentation in practice. This results in inconsistent risk languages, incompatible assessment methodologies, and isolated risk siloes that persist across different industries and even within single organizations, severely hindering the development of a holistic risk posture.

The contemporary wave of digital transformation, powered by big data, artificial intelligence, and the Internet of Things, presents a pivotal inflection point. It offers the unprecedented potential to achieve truly dynamic, predictive, and comprehensive risk monitoring. Advanced analytics can uncover hidden correlations, and intelligent systems can provide real-time insights. However, this technological promise is coupled with a profound peril: simply overlaying new digital tools onto these inherently fragmented structures risks automating existing inefficiencies. This can lead to “digital chaos”—a state where technology amplifies contradictions, creates new data siloes, and ultimately reinforces the very barriers it was meant to break down.

This mini-track invites contributions that address the core challenge of this digital juncture: how to build unified, intelligent, and effective digital risk management socio-technical systems. We seek research that moves beyond technical implementation to explore the architectural principles of integrated frameworks, the organizational preconditions for adoption, and the strategic paradigms required for success. The goal is to foster a dialogue on transforming risk management from a fragmented collection of defensive procedures into a cohesive, human-technology collaborative capability that empowers the entire enterprise.

Potential topics:

The Evolution of Risk Management Maturity Models for Digital Transformation
A Systems-Theory Approach to Risk Management Digital Transformation
Cultural Barriers and Enablers in the Digital Transformation of Risk Management
The Human-Technology Collaborative Paradigm in Risk Management
The Strategic Role of Risk Management in Digital Age
Building a Risk-Aware Culture for the Digital Age
Cross-Cultural Perspectives on Risk Management Digital Transformation
National Culture and the Perception of Risk in Digital Transformation

Minitrack Chairs:

Ruichen TANG, Yuannian consult, Chengdu, Sichuan province, China, 1051755094@qq.com

Generative AI Governance and Cultural Co-Creation

This minitrack invites submissions that explore the intersection of Generative AI, governance, and culture. As Generative AI increasingly shapes our world, a multi-stakeholder dialogue is crucial to ensure its development is responsible, human-centric, and culturally sustainable. We seek to bring together researchers from diverse fields to discuss how governance, technology, and culture can work in concert to build an ethical, inclusive, and creative AI future.

Topics of interest include, but are not limited to:

Ethical frameworks for AI governance
AI’s role in cultural co-creation and preservation
Building trust and accountability in AI systems
Safeguarding cultural diversity in the age of AI
Policy-making for responsible AI innovation
Human-AI collaboration in creative industries

Call for Papers:

This minitrack, “Generative AI Governance and Cultural Co-Creation,” aims to foster a critical and forward-looking discussion on shaping our collective AI future. We invite contributions from scholars, industry pioneers, and cultural visionaries who are exploring the complex interplay between advanced AI systems and human society.

The goal is to move beyond purely technical discussions and address the profound organizational and cultural dimensions of the ongoing transformation driven by Generative AI. We are particularly interested in papers that offer new perspectives on trust, accountability, and cultural sustainability. How can we design and implement governance frameworks that promote ethical AI while fostering innovation? How can AI serve as a tool for cultural co-creation and empowerment rather than homogenization? What new forms of collaboration between government, industry, academia, and the cultural sector are needed to guide this technology toward a future that is inclusive, equitable, and inspiring?

This minitrack provides a platform to chart new pathways toward AI systems that empower humanity, safeguard diversity, and inspire global collaboration. We welcome empirical, theoretical, and design-oriented research that addresses, but is not limited to, the following themes:

Policy, Regulation, and Governance Models for Generative AI
Ethical Frameworks and Auditing Mechanisms for AI Systems
The Impact of Generative AI on Cultural Heritage and Intellectual Property
AI-driven Creativity and Cultural Co-Creation
Ensuring Inclusivity and Mitigating Bias in AI
Building Trust, Accountability, and Transparency in AI
Cross-Sector Collaboration for a Human-Centered AI Future
The Role of AI in Preserving and Promoting Linguistic and Cultural Diversity

Minitrack Chairs:

Jiayin Qi, Cyberspace Institute of Advanced Technology/ Institute of Internet Governance Innovation , Guangzhou University, Guangzhou, Guangdong, China, qijiayin@gzhu.edu.cn
Kun Jia, Guangzhou University, Guangzhou, Guangdong, China Guangzhou University, Guangzhou, Guangdong, China

Artificial Intelligence and Organizational Transformation (SIG OSRA)

Track Chairs:

Frank Ulbrich, Lucerne University of Applied Sciences and Arts, frank.ulbrich@hslu.ch
Elaine Mosconi, Université de Sherbrooke, Elaine.Mosconi@USherbrooke.ca

Track Description:

Artificial Intelligence (AI) is reshaping organizations—but not always as intended. While leaders design strategies and governance frameworks for AI-driven transformation, employees often experiment with generative AI tools, sometimes outside official policies. This creates a tension between organizational intent and actual practice, raising critical questions about governance, ethics, and the future of work.

This track explores machine–human interaction as the core of organizational AI transformation. We invite research on how organizations integrate AI into structures, processes, and cultures—and how employees adopt, adapt, or circumvent these efforts. We are particularly interested in studies that address the gap between policy and practice, including the rise of shadow AI, human–AI collaboration, and the socio-technical dynamics shaping organizational outcomes.

We welcome theoretical, empirical, design-science, and mixed-methods research, as well as real-life teaching cases.

Organizational Systems Research (SIG OSRA)

MiniTracks:

Governance and Organizational Control for Responsible AI

This mini-track examines AI not as an isolated tool but as a system embedded in and co-evolving with human, organizational, and societal systems. AI’s capabilities and limitations dynamically interact with human judgment, organizational routines, and societal structures, producing feedback loops and emergent outcomes. For example, reliance on AI can reshape decision strategies, alter workflows, and influence fairness and accountability, illustrating co-evolution.

Existing research often isolates algorithmic performance, individual adoption, or ethical considerations, missing the systemic, multi-level dynamics that shape real-world AI impacts. This mini-track invites conceptual, empirical, simulation-based, and design-oriented work that explicitly models bi-directional influences, connects micro- and macro-level effects, and advances theory while offering actionable insights for design, governance, and responsible integration. We welcome studies examining human–AI collaboration, organizational adaptation, societal implications, and methodological innovations that reveal how AI and human systems continuously shape one another.

Call for Papers:

When AI systems are embedded in human, organizational, and societal contexts, they continuously shape and are shaped by human behavior, routines, and institutional structures. For example, when a hiring algorithm leverages patterns in biased human decisions, its capabilities may improve efficiency or consistency, while its limitations can perpetuate or amplify bias. As humans adapt their decision-making strategies in response, organizational routines and norms shift, and societal outcomes such as fairness, equity, and accountability are simultaneously affected. These dynamics illustrate co-evolution, where AI’s strengths and weaknesses interact as a system within systems. They highlight that AI cannot be studied or managed in isolation, as its impacts ripple across cognitive, organizational, and societal levels.

The Gap

Existing AI research tends to emphasize isolated dimensions: algorithmic performance, individual adoption decisions, or discrete ethical concerns. This approach misses systemic feedback loops that influence both system performance and human behavior. Linear models of technology adoption cannot capture how AI transforms organizational routines, cognitive patterns, and institutional structures, which in turn reshape AI itself. Without frameworks centering bi-directional, multi-level dynamics, we risk designing systems, policies, and theories that fail to account for emergent, system-level consequences.

This Mini-Track

We position AI as a system within systems, simultaneously shaped by and reshaping human cognition, organizational processes, and societal institutions. Unlike tracks focused solely on AI ethics, human-computer interaction, or digital transformation, this mini-track examines the recursive, co-evolutionary dynamics emerging when AI is embedded in complex socio-technical environments. We prioritize theoretically informed, empirically grounded, and practically relevant work that reveals how micro-level interactions cascade into macro-level outcomes and how institutional forces shape individual AI encounters.

We invite researcher that focuses on the following;

Cognitive & Behavioral Dynamics

– Human-in-the-loop decision-making: trust, cognitive load, delegation

– Feedback effects: skill evolution, dependency, behavioral adaptation

– Collaboration patterns: task division, error correction, complementarity

Organizational Co-Evolution

– Adoption patterns: diffusion pathways, resistance, champion roles

– Workflow integration: process redesign, handoffs, automation boundaries

– Emergent coordination: new routines, role redefinition, power shifts

– Structural adaptation: hierarchy changes, knowledge flow shifts

Societal-Scale Dynamics

– Governance: regulatory frameworks, accountability chains, oversight

– Responsibility: agency attribution, liability, collective accountability

– Fairness & equity: bias amplification, access inequality, distributive effects

– Ethical consequences: value alignment, norm evolution, unintended effects

Methodological and Theoretical Approaches

– Simulation or system dynamics modeling

– Experiments or longitudinal studies examining multiple interactions

– Applied case studies and design-oriented research in real organizational settings

– Conceptual frameworks integrating IS, organizational theory, cognitive science, and ethics

Ideal Submissions Will

– Explicitly model bi-directional influences between AI and human, organizational, and societal systems

– Connect micro and macro levels, showing how individual interactions aggregate into institutional outcomes

– Advance theory through novel constructs, frameworks, or cross-disciplinary integration

– Address both capabilities and limitations of AI in context

– Provide actionable insights for organizational design, governance, or responsible integration

We welcome conceptual, empirical, simulation-based, and design-oriented work. This mini-track offers a unique venue for scholars examining AI not as a tool acting upon systems, but as a dynamic participant in evolving socio-technical ecosystems. By framing AI within its human, organizational, and societal contexts, we aim to generate insights that are both theoretically rich and practically actionable.

Minitrack Chair:

Thomas Ware Information Systems, University of Pittsburgh, Pittsburgh, Pennsylvania, United States, thw55@pitt.edu

AI-Enabled Transformation of Organizational Practices and Functions

Artificial Intelligence (AI) is driving profound changes in organizations’ operations, revolutionizing work practices, knowledge sharing, and decision-making processes. As AI continues to integrate into business environments, it plays a pivotal role in enhancing operational efficiency, enabling smarter decision-making, and reshaping the way organizations manage resources and execute strategies. This mini-track invites research that explores the role of AI in transforming organizational structures, optimizing business processes, and facilitating innovation across various domains.

This track covers a broad range of topics, including how AI systems are improving business process optimization, fostering more effective collaboration across teams, and enhancing the user experience within organizational systems. Contributions are encouraged to examine how AI influences both intra- and inter-organizational processes, as well as its potential to reshape business strategies and partnerships in the digital age.

Call for Papers:

Proposed topics include, but are not limited to:

Emerging AI-driven technologies and their impact on organizational transformation
The impact of AI on knowledge sharing and information flow
AI in business process development, optimization, and automation
AI’s role in workplace evolution and integration with organizational information systems
AI-driven training and enhancement of workforce capabilities
AI’s role in fostering inter-organizational information systems and partnerships
AI-driven optimization of team composition and collaboration in organizational settings
The operationalization of AI governance against the backdrop of extant business processes

This mini-track provides a platform for discussing AI’s role in enabling organizational innovation and enhancing internal processes, with a focus on the operational and structural changes introduced by AI technologies.

Minitrack Chairs:

Elisa Gagnon, Bishop’s University, Sherbrooke, Quebec, Canada, (egagnon@ubishops.ca)
Anita Neumannova, Institute for Information Management and Control, WU Vienna University of Economics and Business, Vienna, Austria, anita.neumannova@wu.ac.at

AI as a System within Systems: Co-Evolving Human, Organizational, and Societal Dynamics

Call for Papers:

The Gap

This Mini-Track

We invite researcher that focuses on the following;

Cognitive & Behavioral Dynamics

– Human-in-the-loop decision-making: trust, cognitive load, delegation

– Feedback effects: skill evolution, dependency, behavioral adaptation

– Collaboration patterns: task division, error correction, complementarity

Organizational Co-Evolution

– Adoption patterns: diffusion pathways, resistance, champion roles

– Workflow integration: process redesign, handoffs, automation boundaries

– Emergent coordination: new routines, role redefinition, power shifts

– Structural adaptation: hierarchy changes, knowledge flow shifts

Societal-Scale Dynamics

– Governance: regulatory frameworks, accountability chains, oversight

– Responsibility: agency attribution, liability, collective accountability

– Fairness & equity: bias amplification, access inequality, distributive effects

– Ethical consequences: value alignment, norm evolution, unintended effects

Methodological and Theoretical Approaches

– Simulation or system dynamics modeling

– Experiments or longitudinal studies examining multiple interactions

– Applied case studies and design-oriented research in real organizational settings

– Conceptual frameworks integrating IS, organizational theory, cognitive science, and ethics

Ideal Submissions Will

– Explicitly model bi-directional influences between AI and human, organizational, and societal systems

– Connect micro and macro levels, showing how individual interactions aggregate into institutional outcomes

– Advance theory through novel constructs, frameworks, or cross-disciplinary integration

– Address both capabilities and limitations of AI in context

– Provide actionable insights for organizational design, governance, or responsible integration

Minitrack Chairs:

Thomas Ware, Information Systems, University of Pittsburgh, Pittsburgh, Pennsylvania, United States, thw55@pitt.edu

AI-Enabled Transformation of Organizational Practices and Functions

Call for Papers:

Proposed topics include, but are not limited to:

Emerging AI-driven technologies and their impact on organizational transformation
The impact of AI on knowledge sharing and information flow
AI in business process development, optimization, and automation
AI’s role in workplace evolution and integration with organizational information systems
AI-driven training and enhancement of workforce capabilities
AI’s role in fostering inter-organizational information systems and partnerships
AI-driven optimization of team composition and collaboration in organizational settings
The operationalization of AI governance against the backdrop of extant business processes

Minitrack Chairs:

Elisa Gagnon, Bishop’s University, Sherbrooke, Quebec, Canada, (egagnon@ubishops.ca)
Anita Neumannova, Institute for Information Management and Control, WU Vienna University of Economics and Business, Vienna, Austria, anita.neumannova@wu.ac.at

Privacy, Surveillance, and Trust: Cultural and Behavioral dynamics in AI Acceptance

The rapid integration of artificial intelligence (AI) into organizational structures and everyday life is transforming how individuals and institutions operate. While AI enhances efficiency, innovation, and personalization, its growing presence across public and private domains raises critical concerns regarding privacy, surveillance, and trust as central determinants of user acceptance.

This mini-track invites studies exploring how cultural values, regulatory norms, and behavioral dispositions influence user trust and acceptance of AI systems under varying degrees of data collection and surveillance. We seek both theoretical and empirical contributions that examine:

Cross-cultural differences in privacy calculus and surveillance tolerance in AI-enabled environments.
The role of institutional trust, data governance, and cultural narratives on user confidence in AI technologies.
Behavioural responses to AI-driven surveillance in workplaces, public services, and digital platforms.
The interplay between algorithmic transparency, perceived control, and ethical acceptance of AI across societies.

Call for Papers:

With the rapid rise of Artificial Intelligence (AI) technologies, the existing organizations, governments, and society are transforming the way they used to operate. Technologies such as predictive analytics and facial recognition are potentially evolving the interactions between humans, technology, and institutions, thus enhancing efficiency, innovativeness. Besides the benefits AI offers, it also introduces serious concerns regarding privacy, surveillance, and trust. These concerns are intrinsically embedded within behavioural and cultural contexts, which are highly influenced by the quality and veracity of information generated by AI tools.

The proliferation of misinformation, disinformation, and AI-generated content such as deepfakes complicates this landscape by eroding the public trust and obscuring the boundaries of ethical AI adoption. In such digital environments, the continuous generation and analysis of personal data blurs the boundaries between accessibility and intrusion, monitoring and surveillance. Such dynamics impact the user’s perception regarding the privacy risk and trust in AI-enabled systems.

Additionally, determinants such as privacy risk perception, surveillance exposure, and information authenticity affect the behavioral responses towards the AI technologies. In addition to these psychological challenges, cultural variations amplify these effects, impacting expectations towards privacy, trust, fairness, and control. For example, collective societies view AI-enabled surveillance as a tool for collective security, while individual cultures interpret it as a violation of personal freedom. Understanding these varying perspectives is necessary for designing ethical, transparent, and culturally sensitive AI-enabled systems that promote responsible innovation and foster public trust, leading to widespread AI adoption.

This mini-track invites conceptual, empirical, and methodological contributions that explore the multi-dimensional aspect of AI adoption from a sociocultural and psychological perspective. Studies employing cross-cultural comparisons, experimental designs, case studies, or computational modeling are welcome. Therefore, this mini-track emphasizes on the following topics, but not limited to,

• Cross-cultural variations in privacy calculus and surveillance tolerance in AI-enabled environments.
• Behavioural responses to AI-driven surveillance systems in workplaces, smart cities, and digital platforms.
• The role of algorithmic transparency, explainability, and perceived control in fostering ethical acceptance of AI.
• Impacts of AI-enabled surveillance on civic freedoms, digital citizenship, and democratic engagement.
• Strategies and frameworks for building culturally adaptive AI trust models that balance innovation and human rights.
• Trust repair mechanisms in the aftermath of data misuse or AI failures.
• Impact of AI-generated disinformation and deepfakes on public trust in institutions, media, and AI systems themselves.

Minitrack Chairs:

Anu Rao, Indian Institute of Technology Jodhpur, Jodhpur, India, anrao2014@gmail.com
Kunal Rao, Indian Institute of Technology Roorkee, Roorkee, India, kunalrao9c@gmail.com

Transdisciplinary Approaches for Societal Impact in the Next Transformation

This minitrack invites research that explores how transdisciplinary approaches can drive digital transformation with tangible societal impact. Despite decades of focused, discipline-specific research, many grand challenges remain unresolved — and the rapid rise of artificial intelligence in recent years has further underscored the need for integrated, cross-disciplinary perspectives. Addressing such complex issues calls for the convergence of organizational, behavioral, and technological insights.

We particularly welcome contributions that show how researchers and practitioners can bridge the research–practice divide, develop innovative collaborative and governance models, and design socio-technical systems that advance both innovation and responsibility in the digital era — across diverse industries, sectors, and contexts.

Call for Papers:

This minitrack seeks to advance understanding of how transdisciplinary research can drive digital transformation for societal benefit. While many complex problems have been studied extensively within individual domains, progress often requires cross-boundary collaboration that integrates technical, organizational, and human perspectives.

Emerging forms of collaboration—such as center-based research, co-creation with industry, and participatory design approaches—are reshaping how digital transformation unfolds across sectors. In healthcare, for example, the National Academies highlight the “critical role that information and communication technologies, engineering, and organizational innovations must play in addressing the interrelated quality and productivity crisis facing healthcare delivery.”

This minitrack therefore welcomes contributions that:

Examine how transdisciplinary teams form, collaborate, and sustain digital transformation efforts;
Present empirical, conceptual, or design science research addressing real-world challenges;
Offer insights into bridging the gap between research and practice, including lessons from industry–academic collaboration;
Explore how transdisciplinary approaches enhance the societal impact of information systems and technology research.

We encourage submissions employing diverse methodologies—quantitative, qualitative, empirical, and theoretical—including case studies, action research, design science, surveys, experiments, and conceptual analyses.

Minitrack Chairs:

Dr. Leandro Feitosa Jorge, Business School, Université Téluq, Montreal, Quebec, Canada, leandro.feitosajorge@teluq.ca
Prof. Dr. Paul Drews, Institute of Information Systems, Leuphana University of Lüneburg, Lüneburg, Germany, paul.drews@leuphana.de

Human–AI Collaboration and Work Redesign

This mini-track explores the transformative role of Artificial Intelligence (AI) in reshaping human work, collaboration, and organizational workflows. As AI systems become increasingly integrated into everyday tasks and decision-making, understanding how humans and AI interact is critical to designing effective, ethical, and sustainable work environments.

We invite research that examines how AI augments human capabilities, redefines job roles, and drives workflow redesign across industries. Topics may include adaptive interfaces, AI-assisted decision support, automation-human collaboration, and socio-technical systems that balance efficiency with human well-being. From generative AI tools transforming creative processes to intelligent agents supporting complex operations, this track seeks to highlight how co-adaptive systems can enhance productivity, creativity, and inclusion.

Contributions addressing human-centered design, organizational change, ethical implications, and interdisciplinary perspectives on Human-AI Interaction are encouraged to advance this timely discussion on the future of work and intelligent collaboration.

Minitrack Chairs:

Qiqi Jiang, Department of Digitalization, Copenhagen Business School, Frederiksberg, Denmark, qj.digi@cbs.dk
Jun Zhang, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia, jun.zhang2@monash.edu
Wenping Zhang, School of Information, Renmin University of China, Beijing, China, wpzhang@ruc.edu.cn

Multi-Generative AI and Human Interactions: Collaboration, Control, and Creativity in Organizational Contexts

The proliferation of multi-generative AI systems has reshaped how employees, teams, and organizations create, communicate, and coordinate work. As generative AI tools become increasingly interconnected, they amplify human capabilities but also introduce new complexities around accountability, authorship, and collaboration. This mini-track explores how individuals and organizations engage with multiple generative AI systems. We invite studies that examine the behavioral, organizational, and governance implications of multi-generative AI use—from employees’ creative experimentation and shadow AI practices to managerial efforts to control, align, and responsibly deploy it. We encourage submissions that unpack how these emerging AI–human constellations reshape cognition, work processes, and organizational boundaries.

Example topics are as follows:

Human–AI collaboration across multiple generative systems (e.g., ChatGPT, Claude)
Multi-agent and multi-model orchestration in creative and analytical work
Cognitive and behavioral adaptation in multi-AI environments
Organizational learning, innovation, and governance in the age of generative AI
Accountability, authorship, and ethics in multi-AI collaboration

Call for Papers:

Generative AI systems are no longer singular tools—they are becoming multi-agent collaborators that jointly transform the way individuals think, create, and act. Employees now routinely use multiple generative AI platforms—text, image, and code generation models—to augment creativity, automate analysis, and accelerate innovation. Yet these practices often emerge organically, beyond formal governance structures. This mini-track invites research that critically examines the interplay between multi-generative AI systems and human actors in organizational contexts.

We seek contributions that explore how individuals and teams navigate, coordinate, and integrate multiple AI systems in their work—how they balance creativity with compliance. Studies may investigate how multi-generative AI use affects cognition, trust, and collaboration. We particularly welcome research that bridges human–computer interaction, information systems, as well as design science work proposing frameworks or tools for managing multi-AI collaboration responsibly.

We encourage submissions that adopt quantitative, qualitative, mixed-methods, or design science approaches and welcome conceptual papers offering theoretical insights. Topics of interest include (but are not limited to):

Employee experimentation with multiple generative AI systems (“shadow AI”)
Multi-agent generative ecosystems and collective intelligence
Cross-platform generative workflows and socio-technical orchestration
Human judgment, creativity, and sense-making in multi-AI collaboration
Governance and ethics in multi-generative AI environments
Impacts of multi-AI interactions on productivity, learning, and innovation
Design principles for responsible and effective multi-AI collaboration

Through this mini-track, we aim to build a scholarly conversation around multi-generative AI and human interactions, deepening our understanding of how organizations can harness this next wave of AI innovation while managing its risks, ethics, and unintended consequences.

Minitrack Chairs:

Guohou Shan, Northeastern University, Boston, Massachusetts, United States, g.shan@northeastern.edu
Shizhen Jia, Quinnipiac University, Hamden, Connecticut, United States, shizhen.jia@quinnipiac.edu

Organizational Digital Twins

Digital twins of organizations are starting to emerge in the literature. However, creating a complete and reliable replica of a physical system that includes social, organizational, and technical aspects is a major challenge. This mini track aims to attract studies on digital twins that address a system-level analysis and optimization, exploring multiple technologies and research approaches. The topic has scientific relevance, encompassing case studies, architectures, adoption studies, and the predictive capabilities of organizational aspects. Simultaneously, the IT industry is extremely interested in digital twin design. This involves new forms of representing the organization in the digital realm, taking advantage of the growing volume of data to support (sometimes fully autonomous) decision-making, and mirroring both human and non-human actors in the complex setting of an organization. Digital twins of organizations are one of the possible research avenues to make artificial intelligence and organizational transformation a reality in the near future.

Call for Papers:

Digital twins have experienced tremendous growth in recent years. They are defined as digital replicas of physical objects or systems that enable real-time monitoring, simulation, and actuation, leveraging the power of intelligent feedback for improvement. The system-level analysis is one of the most promising approaches, addressing both technical and social aspects, and offering a powerful lens through which to examine the interplay between artificial intelligence, organizational structures, and human behavior.

Organizational digital twins can be used to simulate decision-making, monitor key organizational elements (e.g., performance, risk, sustainability). Ultimately, digital twins can transform work practices and provide a clearer perspective on the organizational value of digital technologies.

Topics of interest include, but are not limited to:

Digital Twins as a Governance and Strategy Tool
Human–AI Interaction within Digital Twin Ecosystems
Ethical and Socio-Technical Implications of Human-Centric Digital Twins in Organizational Settings
Digital Twins for Work Redesign and Skill Development
Domain-Specific and Multi-Layer Digital Twins (e.g., business ecosystem, industry, supply chain, product)
AI-Enabled Capabilities of Organizational Digital Twins
Case Studies and Design Science Approaches

Minitrack Chairs:

João Barata, CISUC – Center for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, Portugal, barata@dei.uc.pt
Paulo Rupino da Cunha, CISUC – Center for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, Portugal, rupino@dei.uc.pt
Luis M. Ferreira, Departamento de Engenharia Mecânica, Universidade de Coimbra, Coimbra, Portugal, luis.ferreira@dem.uc.pt

Artificial Intelligence Implementation and Organizational Transformation in Public and Private Sectors

AI implementation is transforming public and private organizations by driving organizational change, improving decision making, and reshaping service delivery. In the public sector, it enables data driven policymaking, predictive planning, and efficient citizen services, while in the private sector, it supports innovation, operational improvement, and competitive advantage. Despite its benefits, AI introduces challenges such as ethical concerns, governance issues, workforce adaptation, and the need for new leadership approaches. This mini track examines the processes, enablers, and barriers to AI implementation across sectors, focusing on how organizations adopt, adapt, and integrate AI within their structures and cultures. It invites studies exploring socio technical, socio economic, and governance dimensions, as well as comparative analyses of implementation success and failure. The track welcomes process studies, factor research, latent variable modeling, surveys, and case studies grounded in positivist or non positivist paradigms, along with normative theory papers that guide responsible AI implementation practices.

AI implementation is significant because it drives organizational transformation, enhances decision making, and reshapes service delivery across sectors. In the public sector, it enables data driven policymaking, predictive resource allocation, and more efficient citizen services. In the private sector, it supports innovation, improves operations, and creates competitive advantage through automation and intelligent analytics.

Its significance also lies in the challenges it reveals, such as ethical concerns, governance issues, workforce displacement, and complex interactions between technology and people that demand new forms of leadership and accountability. Understanding AI implementation is therefore essential for identifying how organizations can balance innovation with responsibility, integrate technology within existing institutional systems, and achieve sustainable transformation rather than isolated technological improvements.

Public sector organizations encounter challenges such as bureaucratic rigidity, data governance, and ethical accountability, whereas private firms face issues of agility, competitive pressures, and workforce adaptation. These contrasting contexts highlight the complexity of embedding AI within diverse organizational environments.

This mini track aims to examine the processes, enablers, and barriers of AI implementation across sectors. It explores how organizations, both public and private, adopt, adapt, and operationalize AI technologies within their structures, workflows, and cultures. Of particular interest are studies that investigate the socio technical, socio economic, and governance dimensions of AI projects, as well as comparative research that reveals how institutional contexts influence implementation success or failure.

We particularly encourage process studies, factor research, latent variable analysis, survey based and case study research grounded in either positivist or non positivist paradigms. Papers that develop or apply normative theories to explain or guide AI implementation practices are also welcomed. Submissions may include Completed Research Papers in accordance with AMCIS 2026 submission guidelines.

Key Topic Areas (not limited to):
• Strategies and frameworks for AI implementation in public and private organizations
• Governance, policy, and regulatory challenges in AI integration
• Organizational readiness, change management, and workforce adaptation
• Ethical, legal, and accountability issues in AI implementation
• Socio technical perspectives on AI implementation and use
• Data quality, interoperability, and information governance in AI systems
• Measuring AI performance and its impact on organizational effectiveness
• Comparative studies of AI implementation in government and industry
• Risk management, transparency, and trust in AI driven decision making
• Cross sector collaboration and stakeholder engagement in AI projects
• Lessons learned and best practices from real world AI deployments
• Barriers to scaling and sustaining AI innovation across sectors

Minitrack Chairs:

Syed Nasirin, Faculty of Computing & Informatics, Universiti Malaysia Sabah, Labuan, W.P. Labuan, Malaysia, snasirin@ums.edu.my
T Ramayah, School of Management, Universiti Sains Malaysia, Minden, Penang, Malaysia, ramayah@usm.my
Suraya Miskon, Faculty of Management, Universiti Teknologi Malaysia, Johor Bahru, Malaysia, suraya@utm.my

Governance and Organizational Control for Responsible AI

This mini-track examines artificial intelligence as a system that interacts with and is embedded within organizational systems. AI’s capabilities and limitations dynamically interact with organizational and institutional structures, producing feedback loops that influence governance, control processes, and systemic performance. For example, organizational and institutions shape how AI is used and governed, while AI, in turn, reshapes organizational structures, roles, processes, and routines that underpin responsible use.

This mini-track seeks to advance systems-based perspectives that move beyond one-directional or purely technical framings of AI in organizations and society. Thus, we invite research that examines these interdependencies, focusing on how mechanisms of AI oversight and governance, responsible engagement, and collaborative use influence organizational strategies, accountability and accuracy in practice. To strengthen theory-building, we encourage work that draws on literature from IS and related disciplines. Simulation, modeling, and empirical approaches that capture feedback loops and emergent properties are especially welcome.

Call for Papers

The Gap

This Mini-Track

We invite researcher that focuses on the following;

Cognitive & Behavioral Dynamics

– Human-in-the-loop decision-making: trust, cognitive load, delegation

– Feedback effects: skill evolution, dependency, behavioral adaptation

– Collaboration patterns: task division, error correction, complementarity

Organizational Co-Evolution

– Adoption patterns: diffusion pathways, resistance, champion roles

– Workflow integration: process redesign, handoffs, automation boundaries

– Emergent coordination: new routines, role redefinition, power shifts

– Structural adaptation: hierarchy changes, knowledge flow shifts

Societal-Scale Dynamics

– Governance: regulatory frameworks, accountability chains, oversight

– Responsibility: agency attribution, liability, collective accountability

– Fairness & equity: bias amplification, access inequality, distributive effects

– Ethical consequences: value alignment, norm evolution, unintended effects

Methodological and Theoretical Approaches

– Simulation or system dynamics modeling

– Experiments or longitudinal studies examining multiple interactions

– Applied case studies and design-oriented research in real organizational settings

– Conceptual frameworks integrating IS, organizational theory, cognitive science, and ethics

Ideal Submissions Will

– Explicitly model bi-directional influences between AI and human, organizational, and societal systems

– Connect micro and macro levels, showing how individual interactions aggregate into institutional outcomes

– Advance theory through novel constructs, frameworks, or cross-disciplinary integration

– Address both capabilities and limitations of AI in context

– Provide actionable insights for organizational design, governance, or responsible integration

Minitrack Chairs:

Thomas Ware Information Systems, University of Pittsburgh, Pittsburgh, Pennsylvania, United States, thw55@pitt.edu

Artificial Intelligence and Semantic Technologies for Intelligent Information Systems (SIG ODIS)

Track Chairs:

Vijayan Sugumaran, Oakland University, sugumara@oakland.edu

Track Description:

The purpose of this track is to provide a forum for academics and practitioners to identify and explore the issues, opportunities, and solutions using Artificial Intelligence, computational ontologies, data driven IS, and intelligence related to business and systems including the social web, intelligent systems design, implementation, integration and deployment. An increasing number of artificial intelligence-based systems are being developed in different application domains employing a variety of tools and technologies. This track is intended to increase cross-fertilization of ideas from these areas, share lessons learned and stimulate areas for further research.

Ontology Driven IS (SIG ODIS)

Minitracks:

Social, Ethical, & Practical Impacts of AI for Organizations and Individuals

AI is an important and increasingly pervasive tool of industry whose widespread adoption has given rise to several criticisms, such as a lack of transparency of analytical models, a lack of explainability of results, workforce disruption, and the potential to introduce or perpetuate implicit biases. This mini-track aims to provide a forum for addressing the social, ethical, and practical aspects of AI and ML. Particularly, papers exploring the impact of AI/ML through various analytic lenses, including societal, organizational, and individual perspectives, are welcome.

Call for Papers:

Potential topics:

Behavioural and organizational aspects of AI and ML
Automation of work through AI and ML
Legal, ethical, governance issues, and biased use of AI/ML
Effectiveness, business performance, job displacement, and the dark side of AI/ML
Standards and frameworks for AI/ML modeling and implementation
Explainable AI
AI Adoption diffusion
Ethical AI
Self-regulation across industries
Implicit and explicit bias in AI applications
Social justice and social inclusion

Minitrack Chairs:

Sunet Eybers, College of Science, Engineering & Technology, Information Systems Department, University of South Africa, Florida, Johannesburg, Gauteng, South Africa, eeyberss@unisa.ac.za

Agentic AI and Machine Learning – Applications, Solutions and Techniques

This mini-track focuses on the emerging paradigm of Agentic Artificial Intelligence (AI) — systems capable of autonomous goal-setting, reasoning in dynamic environments. As AI evolves beyond passive, data-driven models to proactive, self-directed agents, new challenges and opportunities arise in design, governance, human–AI collaboration, and the ethical deployment of AI.

The topic is of growing importance as organizations increasingly integrate autonomous AI systems into business, education, healthcare, and governance.

We invite theoretical, empirical, and application-oriented research that explores innovative agentic AI and machine learning approaches across diverse domains, including healthcare, finance, education, manufacturing, and smart cities. Topics of interest include agent-based modeling, multi-agent reinforcement learning, autonomous decision-support systems, explainable agentic AI, and the integration of large language models (LLMs) into intelligent agents.

This mini-track aims to foster dialogue among researchers, practitioners, and policymakers to advance understanding of agentic AI systems that are not only intelligent but also responsible, interpretable, and human-centered.

Call for Papers:

The Agentic AI and Machine Learning mini-track at AMCIS 2026 invites high-quality research contributions exploring the next generation of AI systems that exhibit autonomous, proactive, and adaptive self-learning behaviors. With the rapid advancement of large transformer-based language models (LLMs), reasoning agents, and reinforcement learning systems, AI research is evolving beyond predictive analytics toward agentic intelligence—where machines can reason, plan, and act with minimal human intervention while maintaining accountability and alignment with human values.

We welcome submissions that advance theoretical frameworks, methodological innovations, and real-world implementations of agentic AI. Research topics may include, but are not limited to:
• Agent-based AI architectures and their integration with LLMs and multimodal models
• Multi-agent collaboration and coordination in distributed and dynamic environments
• Reinforcement learning and autonomous decision-making in complex, uncertain systems
• Human–AI teaming and adaptive interfaces for effective co-agency
• Ethical, explainable, and trustworthy frameworks for agentic AI
• Applications in business, healthcare, education, defense, smart cities, and sustainability
• Evaluation metrics and benchmarks for autonomy, interpretability, and performance

This mini-track encourages interdisciplinary perspectives from computer science, information systems, cognitive science, and organizational research. We particularly welcome case studies, design science research, simulation studies, and empirical analyses that demonstrate how agentic AI systems can transform outcomes, innovation, and human–machine collaboration.

Researchers, practitioners, and policymakers are invited to submit full research papers, research-in-progress papers, or emerging ideas that push the boundaries of AI and machine learning toward agentic, responsible, and human-aligned systems.

Join us in exploring how agentic AI is reshaping the future of intelligent, ethical, and human-centered technologies.

Minitrack Chairs:

Vedanarayanan Venugopal, School of electrical and electronics engineering, sathyabama institute of science and technology, chennai, Tamil Nadu, India, vedanarayanan.etc@sathyabama.ac.in
Dr. Vijaya Baskar, ECE, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India, vijayabaskar.ece@sathyabama.ac.in

Promises and Perils in Ethics and Management of Artificial Intelligence: Disruption, Adoption, Dehumanisation, Governance, Risk and Compliance

“In the last decade, Artificial Intelligence (AI) has transitioned from a peripheral technology to a dominant driver of innovation. It is now used to recognize images, parse speech, answer questions, make decisions, and even replace humans.

Generative AI presents exciting possibilities, from text generation to image synthesis, but it also brings ethical challenges. Misused generative AI tools can breach privacy, jeopardize safety, and make unethical decisions. To navigate this landscape effectively, researchers and practitioners must understand the state of the art, adoption, and influence of AI and ML, while addressing ethical and governance mechanisms needed to safeguard human well-being. This minitrack focuses on the ethics and management of AI, with a particular emphasis on adoption, disruption, dehumanization, and governance, risk, compliance, and the ethical mechanisms required to protect and enhance human well-being. We welcome qualitative and quantitative orientations, offering both theoretical and practical contributions, from personal, organizational, and societal perspectives.”

Minitrack Chairs:

Dr. Valeria Aleksandra Sadovykh, University of Auckland, Auckland, New Zealand, valeriasadovykh@gmail.com
Gabrielle Peko, University of Auckland, Auckland, New Zealand, g.peko@auckland.ac.nz
Ruhi Bajaj, University of Auckland, Auckland, New Zealand, r.bajaj@auckland.ac.nz
Pooja Sengupta, University of Auckland, Auckland, New Zealand, pooja.sengupta@auckland.ac.nz
David Sundaram, University of Auckland, Auckland, New Zealand, d.sundaram@auckland.ac.nz

Generative AI: Practical Applications and Social Impact

Given the rapidly developing field of Generative AI, this mini-track explores the practical applications of Generative AI across various industries, its profound social impact, and the ethical considerations that arise from its use. Topics of interest include how generative models transform domains including creative content creation, healthcare, and education, while also addressing the societal challenges and moral dilemmas their application presents. Additionally, this track will critically examine the broader impacts of these technologies on society, including issues of algorithmic bias, data privacy, and the development of robust ethical frameworks for generative AI deployment as well as socio-technical perspectives that consider how these technologies can be designed and governed to serve the public good.

Call for Papers:

Potential Topics:

• Practical applications of Generative AI across industries such as healthcare, education and entertainment.

• Societal impact of Generative AI including its impact on culture, society, the future of work and legal frameworks.

• Inclusive and equitable AI innovation: exploring accessibility, representation, and the digital divide.

• Technical foundations and Advancements in Generative AI including architecture design, innovations in training techniques as well as performance evaluation and benchmarking.

• Human-centered and participatory design approaches for generative systems.

• Ethical frameworks and governance models for the responsible deployment of generative AI.

• Socio-technical systems thinking: how generative AI reshapes human decision-making, social dynamics, and institutional trust.

Minitrack Chairs:

Ann Rangarajan, Illinois Institute of Technology, Chicago, Illinois, United States, arangarajan@illinoistech.edu

Quantum Computing and Artificial Intelligence for Intelligent Information Systems

This minitrack focuses on the emerging convergence of quantum computing and artificial intelligence (AI) in advancing the design, optimization, and scalability of intelligent information systems. As classical computing approaches its performance limits, quantum paradigms—such as quantum machine learning, quantum natural language processing, and quantum-enhanced optimization—offer transformative potential for data-driven decision support, cybersecurity, and enterprise analytics. This minitrack invites conceptual, technical, and empirical studies that explore how quantum algorithms, hybrid classical-quantum architectures, and quantum-inspired models can enhance intelligence, reasoning, and interpretability in information systems. We particularly encourage submissions that integrate theoretical foundations with real-world applications, tool development, or design-science artifacts for business, management, or societal contexts.

Potential Topics include:

Hybrid AI–quantum architectures for decision and optimization tasks

Quantum-inspired algorithms for data analytics and intelligent automation

Integration of AI reasoning and semantic technologies in quantum workflows

Design and evaluation of next-generation intelligent systems

Ethical, governance, and organizational implications of emerging computational paradigms

Minitrack Chairs:

Giridhar Reddy Bojja, College of Business, Michigan Technological University, Houghton, Michigan, United States, gbojja1@mtu.edu
Loknath Sai Ambati, Meinders School of Business, Oklahoma City University, Oklahoma City, Oklahoma, United States, lambati@okcu.edu
Dr. Veerpratap Meena, National Institute of Technology – Jamshedpur, Jamshedpur, India, vmeena1@ee.iitr.ac.in

Semantics and Ontologies in Information Systems

Research in ontology, ontology-driven information systems and ontology applications is becoming increasingly widespread in the information systems community, especially given the challenges experienced with providing context for Generative AI. Its importance is being recognized in various research fields and application areas. This mini-track is primarily concerned with the use and application of ontologies and any semantic languages such as RDF(s) and OWL, as well as the associated technologies (such as querying, reasoning and reasoners) within information systems. Within this mini-track, the term ontology includes artefacts that use any semantic web languages such as OWL and RDF(S).

Call for Papers:

Research in ontology, ontology-driven information systems and ontology applications is becoming increasingly widespread in the information systems community. Its importance is being recognized in various research fields and application areas. This mini-track is primarily concerned with the use and application of ontologies and any semantic languages such as RDF(s) and OWL, as well as the associated technologies (such as querying, reasoning and reasoners) within information systems. Within this mini-track, the term ontology includes artefacts that use any semantic web languages such as OWL and RDF(S).

Potential topics:

Semantic applications supporting generative AI
Semantic applications within information systems
Ontology-driven information systems
Semantic-based systems architecture
Ontology integration and ontology systems integration
Meta-data
Ontology querying and reasoning
Ontology reuse
Ontology engineering
Specialised domain ontologies (e.g. enterprise ontology)
Ontology tools and technologies
Ontology-driven systems development and systems development methodologies
Upper, domain and application ontologies

Minitrack Chairs:

Aurona, Gerber Information Science, Stellenbosch University, Stellenbosch, Western Cape, South Africa, auronagerber@sun.ac.za

Customer Experience and Organizational Intelligence

Organizations are increasingly engaging with current and potential customers across a multitude of IT-mediated “touch points,” ranging from digital platforms to AI-driven systems. As these touch points expand in variety and sophistication, the need for coordinated and intelligent strategies will dominate management thought in the near and intermediate future. To stay competitive, organizations must leverage cutting-edge practitioner and academic research to tackle crucial challenges, such as differentiating user experiences across these varied interaction points, leveraging AI & ML to increase consumer reach, enhancing conversion rates, sustaining long-term customer loyalty, and seamlessly managing both global and local user experiences. At the core is a network of intelligent technologies, devices, and communication systems that enable seamless computing, collaboration, and commerce functionalities for end-customers. By embedding data, sensors, and controllers into physical and virtual environments, organizations can foster real-time, personalized interactions and dynamic co-engagement, creating value for both the customer and the organization.

Call for Papers:

Potential Topics for Submission:

Intelligent Customer Touch Points
AI and ML-Driven User Experience
AI Mechanisms for Expanding Consumer Reach
Improving Conversion Rates through AI/ML
Sustaining Customer Loyalty through Predictive Analytics
Managing Global and Local Customer Experiences via AI-driven Solutions
Seamless Customer-Organization Interaction through ICT
Organizational Intelligence: Acquisition and Management
Enhancing Customer Experience via Digital Technologies
Customer Value Co-Creation through Intelligent Service Systems
Emerging digital technologies, AI, learning for personalized interactions
Innovative customer service models.

Submissions should demonstrate how AI/ML and advanced analytics create dynamic, personalized customer experiences, fostering proactive engagement and innovation across industries. Join us in exploring the future of customer interaction through cutting-edge technologies.

Keywords: AI, machine learning, predictive analytics, preventive analytics, recommender systems, quality of service, customer experience, user engagement, conversion optimization, ICT, IoT, big data, digital transformation, personalization, global/local engagement strategies

Minitrack Chairs:

Sowmya Kamath, Dept. of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangalore, Karnataka, India, sowmyakamath@nitk.edu.in
Geetha Vasantha, Dept of Information Technology, NITK Surathkal, Mangalore, Karnataka, India, geethav@nitk.edu.in

Interplay and Acceptance of Intelligent Information Systems

In recent years, digital transformation has not only led to increased acceptance of the use of information technologies but also great challenges. As a result, new topics and trends emerged to address the steadily increasing amount of data and its efficient and innovative exploration. Apart from the main drivers, artificial intelligence and cloud computing, also concepts like edge computing, big data, microservices, deep learning, distributed systems as well as composable architectures came into play. Although these are widely recognized today, their interplay provides new potentials and reveals novel challenges. Hence, in this mini-track, we welcome a variety of research approaches related to the investigation of related topics.

Potential topics:

-Artificial intelligence and cloud computing

-Edge computing and big data

-Microservices and distributed systems

-Deep learning and intelligent systems

-Cyber-physical systems

-Behavioral and managerial aspects of intelligent systems

-Acceptance and adoption of intelligent systems

Minitrack Chairs:

Matthias Volk, Department of Technical and Business Information Systems , Otto-von-Guericke University Magdeburg, Magdeburg, Germany, matthias.volk@ovgu.de
Daniel Staegemann, Otto-von-Guericke University, Magdeburg, Germany, daniel.staegemann@ovgu.de

Changing Nature and the Future of Work (SIG CNOW)

Track Chairs:

David Eisenberg, Montclair State University, eisenbergd@montclair.edu
Jerry Fjermestad, NJIT, jerry.l.fjermestad@njit.edu
Liana Razmerita, Copenhagen Business School, lra.msc@cbs.dk
Nataliya Berbyuk Lindström, University of Gothenburg, nataliya.berbyuk.lindstrom@ait.gu.se
Martina Albareli, NJIT, ma2757@njit.edu

Track Description:

The nature of work and organizations is evolving as digital technologies become more deeply embedded in the workplace. New technologies have augmented the ways businesses create, access, and communicate information resources. This has resulted in transformations that alter the work itself and challenge core organizational aspects such as employee connectedness, engagement, the formation of meaning and identity in day-to-day activities. These functional attributes have enhanced the current incorporation by changing the nature of work and future demand of an evolving “new workforce.”

These changes also give rise to new forms of organizing, like the growing use of crowd-based work platforms. Such digital workplace platforms and ecosystems enable more dynamic and fluid work arrangements within and across organizations, offering greater flexibility in terms of when, where, and how we work. As human-AI collaboration becomes increasingly central in these digital environments, it introduces new dynamics in decision-making, creativity, and problem-solving, often blurring the lines between human agency and algorithmic influence. This new landscape presents enormous opportunities to enhance workers’ lives and foster more sustainable, resilient organizations, with broader societal benefits.

However, the mere availability of new technologies and existing labor resources does not ensure enhancements in operational strategizing and corresponding efficiencies and innovation. The interactions of workers and technologies introduce vast complexities that involve obstacles that must be identified, understood, and managed. Technological innovations should be integrated with advances in learning, workforce training, social, behavioral, and economic perspectives, i.e., intellectual capital.

The track aims to extend our understanding of a) the changing nature and future of work, and b) digital transformations’ role in the human, societal, and technological dimensions of work. This track addresses the impact of people, society and technological innovation on the changing nature and future of work, for theory, research, and practice.

Changing Nature of Work (SIG CNOW)

Mini-Tracks:

Organizational Governance in an Age of AI

We invite submissions for a minitrack on organizational governance in the era of artificial intelligence (AI). As AI technologies increasingly shape decision-making, operations, and strategy, organizations must rethink governance structures to ensure accountability, transparency, and ethical oversight. Recent IS research has shown how organizations are beginning to implement AI governance practices, highlighting best practices, barriers, and organizational outcomes through comparative case analyses (Papagiannidis et al., 2023). Complementary work has synthesized responsible AI governance approaches and offering a research framework for future inquiry (Papagiannidis, 2025). We welcome empirical, theoretical, and design-oriented contributions that explore topics including but not limited to how AI governance is enacted at board, executive, and organizational levels; how governance processes interact with ethical, cultural, or regulatory contexts; and how tensions between innovation and accountability are managed in practice.

Call for Papers:

Minitrack Chairs:

Smriti Srivastava, University, Kalamazoo, Michigan, United States, smriti.srivastava@wmich.edu
Rahul Srivastava, University of North Texas, Denton, Texas, United States, rahulsrivastava@my.unt.edu

Redefining the Future of Collaboration and Workforce Dynamics through AI and Emerging Digital Technologies

The rapid advancement of Artificial Intelligence (AI) and emerging technologies, such as Augmented, Virtual, and Extended Reality (AR/VR/XR), conversational agents, digital twins, and Large Language Models (LLMs), is profoundly reshaping how work is performed, organized, and experienced. These developments are transforming the future of work and driving the changing nature of work, as organizations move toward increasingly digitized and hybrid working environments. Accordingly, collaboration between human workforces and intelligent technologies requires redefining communication, creativity, and decision-making, while influencing all aspects of modern work from team coordination and knowledge-intensive tasks to workspace design, governance, and the ethical management of algorithmic systems.

This minitrack provides an interdisciplinary forum to explore how AI and advanced emerging technologies are transforming collaboration, workforce dynamics, and organizational models in the evolving future of work. We invite conceptual, empirical, and design-science studies that offer theoretical, methodological, and practical insights for creating responsible, inclusive, and innovative AI-enabled workplaces.

Call for Papers:

The rapid advancement of Artificial Intelligence (AI) and emerging digital technologies such as Augmented Reality (AR), Virtual Reality (VR), Extended Reality (XR), conversational agents, digital twins, and Large Language Models (LLMs) is profoundly reshaping the way work is performed, organized, and experienced. Organizations are shifting beyond conventional physical workplaces toward more digitized and hybrid environments.

Such transformation enables new ways of human–human collaboration and, increasingly, human–AI collaboration in decision-making, creativity, and problem-solving. The technology-driven changes affect nearly every dimension of modern work: 1) how teams communicate, coordinate, and perform, 2) how AI systems support knowledge-intensive tasks and decision-making (e.g., real-time summarization, task allocation, intelligent coordination, creativity enhancement), and 3) how organizations design adaptive workspaces, govern hybrid teams, and address ethical, regulatory, and societal challenges arising from automation and algorithmic management.

This minitrack aims to serve as an interdisciplinary forum to explore how AI and other emerging digital technologies are shaping the future of work. We invite studies that examine how these technologies transform collaboration, workforce dynamics, and organizational models, while addressing the opportunities and risks they pose for employees, leaders, and society as a whole. The track encourages research on exploring behavioral, organizational, and socio-technical approaches to better understand and guide the development of digitized and AI-augmented work environments. By bringing together diverse perspectives, this minitrack seeks to advance scholarly understanding and offer practical guidance for building responsible, inclusive, and innovative digital workplaces in the age of AI and emerging technologies.

The mini-track welcomes conceptual, qualitative, quantitative, and design-science studies that offer new theoretical perspectives, methodological innovations, or actionable insights for practitioners navigating the future of work in the era of AI and digital transformation. Topics include, but are not limited to:

Human–AI collaboration in decision-making, creativity, and knowledge-intensive tasks for the future of work.
Redefining the workforce: skill evolution, reskilling/upskilling, and multi-generational inclusion (e.g., Gen Z, millennials, Gen X, baby boomers) in AI-augmented workplaces.
Generative AI adoption and its future impact on organizational structures, governance, and business models.
Human–human collaboration in virtual and hybrid work settings supported by AI agents, chatbots, digital twins, or immersive technologies (AR/VR/XR).
Algorithmic management and AI-mediated leadership and collaboration: transparency, fairness, and worker autonomy.
AI-driven avatars and digital twins as enablers of new work environments and collaboration paradigms.
Ethical, regulatory, and privacy considerations in AI-mediated workplaces (e.g., productivity monitoring, data protection, privacy-preserving analytics, LLM memorization risks).
Adaptive workspace design: AI-driven personalized workflows, inclusion-promoting systems, and work-life balance support.
Economic and labor market implications of AI adoption, including productivity, innovation, reskilling, job creation, and workforce turnover.

Minitrack Chairs:

Soo Il Shin, Information Systems and Security, Kennesaw State University, Kennesaw, Georgia, United States, sshin12@kennesaw.edu
J.B. (Joo Baek) Kim, The University of Tampa, Tampa, Florida, United States, jkim@ut.edu
Chen Zhong, Information and Technology Management, The University of Tampa, Tampa, Florida, United States, czhong@ut.edu
Yuanxia (Yolanda) Li, Department of Information Systems and Security, Kennesaw State University, Kennesaw, Georgia, United States, yli60@kennesaw.edu

Navigating Well-being in Digital Work Environments

This mini-track explores how digital technologies—such as AI, generative systems, immersive tools, and hybrid work platforms—are reshaping employee well-being across all organizational levels. As work becomes increasingly mediated by algorithms and automation, well-being must be reframed as a strategic and systemic priority rather than a peripheral HR concern. We invite research offering critical perspectives and actionable insights on fostering behavioral, psychological, social, and ethical well-being in digital work environments.

Topics of interest include, but are not limited to: digital leadership and governance strategies that prioritize dignity and responsibility; human–AI interaction and managerial practices balancing performance, care, and transparency; psychosocial dynamics such as technostress, cognitive overload, and identity shifts; inclusion and equity in global, neurodiverse, and AI-enabled teams; and the design of digital tools, systems, and interventions that enhance motivation, autonomy, and mental health.

Submissions are encouraged to integrate theoretical, empirical, and design-oriented approaches to promote holistic well-being in digitally workplaces.

Call for Papers:

As digital technologies continue to reshape the modern workplace, employee well-being has emerged as a critical focal point of organizational inquiry and practice. The proliferation of artificial intelligence (AI) agents, generative AI systems, immersive environments, and hybrid or remote work technologies is fundamentally reconfiguring the nature of work—producing both enhanced efficiencies and novel organizational challenges. Within this evolving context, well-being must be reconceptualized not as a peripheral concern of human resource management, but as a strategic, systemic, and multidimensional imperative embedded within the architecture of the digital enterprise.

This mini-track seeks research that critically investigates how well-being is constructed, sustained, or disrupted across varying levels of digitally mediated work—from executive decision-making to operational tasks. Strategically, organizational leaders must navigate the tension between digital innovation, ethical responsibility, and long-term sustainability. Middle and line managers play a pivotal role in fostering inclusion, psychological safety, and engagement within increasingly automated and dispersed teams. At the operational level, employees encounter the direct implications of algorithmic management, cognitive automation, and hyper-connectivity for their work practices, professional identities, and intrinsic motivation

This minitrack seeks research that offers actionable insights, critical perspectives, and innovative approaches to enhancing well-being in digital work environments. We welcome contributions through (but not limited to) the following themes:

1. Digital Leadership, Strategy, and Governance

• Organizational strategies for AI-human augmentation that center well-being

• Ethical leadership and responsible innovation in digitally transformed workplaces

• Governance of algorithmic systems and surveillance tools with respect to employee dignity

2. Human-AI Interaction and Managerial Practice

• The role of generative AI in employee development, engagement, and retention

• Algorithmic management and its implications for human agency and managerial judgment

• Balancing performance, transparency, and care by middle managers

• Leadership practices in AI-augmented and hybrid teams

3. Psychosocial Dynamics of Digital Work

• Technostress, cognitive overload, and emotional exhaustion in always-on environments

• Psychological safety, trust, and resilience in AI-supported or distributed teams

• Navigating AI fatigue, automation anxiety, and identity shifts in digital workflows

• Impacts of emotion-aware systems and neuroadaptive interfaces on worker well-being

4. Inclusion, Culture, and Equity in Digital Teams

• Designing inclusive digital work cultures across generational, neurodiverse, and global teams

• Digital dignity, autonomy, and fairness in AI-enabled environments

• Addressing biases and inequities in automated decision-making

• Strategies for digital disconnection, boundaries, and sustainable hybrid work cultures

5. Designing for Well-being

• Personalized well-being through wearables, biofeedback, and self-tracking tools

• Digital detox approaches and interventions in hyper-connected work settings

• Use of digital twins, AI copilots, and intelligent assistants to enhance or hinder motivation

• Designing technologies that promote mental health, purpose, and balance at work

We invite high-quality submissions that advance theory, inform practice, or design novel interventions related to well-being in digital work environments. We encourage interdisciplinary contributions using diverse research methods, including qualitative, quantitative, mixed-methods, design science, and critical approaches.

Submission Guidelines: https://amcis2026.aisconferences.org/submissions/types-of-submissions/

Important Dates:

Paper submissions begin: January 4, 2026

Paper Submission Deadline: Mar 1, 2026, 17:00 PST

Camera-Ready Paper Due: TBD

Conference Dates: August 19-23, 2026

For any queries regarding the mini-track or the submission process, please contact the mini track chair at jpatel@fit.edu. We look forward to insightful contributions that shape the discourse on holistic well-being in the digital age!

Minitrack Chairs:

Jignya Patel, Florida Institute of Technology, Melbourne, Florida, United States, jpatel@fit.edu
Elaine Mosconi, Business School, Université de Sherbrooke, Sherbrooke, Quebec, Canada, elaine.mosconi@usherbrooke.ca
Dr. Rui Sundrup, University of Louisville, Louisville, Kentucky, United States, rui.sundrup@louisville.edu

The Gig Economy and the Future of Work: Navigating Algorithmic Systems, Digital Infrastructures, and Stakeholder Challenges

The gig economy continues to redefine how work is structured, mediated, and valued, transforming traditional employment relationships into dynamic, technology-enabled exchanges. In this evolving landscape, gig workers gain flexibility and diverse income opportunities. Customers benefit from the convenience and personalization of on-demand services tailored to their needs, while platforms leverage data-driven and AI-enabled systems to connect, monitor, and match participants efficiently.

However, persistent challenges remain, including work precarity, variable service quality, and the expanding influence of algorithmic management, which shapes visibility, task allocation, and performance evaluation. These dynamics affect worker welfare, client satisfaction, and the long-term sustainability of platform ecosystems.

This minitrack examines the evolving dynamics of algorithmic systems, digital infrastructures, and stakeholder relationships in the gig economy—exploring how these forces continue to transform work relations, customer experiences, and platform governance in the future of work.

Call for Papers:

This mini-track examines the evolving dynamics of algorithmic systems, digital infrastructures, and stakeholder relationships in the gig economy—exploring how these forces continue to transform work relations, customer experiences, and platform governance in the future of work.

Minitrack Chairs:

Fatima Mohammed, Information Systems, University of Nevada, Reno, Reno, Nevada, United States, fmohammed@unr.edu
Indika Dissanayake, University of Massachusetts Amherst Amherst, Amherst, Massachusetts, United States, idissanayake@isenberg.umass.edu
Lakshmi Iyer, Information Systems and Supply Chain Management, university of North Carolina Greensboro, Greensboro, North Carolina, United States, idissanayake@isenberg.umass.edu; lsiyer@uncg.edu

Cybersecurity, Privacy & Ethics (SIG SEC)

Track Chairs:

Gregory Bott, The University of Alabama, greg.bott@ua.edu
Philip Menard, University of Texas at San Antonio, philip.menard@utsa.edu
Bryan Hammer, University of Montana, bryan.hammer@umt.edu
Clay Posey, Brigham Young University, clay.posey@byu.edu
Andrew William Green, Kennesaw State University, agreen57@kennesaw.edu

Track Description:

AIS SIGSEC provides networking opportunities for people who conduct research, develop and/or teach about information security, assurance, digital forensics, privacy, and information system risk management and auditing. SIGSEC members discuss issues related to the theory, practice, methods, and applications of technologies to better understand and promote sound information security and privacy activities by individuals and organizations alike.

Based on recent prior submissions to the AMCIS SIGSEC track, we anticipate receiving paper submissions in a wide range of topic areas, including (but not limited to) the following broad categories:

The dynamic interplay between IS artifacts and regulatory obligations
The normative aims of privacy, fairness, transparency, or accountability within personal computing and organizational contexts
New theories and constructs that have not been explored in IS security compliance literature
The rapid advancements in both AI technologies and the increasing importance of cybersecurity
The socio-technical, behavioral, and economic perspectives of cybersecurity

Minitracks:

IT Governance, Risk, and Compliance in the Context of Security and Privacy

Researchers have typically addressed security problems from a purely technical perspective. This mini-track welcomes research addressing information assurance issues from a socio-technical, economic, and behavioral perspective. The mini-track provides a platform for researchers in the IT Risk, IT Audit and Compliance area.

This mini-track solicits empirical, theoretical, conceptual, and case-based research studies that seek to explore the Governance, Risk, and Compliance (GRC) issues of security and privacy. The track welcomes all papers that fit the track’s theme regardless of methodological persuasions. Literature survey papers are welcome.

Call for Papers:

Analytics to improve security, profile employees
Text mining methods in predicting hacker sentiments
Factors facilitating the successful adoption, implementation and sustainment of GRC frameworks to security.
Factors implicated with the successful integration of Information System security elements: 1) Logical security, 2) Infrastructure security and 3) Premises security.
Adoption and growth of malware and adware.
Economics and quantification of IT Risk.
Risk analysis and management, risk and fraud assessment
IT audit and controls
Identity theft and risk assessment
Individual motivators and inhibitors of employee computer crime
Insider threat behaviors and antecedents
Intrusion detection/prevention systems
Security and privacy for Cloud Computing services.
Legal, societal, and ethical issues in IS security and privacy
Security and privacy concerning social media and social networking
Security and privacy metrics and strategies
Security and privacy of mobile devices
Social and business security and privacy policies
Security risk assessment
Socio-technical mechanisms for countering the cyber threat
Behavioral issues in IS security
IS security culture and awareness issues
Security issues emanating from globalization and outsourcing
Organizational issues in IS security

Minitrack Chairs:

Gurpreet Dhillon, University of Nebraska Omaha, Omaha, Nebraska, United States, gdhillon@unomaha.edu
Raj Sharman, School of Management, University at Buffalo, SUNY, Buffalo, New York, United States, rsharman@buffalo.edu
Arunabha Mukhopadhyay Information Technology and Systems, Indian Institute of Management Lucknow, Lucknow, Uttar Pradesh, India, arunabha@iiml.ac.in
Manish Gupta School of Management, University at Buffalo, Buffalo, New York, United States, mgupa3@bufallo.edu

Trustwothy AI in Cybersecurity: Balancing Protection, Privacy, and Accountability

This mini track seats at the intersection of Cybersecurity, Artificial Intelligence (AI), Privacy, and Ethics. As AI increasingly underpins digital infrastructures and decision-making, it enhances threat detection and risk management but also introduces new vulnerabilities and ethical challenges. The track invites theoretical, empirical, and design-oriented research on trustworthy and responsible AI in cybersecurity.

Topics include designing transparent and secure AI systems, ensuring privacy-preserving and ethical governance, and fostering effective human–AI collaboration. By bringing together information systems researchers, cybersecurity experts, and digital ethics scholars, this mini track aims to deepen understanding of how AI can simultaneously safeguard and endanger organizational systems, advancing both theory and practice at the nexus of technological innovation and moral responsibility.

We propose a mini track for AMCIS 2026 centered on the critical intersection of Cybersecurity, Artificial Intelligence (AI), Privacy, and Ethics. As AI becomes embedded in digital infrastructures and organizational decision processes, it reshapes how systems detect threats, manage risk, and govern sensitive data—while simultaneously introducing new vulnerabilities and moral dilemmas.

The rise of AI-enabled defense tools, large language models, and autonomous detection systems presents both opportunities for enhanced protection and concerns over bias, surveillance, and accountability. This mini track will provide a platform for scholars and practitioners to explore how to design, govern, and deploy AI systems that uphold security, transparency, and ethical integrity.

Call for Papers:

We seek theoretical, empirical, and design-oriented contributions that advance understanding of trustworthy and responsible AI in cybersecurity contexts.

Topics of interest include, but are not limited to:

AI and Machine Learning for Cyber Defense and Threat Detection
Adversarial Attacks and Robustness of AI Security Models
Privacy-Preserving and Ethical AI in Security Applications
Algorithmic Transparency, Accountability, and Governance in Cybersecurity
Responsible Use of Generative and Autonomous AI in Security Contexts
Balancing Surveillance, Privacy, and Ethical Risk in AI-Driven Security Systems

This mini track aims to convene an interdisciplinary community of information systems researchers, cybersecurity specialists, and digital ethics scholars to address how AI can be both a tool for protection and a source of new vulnerabilities.

Participants will gain insights into:

The design of trustworthy AI-enabled security systems
Strategies for privacy preservation and ethical governance
Frameworks for human–AI collaboration and oversight in cybersecurity

The mini track discussions will advance both theory and practice at the nexus of technology innovation and ethical responsibility.

Minitrack Chairs:

Lucian Visinescu, Texas State University, San Marcos, Texas, United States, llv19@txstate.edu
Dr. Tahir Ekin, McCoy College of Business, Texas State University, San Marcos, Texas, United States, t_e18@txstate.edu
Barbara Hewitt, Health Informatics and Information Management, Texas State University, Round Rock, Texas, United States, bh05@txstate.edu

Blockchain, AI, and Decentralized Systems: Innovations and Challenges in the Era of Secure Digital Assets

This mini-track seeks original research and innovative applications at the intersection of blockchain, artificial intelligence (AI), and decentralized systems, with a special emphasis on advancing cybersecurity, privacy, and ethical frameworks for the next generation of digital assets and Web3 technologies.

As decentralized finance (DeFi), smart contracts, and non-custodial digital asset management grow, robust solutions for secure transactions and privacy protection are critically needed. Emerging technologies, including AI-powered authentication, blockchain-enabled privacy, zero-knowledge protocols, and secure wallets (e.g., Tangem and MetaMask) promise to transform the landscape of self-custody, decentralization, and ethical data management.

Call for Papers:

The convergence of blockchain, artificial intelligence (AI), and decentralized technologies is transforming the cybersecurity landscape, introducing unprecedented opportunities and complex challenges for digital trust, privacy, and asset protection. As these paradigms intersect, there is an urgent need for research that not only advances theoretical understanding, but also demonstrates practical and experimental solutions for securing next-generation digital systems.

This mini-track seeks to bring together scholars, practitioners, and innovators at this dynamic crossroads. We invite data-driven AI research as well as experimental and applied studies that explore new models, implementations, and insights into the security, transparency, privacy, and trustworthiness of decentralized ecosystems, including, but not limited to, blockchain-based wallet solutions, authentication mechanisms, AI driven fraud detection, and intelligent threat detection.

We welcome submissions on topics such as:

— Fraud Detection in Cryptocurrency, Blockchain, and DeFi Systems:

Design and evaluation of AI, analytical, or experimental techniques for detecting, preventing, and mitigating fraud, money laundering, and financial crime in decentralized financial infrastructures, including innovative approaches for anomaly detection and transaction risk.

— AI-Driven Security in Decentralized Systems:

Novel applications of machine learning, deep learning, and data analytics to detect, prevent, and mitigate threats in blockchain networks, DeFi platforms, and decentralized autonomous organizations (DAOs).

— Experimental Research in Blockchain Security:

Hands-on security evaluations, penetration testing, and experimental deployments of blockchain wallet technologies; both hardware and software. Usability and adoption studies, vulnerability assessments, and best practices in the protection of digital assets.

— Privacy-Enhancing Technologies and Decentralization:

Innovative privacy protocols, including zero-knowledge proofs, confidential transactions, and blockchain-based anonymous credentials. Data-driven approaches for privacy auditing and measurement.

— Intelligent Authentication and Access:

AI-enabled biometric, behavioral, and multifactor authentication for decentralized applications. Evaluation of secure wallet implementations (e.g., chip-based, NFC, wearable) and their resilience against attacks.

— Cybersecurity Experiments in Digital Wallets:

Stress tests, behavioral studies, and empirical analyses of wallet security (hardware and software), focusing on real-world performance, resistance to physical and online threats, and user trust factors.

— Ethical, Social, and Regulatory Perspectives:

Data-driven or experimental studies on the ethical implications, regulatory compliance, and social acceptance of AI, blockchain, and decentralized solutions in cybersecurity contexts.

We encourage multidisciplinary approaches and a range of methodologies:

Data-driven AI and machine learning analyses
Simulation and experimental deployment studies
Usability testing and behavioral experiments
Technical, design science, or organizational research
Legal, ethical, and societal impact assessments

Disciplines Invited:

Information Systems, Cybersecurity, Data Science, Computer Science, Business Analytics, Social Sciences, Law & Ethics, Human-Computer Interaction

Who Should Submit:

Researchers, industry practitioners, security analysts, developers, and policymakers interested in advancing both the scientific and real-world application frontiers of blockchain, AI, and decentralized cybersecurity.

Minitrack Chairs:

Hamidreza Ahady Dolatsara, School of Business, Clark University, Worcester, Massachusetts, United States, hamid@clarku.edu
Ramona Jaberian, Video Game Development & Design, New England Institute of Technology, East Greenwich, Rhode Island, United States, ramona.jaberian@yahoo.com

Building Information Systems For Whole Community Disaster Resilience: Privacy, Security and Trust Issues

In a world increasingly vulnerable to disasters, the concept of whole community disaster resilience is a vital strategy. This approach emphasizes that disaster preparedness and recovery are not solely the responsibility of government agencies but require the active participation of all sectors of the community. From local businesses to faith-based organizations, every group plays a crucial role in building resilience.

All stakeholders collaborate to identify risks and implement protective measures. Localized knowledge is invaluable, as communities understand their unique challenges and resources. Communities must remain flexible in their planning to address evolving hazards. By focusing on long-term capacity building, communities can create robust recovery plans and ensure social cohesion.

A decentralized yet collaborative information infrastructure is necessary to support such an inclusive model. It strengthens individual preparedness, fosters collaboration, and enhances coordination, enabling a united front for effective response during crises and the uncertain situations that follow a disaster.

Call for Papers:

We invite submissions of original research papers for its upcoming event focusing on the intersection of information systems, security, privacy, and trust in the context of whole community disaster resilience. As communities become increasingly vulnerable to disasters, the role of secure and trustworthy information systems in disaster preparedness, response, and recovery has become critical. This mini track aims to bring together researchers, practitioners, and industry experts to explore innovative solutions and theoretical advances in this field.

Research Topics of Interest include the following and other topics related to the mini track’s theme:

Privacy Challenges in Disaster Information Systems: Methods for safeguarding sensitive data while enabling effective multi-agency and community members coordination during crises.
Cybersecurity in Decentralized Disaster Systems: Approaches to enhancing the resilience of community-wide information infrastructures against cyber threats during and after disasters.
Trust-Building Mechanisms: Designing frameworks that foster trust among diverse stakeholders (government, businesses, civil society) in information sharing during disasters.
Collaborative Information Infrastructures: Building decentralized, collaborative platforms that support seamless information flow across all sectors during disaster preparedness and response.
Ethics and Data Governance: Ethical and legal frameworks for managing data in disaster resilience systems, ensuring compliance while addressing privacy concerns.
AI-Enhanced Decision Systems: The role of artificial intelligence in facilitating collaborative decision-making in disaster scenarios across civil and emergency management authorities.
Smart Cities and Disaster Resilience: Case studies or models of smart city technologies aimed at improving public safety, infrastructure security, and resilience in disaster-prone areas.
Adaptive System Designs: Information systems designed to adapt to changing threats and community needs during disaster response and recovery.
Community Engagement and Public Safety Systems: Technological systems that support community engagement in
disaster preparedness based on shared understanding of available resources, limitations and various uncertainties based scenarios.
Cross-Disciplinary Approaches: Integrating information systems with public health, safety, and environmental sustainability for holistic disaster resilience strategies.

Minitrack Chairs:

Dipakkumar P Pravin, ITDS-Information Technology & Decision Sciences, UNT-University of North Texas, Denton, Texas, United States, dipakkumar.pravin@unt.edu
Sarbottam Bhagat, College of Business, University of Wisconsin – Eau Claire, Eau Claire, Wisconsin, United States, bhagats@uwec.edu

Behavioral Cybersecurity in the Generative AI Era

The rapid advancement of generative AI and LLMs has revolutionized various domains, including cybersecurity. Understanding the cognitive implications of these technologies on human behavior is essential for developing effective cybersecurity strategies. Generative AI and LLMs influence how individuals perceive and interact with digital content. This raises significant questions about trust, decision-making, and vulnerability to manipulation. By studying these cognitive aspects, we can better understand how to protect users from emerging threats and design systems that enhance security awareness and resilience. This mini-track seeks to help academics and practitioners further explore the challenges faced by information security and privacy professionals in organizations, welcoming research that addresses issues on behavioral cybersecurity in AI.

Call for Papers:

The rapid advancement of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) is transforming various domains, including cybersecurity. As these technologies increasingly shape how individuals perceive, process, and interact with digital content, understanding the cognitive impact of these tools is critical to developing effective organizational cybersecurity strategies. Generative AI and LLMs influence trust, decision-making, and susceptibility to manipulation, raising significant questions about user behavior and system vulnerabilities within organizations. This mini-track invites academics and practitioners to explore AI-related cybersecurity challenges from a socio-technical perspective, recognizing that cybersecurity is not solely a technical challenge but also deeply intertwined with human, organizational, and societal factors. We encourage research that explores the complex interplay between AI systems and human actors, including theoretical and practical insights on how these dynamics affect risk perception, compliance, resilience, and overall cybersecurity culture at multiple levels.

Possible topics include but are not limited to:

Cognitive Impacts of Generative AI And LLMs On Cybersecurity
Behavioral Analysis in the Context Of AI-Generated Content
Human Factors in AI- Driven Cybersecurity Environments
AI And Machine Learning for Threat Detection and Incident Response
Anomaly Detection Using AI
Cybersecurity Awareness and Training in the Era of AI
Ethical Implications of AI in Cybersecurity
Case Studies and Real-World Applications of AI in Cybersecurity

Minitrack Chairs:

Carlos Ivan Torres, Information Systems and Business Analytics, Baylor University, Waco, Texas, United States, carlos_torres@baylor.edu
May Bantan, University of Colorado Colorado Springs, Colorado Springs, Colorado, United States, mbantan@uccs.edu
Mahesh Boodraj, College of Business and Economics, Boise State University, Boise, Idaho, United States, mboodraj@boisestate.edu

Exploring the Intersection of Information Systems and Regulation on AI and Privacy

Call for Papers:

In the realm of Information Systems (IS), regulation has emerged as an increasingly significant normative imperative. This minitrack provides an opportunity to explore the intersection of IS and regulation, particularly in the context of artificial intelligence (AI) and privacy. Submissions may address organizational roles in relation to existing or forthcoming regulations, or examine how regulatory requirements are operationalized into IS design. Relevant regulatory frameworks include the European AI Act, the California Consumer Privacy Act, and the General Data Protection Regulation (GDPR), as well as broader normative aims such as privacy, fairness, transparency, and accountability. Comparative perspectives on different regulations and their mandated obligations are also encouraged. This minitrack welcomes conceptual, empirical, and theoretical contributions that engage with the intersection of IS and regulation.

Minitrack Chairs:

Christian Kurtz, Department of Informatics, University of Hamburg, Hamburg, Germany, christian.kurtz@uni-hamburg.de
Fabian Burmeister, University of Hamburg, Hamburg, Germany, fabian.burmeister@uni-hamburg.de

Data Science, Analytics, and AI for the Next Transformation (SIG DSA)

Track Chairs:

Dr. Shwadhin Sharma, California State University Monterey Bay – ssharma@csumb.edu
Dr. Amir Zadeh, Wright State University – amir.zadeh@wright.edu
Dr. Stephen McCarthy, University College Cork, Ireland – stephen.mccarthy@ucc.ie

Track Description:

The track Data Science, Analytics, and AI for the Next Transformation by SIG DSA seeks original research that advances technical, theoretical, design science, pedagogical, and behavioral perspectives on emerging applications in analytics, big data, and intelligent technologies—including AI and generative AI—driving the transformation of organizations, academia, and society.

Data Science, Analytics, and AI for the Next Transformation (SIG DSA)

Minitracks:

Smart Tourism and Tourism Analytics

Through smart tourism, a sheer volume of rich and comprehensive real-time data has become available, including demographics and psychographics of tourists, their behavior and experiences, and their travel patterns. Such data enables contextual marketing and personalized services for tourists, improving tourists’ experiences at destinations and increasing their satisfaction.

Tourism analytics, tourism design and smart tourism
Social media data analytics for tourism
Big data analytics in the tourism
Tourism analysis, modeling, and planning with behavioral data
Tourism intelligence, AI, and visual media analytics for destination management organizations

Call for papers:

Advances in technologies, such as artificial intelligence, cloud computing, big data, and the internet of things have helped gradually evolve the concept of smart tourism into a reality that thoroughly changed destination management and tourists’ experiences. Through smart tourism, a sheer volume of rich and comprehensive real-time data has become available, including demographics and psychographics of tourists, their behavior and experiences, and their travel patterns. Such data enables contextual marketing and personalized services for tourists, improving tourists’ experiences at destinations and increasing their satisfaction.

This mini track aims to bring together leading academic scientists and research scholars to exchange and share their experiences and research results on the topic of smart tourism. We thus invite papers that provide insights into all aspects of Smart Tourism and Tourism Analytics. In particular, we are interested in papers that discuss the most recent innovations, trends, and concerns, as well as practical challenges encountered, and solutions adopted in the fields of Smart Tourism and Tourism Analytics. Co-authored papers with practitioners are also encouraged.

Topics of interest include, but are not limited to:

Tourism analytics
Analytics in smart tourism design
Social media data analytics for tourism
Big data analytics in the tourism and destination management
Tourism analysis, modeling, and planning
Big data analytics, tourism design and smart tourism
Travel demand modeling with behavioral data
GIS monitoring of traveler flows based on big data
Tourism intelligence and visual media analytics for destination management organizations
Evaluating destination communications on the Internet
Analytics for tourism planning, management, and marketing
Data mining with social networks
Tourism information management and advanced analytics
Big data analytics for knowledge generation in tourism destinations
Spatial analysis of social data
City monitoring and tourism analytics
Social networks monitoring
Crowd monitoring in events

Minitrack Chairs:

Jahyun Goo, Florida Atlantic University, Boca Raton, Florida, United States, jgoo@fau.edu
Dr. Soyoung Park, Marketing and Hospitality, Florida Atlantic University, Boca Raton, Florida, United States, soyoungpark@fau.edu
Professor C. Derrick Huang, ITOM, Florida Atlantic University, Boca Raton, Florida, United States, dhuang@fau.edu
Ravi S. Behara, ITOM, Florida Atlantic University, Boca Raton, Florida, United States, rbehara@fau.edu

Geospatial AI and Location Intelligence Applications for the Next Transformation

This mini-track examines how Geospatial Artificial Intelligence (GeoAI), spatial analytics, and location intelligence are transforming decision-making, automation, and human–machine interaction across industries. As AI systems increasingly integrate spatial awareness, from mobility and logistics optimization to defense, climate resilience, and urban analytics, Location Intelligence has become a critical layer of intelligent system design. Aligned with the AMCIS 2026 theme, “The Next Transformation,” this mini-track invites research and case studies on how AI-driven spatial systems are designed, governed, and applied to generate actionable insights in business, government, and society. We particularly welcome work that explores responsible design, ethical deployment, and cross-domain innovation enabled by GeoAI, where location, context, and intelligence intersect to support transparent and sustainable decision-making. While the primary focus is on applications and design, submissions that draw on relevant IS theories, such as decision support, socio-technical, or dynamic capabilities frameworks, are also encouraged.

Call for Papers:

Minitrack Chairs:

Daniel Farkas, Seidenberg School, Pace University, Pleasantville, New York, United States, djf2128@gmail.com
Anthony Corso, Computing, Software and Data Sciences, California Baptist University, Riverside, California, United States, acorso@calbaptist.edu
Michael A. Erskine, Jones College of Business, Middle Tennessee State University, Murfreesboro, Tennessee, United States, michael.erskine@mtsu.edu
Dr. James B. Pick, School of Business, University of Redlands, Redlands, California, United States, james_pick@redlands.edu
Avijit Sarkar, School of Business, University of Redlands, Redlands, California, United States, avijit_sarkar@redlands.edu
Dr. Asish Satpathy, IS Department / W. P. Carey School of Business, Arizona State University, Tempe, Arizona, United States, avijit_sarkar@redlands.edu
Dr. Namchul Shin, Seidenberg School, Pace University, New York, New York, United States, nshin@pace.edu

Ethical, Responsible, and Explainable AI; Bias and Digital Equity in Decision-Making

AI offers great chances for improving healthcare. Enhancing diagnostics and managing resources better. However, it also raises important issues. These include algorithm transparency, fairness among patient groups, and proper governance.

Current regulations are inconsistent. Some are strict, while others are scattered globally. This creates risks, especially with algorithmic bias. Such bias can harm racial and socioeconomic groups in healthcare systems.

Efforts, such as the UK’s Health AI Global Regulatory Network, demonstrate growing consensus on the need for coordination. Where controls should focus on explainability and accountability, but where gaps in implementation still exist.

Healthcare organisations and technology developers need clear guidance. This will create AI systems that are clinically effective and ethically sound, ensuring fair patient outcomes.

This mini-track explores the challenges of fairness, transparency, and accountability in complex regulations. We welcome research that connects ethical principles with practical clinical use in both technical and organisational areas.

Call for Papers:

The use of Artificial Intelligence (AI) in healthcare brings both exciting opportunities and serious challenges. Hospitals are turning to AI to improve diagnosis, manage resources better, and enhance patient care (Rajkomar et al., 2018; Esteva et al., 2017). However, important questions remain about how transparent these algorithms are, how they treat diverse patient groups, and what rules should guide their use (Char, Shah, & Magnus, 2018)?

Regulations vary widely. Some areas have strict bans on oversight, while others form global networks to set common standards. This inconsistency raises significant risks. Bias in clinical algorithms can spread through healthcare systems (Obermeyer et al., 2019). Different governance rules lead to uncertainty and unequal access to reliable AI tools (Gianfrancesco et al., 2018). The issue is especially pressing in healthcare, where bias has been shown in widely used systems, affecting performance across racial and socioeconomic lines (Buolamwini & Gebru, 2020; Mitchell et al., 2019). Providers and technology developers need strong guidance on creating AI systems that are clinically effective, ethically sound, and fair for all patients (Rességuier & Rodrigues, 2020).

Recent efforts in international AI governance, like the UK’s Health AI Global Regulatory Network, show a growing understanding that responsible AI needs coordinated rules for explainability, bias reduction, and accountability (Whittlestone et al., 2019). Yet, many healthcare systems still struggle to put principles of fairness and transparency into action (Akinrinola et al., 2024; Fjeld et al., 2020).

This mini-track will explore these linked challenges. We welcome contributions that examine how healthcare AI can achieve explainability, fairness, and accountability while dealing with complex rules and institutional limits. We invite research that connects ethical principles to real-world implementation, highlighting both technical and organisational aspects of trustworthy AI in clinical practice.

Topics of interest include, but are not limited to:

Algorithmic bias in clinical decision-making and mitigation strategies
Explainability and interpretability of AI systems in healthcare
Comparative analysis of international AI governance frameworks
Ethical design principles for AI in healthcare/clinical environments
Equity and access in AI-enabled healthcare delivery
Institutional challenges in implementing responsible AI
Case studies of AI deployment in diverse healthcare settings
Accountability mechanisms for AI errors and adverse outcomes
Stakeholder engagement in AI system development and oversight
Data governance, consent, and patient privacy in AI systems
Sociotechnical perspectives on trust and transparency
Evaluation frameworks for ethical and equitable AI in practice

Minitrack Chairs:

Dr Wendy Rowan, Cork University Business School, University College Cork, Cork, Ireland, wendy.rowan@ucc.ie
Prof. Ciara Heavin, Business Information Systems, University College Cork, Cork, Ireland, c.heavin@ucc.ie

Generative AI Frontiers: Autonomous Agents, Multimodal Ecosystems, and Societal Reconfiguration in Academia and Industry

Generative AI is evolving from foundational models to autonomous, multimodal ecosystems that are profoundly transforming knowledge creation, ethics, and human augmentation. Powered by large language, diffusion, and foundation models, it is reshaping decision-making, education, creativity, and innovation across academia, industry, and society at large.

This mini-track invites conceptual, empirical, design-science, and pedagogical papers examining the adoption, integration, governance, and ethical implications of Generative AI systems. Relevant domains include research acceleration, education and curriculum design, creative industries, healthcare, finance, supply chain resilience, metaverse applications, and decentralized or blockchain-integrated AI systems.

Cross-cutting themes such as responsible AI, human–AI collaboration, alignment and safety in agentic systems, and governance frameworks for scalable deployments are especially encouraged. The mini-track aims to foster vibrant interdisciplinary dialogue among researchers, educators, and practitioners to deepen understanding of how Generative AI redefines work, learning, and innovation while advancing rigorous frameworks for safe, scalable, and symbiotic human–AI futures worldwide.

Minitrack Chairs:

Bartlomiej Hanus, Beacom School of Business, University of South Dakota, Vermillion, South Dakota, United States, bartlomiejh@gmail.com
Dr. Steven Wallace, College of Business and Innovation, University of Toledo, Toledo, Ohio, United States, Steve.Wallace@utoledo.edu
Dr. Benjamin George, Information, Operations, and Technology Management, University of Toledo, Toledo, Ohio, United States, benjamin.george3@utoledo.edu

Responsible and Explainable AI for Data driven Decision-Making

The integration of AI and advanced analytics into decision-making processes offers both opportunities and challenges across industries. This mini-track seeks original research on responsible and explainable AI systems, with a focus on fairness, transparency, and inclusivity in AI-driven decision-making. The track welcomes contributions that address, but are not limited to, innovative approaches to building ethical AI frameworks, aligning technological innovation with human values, improving productivity and long-term competitiveness, and decision-making models for autonomous systems (e.g., vehicles and drones) with implications for public safety and societal trust. Topics also include the impact of AI on digital equity and the role of generative AI in shaping responsible decision-making. Research on novel approaches to ensuring transparency and fairness in data analytics is encouraged. We invite empirical, conceptual, and design science studies that provide solutions for creating AI systems aligned with ethical principles, enabling a future where AI promotes equitable outcomes across various sectors.

Minitrack Chairs:

Noor Ul-Ain, Department of Management and Strategic Innovation, Léonard de Vinci Pôle Universitaire, Paris La Défense, Île-de-France, France, noorulain.phd@gmail.com
Dr. Mehwish Waheed, Department of Management Information System, Université Paris-Saclay, Univ Evry, IMT-BS, LITEM, Évry-Courcouronnes, France, m.waheed9@outlook.com
Giovanni Vaia, Ca’Foscari University, Venezia, Italy, g.vaia@unive.it

Behavioral Research in Data Analytics and Artificial Intelligence

The ability to leverage data analytics (DA) and artificial intelligence (AI) technologies has become a crucial factor for firm success. With the availability of data characterized by high velocity, volume, and variety, many firms have invested in DA and AI technologies to improve the quality of their decision-making. However, firms also acknowledge the critical role of human factors in analytics-based decision-making.

The focus of this minitrack is to explore and enhance understanding of the behavioral aspects of implementing and using DA and AI technologies. Particularly, this minitrack focuses on perceptions, attitudes, intentions, and behaviors related to DA and AI systems, and their impact on decision-making processes and outcomes.

Call for Papers:

The ability to leverage data analytics (DA) and artificial intelligence (AI) technologies has become a crucial factor for firm success [1, 2]. With the availability of data characterized by high velocity, volume, and variety, many firms have invested in DA and AI technologies to improve the quality of their decision-making. However, firms also acknowledge the critical role of human factors, such as human cognition, emotion, judgment, and behavior, in developing, implementing, and using such technologies. For example, data analysts need to integrate aspects that are not captured by analytical tools, such as ethical principles and intuition, into their analytics processes and decisions [3, 4].

The focus of this minitrack is to explore and enhance understanding of the behavioral aspects of implementing and using DA and AI technologies. In particular, this minitrack focuses on perceptions, attitudes, intentions, and behaviors related to analytics and AI systems, and their impact on decision-making processes and outcomes in organizational and social settings [5].

Suggested topics include, but are not limited to:

Impact of DA and AI use on decision-making quality
Ethical and privacy aspects of using DA and AI
Trust in DA and AI
Human-AI augmentation
User-centered DA and AI
Conversational AI
Anthropomorphism in AI
Algorithm aversion and appreciation
Algorithmic bias and fairness
Explainable AI
Technostress effects of DA and AI use

Minitrack Chairs:

Nima Kordzadeh, The Business School, Worcester Polytechnic Institute, Worcester, Massachusetts, United States, nkordzadeh@wpi.edu
Maryam Ghasemaghaei, McMaster University, Hamilton, Ontario, Canada, ghasemm@mcmaster.ca

AI in Game Design and Game Analytics for Next-Generation Interactive Systems

This mini-track explores the intersection of game design, game analytics, and artificial intelligence (AI) in the context of next-generation interactive systems. We welcome research that advances technical, behavioral, and design perspectives on how data science and AI are transforming games, from development and player engagement to societal impact. Topics include game learning analytics, procedural content generation, reinforcement learning, data-driven personalization, and ethics. Researchers and practitioners from information systems, computer science, analytics, education, and business are invited to share theoretical foundations or applied innovations that drive the progress of games as platforms for entertainment, learning, and social good.

Call for Papers:

As next-generation interactive systems continue to evolve, AI and analytics are at the forefront of game design, player engagement, and digital transformation. This mini-track invites research addressing:

AI-Driven Game Design: Procedural generation, adaptive AI, intelligent non-player characters (NPCs), narrative generation, and reinforcement learning in games.
Game Analytics: Player telemetry, engagement analysis, in-game economy modeling, personalization, and optimization using data science and analytics methods.
Gamification and Learning: Applications of analytics and AI for education, training, and social impact analyzing learning outcomes, engagement metrics, and cognitive skills in serious games and gamified platforms.
Societal and Behavioral Impacts: Ethics, inclusion, and digital well-being in games, including research on bias, addiction, toxicity, and the positive use of AI for safer, fairer gaming environments.
Business Models and Platform Design: Analytics for player-driven economies, monetization, blockchain applications, digital asset management, and decentralized game development.
Responsible and Explainable AI: Transparency, fairness, and ethics in AI-driven interactive systems.

We welcome submissions from a variety of disciplines, including but not limited to:

Information Systems
Computer Science
Data Science & Analytics
Education & Learning Sciences
Business, Marketing
Social Sciences

Potential topics include, but are not limited to:

AI for procedural content and level generation
Data-driven player behavioral modeling
Explainable AI and ethics in games
Analytics for game economy balancing
Machine learning for player segmentation and engagement prediction
Serious games and gamified learning analytics
Adaptive, AI-powered personalization in interactive systems
Gamification for organizational transformation
Digital equity and inclusion in game platforms
Blockchain and decentralized game asset management

Join us at AMCIS 2026 in Reno to discuss the future of AI and analytics in shaping next-generation games and interactive media experiences.

Minitrack Chairs:

Hamidreza Ahady Dolatsara, School of Business, Clark University, Worcester, Massachusetts, United States, hamid@clarku.edu
Ramona Jaberian, Video Game Development & Design, New England Institute of Technology, East Greenwich, Rhode Island, United States, ramona.jaberian@yahoo.com

Generative AI and Large Language Models in Education: Transforming Learning, Creativity, and Academic Decision-Making

The emergence of Generative AI and Large Language Models (LLMs) such as ChatGPT, Gemini, and Claude is reshaping how knowledge is created, shared, and evaluated in educational environments. These technologies hold tremendous promise for enhancing teaching, personalized learning, and academic productivity, yet they also introduce challenges related to creativity, integrity, fairness, and trust. This mini-track explores how LLMs influence educational decision-making, assessment, and innovation—bridging the gap between human intelligence and machine creativity. We invite research that critically examines both the opportunities and risks of integrating LLMs in education and offers frameworks for their responsible and effective use.

Call for Papers:

As generative AI becomes increasingly embedded in classrooms, universities, and research institutions, it challenges long-held assumptions about creativity, authorship, evaluation, and pedagogy. This mini-track seeks contributions from scholars, educators, and practitioners who explore the transformative impact of LLMs on learning, instruction, and academic decision-making. We particularly encourage interdisciplinary work that combines perspectives from education, information systems, psychology, management, and computer science.

Potential topics of interest include:

Decision-making and creativity in education supported by LLMs
Pedagogical design and learning innovation through generative AI
The role of LLMs in writing, problem-solving, and knowledge construction
Academic integrity, plagiarism detection, and trust in AI-generated work
Bias, fairness, and transparency in educational LLM applications
Teachers’ and students’ perceptions, adaptation, and resistance to LLMs
Generative AI for assessment, feedback, and student support systems
Policies, frameworks, and governance for responsible AI use in education

We welcome both conceptual and empirical studies that deepen understanding of how generative AI and LLMs reshape educational creativity, learning outcomes, and institutional decision-making. Selected papers will offer actionable insights for educators and policymakers seeking to integrate AI ethically and effectively in education.

Minitrack Chairs:

Xingwei Yang, Toronto Metropolitan University, Toronto, Ontario, Canada, nancy.yang@torontomu.ca

Governance in AI-Driven Decision Systems

As artificial intelligence (AI) becomes deeply embedded in decision-making across sectors, AI governance has emerged as a central mechanism shaping how intelligent systems influence individuals, organizations, and market competition. Governance determines how algorithmic systems and their use are designed, monitored, and constrained, affecting accountability, fairness, and societal trust in digital decision infrastructures.

This mini-track explores how governance frameworks, policy interventions, and institutional arrangements shape – and are reshaped by – AI-driven decision systems. We focus on issues such as regulation, organizational control, and value realization, emphasizing the balance between responsible innovation and risk mitigation. We particularly encourage studies situated in contexts where AI challenges established norms, incentives, and accountability structures, such as: (1) High-stakes decision environments; (2) Algorithmically mediated market competition; (3) Information and content ecosystems; (4) Algorithmic management and work transformation settings.

Call for Papers

The rapid diffusion of artificial intelligence (AI) across decision-making contexts has made AI governance a central concern for researchers and practitioners alike. Governance determines how algorithmic systems and their use are designed, monitored, and constrained, shaping accountability, fairness, and societal trust in digital decision infrastructures. This mini-track invites research examining how governance frameworks, policy interventions, and institutional arrangements influence, and are redefined by, AI-driven decision systems.

We particularly encourage studies situated in contexts where AI challenges established norms, incentives, and accountability structures, such as:

High-stakes decision environments, where automated diagnostic or risk-assessment systems reshape how safety, bias, and liability are managed;
Algorithmically mediated market competition, where AI-driven pricing, ranking, and recommendation logics blur the line between optimization and manipulation;
Information and content ecosystems, where generative AI redefines boundaries of truth, moderation, and epistemic accountability; and
Algorithmic management and work transformation settings, where intelligent systems redistribute authority, redefine expertise, and alter equity dynamics across roles.

Ultimately, this mini-track extends the SIG DSA 2026 theme, “Data Science, Analytics, and AI for the Next Transformation,” by emphasizing the governance dimensions of intelligent decision-making. While much of the discourse centers on AI’s technical and behavioral aspects, this track foregrounds the institutional and policy architectures that underpin responsible data science and analytics. It seeks to convene a diverse community of scholars exploring how regulation, competition, and governance frameworks can shape a more accountable and equitable AI-driven future.

Topics of interest include, but are not limited to:

Regulation and policy design for AI-driven decision systems and their use
Algorithmic governance, oversight, and compliance architectures
Antitrust and competition policy in intelligent platforms
Healthcare AI regulation and digital health accountability
Governance of generative AI, misinformation, and content integrity
AI, automation, and labor-market fairness
Transparency, explainability, and institutional trust in intelligent systems
Cross-sectoral policy comparisons and global AI governance initiatives
Policy and principle for fair use of AI-driven decision systems
Socially responsible value creation by AI-driven decision systems

Rather than emphasizing a specific methodology, the track welcomes conceptual, behavioral, analytical, empirical, and design science research that advances theoretical and practical understanding of governance in intelligent systems.

We invite scholars and practitioners to explore how decision intelligence and governance architectures jointly shape accountability, innovation, and social welfare, advancing dialogue on a responsible and human-centered AI future.

Minitrack Chairs

Yeongin Kim, Wake Forest University, Winston-Salem, North Carolina, United States, kimy@wfu.edu
Seonjun Kang, Missouri University of Science and Technology, Rolla, Missouri, United States, skdc2@mst.edu
One-Ki Daniel Lee, Information Systems, Virginia Commonwealth University, Richmomd, Virginia, United States, leeo@vcu.edu

Personal Decision Analytics: AI and Data for Empowered Living

The integration of artificial intelligence (AI) and analytics into daily life is transforming how individuals make informed choices that affect their health, finances, productivity, and overall well-being. This mini-track focuses on Personal Decision Analytics (PDA) and Decision Analytics and Digital Intelligence (DADI), data-driven approaches that empower individuals to understand, predict, and improve personal outcomes.

We invite research exploring the design, implementation, and impact of AI-powered decision-support systems that promote personal sustainability and responsible digital engagement. Topics include modeling personal outcomes through data analytics, adaptive and ethical decision companions, human–AI collaboration, gamified self-management, and applications across domains such as health, education, and finance.

This mini-track welcomes interdisciplinary contributions that bridge information systems, computer science, psychology, and health informatics to advance human-centered analytics for the next transformation.

Call for Papers:

As artificial intelligence (AI) and data analytics become increasingly embedded in daily life, individuals now have unprecedented opportunities to make informed, data-driven decisions about their well-being, productivity, and sustainability. From smart wearables to adaptive recommender systems, the digital environment has evolved into a personal ecosystem for Decision Analytics and Digital Intelligence that empowers people to understand, predict, and shape personal outcomes.

This mini-track invites research that explores how Personal Decision Analytics (PDA) and AI-powered decision intelligence are transforming individual decision-making across health, finance, education, productivity, and lifestyle management. We are particularly interested in interdisciplinary perspectives that blend technical design, behavioral theory, and ethical reflection to advance the human-centered use of analytics.

We welcome conceptual, design science, empirical, and pedagogical contributions addressing (but not limited to) the following topics:

Modeling and predicting personal outcomes (e.g., health risks, financial well-being) using AI and data analytics.
Design and evaluation of Decision Analytics and Digital Intelligence systems as adaptive decision companions.
The ethical, privacy, and equity dimensions of personal decision analytics.
Human-AI collaboration, explainability, and trust in personalized decision-making.
Applications of PDA across domains such as health, finance, education, and sustainability.
Gamification, behavioral nudges, and self-management through data-driven systems.
Integration of PDA and DADI with emerging technologies such as natural language processing, blockchain, IoT, and the metaverse.

This mini-track contributes to the SIGDSA theme “Data Science, Analytics, and AI for the Next Transformation” by expanding the focus from organizational decision support to the individual as the decision-maker in an increasingly digital society. We invite scholars and practitioners from information systems, computer science, psychology, health science, education, and related disciplines to join this conversation on how personal analytics can empower, sustain, and ethically guide the next generation of intelligent living.

Minitrack Chairs:

Dr Claris Chung, Accounting and Information Systems, University of Canterbury, Christchurch, New Zealand, claris.chung@canterbury.ac.nz
Miss Yuming Li, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand, yuming.li@aut.ac.nz
Miss Yuming Li, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand, yuming.li@aut.ac.nz
Dr Yvonne Hong, School of Information Management, Victoria University of Wellington, Wellington, New Zealand, yvonne.hong@vuw.ac.nz
David Sundaram, ISOM, University of Auckland, AUCKLAND, New Zealand, d.sundaram@auckland.ac.nz

Digital Capability and Organizational Agility (AGILE)

Track Chairs:

Jonathan Kim, University of Massachusetts Boston, jonathan.kim@umb.edu
Lan Cao, Old Dominion University, lcao@odu.edu
Eunice Parks, Old Dominion University, epark@odu.edu

Track Description:

Organizations today operate in turbulent environments characterized by rapid technological and market disruptions. To remain competitive, they must cultivate organizational agility by effectively leveraging and continually advancing their digital capabilities. Emerging technologies—such as generative AI, autonomous agents, digital twins, extended reality, quantum computing, and edge AI—are redefining how firms build digital capability and achieve organizational agility. The relationship between digital capability and organizational agility is dynamic. Digital capabilities, on one hand, enable organizational agility by streamlining operations, enhancing decision-making, and creating opportunities for strategic innovation. On the other hand, the rapid evolution of these technologies—especially AI—demands organizational agility, as organizations must quickly adjust strategies, processes, and workforce practices to effectively develop, adopt, and govern them.

This track seeks to advance understanding of the evolving interplay between digital capability and organizational agility in an era defined by AI and other frontier technologies. We invite work that addresses questions such as:

How do digital capabilities transform organizational processes and decision-making to enhance agility?
How does AI (e.g., generative AI, predictive analytics, autonomous systems) reshape organizational agility?
How does organizational agility support the development and adoption of emerging digital capabilities such as AI, digital twins, XR, and quantum computing?
How can digital resilience be built when both capability development and organizational agility must adapt to fast-evolving technologies?
What metrics best capture agility as both an outcome of digital capability and a condition for sustaining it?
What insights from related literatures (e.g., agile software development, lean methods, knowledge management) enrich our understanding of the digital capability–agility connection in the AI era?

Minitracks:

Digital Sourcing

As digital technologies are increasingly developed, maintained, and evolved collaboratively across multiple organizations, the management of sourcing relationships must move beyond traditional arrangements toward more complex, multilateral structures. Emerging technologies such as blockchain systems and artificial intelligence offer new ways to address the challenges of these distributed and diverse forms of sourcing. At the same time, generative AI tools, low-code platforms, and citizen development are empowering employees to source and co-develop digital solutions, thereby challenging established approaches to governance, control, and information systems development. The rise of AI represents a paradigm shift, compelling both practitioners and researchers to confront the challenges of governing systems that act autonomously, learn from data, and whose internal processes are often opaque even to experts. This minitrack welcomes submissions that advance our understanding of the above and related topics.

Call for Papers:

Digital Sourcing

Minitrack Chairs:

Kai Spohrer. Frankfurt School of Finance & Management, Frankfurt, Germany, k.spohrer@fs.de
Thomas Huber, ESSEC, Cergy, France, huber@essec.edu
Professor Ning Su, Ivey Business School, Western University, London, Ontario, Canada, nsu@ivey.ca

Digital Technology for Crisis Management and Global Development

Aligned with SIG GlobDev’s mission, this mini-track explores how ICT4D addresses the growing complexity of global crises, ranging from natural disasters to humanitarian emergencies and systemic disruptions, while advancing human and socio-economic development.

The focus is directed toward the potential of innovative infrastructure and digital tools to enhance both technical resilience (infrastructure, coordination, early warning) and human resilience (mental health, equity, empowerment) in urban and rural contexts.

By integrating geospatial analytics, digital twins, and inclusive mobile platforms, ICT supports crisis prediction, preparedness, response, and recovery, well aligning with SIG GlobDev’s vision of using ICT to promote sustainable, inclusive, and equitable development across the globe.

We welcome empirical, design science, theoretical, and interdisciplinary contributions that demonstrate how ICT4D can empower institutions, cities, and individuals to manage crises and foster long-term resilience.

Call for Papers:

Aligned with SIG GlobDev’s mission, this mini-track explores how ICT4D addresses the growing complexity of global crises—ranging from natural disasters to humanitarian emergencies and systemic disruptions—while advancing human and socio-economic development.

We focus on the potential of innovative infrastructure and digital tools to enhance both technical resilience (infrastructure, coordination, early warning) and human resilience (mental health, equity, empowerment) in urban and rural contexts.

By integrating geospatial analytics, digital twins, and inclusive mobile platforms, ICT supports crisis prediction, preparedness, response, and recovery—aligning with SIG GlobDev’s vision of using ICT to promote inclusive and equitable development worldwide.

Topics of interest include (but are not limited to):

Coordinated platforms for government, NGO, and community actors.
Digital mental health tools and psychosocial support in emergencies.
ICT4D platforms addressing rural resilience and development gaps.
ICT-based solutions for climate-related and environmental disasters.
ICT-driven strategies for climate resilience and sustainability.
Inclusion, ethics, and digital equity in ICT-supported crisis response.
Recent findings, challenges, and advancements in the landscape of mobile applications.
Simulation, geospatial analytics, and digital twins in crisis planning.
Smart cities and IoT for urban crisis resilience and recovery.

This mini-track contributes directly to the SIG GlobDev track’s exploration of how digital innovation supports development goals through ICT-based resilience strategies, including both infrastructural and human dimensions.

Fast-track opportunity: Selected papers will be considered for publication in Information Technology for Development (ITD) – https://www.tandfonline.com/journals/titd20

Minitrack Chairs:

Ph.D. Jolanta Kowal, Institute of Psychology, University of Wrocław, Wrocław, Poland, pawel.weichbroth@og.edu.pl
Pawel Weichbroth, The Department of Software Engineering, Gdańsk University of Technology, Gdańsk, Pomorskie, Poland, pawel.weichbroth@pg.edu.pl

AI-Driven Agility and Societal Implications

AI-driven agility represents the capacity of organizations incorporating AI to continuously sense, learn, and adapt in response to rapid technological, market, and societal changes. Organizations must evolve their structures, strategies, and workforce practices to remain resilient and innovative. Yet, the societal implications are profound—raising concerns related to workforce displacement, ethics, privacy, and data governance. The acceleration of digital transformation through AI demands a balance between technological agility and responsible governance to ensure digital resilience and societal well-being. Understanding this dual dynamic offers a critical lens for examining how organizations can sustain competitive advantage while fostering trust and inclusion in the AI era.

Topics:

Organizational Transformation and Workforce Agility

Reskilling and capability development for AI-driven organizations

Governance, Ethics, and Digital Resilience

Managing data privacy, algorithmic transparency, and ethical accountability

Societal and Policy Implications

Socioeconomic impacts of AI-driven agility on employment, inclusion, and competitiveness

Trust and legitimacy in AI-driven organizational transformation

AI-Driven Agility and Societal Implications

Call for Papers:

Potential Research Questions

• How does AI-driven agility influence organizational structures, leadership models, and workforce skill requirements?

• What governance frameworks and ethical practices enable agile yet responsible AI deployment?

• How can organizations manage the trade-off between automation efficiency and human judgment in AI-augmented decision-making?

• What are the societal and ethical implications of AI-enabled agility—particularly regarding workforce displacement, transparency, and data privacy?

• How can public and private institutions collaborate to ensure that AI-driven agility fosters inclusion, trust, and shared prosperity?

Topics of Interest

Organizational Transformation and Workforce Agility

Reskilling and capability development for AI-driven organizations

Governance, Ethics, and Digital Resilience

Managing data privacy, algorithmic transparency, and ethical accountability

Societal and Policy Implications

Socioeconomic impacts of AI-driven agility on employment, inclusion, and competitiveness

Public sector agility through AI for policy responsiveness and crisis management

Trust and legitimacy in AI-driven organizational transformation

Minitrack Chairs:

Amrita George, Computer Information Systems, Georgia State University, Atlanta, Georgia, United States, ageorge12@gsu.edu

IT-enabled Organizational Agility and Security (Digital Agility)

Organizations aspire to be agile to keep up with highly unstable market today. IT has enabled organizational agility by building digital options, enhancing operational ambidexterity, improving sensing and responding capabilities, etc. While there has been a great focus on increasing organizational agility with IT enablement, our understanding of how such agility can compromise organizational security practices is limited. This minitrack invites research that investigates the interplay between organizational agility through IT enablement and security practices.

Some suggested topics are listed below:

– Organizational agility and information security

– Organizational strategy and security

– Digital agility and information security

– Agile methodology and information security

– Development, security, and operation

Minitrack Chairs:

Sumantra Sarkar, MIS, SUNY – BInghamton, Binghamton, New York, United States, ssarkar@binghamton.edu
Hyung Koo Lee, HEC Montreal, Montreal, Quebec, Canada, hyung-koo.lee@hec.ca
Arun Aryal, Information Systems, California State University Los Angeles, Los Angeles, California, United States, aaryal@calstatela.edu

Emerging Digital Technologies and Strategies for Agile and Intelligent Organizations

The rapid advancement of digital technologies has driven organizations to transform their business strategies and operations by adopting and implementing emerging digital initiatives, such as AI applications, data analytics, edge computing, IoT, and metaverse. As the variety of intelligent and interconnected digital technologies emerges, organizations face challenges of effectively leveraging these emerging digital resources and strategies to intelligently sense and respond to market competitions, changing demands, and unexpected social and business crises. This minitrack seeks studies that delve into the role of such cutting-edge technologies in building agile and intelligent organizations. Some fundamental questions are: What are the emerging digital resources and strategies to build agile and intelligent organizations for their survival in today’s highly complex and uncertain business environments? How should organizations implement various digital resources and strategies to achieve their expected and unexpected benefits? How can (should) the possible socio-technical shortcomings hindering organizational agility and intelligence be overcome?

Call for Papers:

The rapid advancement of digital technologies and the emerging trends of digital transformation have changed the business practices of contemporary organizations. These pressing needs have driven organizations to transform their business strategies and operations by adopting and implementing emerging digital initiatives, such as artificial intelligence (AI) applications, data analytics, edge computing, internet of things (IoT), and mixed reality (e.g., metaverse), to enhance not only their speed to respond to the market but also their intelligence in dealing with the complexity in today’s competition. As the variety of intelligent and interconnected digital technologies emerges, organizations face challenges of effectively leveraging these new digital resources and strategies to intelligently sense and respond to market competitions, changing demands, and unexpected social and business crises. Such new challenges continue to evolve due to the growing uncertainty and complexity in today’s business environments and market competition.

This minitrack seeks studies that delve into the role of such cutting-edge digital technologies in building agile and intelligent organizations. Some fundamental questions of this minitrack include:

1) What are the emerging digital resources and strategies to build agile and intelligent organizations for their survival in today’s highly complex and uncertain business environments?

2) How should organizations implement various digital resources and strategies to achieve their expected and unexpected benefits?

3) How can (should) the possible socio-technical shortcomings hindering organizational agility and intelligence be overcome?

All studies, including conceptual, qualitative, and quantitative research investigating the relationship between emerging information technologies and organizations are welcome.

TOPICS OF INTEREST

Topics for this mini-track include but are not limited to the following:

• AI-driven organizational transformation

• Artificial intelligence (AI) for organization performance

• Emerging data-driven technologies for business agility

• Data analytics capabilities for agile organization

• Intelligent digital infrastructure for agile organization

• Internet of Things (IoT) and organizational agility

• Emerging technology management practices for agile organization

• Cloud computing and organizational agility

• Edge computing and organizational agility

• Agile computing environment for digital innovation and transformation

Minitrack Chairs:

Dr. Peng Xu, Management Science and Information Systems, University of Massachusetts Boston, Boston, Massachusetts, United States, peng.xu@umb.edu

Strategic Agility through Innovative Knowledge Management

As enterprises continue to face dynamic business challenges, they require acceleration of strategic agility, a key driver of innovation, productivity improvements, strategic transformations, and cultural shifts. Innovative knowledge management, largely influenced by emerging technologies, enables enterprises to achieve important strategic agility. This minitrack explores (1) novel knowledge management approaches empowered by emerging digital technologies and (2) effective enterprise structures that foster strategic agility and innovation. We hope this minitrack can facilitate interactive scholarly conversations on innovative strategic agility and raise significant issues regarding the evolving landscape of knowledge management, its methodology, requirements, and organizational practices from both theoretical and applied perspectives.

The objective of this minitrack is to attract suitable papers covering the broadest range of research approaches and methodologies. Insightful, coherent, and methodically sound studies of any type (theoretical, empirical, or design science research) are equally encouraged.

The topics in this minitrack focus on strategic agility through knowledge management in the areas listed below, which include but are not limited to:

• Agile Enterprise Systems in the Era of AI: Explore how artificial intelligence, machine learning, and automation are reshaping enterprise systems to enhance agility.

• Next-Gen Agile Innovative Organizations: Investigate how data analytics, predictive modeling, and data-driven decision-making are propelling innovation in organizational structures.

• The Role of IoT in Agile Enterprise Engineering: Examine how Internet of Things (IoT) influences Agile Enterprise Engineering and its impact on knowledge management.

• Blockchain and Agile Enterprise Architectures: Discover how blockchain technology is transforming enterprise architectures, ensuring secure and transparent knowledge management.

• Knowledge Modeling and AI Frameworks: Delve into the intersection of knowledge modeling and advanced AI frameworks for efficient knowledge management.

• Cybersecurity in Agile Knowledge Management: Explore the critical role of cybersecurity in safeguarding knowledge assets in agile enterprises.

• Agile E-Government and Data-Driven Decision-Making: Analyze how e-government initiatives achieve agility through data-driven decision-making and innovative knowledge management practices.

• Supply Chain Agility in the Age of Automation: Assess how supply chain management leverages automation, robotics, and data analytics to enhance agility and knowledge sharing.

• Data-Driven Agility Performance Metrics: Investigate the development of metrics for evaluating knowledge management and agility using data-driven insights.

• Low-code/no-code AI Implementation: Explore the benefits of knowledge management or strategic agility through reduced barriers to entry in AI-driven analytics tool creation.

We look forward to receiving your submissions!

Minitrack Chairs:

Sun-young (Sunny), Whang Management Science & Information Systems, University of Massachusetts Boston, Boston, Massachusetts, United States, SunYoung.Whang@umb.edu
Qidi Xing,School of Computing and Analytics, Northern Kentucky University, Highland Heights, Kentucky, United States, SunYoung, xingq1@nku.edu
Lei (Nico), Zheng University of Massachusetts Boston, Boston, Massachusetts, United States, lei.zheng@umb.edu

Digital Government: Transforming the Future (SIG eGOV)

Track Chairs:

Vikas Jain, The University of Tampa, vjain@ut.edu
Vishanth Weerakkody, University of Bradford, v.weerakkody@bradford.ac.uk
Shivraj Kanungo, GWU, kanungo@gwu.edu

Track Description:

Current political, economic, social, and environmental issues present a formidable challenge to governments across the world as they navigate the complex and interconnected world. Managing global issues of immigration, geopolitical tensions, or pandemics requires collaboration and innovative governance. By embracing digital technologies, over years, governments have become more transparent, efficient, and responsive to citizen’s needs. The emergence of technologies such as cloud computing, big data analytics, blockchain, and artificial intelligence is paving the way to not only streamline administrative processes but also provide personalized services to citizens. Many of these technologies have the potential to address the issues of economic inequality, social disparities, or rapid changes in the labour markets. However, the rapid advancement of these technologies also highlights the need to develop appropriate regulatory frameworks especially in areas like artificial intelligence, data privacy, and digital currencies. By focusing on inclusive governance, sustainable development, and resilience-building efforts, governments can use intelligent technologies to co-create value with its stakeholders in a rapidly evolving and complex world.

This track welcomes research on the multiple dimensions of innovative transformations that intelligent technologies are heralding for governments of the future. We invite studies on the design, management, and implementation of intelligent technologies in the unique public sector setting that can help unearth the novel challenges that digital government research is facing. Papers that can combine methodological rigour with practical relevance are particularly welcome.

The focus of this track aligns well with the conference theme, Next Transformation. Governments across the world are testing intelligent technologies to transform the nature of services offered to their citizens. It is a highly appropriate time to research the issues and challenges facing development of digital future for citizens across countries.

Minitracks:

Beyond e-Government: e-Democracy, e-Inclusion, and e-Participation

The term e-government emerged in the late 1990s and generally describes a variety of interactions between national or communal administrations on one side, and residents and other entities on the other side, using information and communication technology (ICT). As our civilization more and more moves towards an e-society, a society where the use of ICT is increasingly accepted and integrated in all aspects of daily life, e-government may be progressing into e-democracy with e-inclusion and e-participation. Whereas traditionally e-government has been mainly providing information and services to the populace over the internet, with the decision-making remaining chiefly on the government side, e-democracy allows the general population to be included in democratic processes (e-inclusion) and participate in policy making (e-participation). This mini-track invites submissions dealing with all aspects of e-democracy, e-inclusion, and e-participation.

Call for Papers:

Dear Authors,

we are very happy to report that our AMCIS 2023, AMCIS 2024 and AMCIS 2025 mini-track “Beyond e-Government: e-Democracy, e-Inclusion, and e-Participation” was a great success, and we are offering our mini-track at AMCIS 2026! As your research is relevant to our mini-track, we hope that this time you could submit a paper.

Information about our mini-track “Beyond e-Government: e-Democracy, e-Inclusion, and e-Participation” can be found at:
https://amcis2026.aisconferences.org/submissions/track-descriptions/
Under the Digital Government: Transforming the Future (SIG E-GOV) track.

The due date is March 1, 2026 — Submissions close for authors at 5:00 PM PT (Pacific Time).

Beyond e-Government: e-Democracy, e-Inclusion, and e-Participation

Narcyz Roztocki, SUNY at New Paltz, roztockn@newpaltz.edu
Letycja Sołoducho-Pelc, Wroclaw University of Economics and Business, letycja.soloducho-pelc@ue.wroc.pl

Possible topics include (but are not limited to):
• Case studies of aspects of e-democracy, e-inclusion, or e-participation.
• Acceptance of e-democracy features by population groups.
• Technical characteristics of implementing e-democracy elements into e-government.
• Development of concepts related to aspects of e-democracy, such as e-lobbying, e-referendum, e-consultation, e-deliberation, e-petition, e-monitoring, etc.
• All aspects of e-voting, including security considerations.
• Development of e-parliaments.
• Social media and e-democracy.
• Innovation in the public sector and e-democracy.
• E-government as a tool for socioeconomic development.
• Opportunities for e-justice systems.
• E-administration, e-parliament, e-justice, as components of e-democracy.

If you are interested in submitting a paper to our mini-track, please let us know ASAP, so we can send you additional information. If you are interested in reviewing a paper for our mini-track please also let us know so we can add your name to the potential reviewer list.

Minitrack Chairs:

Professor Narcyz Roztocki Department of Accounting, Kozminski University, Warsaw, Poland, roztockn@newpaltz.edu
Ms. Letycja M. Sołoducho-Pelc, Strategic Management Department, Wroclaw University of Economics and Business, Wroclaw, Poland, letycja.soloducho-pelc@ue.wroc.pl

Edge Computing, AI, and Digital Governance: Towards Inclusive and Accountable Public Administration

The rapid diffusion of edge computing and artificial intelligence (AI) is transforming how governments design, deliver, and govern public services. By bringing computational capacity closer to data sources, edge computing enhances responsiveness, efficiency, and local adaptability in administrative processes. Yet this decentralisation also introduces new challenges for accountability, transparency, and ethical oversight in digital governance. This mini track explores how the integration of edge computing, AI, and data infrastructures is reshaping public sector architectures and decision-making systems. It invites critical and interdisciplinary perspectives on the governance of intelligent, distributed technologies and their implications for public trust, institutional capacity, and inclusion. Particular attention is given to how digital and social inclusion can be strengthened through participatory approaches, equitable access, and responsible data management. The session aims to build a shared understanding of how emerging technologies can support accountable, citizen-centred, and inclusive governance in the digital era.

Call for Papers:

The digitalisation of public administration continues to reshape how governments operate as data-driven and technology-enabled institutions. The convergence of edge computing, artificial intelligence (AI), and pervasive data infrastructures is driving a new era of digital governance, redefining accountability, transparency, and service delivery in the public sector. Edge architectures bring computing power closer to data sources, enabling real-time processing, responsive decision-making, and context-specific public services. This decentralised model enhances efficiency and resilience but also introduces new governance and ethical challenges related to security, algorithmic accountability, and institutional capacity.

Recent developments in digital governance reveal both progress and persisting disparities. While many governments are adopting AI for predictive analytics, public safety, or welfare optimisation, concerns over algorithmic bias, opacity, and citizen trust remain. The interaction between automation and administrative discretion presents dilemmas around human-AI co-agency, oversight, and digital accountability. At the same time, the shift towards edge-enabled public services demands robust frameworks for data sovereignty, interoperability, and responsible data stewardship, particularly across jurisdictions and public-private partnerships.

Crucially, digital and social inclusion are emerging as central pillars of effective digital governance. Edge computing, when integrated with participatory approaches and inclusive design, has the potential to reduce connectivity gaps and support equitable citizen engagement, especially in underserved or remote communities. Ensuring that diverse voices shape the design and deployment of digital services strengthens both legitimacy and public trust in AI-driven governance models.

This mini track invites conceptual, empirical, and policy-orientated research exploring how edge computing, AI, and digital technologies are transforming governance architectures, public value creation, and inclusive citizen engagement. It seeks to uncover how public agencies can embed transparency, fairness, and inclusion into the fabric of digital transformation.

The mini track aims to examine how AI, edge computing, and digital infrastructures are reshaping governance and policymaking processes while addressing the ethical and accountability implications of decentralised technologies, algorithmic transparency, and citizen trust. It seeks to explore how digital and social inclusion can be strengthened through participatory, data-driven models of public service delivery that enhance responsiveness and equity. In doing so, the track encourages interdisciplinary dialogue on the development of frameworks, metrics, and policy approaches that promote fairness, responsibility, and inclusivity in digital governance across diverse institutional and societal contexts.

Track topics are therefore focused on but not limited to the following list.

1. Edge computing and decentralised digital infrastructure in public administration

2. AI-enabled decision support systems and governance accountability

3. Digital transformation and adaptive service delivery in government agencies

4. Data governance, interoperability, and edge-based policy ecosystems

5. Algorithmic bias, explainability, and fairness in public sector applications

6. Human-AI collaboration and oversight structures in governance

7. Cybersecurity, resilience, and data sovereignty in distributed government systems

8. Citizen engagement, digital inclusion, and social trust in AI-driven governance

9. Ethical and legal dimensions of AI deployment in public decision-making

10. Case studies on digital governance innovation and localised edge adoption

11. Public-private collaboration and the governance of digital service platforms

12. Measuring digital and social inclusion in smart and equitable governance initiatives

Minitrack Chair:

Dr Amizan Omar, Dr Amizan Omar School of Management, University of Bradford, West Yorkshire, United Kingdom, a.omar4@bradford.ac.uk

Minitrack Co-Chair:

Mr. Luis Cordeiro, OneSource, Coimbra, Portugal, cordeiro@onesource.pt

Digital Government, High-Speed Connectivity, and Civic Engagement

The rapid advancement of digital technologies such as high speed internet, smart devices, AI, social media, and IoT has transformed government service delivery and citizen engagement. Broadband, 5G, 6G networks enable data driven decision making, expanded access to e services, and new forms of civic participation, allowing governments to respond efficiently to citizens’ needs. These technologies empower individuals and communities to engage actively in democratic and policy processes. However, increased connectivity also introduces challenges including digital inequality, information bias, data ethics, and trust in government systems. The capacity of communities to use high speed networks for civic mobilization, public deliberation, and collective action is reshaping citizen state relationships. This minitrack provides a forum for discussing original research on how emerging technologies and connectivity infrastructures influence the technical, organizational, and socioeconomic aspects of digital government. It also explores new models of citizen empowerment, engagement, and participation fostered by these technological developments.

Call for Papers

The rapid advancement of digital technologies such as high-speed internet connectivity, smart devices, artificial intelligence (AI), social media, and the Internet of Things (IoT) has fundamentally transformed how governments deliver services and engage with citizens.

Widespread high-speed connectivity, enabled by broadband, 5G and 6G networks, has become a critical enabler of digital government initiatives. It supports data-driven decision-making, enhances access to e-services, and fosters new forms of community interaction and civic participation. These technological developments allow governments to respond more efficiently to citizens’ needs and empower individuals and communities to participate more actively in democratic and policy processes.

However, while enhanced connectivity promotes inclusion and engagement, it also raises new challenges related to digital inequality, information bias, data ethics, and trust in government systems. The ability of communities to harness high-speed networks for civic mobilization, public deliberation, and collective action is reshaping the relationship between citizens and the state in profound ways.

The objective of this mini-track is to provide a forum for discussion and presentation of original research that explores how emerging technologies and connectivity infrastructures are shaping the technical, organizational, and socio-economic dimensions of digital government. It also aims to highlight new models of citizen empowerment, engagement, and participation that emerge from these developments.

Suggested Topics (include but are not limited to):

The role of high-speed internet and broadband connectivity in enabling digital government and civic engagement.
Use of smart devices, social media, artificial intelligence (AI), and Internet of Things (IoT) in delivering responsive and inclusive public e-services.
Impact of connectivity and social media on community building, civic engagement, and democratic participation.
New modes of digital participation such as e-voting, online consultations, and digital deliberation platforms.
Case studies of connected communities and digital inclusion initiatives in public administration.
Data-driven decision-making and analytics strategies for improving e-government performance.
Evaluation models for assessing the social and civic impacts of digital connectivity and new technologies.
Digital divide and equity issues arising from uneven access to high-speed internet and digital tools.
Information bias, misinformation, and the governance of digital discourse in connected societies.

10. Risks, ethical challenges, and governance implications of AI, IoT, and high-speed technologies in digital government.

Minitrack Chairs:

Kamran Mahroof, School of Management, University of Bradford, Bradford, West Yorkshire, United Kingdom, k.mahroof@bradford.ac.uk
Luis Cordeiro, OneSource, Coimbra, Portugal, cordeiro@onesource.pt

Digital Innovation, Transformation and Entrepreneurship (SIG DITE)

gdhillon@unomaha.eduTrack Chairs:

Arman Sadreddin, Concordia University, arman.sadreddin@concordia.ca
Kathryn Brohman, Queen’s University, kathryn.brohman@queensu.ca

Track Description:

Digital innovation, transformation, and entrepreneurship are reshaping how organizations operate, compete, and grow. A range of established and emerging technologies, such as AI, quantum computing, blockchain, cloud computing, IoT, and digital platforms, are enabling novel products, services, and ventures – while also driving fundamental changes in organizational structures, strategies, and industry dynamics. This track provides a forum for research that explores the interconnected roles of digital innovation, entrepreneurial action, and digital transformation. We particularly welcome studies that examine how organizations – both startups and established firms – create, experiment with, and scale digital innovations to enable transformation, and how digital entrepreneurship contributes to the renewal of firms and ecosystems. We invite conceptual, empirical, and design-oriented research that advances understanding of how digital technologies foster innovation, enable entrepreneurship, and drive meaningful transformation across levels.

Digital Innovation, Transformation and Entrepreneurship (SIG DITE)

Minitracks:

FinTech: Disruption in Financial Services

FinTech continues to reshape the financial services industry at an ever-increasing pace. The simultaneous emergence of a variety of technologies including artificial intelligence, machine learning, big data analytics, blockchain, and cloud computing have accelerated this change. Application areas include cryptocurrencies, digital banking, mobile wallets and remittances, POS and customer lending, robo investing, payment processing and networks, buy-now-pay-later, and regulatory and compliance. FinTech startups continue to receive billions in financing at various investment stages of development, and several, such as Stripe, Coinbase, and Robinhood, have had high-profile and successful IPOs. Such developments have generated considerable interests in the new and important research area of FinTech and related emerging technologies. The need to continue to build FinTech-related competencies among practitioners and researchers is apparent, and this mini-track provides a platform for researchers and practitioners to submit original studies on the topic.

FinTech continues to disrupt and reshape the financial services industry. The simultaneous emergence of a variety of technologies including artificial intelligence, machine learning, big data analytics, blockchain, and cloud computing have accelerated this change. The need to build FinTech-related competencies among practitioners and researchers is apparent. Given the importance and the challenges of FinTech, this mini-track provides a platform for original studies on the topic. The following is a partial list of suggested topics:

Disruption by FinTech on traditional financial services in global markets
Emerging technologies in corporate finance and investment management
Continuing development of cryptocurrencies and their impact on traditional finance
Buy-now-pay-later and consumer financing
Artificial intelligence applications in finance
Use of big data and machine learning in finance
Financial analytics in novel areas such as climate and catastrophe finance
Blockchain technology, smart contracts, and digital currencies
Alternative lending technologies and business models
Crowd funding models and technologies
Regulatory issues and challenges in FinTech

Minitrack Chairs:

Professor C. Derrick Huang, Raton, Florida, United States, dhuang@fau.edu)
Jahyun Goo, Florida Atlantic University, Boca Raton, Florida, United States, goo@fau.edu
Ravi S. Behara, Florida Atlantic University, Boca Raton, Florida, United States, rbehara@fau.edu

The New Frontier of IT Governance

As AI and broader digital transformation reshape organizations, the paradigms of IT governance are evolving. This mini-track welcomes submissions that reconceptualize governance in light of AI, generative AI, data, autonomous and other technologies. We encourage conceptual, empirical, and design-oriented papers examining how decision rights, accountability, and oversight must evolve in contemporary enterprises. Topics of interest include (but are not limited to):

AI governance and oversight (model validation, auditing, explainability)
Reimagining roles and responsibilities (board, C-suite, AI officers)
Aligning business strategy with IT and algorithmic strategy
Governance of data, privacy, and security in AI systems
Governance of AI agents and multi-agent systems: decision rights, authority, accountability
IT ambidexterity, agility, and governance in digital transformation
Regulatory and ethical implications of AI in the IT governance domain

This mini-track aims to push forward understanding of how governance must adapt to steward digital investments responsibly and strategically.

With advances in technology and the changing nature of the information technology (IT) function, the traditional understanding of governance does not adequately reflect the new realities of the digital world (DeLone et al., 2018), and new forms of governance are needed to account for cross-functional synergies and dynamic environments (Ross et al., 2017; Birkstedt et al., 2023). IT (see Haes et al., 2020), data (see Abraham et al., 2019)), and AI governance (see Birkstedt et al., 2023) are established domains guiding organizations in managing technology and data assets. Each employs structures (roles and responsibilities), processes (decision-making protocols) and relational mechanisms (collaboration between stakeholders) to align with organizational goals.

Call for Papers:

In particular, digital transformation requires organizations to rethink the essence of their business and implement profound changes enabled by digital technologies (Baiyere et al., 2020; Wessel et al., 2021). To effectively harness the potential of digital technologies and achieve successful digital transformation, organizations must implement the right mix of governance mechanisms that guide and oversee the transformation process (Sciuk and Hess, 2020; Wiesböck and Hess, 2020). This does not necessitate a reinvention of corporate governance. Rather, it demands a more comprehensive and adaptive interpretation of foundational governance principles. Because the governance of digital transformation typically spans multiple domains (i.e., business, operations, strategy, and technology) and while emerging evidence suggests that new governance perspectives are required (Sciuk and Hess, 2022; Wang and Burton-Jones, 2020; Wiesböck and Hess, 2020), the study of digital transformation governance remains an evolving research field.

Within the digital transformation realm, artificial intelligence (AI), generative AI (GenAI) and other autonomous technologies introduce distinct features that depart from traditional IT, bringing opportunities and governance challenges (Feuerriegel et al., 2024, van der Meulen & Wixom, 2024). For instance, GenAI tools offer diverse applications (e.g., legal, learning, marketing) but also unique risks (e.g., intellectual property leakage, copyright violation) that necessitate a departure from conventional governance approaches. Furthermore, unlike traditional IT systems, tools like GenAI’s are versatile and can be integrated into virtually any organizational activity. The ability to generate novel content autonomously and the introduction of unpredictable ethical and reputational risks, combined with the unprecedented adoption rates of these emerging tools, present unique challenges for governance frameworks. As a result, effective IT governance must prioritize dynamic, interconnected outcomes—balancing strategic innovation, emergent risk management, stakeholder trust, and governance agility.

Research is needed to examine how these governance domains (AI, IT, data), each with their distinct focus, independently and collectively contribute to a cohesive framework that enables organizations to leverage emerging technologies responsibly and effectively in the digital transformation era.

Minitrack Chairs:

Jennifer Jewer, Memorial Univeristy, St John’s, Newfoundland and Labrador, Canada, nadege.levallet@maine.edu
Nadege Levallet, Maine Business School, University of Maine, Orono, Maine, United States, nadege.levallet@maine.edu
Dr. Nick van der Meulen, Sloan School of Management, MIT, Cambridge, Massachusetts, United States, nmeulen@mit.edu

Digital Innovation, Transformation and Entrepreneurship in the Public Sector

Digital transformation (DT) in the public sector is fundamentally distinct from its implementation in the private sector. While private organisations prioritise efficiency, competitiveness, and profit, public institutions operate under principles of transparency, accountability, equity, and the creation of public value. These contextual differences significantly shape how emerging technologies are adopted, implemented, and scaled within public bodies. This mini-track invites theoretical, empirical, and design-oriented contributions that explore the adoption and implementation of emerging technologies such as AI, blockchain, IoT, and advanced data analytics in government settings. We welcome studies that address barriers and enablers of transformation, organisational and cultural challenges, and the pursuit of public value, transparency, and citizen engagement. Submissions may also examine governance, ethics, accountability, policy, and regulatory factors, as well as legacy system modernisation and interoperability challenges. Comparative analyses between public and private sectors and case studies across domains such as local government, education, or healthcare are encouraged.

Call for Papers:

Digital transformation is often heralded as a critical enabler of organisational innovation and service improvement. While a substantial body of research has explored digital transformation within private enterprises, public sector organisations present a markedly different context that warrants dedicated investigation.

This mini-track seeks to foster a focused dialogue on digital transformation within the public sector, where institutional goals, accountability structures, resource constraints, and citizen-centric mandates differ significantly from those in the private sector. Public organisations operate under a unique set of pressures—balancing transparency, regulatory compliance, and equity—while often facing legacy infrastructure and resistance to change.

The adoption of emerging technologies—such as AI, blockchain, IoT, and advanced data analytics—offers new opportunities to modernise public service delivery, improve administrative efficiency, and enhance citizen engagement. However, the transformative impact of such technologies must be examined through a public sector lens, where the motivations for adoption, implementation pathways, and evaluation metrics diverge from those in market-driven environments.

We invite theoretical, empirical, and design-oriented papers that explore the challenges, strategies, outcomes, and governance models associated with digital transformation in the public sector. Comparative studies that highlight differences between public and private sector transformation efforts are particularly encouraged, as are papers that address under-researched geographies or organisational levels (e.g., local government, education, healthcare, or defence).

Suggested Topics Include, but Are Not Limited To:

• Adoption and implementation of emerging technologies in public services

• Barriers and enablers to digital transformation in government

• Organisational and cultural challenges unique to the public sector

• Public value creation through digital transformation

• Governance, ethics, and accountability in technology adoption

• Citizen engagement and digital inclusion in public transformation initiatives

• Legacy system modernisation and interoperability challenges

• Comparative studies of digital transformation across public and private sectors

• Policy and regulatory considerations impacting digital change

• Case studies of innovative public sector digital transformation projects

Relevance to AMCIS: This mini-track aligns with the conference’s broader themes by addressing critical issues at the intersection of technology, organisation, and society. By focusing on the public sector, this track contributes to a more holistic understanding of digital transformation across different institutional contexts and encourages research that can inform policy, practice, and theory.

Minitrack Chairs:

Gideon Mekonnen Jonathan, Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden, gideon@dsv.su.se
Dr Deden Witarsyah, Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, BATU PAHAT, Johor, Malaysia, deden@uthm.edu.my

AI Applications in Digital Innovation, Transformation, and Entrepreneurship

Artificial intelligence (AI) has become increasingly ubiquitous in everyday life and across nearly all industry sectors. Beyond automating human tasks such as robotics, image recognition, and virtual agents, AI now augments human decision-making, creativity, and organizational processes. As AI technologies evolve rapidly, they are transforming how organizations innovate, compete, and create value. At the same time, AI also introduces significant challenges related to governance, accountability, and ethics.

This mini-track explores the multifaceted opportunities and challenges associated with AI-enabled digital innovation, transformation, and entrepreneurship. It seeks to advance understanding of how AI can be effectively and responsibly integrated into organizational strategies, structures, and cultures, as well as how its governance can mitigate risks and maximize value creation. We welcome theoretical, empirical, and qualitative studies that examine AI as an enabler, outcome, or context of transformation and innovation.

Call for Papers:

Digital transformation entails socio-technical change that leads to new business models and value propositions (Vial, 2019; Verhoef et al., 2021). Unlike earlier technologies that evolved through understandable iterations (Volkoff et al., 2007), AI represents a continuously shifting frontier (Berente et al., 2024) that redefines how organizations operate, innovate, and govern themselves. This evolution requires continuous adaptation and readiness (Holmström, 2022), especially as AI technologies—such as low-code/no-code systems and emerging practices like vibe coding (Carroll & Maher, 2023)—reshape the dynamics of organizational transformation.

AI influences decision-making, culture, and occupational identities (Davenport, 2018; Faraj et al., 2018), creating new pathways for entrepreneurship and innovation (Yoo, 2010; Nambisan et al., 2017; Murray et al., 2020) while also generating risks and externalities that require thoughtful governance (Chalmers et al., 2020). Understanding how organizations balance AI’s transformative potential with responsible implementation is a pressing challenge for scholars and practitioners alike.

We invite research addressing (but not limited to) the following topics:

• Governance, transparency, and accountability in AI-driven transformation

• AI’s role in reshaping organizational structures, processes, and boundaries

• AI democratization: low-code/no-code systems and new coding practices

• AI and organizational readiness, learning, and adaptation

• AI and evolving organizational cultures and identities

• Creativity, innovation, and entrepreneurship enabled by AI

• Socio-technical and ethical implications of AI adoption

• Temporal and dynamic aspects of AI-enabled transformation

• Theoretical approaches to understanding AI in innovation and transformation

This mini-track encourages multidisciplinary perspectives that integrate technology, management, and human dimensions to better understand and navigate the complex landscape of AI-enabled digital transformation and entrepreneurship.

References:

Carroll, N., & Maher, M. (2023). How Shell Fueled Digital Transformation by Establishing DIY Software Development. MIS Quarterly Executive, 22(2), pp. 99-127.

Davenport, T. H. (2018). The AI advantage: How to put the artiﬁcial intelligence revolution to work. Boston, MA: MIT Press.

Faraj, S., Pachidi, S., & Sayegh, K. (2018). Working and organizing in the age of the learning algorithm. Information and Organization, 28(1), 62–70. https://doi.org/10.1016/j.infoandorg.2018.02.005

Holmström, J. (2022). From AI to digital transformation: The AI readiness framework. Business Horizons, 65(3), 329–339. https://doi.org/10.1016/j.bushor.2021.03.006

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Qi Dong, J., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122(July 2018), 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022

Vial, G. (2019). Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003

Volkoff, O., Strong, D. M., & Elmes, M. B. (2007). Technological Embeddedness and Organizational Change. Organization Science, 18(5), 832–848. https://doi.org/10.1287/orsc.1070.0288

Minitrack Chairs:

Sampath Bemgal, Faculty of Management, University of New Brunswick, Fredericton, New Brunswick, Canada, sampath.bemgal@unb.ca
Noel Carroll, University of Galway, Galway, Galway, Ireland, noel.carroll@universityofgalway.ie
Professor Gurpreet Dhillon, University of Nebraska Omaha, Omaha, Nebraska, United States, gdhillon@unomaha.edu
Franck Loic Soh Noume Neeley, School of Business, Texas Christian University, Fort Worth, Texas, United States, f.l.sohnoume@tcu.edu
Smriti Srivastava, Western Michigan University, Kalamazoo, Michigan, United States, smriti.srivastava@wmich.edu

Digital Sourcing, Platforms, and Ecosystems (SIG DSPE)

Track Chairs:

Maximilian Schreieck, University of Innsbruck, maximilian.schreieck@uibk.ac.at
Julia Kotlarsky, The University of Auckland, j.kotlarsky@auckland.ac.nz
Andreas Hein, University of St. Gallen, andreas.hein@unisg.ch

Track Description:

Digital platforms and emerging technologies are reshaping traditional sourcing. To capture the dynamics and interactions of sourcing and platform phenomena, the Track Digital Sourcing, Platforms, and Ecosystems highlights research that investigates topics relating to digital sourcing, platforms, and ecosystems. These topics include but are not limited to (1) digital sourcing issues, such as sourcing decisions and outcomes, organizing and governing sourcing relationships, collaboration, innovation and knowledge management processes in sourcing relationships, and various sourcing configurations and models, (2) digital platform ecosystems issues, including motivation to partner, governance of platform ecosystems and partnerships, co-innovation and development processes, and outcomes and (3) the impact of technologies such as Artificial Intelligence (AI), Internet of Things (IoT), low-code/no-code platforms, and distributed ledger technologies (DLT) like blockchain on sourcing and platform ecosystems. We welcome studies that examine these topics from multiple perspectives, including client and supplier firms, platform vendors, complementors, and individual actors. All methods and levels of analysis, including individual-, firm-, inter-organizational, and ecosystem-level, are welcome.

Digital Sourcing, Platforms, and Ecosystems (SIG DSPE)

Minitracks:

Digital Sourcing

Call for Papers:

Minitrack Chairs:

Kai Spohrer, Frankfurt School of Finance & Management, Frankfurt, Germany, k.spohrer@fs.de
Thomas Huber, ESSEC, Cergy, France, huber@essec.edu
Ning Su, Ivey Business School, Western University, London, Ontario, Canada, nsu@ivey.ca

Crowdsourcing through Digital Platforms

Crowdsourcing through digital platforms allows large groups to contribute to an overarching goal, typically via virtual communities. Today, anyone globally with basic knowledge or resources has opportunities afforded by digital platforms linking buyers and sponsors with a crowd or community. Inspired by the theme “Intelligent technologies for a better future,” this mini-track explores the high-impact potential of crowdsourcing, the gig-economy, sharing-economy, and platform-economy for economic and social benefit.

Increasing digitization has given rise to new sourcing models leveraging digital platforms to engage the “crowd.” IS researchers have responded by investigating new business models reliant on crowd involvement and mediated by digital platforms – e.g., gig economy models (Wiener et al 2021). This focus on crowdsourcing and digital platforms, “crowdwork platforms” and “microsourcing platforms,” is closely related to the larger IS sourcing phenomenon (Nevo and Kotlarsky, 2020).

Call for Papers:

Crowdsourcing through digital platforms affords large groups of people to contribute to an overarching goal, usually via virtual communities. Today anyone in the world with basic knowledge or resources has work opportunities afforded by digital platforms which link buyers and sponsors with a crowd or community. Inspired by the conference theme of “Intelligent technologies for a better future”, this mini-track aims to investigate the high-impact potential of crowdsourcing, the gig-economy, sharing-economy, and platform-economy for economic and social benefit.

Increasing digitization and digitalization has also given rise to new sourcing models that leverage digital platforms to engage the “crowd.” IS researchers have responded to these developments by investigating new business models that rely on crowd involvement and are mediated by digital platforms – e.g., business models associated with gig economy (Wiener et al 2021). This focus on crowdsourcing and digital platforms, “crowdwork platforms” and “microsourcing platforms” is closely related to the larger phenomenon of IS sourcing (Nevo and Kotlarsky, 2020).

*Potential Topics*

Topics of research include, but are not limited to, the following:

* How crowdworkers use AI including Large Language Models and Generative AI

* Better crowdsourcing methods and models

* Algorithmic Management

* Cooperative Platforms (Co-op)

* Human and community factors

* Crowdsourcing markets and economic models

* Collaboration among and between individuals of the crowd

* Labor and work organization within virtual crowdsourcing communities

* Social and political impact case studies

* Impact sourcing through crowdsourcing (benefits for marginalized populations)

* Platform policies and practices for social benefit

* Standards for Decent Work (UN Sustainable Development Goal)

* Government policies and practices

* Multi-sourcing in a crowd-work and sharing-economy context

* Challenges and opportunities of crowd-work in middle and low-income countries

* Incorporating crowd-work into business processes

Minitrack Chairs:

Timothy Olsen, Gonzaga University, Spokane, Washington, United States, olsent@gonzaga.edu
Joseph Taylor, College of Business Administration, California State University, Sacramento, Sacramento, California, United States, joseph.taylor@csus.edu

Platform Ecosystems in Business-to-Business Domains

Value creation in many industries has been shifted or severely impacted by digital platforms. Unlike traditional enterprise software, platforms provide interoperable digital infrastructure to connect multiple organizations, transforming rigid supply chains into dynamic platform-based ecosystems. Previous findings show that platforms in business-to-business (B2B) domains differ from those for consumers. This mini-track aims to attract submissions that explore the intricacies of transforming industrial incumbents towards platform-centric organizations. Relevant questions are (but not limited to): What architectural and governance patterns lead to success in B2B platforms? How do platform ecosystem phenomena, such as multihoming or envelopment, manifest in B2B platforms? What are the contingent factors favoring strategic decisions on “build-your-own-platform” and join? How do digital platforms influence trust and business relationships in B2B? What does it take for platform organizations to navigate ecosystem tensions between enterprises? How can internal data- and AI-driven value creation benefit from platform technologies and ecosystem resources?

Minitrack Chairs:

Dr. rer. pol. Dimitri Petrik, University of Stuttgart, Stuttgart, Germany, dimitri.petrik@bwi.uni-stuttgart.de
Dr. Yevgen Bogodistov, Business Administration Online Department, Management Center Innsbruck, Innsbruck, Tirol, Austria, yevgen.bogodistov@mci.edu
Marc Brechtel, University of Potsdam, Potsdam, Germany, marc.brechtel@uni-potsdam.de

Generative and Agentic AI in Digital Platforms and Ecosystems

Generative and agentic AI are transforming how digital platforms and ecosystems are designed, governed, and evolved. This mini-track welcomes conceptual, empirical (qualitative, quantitative, or simulation-based), and design-oriented studies that investigate how these AI technologies reshape platform business model, architecture, orchestration, value co-creation, and the evolutionary trajectories of platforms.

We invite research exploring the implications of adopting and implementing generative and agentic AI for platform owners, complementors, and users, and addressing emerging challenges and opportunities such as automation, control, trust, and ecosystem boundaries.

The mini-track aims to foster robust dialogue and build a research community dedicated to understanding and theorizing how generative and agentic AI are redefining the future of digital platforms and ecosystems.

Call for Papers:

Generative and agentic AI are reshaping the foundations of digital platforms and ecosystems by transforming how they are designed, governed, and orchestrated. These technologies are not only introducing new forms of intelligence, autonomy, and creativity but also redefining roles, control mechanisms, and value co-creation processes among platform owners, complementors, and users.

This mini-track seeks to advance our understanding of how generative and agentic AI affect the architecture, governance, and dynamics of digital platforms and ecosystems. We invite scholars to submit conceptual, empirical (qualitative, quantitative, or simulation-based), and design-oriented studies focusing on topics including (but not limited to):

– How generative and agentic AI transform platform architecture, design, and orchestration

– New forms of value co-creation and coordination enabled by AI agents

– Governance challenges and opportunities related to platform orchestration

– Role of AI in shaping platform evolution trajectories

– Trust, transparency, privacy, and ethical considerations in AI-enabled platform ecosystems

– Impact of AI on ecosystem boundaries, complementor participation, and user engagement

– Evolution of platform dynamics that are driven by generative and agentic AI

We particularly welcome submissions that theorize and empirically examine the implications of generative and agentic AI for the future of digital platforms and ecosystems. Our goal is to build a vibrant scholarly community exploring how these emerging AI paradigms are redefining digital ecosystems, both as technical and organizational phenomena.

Minitrack Chairs:

Kazem Haki, Geneva School of Business Administration, Geneva, Geneva, Switzerland, kazem.haki@hesge.ch
Onkar Malgonde, North Carolina State University, Raleigh, North Carolina, United States, osmalgon@ncsu.edu

Enterprise-Level Information Systems Research (SIG ENTSYS)

Track Chairs:

Benedict Bender, University of Potsdam, benedict.bender@uni-potsdam.de
Renée Pratt, ITS JustRenee, LLC, renee.pratt@rprattphd.com
Marcus Grum, University of Potsdam, marcus.grum@wi.uni-potsdam.de

Track Description:

Information systems (IS), specifically enterprise systems (ES), have allowed companies to integrate enterprises’ operations throughout. The integration scope of ES has been expanding and now often includes customer activities, activities along supply chains, and platform ecosystems. Over the past two decades not only technological innovations, but also managerial/ organizational innovations have not only extended the affordances of enterprise solutions, but also challenged traditional approaches to their design and coordination. With the changing needs of corporate strategy and the business environment, ES must continuously evolve towards enterprise-level IS.

Unlike many other classes of IS, enterprise-level IS are comprised of various artefact types, due to their requirements for integration and alignment as well as their complex nature. The enterprise level also implies that diverse stakeholders and stakeholder perspectives need to be considered, across business and IT boundaries, across corporate functions, and often even across legal entities. The complexities of enterprise-level IS are not only embodied in their number of components and the interdependencies between these components, but also in the resulting dynamics and emergence over time. The challenge to integrate technological innovations and adapt business processes within enterprise-level IS continues. IS are continually enhanced with technology innovations, leading to challenges with adopting these changes on an enterprise- and ecosystem level. Because of both their complexity and their integrated nature, enterprise-level IS are difficult to implement, and are associated with a variety of organizational changes.

As such, this track seeks to explore current issues, both from an academic and practical perspective, surrounding the evolution of the integrated IS – all themes related to information systems’ internal and external integration. This spans topics such as strategic, operations, social, project and process management, supply chain, and absorbing a wide range of emerging technologies into the core of IS as well as platform approaches of IS.

Enterprise-level Information Systems (SIG ENTSYS)

Mini-Tracks:

Artificial Intelligence in Enterprise-Level Information Systems: Avenues for Leveraging AI and its Management Context

Many AI-based components (e.g., LLMs, ANNs, LSTMs, Hopfield Nets and Boltzmann Machines) are being integrated into enterprise-level information systems, organizations, and everyday work. Such systems are constantly evolving to take on tasks with a larger organizational scale, a combination of various techniques, complex dynamics, emergence over time, as well as the interdependencies between these components spanning customers, organizations, and various enterprise levels. However, it is unclear how various AI-based components and applications can be integrated, managed and aligned with the requirements of multiple stakeholder perspectives. Among furthers, we find sustainability and reliability aspects to rely on an AI affecting energy consumption and CO2 footprint as well as responsibility and AI standardization. But what definitional aspects must a sustainable and reliable AI fulfill and how to transform and manage AI so that their involvement in Enterprise-Level Information Systems is justified?

Call for Papers:

The mini-track welcomes contributions from design-science, empirical, action, or case-study research that provide insights on how to methodologically design, implement, integrate, align, and manage AI-based components in complex scenarios described.

Minitrack Chairs:

Marcel Rojahn, University of Potsdam, Potsdam, Germany, marcel.rojahn@uni-potsdam.de

Enterprise Systems for Circular Supply Chains

Information Systems (IS) research has increasingly emphasized the need to look beyond the organizational boundary and address complex, high-impact societal challenges. The transition to a circular economy (CE) represents one such challenge and opportunity, where enterprise systems play a pivotal role in enabling circular sense-making and action. Traditional open-loop supply chains, grounded in the assumption of limitless natural resources, have proven unsustainable. In contrast, the CE paradigm seeks to redesign supply chains to emulate the regenerative dynamics of natural systems. This minitrack invites research exploring how enterprise systems support, enable, and transform circular supply chains—through the development, management, and application of circular intelligence (e.g., Product Footprint Management, Material Lifecycle Analytics, etc.). We welcome diverse methodological approaches, including qualitative, quantitative, mixed-method, empirical-deductive, and design science studies.

Possible topics:

Digital architectures for circular value chains
Enterprise systems for resource recovery and remanufacturing
Integration of lifecycle performance analytics in circular ecosystems

Call for Papers:

This minitrack explores how enterprise systems (e.g., ERP, SCM, PLM, and EAM) enable the design, coordination, and governance of circular supply chains. We invite research examining how digital infrastructures and integrated data architectures facilitate circularity through capabilities such as product footprint management and lifecycle analytics, closed-loop supply network orchestration, and asset/resource circularity enabled by predictive maintenance and recovery planning. Contributions may address system design, implementation, data integration, organizational transformation, or policy implications of enterprise technologies supporting the circular economy. We welcome diverse methodological perspectives—quantitative, qualitative, mixed-method, design science, or conceptual—that advance theory and practice on how enterprise systems foster circular intelligence, transparency, and sustainability across supply networks.

This minitrack aims to foster a community of scholars who address the technological and managerial foundations of circular supply chain transformation.

Minitrack Chairs:

Axel Winkelmann, University of Würzburg, Würzburg, Germany, ulvi.ibrahimli@uni-wuerzburg.de
Ulvi Ibrahimli, University of Würzburg, Würzburg, Germany, ulvi.ibrahimli@uni-wuerzburg.de

Architecture of Enterprise Systems: Integration and Transformation Challenges

Enterprise Systems play a key role in aligning business processes, organizational structures, and technological infrastructures. This mini-track explores Enterprise System Architecture (ESA) as the connecting layer between business design and technological realization.

We invite research on how architectural paradigms – such as Event-Driven Architecture (EDA) or microservice-based designs – enable flexibility, integration, and process coherence in complex enterprise environments. We also welcome studies on Enterprise Architecture Management (EAM) as a governance mechanism linking strategic, organizational, and technical layers.

The goal is to advance understanding of how ESA balances adaptability and standardization, fosters knowledge sharing, and supports sustainable enterprise transformation.

Topics include:

– Business–IT alignment in ESA

– Adaptability and sustainability in ESA

– Knowledge generation and distribution in ESA

– Gamification in ESA alignment

– EAM as a governance mechanism

– Integration and interoperability across distributed landscapes

– Evaluation of architectural adaptability and sustainability

– DLT for trusted enterprise integration

Call for Papers:

Enterprise System Architectures (ESA) form the backbone of modern organizations but are increasingly challenged by fragmented processes, heterogeneous technologies, and rapid digital transformation. To remain effective, ESA must not only scale technically but also align structurally and functionally with evolving business needs.

This mini-track focuses on ESA as the central layer connecting business design and technological implementation. We invite conceptual, design-oriented, and empirical studies that examine how architectural paradigms – such as Event-Driven Architecture (EDA), Service-Oriented Architecture (SOA), microservice-based architectures, layered/N-tier architectures, hexagonal designs, or pipe-and-filter compositions – support integration, agility, and process coherence across organizational boundaries.

We equally welcome research on Enterprise Architecture Management (EAM) and related practices – architectural principles, standards, and artifacts – as governance mechanisms that coordinate architectural design decisions and ensure effective Business-IT alignment.

A key question concerns how architectural decisions influence organizational adaptability, knowledge flow, and coherence. We particularly encourage studies linking architecture governance, process orientation, and system modularity to improve strategic agility, interoperability, and long-term sustainability. Emerging perspectives such as knowledge generation and distribution within ESA, or gamification approaches that foster engagement in alignment processes, are also of interest.

Contributions may explore frameworks, models, or methods for managing and evaluating ESA; approaches to modernization and migration (e.g. from monolithic to service-based or event-driven systems); and mechanisms for integrating emerging technologies – such as Distributed Ledger Technologies (DLT) – to enhance trust and transparency in distributed environments.

By connecting managerial and technical perspectives, this mini-track aims to advance understanding of how Enterprise System Architectures can serve as multi-level coordination mechanisms connecting strategic intent, process execution, and technological realization.

Topics of interest include, but are not limited to:

– Business–IT alignment in ESA

– Adaptability and sustainability in ESA

– Knowledge generation and distribution in ESA

– Gamification in ESA alignment

– Process-driven architectural design and service decomposition

– EAM as a governance and coordination mechanism

– Microservices migration and enterprise system modernization

– Integration and interoperability across distributed enterprise landscapes

– Roles and collaboration of IT, enterprise, and solution architects

– Evaluation of architectural adaptability, coherence, and sustainability

– DLT as an enabler of trusted enterprise integration

Minitrack Chairs:

Norbert Gronau, Chair for Processes and Systems, University of Potsdam, Potsdam, Germany, jasmin.fattah-weil@wi.uni-potsdam.de
Jasmin Fattah-Weil, Chair of Business Informatics, esp. Processes and Systems, University of Potsdam, Potsdam, Germany, jasmin.fattah-weil@wi.uni-potsdam.de
Adrian Abendroth, Chair of Business Informatics, esp. Processes and Systems, University of Potsdam, Potsdam, Germany, abendroth@uni-potsdam.de

Enterprise Systems – Managerial and Technological Perspectives

Enterprise systems (ES) are complex software packages designed to integrate the flow of information throughout an organization. Over time, ES have expanded to cover many areas of an organization’s operations and have been extended beyond organizational boundaries to support inter-organizational activities. Although there have been many efforts to consolidate systems in the past, current developments result in quite heterogeneous software landscapes consisting of different system types and components. With the availability of powerful end-user tools and emerging disruptive technologies (such as cloud computing, financial technologies (FinTech), Internet of Things (IoT), and service-oriented architecture (SOA)), managing these landscapes, especially at the enterprise level, becomes even more challenging.

This minitrack aims to discuss different characteristics of ES transformation in the light of digital disruption and the resulting integration challenges caused by new/disruptive technologies. Therefore, we invite papers (empirical and theoretical) that address these issues from a technological, organizational or managerial perspective.

Call for Papers:

Due to the rapid changes in the economic environment, enterprises face numerous external and internal challenges that require effective governance and coordination of internal but also intercorporate business processes. Therefore, the successful implementation, adoption, integration and use of suitable software systems are essential to meet these challenges. These systems have to be easily adjustable to allow fast reactions to continuous business changes as well as to new disruptive technologies that emerge within digitization processes. Consequently, there is a huge demand for adaptable enterprise software. This especially applies to Enterprise Resource Planning (ERP) systems as fully integrated and comprehensive solutions for supporting business and digitalization processes on a company-wide level. However, a tendency towards more architectural flexibility regarding enterprise systems and also a certain rejection of highly integrated approaches can be observed. Today, enterprises increasingly aim to support individual business areas with separate area- or task-specific systems. This results, despite past efforts towards system consolidation, in heterogeneous and complex software landscapes consisting of different software system types and components (e.g., CRM, SRM, SCM or function-oriented components like machine learning systems or large-scale databases) with challenging integration requirements. With powerful end-user tools and emerging disrupting technologies (cloud computing, financial technologies (FinTech), Internet of Things (IoT), and service-oriented architecture (SOA)) at hand, managing these landscapes, especially on an enterprise-wide level becomes even more demanding.

However, benefitting from these chances and new technologies calls for new management and integration approaches with an enterprise-wide focus. Despite the experience of several decades, implementation, adjustment, or integration projects at the company-level still heavily strain the entire company and its resources as they imply severe intrusions into the enterprises´ structures and processes. Thus, a comprehensive and well-designed project management, embedded in long-term (digital) transformation approaches, is still an essential component of any significant change in the enterprise system landscape.

This minitrack aims to discuss various facets and characteristics of enterprise system transformation in the light of digital disruption and the resulting integration challenges caused by new technologies such as cloud computing, IoT or FinTech. Therefore, we invite papers (empirical and theoretical) that examine those topics from technological, organizational or managerial perspectives.

Potential paper topics (but not limited to):

– Enterprise systems and business processes supported by cloud computing

– Blockchain-based financial (FinTech) and trust services integrated within enterprise systems

– Enterprise systems and internet of things (IoT) services

– Issues around ERP on demand, ERP‐as‐a‐service, ERP in the cloud, Mobile ERP

– Management of the software development process during an enterprise system implementation in a cloud environment

– Enterprise infrastructure shifts due to digital disruption

– Critical success and failure factors, risk management in enterprise system implementation and integration projects

– Cross‐company integration of enterprise systems

– Effects of technological innovations (such as in memory computing)

– Benefits, Barriers, Costs of FinTech /SOA / cloud technology

– ERP and/or FinTech / SOA / Cloud case studies

– Organizational, political, and cultural barriers related with ERP/ Fin Tech/ SOA/ cloud computing adoption

– New project or IT management approaches in the context of enterprise system landscapes (i.e. Lean IT management)

Minitrack Chairs:

Christian Leyh, THM Business School, Technische Hochschule Mittelhessen (THM) – University of Applied Sciences, Gießen, Germany, christian.leyh@w.thm.de
Thomas Schäffer, Heilbronn University of Applied Sciences, Heilbronn, Germany, thomas.schaeffer@ext.hs-heilbronn.de
Paul Rozbitski, THM Business School, Technische Hochschule Mittelhessen – University of Applied Sciences, Giessen, Germany, paul.rozbitski@w.thm.de

Envisioning and Designing Intelligent Technologies for A Better Future (SIG SAND)

Track Chairs:

Jon W. Beard, Iowa State University, jwbeard@iastate.edu (Primary Contact)
Araz Jabbari, Université Laval, araz.jabbari@fsa.ulaval.ca

Track Description:

SAND (Systems Analysis and Design) remains of central importance to the Information Systems discipline, including understanding how businesses can create value with new digital technologies and methods for analyzing, designing, developing, and implementing solutions. In recent years information technologies have become a part of our everyday lives at both the personal and professional levels. Our organizations are being transformed as technologies become increasingly prevalent and embedded in our workplaces, homes, vehicles, and personal devices and spaces. And the emergence of AI has provided new opportunities, and need, for improved systems design, implementation, and integration. How and where we work is rapidly evolving through virtual connections, real-time or asynchronous interactions, as well as traditional work configurations. And the individual effects of these evolving IT capabilities hold the promise of positive impacts while also acknowledging the potential negative effects of social media, the demands for our attention and reaction(s), and the always-online capabilities and expectations. The SAND track provides a forum for discussing research related to systems development tools, methodologies, and other activities in systems development. SAND can help us envision and design the future.

Envisioning and Designing Intelligent Technologies for a Better Future (SIG SAND)

Potential Minitracks:

Systems Analysis for AI Systems Development
Designing for Intelligence: AI Systems for Discovery and Decision-Making
Ethics, Impact, and Accountability in an Era of Intelligent Systems
Human-Centered Design in a Connected, Intelligent World
Systems Thinking for a Digital Future
From Requirements to Deployment: Bridging Systems Analysis and Implementation
Designing Adaptive Systems for Change, Complexity, and Scale

Game Design and Research for Business and Society (SIG GAME)

Track Chairs:

Abhishek Behl, Keele Business School, a.behl@keele.ac.uk
Marc Schmalz, Boise State University, marcschmalz@boisestate.edu

Track Description:

As information management in businesses becomes complex and new forms of data and information get generated from various sources, games, game-based learning, and gamification are transforming work and play. The track aims to attract research papers that use games (be it tabletop games, video games, game systems, or game-related hardware such as virtual reality gear) as a literature, methodology, process, or solution for business problems that stem from data and information and have implications in any discipline. As businesses move towards gamifying work and social interaction and businesses gradually adopt and adapt to gaming as an alternate medium of revenue and engagement, the track invites researchers to investigate how games and gamification help firms grow and expand their business. Games and game-based interventions have also been the focus of behavioral studies; therefore, the track also welcomes submissions that contribute to understanding human psychology and behavior within information systems. Lastly, the track also invites submissions regarding the ways in which organizations balance ethics, morality, fun, learning, entertainment, and emotions. From a designer’s and developer’s viewpoint, a significant gap exists between what is designed and what is perceived when using gamified offerings for businesses and society. The submissions would also help understand how games and game-based solutions can help society solve the grand challenges and societal reforms. The track would also promote debate on how game and game based interventions would create new information and datasets that would help businesses and practitioners to expand their offerings by adding a layer of fun and play.

Game Design and Research (SIG GAME)

Mini-Tracks:

Gamification and Strategic Information Management

The Mini track investigates how game design principles—such as meaningful rewards, compelling narratives, timely feedback, and social collaboration—can improve organizational information quality, access, and governance. Today’s strategic information management is about establishing a data culture that empowers ethical decisions. Gamification provides a framework in which these behaviors can be developed without diminishing trust or integrity. The mini track bring researchers and practitioners to share their experiences, investigates ethical concerns and discuss how manipulation, fatigue, or automation are linked with gamified strategic information systems, thereby making sure gamified solutions uphold user autonomy while achieving improvements in information governance and strategic decision support that can be measured. Themes coverd:

1. Gamified data literacy and dashboards

2. Risk, compliance, and policy adherence through interactive simulations

3. Data stewardship communities: collaboration, badges, and knowledge sharing

4. Ethical design and governance

5. Metrics, ROI, and evaluations for gamified SIM

6. Gamification and Management Information Systems

Call for Papers:

Gamification has emerged as a strategic management tool that provides problem-solving approaches and acts as potent catalyst for strategically aligning human behavior with an organization’s strategic objectives, but its core benefits accrue primarily from the remaking of information practices. Gamification is the application of different gaming techniques and game design, in non-game environments that helps in solving different business problems. Gamification uses game design to improve user relationships, team management, hiring processes, training & development, crowdsourcing etc. The Mini track investigates how game design principles—such as meaningful rewards, compelling narratives, timely feedback, and social collaboration—can improve organizational information quality, access, and governance. In addition to advanced analytics and robust systems, today’s strategic information management is also about establishing a data culture that is responsible, data-literate, and empowers ethical decisions. Gamification provides a framework in which these behaviors can be developed without diminishing trust or integrity. Bringing together researchers and practitioners to share experiences, the track explores practical design patterns, governance considerations, and real-world outcomes in which gamified interventions have improved data capture, quality, user engagement, and strategic insight. The mini track also investigates ethical concerns and discuss how manipulation, fatigue, or automation are linked with gamified strategic information systems, thereby making sure gamified solutions uphold user autonomy while achieving improvements in information governance and strategic decision support that can be measured. This mini track invites CIOs, information officers, data scientists, UX designers, and researchers to reimagine how motivation design can drive robust, ethical, and scalable information strategies.

Indicative topics for submission

1. Gamified data literacy and dashboards: boosting comprehension and adoption

2. How can gamification strategies help increasing customer engagement?

3. How gamification can be used as a strategic tool in business management?

4. Risk, compliance, and policy adherence through interactive simulations

5. Data stewardship communities: collaboration, badges, and knowledge sharing

6. Ethical design and governance: avoiding manipulation and user fatigue

7. Metrics, ROI, and evaluation frameworks for gamified SIM

8. Prototyping and hands-on toolkit: building a gamified SIM initiative

9. Gamification and Management Information Systems

10. Identify opportunities of gamification research for IS

11. Identify challenges, pitfalls and mitigation strategies

12. How Gamification can be integrated into teaching & training for higher engagement

Minitrack Chairs:

Prof Ramesh Behl, Management, International Management Institute, New Delhi, Delhi, India, rbehl@imi.edu

Gamification, People Management and the Future of Work

This mini-track explores how game mechanics and playful design are reshaping people management and the future of work. We welcome studies on gamified hiring, onboarding, learning, performance management, well-being and engagement; serious games and simulations, digital badges and reward systems and platform-mediated or hybrid work. We are especially interested in design principles, behavioural outcomes, ethics and fairness, inclusion and unintended consequences (e.g., dark patterns, burnout). Submissions may employ quantitative, qualitative, experimental and conceptual design methods. We also invite work that connects gamification with AI, analytics and HR technologies, as well as policy or governance implications. The mini-track aims to advance theory and practice by showcasing rigorous evidence, actionable frameworks and responsible design guidelines for future-ready workplaces.

Call for Papers:

Gamification has moved from consumer products into the plumbing of people management, i.e., recruitment, onboarding, learning, performance and well-being. Organisations are experimenting with points, badges, leaderboards, quests and narrative design to energize participation and make progress visible. Done well, these mechanics can structure feedback, create momentum and strengthen role clarity, done poorly, they can invite performative behaviour, surveillance and fatigue. The central question is not whether games “work,” but what specific design choices do in particular contexts and for whom.

Research already gives us useful anchors. Gamified initiatives can lift engagement when employees have consent and meaningful autonomy, when play feels coerced, effects fade or backfire (Mollick & Rothbard, 2014). Visibility through dashboards or leaderboards can accelerate learning while also triggering conformity and gaming, a tension captured in the transparency paradox (Bernstein, 2012). As algorithms allocate tasks, evaluate effort and route rewards, control migrates from supervisors to systems, reshaping discretion and accountability (Kellogg, Valentine, & Christin, 2020). These shifts sit within broader changes in organising that blend markets, communities and hierarchies, often through digital platforms (Puranam, Alexy & Reitzig, 2014).

Symbolic recognition and status cues can mobilize sustained contributions even when material rewards are small, suggesting badges and tiers do more than decorate they signal belonging and competence (Gallus, 2017). Yet the same cues, if overused or poorly targeted, can crowd out intrinsic motivation or amplify unhealthy competition. Information systems scholarship warns that intensification, technostress and dark patterns can follow from always-on metrics and streaks (Tarafdar, Maier, Laumer & Weitzel, 2019). Design must therefore balance immediacy with recovery, visibility with privacy, and competition with cooperation.

Context also matters. Hybrid and platform-mediated work increase the salience of digital affordances, how tools constrain and enable behavior and the “fit” between routines and technology (Leonardi, 2011). A leaderboard that helps a co-located sales team may alienate a distributed service team. Likewise, the same quest mechanic can build community in onboarding yet fragment attention in deep-work settings. The most useful studies will connect artifact features to psychological processes (motivation, flow, habit formation) and then to unit-level outcomes (learning, retention, culture), tracing boundary conditions by job type, demographics and power. Last but not the least, governance is not an afterthought. Data from gamified tools feed performance conversations, pay and mobility decisions. That raises questions about validity, bias, transparency, and appeals. Effective programs make design choices legible, create opt-outs or alternatives, and monitor for uneven effects across groups. We welcome work that turns empirical findings into guidance leaders can act on what to measure, how to calibrate difficulty, where to place cooperative mechanics, how to phase recognition, and when to turn things off. In short, the mini-track seeks evidence-based, design-literate scholarship that helps organizations build motivating, fair and sustainable people systems.

Tentative topics (non-exhaustive)

• Gamified recruitment, assessments, onboarding and learning pathways

• Digital nomads and cross-border teams: compliance, culture and cohesion

• Job redesign and automation: reskilling, job crafting and career pathways

• Hybrid/platform work, algorithmic management and worker autonomy

• Inclusion and accessibility in game mechanics.

• Ethics, privacy, dark patterns and governance of gamified systems

• Links to AI copilots, nudges, analytics dashboards and digital twins

• Organizational outcomes: performance, well-being, retention, culture, unintended harms

• Field deployments and evaluations of design-science artifacts

• Multi-level models connecting individual behaviour to team and firm outcomes

• Expatriate and multicultural teams: gamified onboarding and cross-cultural learning

• Employee engagement and well-being – streaks, quests and recovery time

• Manager capability – using feedback loops and nudges to coach fairly

• Learning and development – micro-learning, simulations, VR/AR practice labs

• People analytics: measuring impact without surveillance or creepiness

• Mixed-methods studies linking user experience to team and firm outcomes

References

Bernstein, E. S. (2012). The transparency paradox: A role for privacy in organizational learning and operational control. Administrative Science Quarterly, 57(2), 181–216.

Gallus, J. (2017). Fostering public good contributions with symbolic awards: A large-scale natural field experiment at Wikipedia. Management Science, 63(12), 3999–4015.

Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms at work: The new contested terrain of control. Academy of Management Annals, 14(1), 366–410.

Leonardi, P. M. (2011). When flexible routines meet flexible technologies: Affordance, constraint, and the imbrication of human and material agencies. Organization Science, 22(2), 423–444.

Mollick, E. R., & Rothbard, N. (2014). Mandatory fun: Consent, gamification and the impact of games at work. The Wharton School research paper series.

Puranam, P., Alexy, O., & Reitzig, M. (2014). What’s “new” about new forms of organizing? Academy of Management Review, 39(2), 162–180.

Tarafdar, M., Gupta, A., & Turel, O. (2013). The dark side of information technology use. Information Systems Journal, 23(3), 269-275.

Minitrack Chairs:

Dr Yusuf Hassan, Edinburgh Business School, Heriot Watt University , Dubai, Dubai, United Arab Emirates, yh4002@hw.ac.uk Centre for Sports & Business, Stockholm School of Economics, Stockholm, Sweden, f17yusufh@iimidr.ac.in
Dr Jayesh Pandey, Organizational Behaviour and Human Resource Management, Institute of Rural Management Anand, Anand, India, jayeshp@irma.ac.in
Samuel Fosso Wamba, Information, Opérations et Sciences de la Décision, Toulouse Business School, Touloue, France, s.fosso-wamba@tbs-education.fr
Dr Swati Garg, Business School, Keele Business School, Keele, United Kingdom, s.garg@keele.ac.uk

Behavioral Insights and Psychology using Game/Gamified Information Systems

We invite original research exploring the intersection of behavioral psychology and gamified information systems. As gamification increasingly shapes user engagement across digital platforms, understanding the underlying psychological mechanisms becomes critical for designing effective, ethical systems.

We welcome empirical studies and theoretical frameworks that examine cognitive, emotional, and behavioral processes that drive user engagement and response.Topics include but are not limited to – behavioral intention-action gap in gamified systems, ethical boundaries between persuasion and manipulation, behavioral contagion of gamification system in non-gamified contexts, social comparison anxiety and competitive stress in leaderboard-driven environments, how prolonged gamification exposure reshapes attention, decision-making and reward processing

We especially encourage interdisciplinary research that connects information systems, psychology, behavioral economics, and game studies. Submissions should strengthen theoretical understanding of the psychological mechanisms driving gamification, such as motivation, cognition and decision-making. We also welcome research that applies these insights to practice, offering evidence-based frameworks for engagement design.

Call for Papers:

As organizations increasingly use gamified systems to engage employees, educational platforms embed game mechanics to enhance learning, and consumer applications apply psychological triggers to influence behavior, the implications of gamification continues to expand across domains. Understanding its psychological foundations has therefore become essential for designing systems that are both effective and ethical.

We invite submissions that explore how psychological mechanisms drive engagement and behavioral outcomes in gamified information systems. We seek contributions that deepen understanding of the cognitive, emotional and behavioral processes underlying gamification effectiveness. Submissions should also promote evidence-based design practices across organizational and consumer contexts.We welcome research on the design, implementation, and psychological impact of gamified solutions, as well as innovative theoretical frameworks from psychology and behavioral science. Such work should offer insights into how these perspectives inform system design. In addition, \we encourage methodological innovations that improve our ability to measure and interpret psychological responses to gamification.

We are open to different methodological approaches and interdisciplinary submissions from fields such as IS, HCI, psychology, behavioral economics, sociology and management.

Potential topics for submissions include, but are not limited to

– The intention–action gap in gamified systems and its behavioral implications

– Ethical boundaries between persuasion and manipulation in gamification design

– How gamified behaviors influence actions in non-gamified contexts through behavioral spillover and contagion

– Social comparison and competitive stress from leaderboards, rankings ,comparative performance metrics and their effects on well-being

– Long-term impacts of gamification on attention, decision-making and reward processing

– The influence of personality traits and individual differences on users’ psychological responses to gamification

– Psychological ownership and identity formation through avatars, achievements and virtual possessions in gamified environment

-Cognitive load and attention management in environments with multiple overlapping gamified platforms

-Development of new theoretical frameworks for explaining psychological mechanisms in gamification

-Innovative methodologies for assessing implicit emotions, unconscious behaviors and other unexplored psychological effects of gamified systems.

Contributions that explore novel psychological theories, combine multiple methodologies, challenge existing paradigms or propose innovative frameworks bridging disciplines and information systems practice are particularly welcome.

Minitrack Chairs:

Kokil Jain, Marketing, Fortune Institute of International Business, New Delhi, Delhi, India, koki.jain@fiib.edu.in
Tathagata Ghosh, Marketing, TAPMI, Manipal University, Manipal, India, tathagata.ghosh@manipal.edu
Dr. Sakshi Kathuria, Fortune Institute of International Business, New Delhi, India, sakshi.kathuria@fiib.edu.in
Dr. Farhan Mustafa, School of Management, Shiv Nadar University, Greater Noida, India, farhan.mustafa@snu.edu.in

Generative and Agentic AI In Information and Service Systems (SIG SVC)

Track Chairs:

Gero Strobel, University Duisburg-Essen, gero.strobel@uni-due.de
Daniel Heinz, Karlsruhe Institute of Technology, daniel.heinz@kit.edu
Mahei Manhai Li, University of Kassel and University of St. Gallen, mahei.li@unisg.ch

Track Description:

Recent advances in artificial intelligence (AI) have introduced new paradigms in machine processing, transitioning from data-focused, discriminative AI tasks to more complex and creative endeavors through generative AI (GenAI). Leveraging these innovations, GenAI now possesses the ability to create unique, realistic, contextually appropriate content that is almost indistinguishable from human-generated material. Based on that, this new paradigm information systems (IS) have increasingly evolved from passive tools into autonomous entities that can learn, adapt content, interact, and act independently. This shift in agency from humans to agentic IS artefacts (e.g., Conversational Agents, LLMs) forms the foundation for the next generation of IS artifacts, opening a wide range of possibilities for research as well as the reevaluation of existing concepts.

In this context, the AIS SIG Service track offers a forum for all researchers interested in shaping the next generation of information and service systems. We particularly welcome submissions at the individual, organizational, and societal levels in the context of designing and developing generative AI or agentic IS artifacts, including new design methodologies, conceptualizations, tools, as well as research on the behavioral implications of this paradigm. As current research on generative AI and agentic IS is conducted across disciplinary boundaries, there is a need to establish common ground and advance this research stream. This track aims to bring together and foster discussions among scholars as well as practitioners alike who are working on various aspects of the phenomenon.

Services (SIG SVS)

Minitracks:

Towards Embodied Generative AI: New Paradigms of Interaction, Collaboration, and Value Creation

AI systems without embodiment lack situated perception and action, while avatars without intelligence provide only scripted presence. Embodied GenAI (e.g., robots, drones or avatars) bridges this gap by combining contextual reasoning with real-time interaction in physical or digital environments. This enables novel solutions to persistent challenges: for instance, in healthcare, embodied agents can monitor and dynamically assist patients during exercises, demonstrating movements or providing physical assistance, fostering more natural engagement than text-based systems or static avatars allow.

Such agents can be perceived simultaneously as tools that augment human work and as colleague-like entities collaborating through speech, gestures, and expressions. In service systems, manufacturing, or healthcare, they promise to reshape collaboration, enhance value co-creation, and transform user experiences.

At the same time, their integration raises pressing questions on design, ethics, trust, and feasibility. We invite conceptual, empirical, design-oriented contributions addressing new use cases, collaboration paradigms, societal challenges, and systemic value.

Call for Papers:

Generative AI systems are increasingly capable of producing context-aware, multimodal output, yet without embodiment they lack situated perception and the ability to act in the world. Similarly, avatars without intelligence offer only scripted presence. Embodied Generative AI (GenAI) bridges this gap by giving generative models a body, which enables perception, reasoning, and interaction that extend beyond text and audio.
Embodiment can take both digital and physical forms.

In digital embodiment, generative AI is represented through avatars that convey social presence through a visual and often dynamic representation of a body, torso, or face. These avatars enrich interaction through gestures, gaze, and facial expressions, creating more natural communication channels. They may appear in two-dimensional or three-dimensional environments, on screens, or within immersive AR/VR contexts, where they can act as mediators, collaborators, or co-creators.

Physical embodiment brings generative intelligence into the material world through humanoid or animal-like robots, drones, vehicles, or functional robotic systems such as vacuum cleaners or industrial arms. In this form, embodiment allows GenAI to perceive and reason about its environment while also being able to move, manipulate, and shape it. This creates a new class of agents that can interact with humans and surroundings in real time.

Such embodied agents can be perceived both as tools that augment human work and as colleague-like entities that collaborate through speech, movement, and expression. Across domains such as healthcare, manufacturing, and service systems, they promise to reshape collaboration, enhance value co-creation, and transform user experiences by merging intelligence, embodiment, and interaction.

At the same time, the integration of embodied GenAI raises pressing questions related to design, ethics, trust, accountability, and feasibility. We invite conceptual, empirical, and design-oriented contributions that explore:
• novel use cases and application domains of embodied GenAI
• new paradigms of human–AI collaboration
• societal and ethical challenges
• systemic value creation enabled by embodied intelligence

Minitrack Chairs:

Jan Laufer, University of Duisburg-Essen, Essen, Germany, jan.laufer@uni-due.de
Dr. Lennart Hofeditz, GEMIT Institute, Hochschule Niederrhein, Mönchengladbach, Germany, lennart.hofeditz@hs-niederrhein.de
Florian Brachten, Ruhr University Bochum, Bochum, Germany, florian.brachten@ruhr-uni-bochum.de

Responsible Human-AI Collaboration in Agentic and Generative Information Systems

As agentic and generative artificial intelligence technologies increasingly shape digital and organizational service ecosystems, their influence extends well beyond technical performance or content generation. Contemporary information systems are evolving from passive tools into agentic entities that can autonomously generate content, interact with users, adapt to context, and influence decisions. This shift raises fundamental questions about human-AI collaboration, agency, accountability, and responsibility in service contexts.

This mini-track explores how agentic and generative information systems, including large language models, conversational agents, and autonomous service agents, are designed, governed, and deployed to support responsible and human-centered service systems. The mini-track focuses on how these systems redistribute agency between humans and machines, reshape decision-making and collaboration, and alter responsibility structures at the individual, organizational, and societal levels.

We invite conceptual, empirical, and design-oriented research that advances understanding of the design, use, and impact of agentic and generative IS in service settings. We particularly encourage contributions that critically examine governance mechanisms, behavioral implications, and ethical considerations, as well as frameworks for building trustworthy, equitable, and resilient service systems in the age of agentic and generative AI.

Topics of Interest (include but are not limited to):

Responsible human–AI collaboration in service systems
Agency, accountability, and responsibility in AI-mediated services
Design principles and governance of agentic and generative IS artifacts
Behavioral and organizational implications of AI-enabled service interactions
Trust, transparency, and explainability in generative AI services
Ethical, societal, and environmental implications of agentic AI
Frameworks and methodologies for human-centered and resilient service systems

Minitrack Chairs:

Hendrik Wache, ICN Business School, Puteaux, France, hendrik.wache@icn-artem.com
Pauline Weritz, University of Twente, Industrial Engineering and Business Information Systems, Enschede, Netherlands, p.weritz@utwente.nl
Devina Chaturvedi, Department of Information Systems and Business Analytics, Deakin University, Burwood, VIC, Australia, d.chaturvedi@deakin.edu.au
Miriam Herding, Department of Information Systems, University of Münster, Münster, Germany, miriam.moellers@ercis.uni-muenster.de

Human-Centered Service Systems in the Age of Generative and Agentic AI

This mini-track seeks contributions that explore the future of service research in Information Systems, with a particular focus on the interplay between emerging technologies and human-centered service ecosystems. We invite work that examines how generative AI, agentic IS artifacts, AR/VR, IoT, and digital platforms augment human capabilities, transform service design and co-creation mechanisms, and raise new ethical, social, and organizational questions. A key concern is how to ensure that technological progress translates into meaningful, equitable, and sustainable service innovation that strengthens, rather than diminishes, the human role in socio-technical systems. Thus, this mini-track offers a forum for scholars who aim to shape the digital future of services by examining how innovation and responsibility intersect in designing, implementing, and managing technology-enabled service systems. Together, we aspire to build knowledge that informs the next transformation toward more sustainable, inclusive, and human-centered digital service societies.

Call for Papers

Across industries and societies, we are witnessing The Next Transformation: the convergence of generative AI, agentic information systems, automation, and digital platforms is reshaping how services are designed, delivered, and experienced. These developments mark a shift from information systems as passive tools toward intelligent artifacts capable of learning, adapting, and interacting autonomously. In this transformation, services remain central—as enablers of value co-creation at the individual, organizational, and societal level.

We welcome contributions from all research paradigms and methodologies, including design-oriented research, qualitative and quantitative empirical studies, mixed-method approaches, and psychological or experimental perspectives. This methodological openness reflects the complexity of the transformations under study and the interdisciplinary nature of service research. Submissions that integrate service science principles with IS perspectives are especially encouraged, as are submissions that integrate academic and practical insights.

Topics of interest include, but are not limited to:

Human-centered service systems and ecosystems in the age of AI.
Generative and agentic AI for service design, delivery, and management.
Augmentation of human decision-making and creativity in service processes.
Co-creation, co-innovation, and co-destruction in AI-enabled service systems.
Ethical, social, and organizational implications of autonomous IS artifacts.
Service modularization, engineering, and orchestration in digital ecosystems.
Platform-based and data-driven service business models.
Sociotechnical design of future work and service systems.
AR/VR/MR and immersive technologies in service innovation.
Methods, tools, and design artifacts for next-generation service systems.

Minitrack Chairs:

Christian Bartelheimer, University of Göttingen, Göttingen, Germany,
christian.bartelheimer@uni-goettingen.de
Christoph Peters, University of the Bundeswehr Munich, Neubiberg, Germany, christoph.peters@unibw.de
Josephine Moritz, Heinrich Heine University , Düsseldorf, Germany
josephine.moritz@uni-muenster.de

Global, International, and Cross Cultural Research in the Age of Digital Revolution (SIG CCRIS)

Track Chairs:

Shengnan Yang, Western University, syang859@uwo.ca
Xiaohua Zhu, University of Tennessee, xzhu12@utk.edu
Pnina Fichman, Indiana University, fichman@iu.edu
Han-fen Hu, University of Nevada, han-fen.hu@unlv.edu
Saima Qutab, University of Auckland, s.qutab@auckland.ac.nz

Track Description:

The evolutionary development of emerging technologies—such as AI, digital platforms, automation, and data-centric innovation—is recognized as a transformative yet contentious force. Effectively harnessing these technologies presents a significant challenge due to not only their capacities but also the complex interplay between human agents and technological advancements. This track invites scholars and practitioners to explore the complex interplay between human agency, technological systems, and sociocultural contexts. We are particularly interested in research that critically examines how local values, historical conditions, and institutional arrangements influence the development and use of emerging technologies.

The track aims to foster interdisciplinary and cross-regional dialogue, welcoming diverse theoretical lenses and methodological approaches. Emphasis is placed on inclusive, ethical, and sustainable frameworks for information systems development and governance.

Areas of focus include the design and use of technologies across diverse cultural and institutional contexts; the organizational and industrial implications of digital transformation in global settings; Indigenous and non-Western perspectives that challenge dominant technological paradigms; critical perspectives that examine power, exclusion, and alternative knowledge systems; and the ethical and societal consequences of emerging technologies, particularly concerning equity, sustainability, and long-term impact.

We invite submissions on international and cross-cultural aspects of IS, with an emphasis on comparative studies and critical perspectives that challenge dominant frameworks in digital transformation and emerging technologies. Topics of interest include (but are not limited to) the following within global, international, and cross-cultural contexts:

• Human-AI interaction and collaborative intelligence
• Cross-cultural adoption and use of digital technologies
• Indigenous perspectives on digital technologies
• AI/data-driven transformations across borders
• The global spread of disinformation, trolling, fake news, and fraud
• Ethical issues related to digital technology
• Alternative knowledge systems
• Language diversity and inclusive technologies
• Comparative governance and policy frameworks for emerging technologies
• Critical and theoretical perspectives on digital transformation

Cross Cultural Research in IS (SIG CCRIS)

Mini-Tracks:

Ethics, Morality, and Digital Well-Being: AI, Mental Health, and Psychotherapy Across Cultures

As digital technologies become deeply embedded in daily life, they shape not only how we work and communicate but also how we understand morality, ethics, and psychological well-being.

This mini-track explores the intersection of emerging technologies, particularly Artificial Intelligence, online platforms, and digital health solutions, with cultural values, mental health practices, and ethical concerns in global and cross-cultural contexts.

We invite research on topics such as digital psychotherapy, AI-mediated mental health care, ethical dilemmas in algorithmic decision-making, and culturally-sensitive approaches to digital well-being.

Special attention is given to how digital tools influence notions of autonomy, trust, and moral responsibility in mental health support, as well as how these tools are adopted across different cultural and institutional settings.

We welcome empirical, conceptual, and design science contributions that examine the implications of digital technologies for ethical governance, psychosocial care, and inclusive innovation in international and cross-cultural contexts.

Call for Papers:

As digital technologies become deeply embedded in daily life, they shape not only how we work and communicate but also how we understand morality, ethics, and psychological well-being. This mini-track explores the intersection of emerging technologies, particularly Artificial Intelligence, online platforms, and digital health solutions, with cultural values, mental health practices, and ethical concerns in global and cross-cultural contexts.

We invite research on topics such as digital psychotherapy, AI-mediated mental health care, ethical dilemmas in algorithmic decision-making, and culturally-sensitive approaches to digital well-being. Special attention is given to how digital tools influence notions of autonomy, trust, and moral responsibility in mental health support, as well as how these tools are adopted across different cultural and institutional settings.

Topics of interest include (but are not limited to):

Online psychotherapy and digital mental health platforms in cross-cultural settings
Ethical implications of AI in mental health care and decision support
Moral dilemmas in algorithmic bias, transparency, and autonomy
Cross-cultural perceptions of digital well-being and human–machine empathy
Ethics and emotional AI in culturally diverse therapeutic contexts
Comparative studies of digital mental health access and equity
AI-supported diagnosis vs. human judgment: cultural and ethical tensions
Governance, consent, and data ethics in global digital health applications
Inclusive design of mental health platforms across linguistic and cultural boundaries

Minitrack Chairs:

Prof. Dr. Jolanta Kowal, University of Wroclaw, Poland – jolanta.kowal@uwr.edu.pl
Dr. Paweł Weichbroth, Gdansk University of Technology – pawel.weichbroth@pg.edu.pl

Digital technologies for social good, social responsibility, sustainability and global learning

As global societies face interlinked challenges such as climate change, rising inequality, educational disparity, and threats to democratic institutions, the role of digital technologies as enablers of positive systemic transformation has come sharply into focus. Digital technologies – from AI and data analytics to mobile platforms, learning technologies, and decentralized systems – are not inherently beneficial or harmful. Their societal impact depends on how they are designed, governed, and integrated into social, economic, and environmental systems. This mini-track explores how digital technologies can be directed toward advancing human development, social good, environmental sustainability, particularly in global and cross-cultural contexts. It also seeks contributions that critically examine the ways in which digital technologies are used to empower communities, bridge development gaps, foster green transformation, and support inclusive and quality education.

Call for Papers:

We particularly welcome interdisciplinary submissions that span research, practice, policy, and innovation, and that highlight either global challenges or localized responses. The track is open to conceptual, empirical, methodological, and case-based papers, drawing from disciplines such as information systems, education, sustainability science, development studies, and public policy.

Topics of interest include (but are not limited to) the following within global, international, and cross-cultural contexts:

How local norms, histories, and power structures influence the design and adoption of technologies aimed at human development
Cross-cultural case studies of digital inclusion, exclusion, and empowerment
Human agency in navigating tensions between traditional ecological knowledge and high-tech solutions
How digital education tools are localized or resisted across different social settings
The impact of digital technologies on power relations in knowledge production and dissemination
Digital pedagogies and their alignment (or conflict) with local learning traditions and values
Critical reflections on policy frameworks for responsible and equitable digital transformation
Community-driven and culturally rooted digital initiatives for education, sustainability goals
Locally appropriate technologies for environmental sustainability: successes and tensions
The politics of green technology deployment in low-resource or historically marginalized regions

Minitrack Chairs:

PhD Ewa Duda, Institute of Education, Maria Grzegorzewska University, Warsaw, Poland, eduda@aps.edu.pl

Evaluating the Value of AI Technologies: Cross-cultural Perspectives

AI technologies have been integrated into information systems across contexts and cultural landscapes, making it urgent to consider if perceptions and practices of AI respond to context-specific needs and make AI applications more effective and mindful. Emerging AI tools and large language models (LLMs) such as ChatGPT5, Claude, and Co-Pilot are leveraging the ability of generative AI to be creative, to imitate human intelligence, but also to surpass, or diverge from, human abilities. How do we make better use of AI across various information systems? In this mini-track, we approach this question by creating a discussion on the socio-technical affordances that impact AI evaluation in information systems, particularly from a cross-cultural perspective. We understand cross-cultural practices broadly to cover differences across nations, regions, organizations, disciplines, and societies. We welcome studies that are both culture-specific and adopt a comparative lens. Both empirical work and theoretical contributions are welcomed.

Call for Papers:

Sample questions include but are not limited to:

• How do cultural attitudes toward AI shape its adoption and adaptation in different information system contexts?

• In what ways do cultural biases embedded in AI models influence user experience, trust, and decision-making?

• How can AI be understood and examined as a cultural or interpretive technology rather than merely a technical tool?

• How do perceptions of AI differ across cultures, and what implications do these differences have for global AI governance?

• How do cross-cultural variations in information-seeking and consumption shape the development and deployment of AI algorithms?

• How do culturally specific economic, social, and political conditions influence the innovation, regulation, and integration of AI in information systems?

• How do AI models interpret cultural data, and what methods can make them more inclusive and contextually aware?

• How do cultural differences shape user expectations, perceived value, and modes of interaction with AI-driven information systems?

For any questions, please contact the mini-track chair, Dr. Rongqian Ma, at rm56@iu.edu

Minitrack Chairs:

Rongqian Ma, Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, Bloomington, Indiana, United States, rm56@iu.edu

General Minitrack: Cross-Cultural Research in IS (SIG CCRIS)

The General Minitrack under the SIG CCRIS Track provides a venue for high-quality research that may not align perfectly with the specific focus of any single CCRIS minitrack. This minitrack particularly encourages submissions that are innovative, exploratory, or theoretically generative, and that broaden or challenge existing conversations in cross-cultural IS research.

In this context, the CCRIS General Minitrack offers a space for scholars and practitioners to engage with the complex interplay between human agency, technological systems, and sociocultural contexts. We are particularly interested in studies that explore how local values, historical conditions, and institutional arrangements shape the development and use of emerging technologies—such as AI, digital platforms, automation, and data-centric innovation—across cultural and geopolitical boundaries.

Call for Papers:

We welcome a wide range of theoretical and methodological approaches, including conceptual, empirical, critical, and design-oriented research. This minitrack values interdisciplinary, cross-regional, and comparative perspectives, as well as contributions that address issues of ethics, equity, governance, epistemic diversity, and sustainability in technology design, adoption, and governance.

Topics of interest include (but are not limited to):

• Cultural Intelligence in Global AI Projects

• Technology-Driven Organizational Change Across Cultures

• Digital Inclusion and Equity in Cross-Cultural Contexts: AI for All?

• AI and Emerging Technologies for Community Empowerment Across Cultures

• Indigenous, Non-Western, and Alternative Knowledge Systems in IS

• Ethics, Equity, and Governance Across Borders

• Cultural Logics and Algorithmic Systems

• Cross-Border Data Infrastructures and Power

• Disinformation, Sociotechnical Manipulation, and Cultural Contexts

• Designing for Cultural Complexity

• Global Platform Governance and Institutional Change

• Comparative Policy and Regulatory Frameworks for Emerging Technologies

Minitrack Chairs:

Jiangen He, University of Tennessee, jiangen@utk.edu

Green IS and Sustainability (SIG GREEN)

Track Chairs:

Chadi Aoun, Carnegie Mellon University, chadi@cmu.edu
Savanid Vatanasakdakul, Carnegie Mellon University, savanid@cmu.edu
Pratyush Bharati, University of Massachusetts, pratyush.bharati@umb.edu

Track Desciption:

Sustainability and climate change are global issues with many cultural, organizational, technical, societal, regulatory, economic, and individual dimensions. Just as computer-based information systems have been a driving force for societal progress, Green IS can be a driving force for strategic sustainable solutions in organizations and communities.

Green IS enables the transformative power of information systems to support the multiple dimensions of sustainability. It addresses the world’s greatest challenges including shrinking access to non-renewable resources, decreased energy and food security, social inequalities, and environmental degradation due to climate change. IS can play a pivotal role in enabling sustainable solutions, which greatly increase the effectiveness and efficiency of modern communities and enterprises. Consequently, IS research can contribute in such transformation towards a multidimensional perspective to sustainability.

This track is open to any type of research within the scope of Green IS and Sustainability as well as those that adapt research and industry experiences into teaching cases and modules.

Green IS (SIG GREEN)

Minitracks:

Evolving the Twin Transformation: Business Models, Data Management, and Digital Technologies for Circular Value Chains and Service Ecosystems

Recently, circular industrial ecosystems have emerged as transformative enablers for enhanced data management in manufacturing, supply chain management, and beyond. These ecosystems leverage emerging collaborative technologies – such as digital twins, extended reality, and secure data-sharing infrastructures – to drive digitization and convergence with AI tools, foster trust, and improve transparency across industries.

A combined business model redevelopment while continuously transforming to a digital operation, i.e., performing a twin transformation, further enhances these ecosystems by changing the stakeholders exhaustively. It creates a collaborative environment that continuously provides information, fulfilling the main requirement for a circular economy.

Significant challenges remain in designing, implementing, and scaling this twin transformation.

This minitrack invites submissions that explore innovative technologies, novel business models, and data-driven approaches shaping the future of the twin transformed circular ecosystems as empirical studies, theoretical advancements, and comprehensive reviews that provide fresh perspectives and practical solutions to advance this field.

Call for Papers:

The twin transformation represents a transformative force for industrial ecosystems worldwide. At the heart of this transformation lies the use of digital technologies to enable and accelerate the shift towards a sustainable business. Digital solutions such as artificial intelligence, data analytics, the internet of things, and digital twins are pivotal in fostering resource efficiency along value chains, extending product lifecycles, and supporting sustainable business models, leading to a transformation towards a circular economy. These technologies not only enhance operational efficiency but also unlock opportunities for new, sustainable value creation, including, e.g., product-service systems, sharing platforms, circular business models, and closed-loop supply chains.

Nevertheless, this change demands new business models, product and service design, digital capabilities and literacies, and collaborations in data ecosystems. It also faces critical questions about data governance, decision-making, and the trade-offs between economic, environmental, and social objectives.

Recognizing these challenges and opportunities, this minitrack aims to explore the intersection of digitalization and sustainability with a focus on data ecosystems, servitization, circular economy, and sustainable business models. It seeks to foster a deeper understanding of how digital technologies can support sustainable business strategies. Topics may span conceptual, empirical, design science, applied, and theoretical research. Any research methodology (conceptual, reviews, qualitative, quantitative, mixed methods, etc.) at any level of analysis is welcome. Typical themes for contributions to this minitrack include (but are not limited to):

Business and Systems Engineering for the Twin Transformation
Open-Source Innovation & Business Models
System Engineering & Modeling Techniques for the conceptualization of circular ecosystems
Organizational transformation towards circularity: strategies, competencies, and change management
Data Management for the Twin Transformation
Data Sovereignty & Trust in Ecosystems through governance models, data privacy frameworks, and secure data exchange and portability techniques.
Data Acquisition, Preparation, & Storage techniques to feed smart service systems and collaborative platform concepts in industrial operations.
Data Readiness Frameworks to include extensive data sets in data processing applications.
Digital Technologies for the Twin Transformation:
Artificial Intelligence & Retrieval Augmented Generation in Industrial Ecosystems
Digital Twins in Circular Systems, AI-powered agents, and shared digital twins
Industrial Metaverse & Simulation
Digital Product Passports for the continuous provision of information
Web 4.0 Technologies
Decentralized & Secure Technologies & Data Spaces
Challenges and Paradoxes in the Twin Transition
Navigating tensions between digital efficiency gains and sustainability goals (e.g., rebound effects, backfire effects)
Addressing data governance, security, and ethical considerations in circular ecosystems
Overcoming barriers to adopting circular digital innovations in traditional industries
Critical reflections and lifecycle assessments of sustainable digital technologies and how they could enable carbon-neutral sectors
Empirical Insights and Case Studies
Real-world implementations of digital circular business models and sustainable servitization across industries (e.g., manufacturing, energy sector, mobility, construction)
Cross-sectoral learning: insights from different domains on advancing the twin transition
Comparative studies on the effectiveness of digital technologies in circular economy initiatives

Minitrack Chairs:

Hendrik van der Valk Chair for Industrial Information Management, TU Dortmund University, Dortmund, Germany Fraunhofer Institute for Software and Systems Engineering ISST, Dortmund, Germany, hendrik.van.der.valk@isst.fraunhofer.de
Christian Koldewey, Advanced Systems Engineering, Heinz Nixdorf Institute, Paderborn University, Paderborn, Germany, christian.koldewey@hni.uni-paderborn.de
Nick Große, Chair of enterprise Logistics, TU Dortmund University, Dortmund, Northrine-Westfalia, Germany, nick.grosse@tu-dortmund.de
Giácomo Parolin, Department of Civil and Mechanical Engineering, Technical University of Denmark, Kongens Lyngby, Denmark, gipar@dtu.dk

Cybersecurity, Privacy, and Ethics (SIG SEC)

Exploring the Intersection of Information Systems and Regulation on AI and Privacy

Call for Papers:

Minitrack Chairs:

Christian Kurtz, Department of Informatics, University of Hamburg, Hamburg, Germany, christian.kurtz@uni-hamburg.de
Fabian Burmeister, University of Hamburg, Hamburg, Germany, fabian.burmeister@uni-hamburg.de

Sustainable Transformation

Sustainable management aspires to balance social, economic, and environmental dimensions. Existing roadmaps, frameworks and systems do not comprehensively support sustainable transformation, nor do they allow decision makers to explore interrelationships between sustainability dimensions. Thus leading to visions without actions and actions without visions. This is true at the micro level in the life of individuals and families and at the macro level in organizations, supply chains and societies.

This minitrack will explore concepts, models (qualitative, quantitative, optimization, simulation), processes, frameworks, architectures, roadmaps, technologies and systems that will enable individuals, families, organizations, supply chains, and society to become more sustainable in a world ravaged by pandemics, war, famine and climate change. We seek papers on approaches that enable us to support, share, measure, benchmark, model, quantify, qualify sustainability goals, practices, performances, and indicators. This minitrack welcomes other topics in Green IS and Sustainability, that do not clearly fit in other minitracks.

Call for Papers:

Sustainable management aspires towards balancing and integrating social, economic and environmental dimensions. Existing roadmaps, frameworks and systems do not comprehensively support sustainable transformation nor do they allow decision makers to explore interrelationships and influences between the sustainability dimensions. Thus leading to visions without actions and actions without guiding visions. This is true at the micro level in the life of individuals and families and at the macro level in organizations, supply chains and societies as a whole.

This minitrack will explore concepts, models (qualitative, quantitative, optimization, simulation), processes, frameworks, architectures, roadmaps, and systems that will enable individuals, families, organizations, supply chains, and ultimately society to become more sustainable. We seek papers on approaches that enable us to support, share, measure, benchmark, model, quantify, qualify sustainability goals, practices, performances, and indicators. Of particular interest are sustainability efforts in a volatile, uncertain, complex, and ambiguous (VUCA) world ravaged by pandemics, war, famine and climate change. We are also interested in the role of Artificial Intelligence (AI) in supporting sustainable transformation. AI has the potential to enhance decision-making, improve efficiency, and automate processes that drive sustainability efforts across different sectors.

We welcome conceptual, theoretical, and empirical papers that enrich our understanding of this. All methodological approaches are welcome. This minitrack also welcomes other relevant topics to Green IS and Sustainability, that do not clearly fit in other minitracks.

Topics of interest include but are not limited to:

• Sustainable Transformation and Management

• Models for Sustainable Transformation

• AI and Sustainable Transformation

• Quantified Self, Habit formation and Persuasive Systems

• Health, Financial, Environmental, Social, Relational, Spiritual, and Emotional dimensions

• Transformations in Individual, Family, Organizational, Supply Chain, Cultural and Societal Sustainability

• Digital Nomad Trends and Strategies for Long-term Business Sustainability

• Digital Transformation and ESG (Environment, Social and Governance)

• ESG rating and reporting

• Well Being and Happiness

• Gamification for Sustainability

• Governance, Risk, and Compliance

• Processes, Systems, Apps, Tools and Technologies

• Sustainable Transformation in a VUCA world

• Sustainable Human-Computer Interaction

• Stakeholders’ commitment and pressure through trade-offs, reallocating, and redistributing green/sustainability funds

• Sustainable Transformation in times of pandemics, war, famine, and climate change

Minitrack Chairs:

David Sundaram, University of Auckland, Auckland, New Zealand, d.sundaram@auckland.ac.nz
Khushbu Tilvawala, University of Auckland, Auckland, New Zealand, k.tilvawala@auckland.ac.nz
Dr Claris Chung, Accounting and Information Systems, University of Canterbury, Christchurch, New Zealand, claris.chung@canterbury.ac.nz
Gabrielle Peko, University of Auckland, Auckland, New Zealand, g.peko@auckland.ac.nz
Roshni Patel, University of Auckland, Auckland, New Zealand, roshni.patel@auckland.ac.nz

Social Enterprise, Sustainability, And Ethical Supply Chains

As social enterprises tackle complex societal challenges through mission-driven models, understanding their role in advancing sustainability is crucial. This mini-track seeks research that examines the nexus between social missions, ethical supply chains, and financial sustainability. Our goal is to explore how pricing, operational, and sourcing decisions drive both social impact and economic resilience.

Key themes include responsible sourcing, transparency, labor rights, environmental stewardship, and comparative analysis with Corporate Social Responsibility (CSR) models. We also welcome work on decision frameworks for high-impact sectors, focusing on aligning operational strategies with sustainability goals.

By analyzing how social enterprises navigate mission-market trade-offs and synergies, this mini-track aims to generate practical and theoretical insights for building just, sustainable, and resilient economies. We invite empirical studies, theoretical contributions, and case analyses that offer innovative approaches to sustainability, ethics, and supply chain strategy in mission-driven organizations.

Call for Papers:

Mini-Track CFP: Social Enterprise, Sustainability, and Ethical Supply Chains

Motivation

As social enterprises address complex societal challenges through mission-driven business models, their role in advancing sustainability has become increasingly critical. Unlike traditional firms, social enterprises operate at the intersection of social value creation, ethical responsibility, and financial viability, often facing strategic tensions between mission and market.

This mini-track seeks to explore how ethical supply chain practices, combined with pricing and operational strategies, enable social enterprises to enhance their impact while maintaining financial resilience. With growing global emphasis on responsible and sustainable business, this topic is both timely and relevant to scholars, practitioners, and policymakers.

Topics of Interest

We welcome research that examines the strategic, technological, and operational dimensions of social enterprises and their role in sustainable development. Suggested areas include (but are not limited to):

– Ethical and sustainable supply chain management in social enterprises

– Responsible sourcing, transparency, and stakeholder engagement

– Labor rights, fair trade, and environmental stewardship

– Pricing and operational strategies aligned with social missions

– Mission–market trade-offs and hybrid business models

– Comparative studies of social enterprise strategies and CSR in traditional firms

– Decision frameworks for resource-intensive or high-impact sectors

– Metrics, measurement, and impact evaluation of sustainability initiatives

– Digital technologies enabling ethical and sustainable operations

Mini-Track Goals

This mini-track aims to:

– Advance theoretical and practical understanding of how social enterprises integrate ethics and sustainability in strategic decision-making.

– Identify innovative approaches to balancing financial resilience with social and environmental missions.

– Foster interdisciplinary dialogue between information systems, management, sustainability, and ethics.

– Generate actionable insights to inform practitioners, investors, and policymakers committed to building just and resilient economies.

Relevance for the AMCIS Community

The Information Systems (IS) discipline plays a crucial role in enabling sustainable and ethical organizational transformation. Digital technologies — including data analytics, blockchain, platform ecosystems, and supply chain visibility tools — are reshaping how social enterprises design, govern, and scale ethical operations.

This mini-track directly contributes to ongoing IS research on digital sustainability, responsible innovation, and socio-technical systems, aligning with AMCIS themes around technology for societal good. We particularly encourage studies that bridge technological capabilities and social mission outcomes, offering insights relevant to both scholars and practitioners.

Types of Submissions

We encourage diverse methodological and theoretical perspectives, including:

– Empirical studies (qualitative, quantitative, mixed methods)

– Theoretical and conceptual papers advancing new frameworks

– Case studies of innovative social enterprises and ethical practices

– Policy-oriented research exploring governance, regulation, and institutional factors

Intended Audience

This mini-track welcomes contributions from scholars, practitioners, and policymakers interested in social entrepreneurship, sustainability, supply chain ethics, digital innovation, and responsible business strategy. We especially encourage interdisciplinary collaborations.

Minitrack Chairs:

Jongbok Byun, Business School, Sungkyunkwan University, Seoul, Korea, Republic of, jbyun@skku.edu
Chonghyun Park, Sungkyunkwan University, Seoul, Korea, Republic of, chypark@skku.edu

Artificial Intelligence for Sustainability

The catastrophic impact of climate change on biodiversity, ecosystems, and human lives has made environmental sustainability a critical academic focus. Addressing sustainability involves navigating complex trade-offs among diverse stakeholder values. Recent advances in Artificial intelligence (AI) offer transformative opportunities for mitigating climate impacts and adapting to evolving planetary conditions. Beyond early risk detection and prediction, AI now enables sustainable design and materials discovery, resource optimization through autonomous systems, and large language models that facilitate sustainability. AI-driven analytics and digital twins also enhance real-time simulation and management of ecological and industrial systems. This minitrack adopts a socio-technical-ecological perspective to explore how AI, including generative AI and intelligent agents, can support sustainability goals. We invite research of all types, from conceptual work that develops theories around AI’s role in sustainability to empirical investigations of the interplay between AI and sustainability-related phenomena and design work that creates novel AI-enabled solutions and approaches.

Call for Papers:

As a wicked problem, environmental sustainability requires innovative, adaptive, and responsive solutions increasingly powered by AI. AI plays a dual role in addressing climate change, acting as an agent that provides information on carbon emissions while also functioning as an agent-in-action that actively reduces emissions (Verendel, 2023). Machine-based intelligence offers powerful capabilities that can help organizations and society navigate the complex interactions within and between social and ecological systems, transcending the limitations of conventional computing and human intelligence.

AI-based solutions can contribute to sustainability in several ways. First, a primary focus of AI is data analysis and machine learning, which includes techniques such as predictive modeling, deep learning, and genetic algorithms. Through predictive analytics, these systems can interpret ecological complexities, monitor environmental trends, and facilitate real-time coordination and resource allocation for sustainability initiatives (Ketter et al., 2022; Nishant et al., 2020). Second, AI can emulate human cognitive functions (Russell & Norvig, 2016; Schoormann et al., 2023), employing techniques like computer vision, natural language processing, and robotics for efficient monitoring, detection, and mapping of environmental factors in real time to tackle climate change challenges. Recent advancements in generative AI (GenAI) further enhance these capabilities by enabling the creation of new solutions and predictive models based on vast datasets (Pan et al., 2023), allowing for a deeper understanding of environmental patterns and potential interventions. GenAI can assist in generating scenarios for sustainable practices and fostering innovative product designs that are environmentally friendly (Pan and Nishant, 2023). The potential implications of AI agents for IS research have also been discussed (Pan et al., 2025). A third dimension of AI addresses the complexities of human thinking and emotions (Kim and Ben-Othman, 2020; Martínez-Miranda & Aldea, 2005). Techniques such as affective computing, fuzzy logic, and expert systems can enhance decision-making effectiveness, aiding organizations in developing more efficient and sustainable solutions. The integration of various types of AI can promote and support sustainable practices across individuals, organizations, and society (Pan et al., 2024).

This minitrack aims to contribute to the growing body of IS research related to AI and sustainability by adopting a socio-technical-ecological perspective to explore how AI applications can be designed, deployed, and utilized to support environmental sustainability goals while mitigating adverse effects and adapting to new planetary conditions. We welcome conceptual, empirical (qualitative and quantitative), and design research contributions. Research that adopts novel perspectives and theories to investigate the design, implementation, and impacts of AI applications in both private (enterprises) and public (governmental) organizations’ sustainability initiatives is encouraged.

Topics of interest include, but are not limited to:

• Use of AI, including GenAI, for sustainability to transform high-polluting industries.

• Implications of Industry 4.0 and the rise of AI agents on environmental sustainability.

• Applications of AI for sustainability across various sectors, including energy, transportation, agriculture, wildlife, information technology, smart cities, industrial production, waste management, and consumer goods.

• Design and utilization of AI to improve organizations’ environmental footprints.

• Theoretical frameworks integrating AI with sustainability payoffs.

• Factors affecting the success and failure of AI applications in sustainability.

• AI tools for measuring dimensions of environmental sustainability, including environment-related Sustainable Development Goals.

• Development of sustainable products and services utilizing AI and GenAI.

• Use of AI to encourage environmentally responsible behaviors among individuals.

• Application of responsible innovation processes in designing and developing AI applications.

• Conceptual models relating to the relationships between AI applications and environmental sustainability.

• Governance and public policy considerations regarding AI with sustainability implications.

• Threats and risks associated with using AI for sustainability, including algorithmic bias, explainability, transparency, and the digital divide.

• Ethical and social issues linked to the use of AI for environmental sustainability.

• Sustainable design and the use of human-centered AI for enhancing environmental sustainability.

References

Ketter, W., Schroer, K., & Valogianni, K. (2022). Information Systems Research for Smart Sustainable Mobility: A Framework and Call for Action. Information Systems Research, 34 (3), 1045-1065.

Kim, H., & Ben-Othman, J. (2020). Toward Integrated Virtual Emotion System with AI Applicability for Secure CPS-Enabled Smart Cities: AI-Based Research Challenges and Security Issues. IEEE Network, 34(3), 30-36.

Martınez-Miranda, J., & Aldea, A. (2005). Emotions in human and artificial intelligence. Computers in Human Behavior, 21(2), 323-341.

Nishant, R., Kennedy, M., & Corbett, J. (2020). Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda. International Journal of Information Management, 53, 102104.

Pan, S. L., & Nishant, R. (2023). Artificial intelligence for digital sustainability: An insight into domain-specific research and future directions. International Journal of Information Management, 72, 102668.

Pan, S. L., Nishant, R., Tuunanen, T., & Nah, F. (2023) Literature review in the generative AI era-how to make a compelling contribution. The Journal of Strategic Information Systems, 32 (3), 101788.

Pan, S. L., Nishant, R., Tuunanen, T., & Choudrie, J. (2024). Is AI a strategic IS? Reflections and opportunities for research. Journal of Strategic Information Systems, 33(4), 101866.

Pan, S. L., Nishant, R., Tuunanen, T., & Choudrie, J. (2025). AI Agents: Potential implications for IS Research?. The Journal of Strategic Information Systems, 34(2), 101906.

Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited.

Schoormann, T., Strobel, G., Möller, F., Petrik, D., & Zschech, P. (2023). Artificial Intelligence for Sustainability—A Systematic Review of Information Systems Literature. Communications of the Association for Information Systems, 52(1), 8.

Verendel, V. (2023). Tracking artificial intelligence in climate inventions with patent data. Nature Climate Change, 13(1), 40-47.

Minitrack Chairs:

Xue Ning Business, University of Wisconsin-Parkside, Kenosha, Wisconsin, United States, ning@uwp.edu
Vijaya Lakshmi Queen’s, University Belfast, Belfast, United Kingdom, v.lakshmi@qub.ac.uk
Rohit Nishant. Queen’s Business School, Queen’s University Belfast, Belfast, United Kingdom, r.nishant@qub.ac.uk

Digital Sustainability for Business and the Circular Economy

Information Systems (IS) play an important role in developing sustainable and business practices, internally and in a circular economy. Digital sustainability (DS) is defined as “the development and deployment of digital resources and artifacts toward improving the environment, society, and economic welfare” (Kotlarsky et al., 2023). This mini-track is open to inter-disciplinary research that examines DS and its impact on the circular economy.

We welcome research taking any theoretical and methodological approach. This includes but not limited to theoretical frameworks, quantitative and qualitative empirical examination, design science research, case studies, etc. We also welcome studies that examine the application of multiple emerging technologies such as data analytics, Artificial Intelligence (AI), blockchains, etc. to address sustainability.

Topics of interest include:

– DS enabling environmentally and socially sustainable business operations.

– DS enabling sustainability coordination and assessment within firms and across supply chains.

Call for Papers:

Organizations are increasingly embracing sustainability. In order to develop capabilities to address issues that affect people, profit, and planet, businesses need to engage in wide ranging activities such as changing business culture, redesigning business processes, etc. More importantly, research as well as management practice have illustrated that to be truly sustainable, companies should take a holistic approach that includes participation of multiple business functions. Additionally, businesses should focus on not only their own sustainable business operations but also sustainable business practices across the supply chain to create a circular economy.

While the effort to address sustainability issues such as climate change, the rapid loss of biodiversity, concerns over wealth disparity, and corporate social responsibility is difficult, companies have increasingly recognized that business strategies that boldly embrace sustainability have resulted in companies’ being successful in delivering financial, environmental, and social values to themselves as well as related stakeholders. IT/IS resources are critical in enabling firms to develop capabilities that address sustainability issues both within firms and across their supply chain through coordination with supply chain partners, as well as to track Environmental, Social and Governance (ESG) metrics within the company and across the value chain. Digital sustainability (DS) is defined as “the development and deployment of digital resources and artifacts toward improving the environment, society, and economic welfare” (Kotlarsky et al., 2023).

This mini-track invites research from both academic researchers (IS and other areas) or industry practitioners. Particularly, we are open to inter-disciplinary research that examines the role of IT/IS resources in conjunction with other business resources in enabling firms to develop a sustainability strategy that address all aspects of the triple bottom line, both within firms and across supply chain partners.

Topics of interest include, but are not limited to:

– DS enabling environmentally and socially sustainable business operations

– DS enabling sustainability coordination and assessment within firms and across supply chains

– DS enabling a circular economy

– DS enabling sustainability innovations

– The application of IS to climate change adaptation

– Intertwining of environmentally and socially sustainable practices

– Using technologies like blockchain and AI to facilitate supply chain transparency and to improve energy markets

– DS and sustainability vision and strategy within and across firms

– Using the UN Sustainability Development Goals (SDGs) to measure impact

– Design Science and Action research with practical implications for digital sustainability

Minitrack Chairs:

Thomas Abraham, Management, Kean University, Union, New Jersey, United States, tabraham@kean.edu
Viet T. Dao, Grove College of Business, Shippensburg University, Shippensburg, Pennsylvania, United States, vtdao@ship.edu
Nesreen El-Rayes, Georgia State University, Atlanta, Georgia, United States, nelrayes@gsu.edu

Sustainable and Intelligent Mobility: Harnessing AI and Emerging Technologies for Low-Carbon Transportation

Decarbonizing transportation remains one of the most pressing global sustainability challenges of our time. The integration of artificial intelligence (AI) and advanced digital technologies offers transformative pathways toward greener, more energy-efficient mobility systems. Emerging tools such as AI-driven analytics, connected sensors, digital twins, and intelligent automation are reshaping how transportation networks are designed, operated, and optimized for environmental performance. This mini-track invites contributions that explore how data-driven innovation can enable cleaner, smarter, and more resilient transportation ecosystems that balance efficiency, accessibility, and sustainability. Topics may include AI-enhanced traffic and logistics optimization, predictive maintenance, adaptive public transport systems, low-carbon logistics, and human-centered approaches to autonomous mobility. We particularly welcome studies examining the intersection of technology, sustainability, and policy—addressing issues such as ethical and energy-efficient AI, data privacy, cybersecurity, and equitable access. Submissions offering novel frameworks, empirical insights, or case studies that advance sustainable, intelligent, and low-carbon mobility futures are encouraged.

Call for Papers:

Transportation is at the heart of the global sustainability agenda. As cities and industries strive to decarbonize, digital transformation and artificial intelligence (AI) are redefining how mobility systems are designed, managed, and experienced.

The convergence of AI, data analytics, digital twins, and connected infrastructure presents unprecedented opportunities to reduce emissions, enhance efficiency, and build more resilient and equitable transportation networks.

This mini-track invites researchers to explore how intelligent and data-driven systems can advance sustainable mobility, offering theoretical, empirical, and applied perspectives that generate insights relevant to both practice and policy. We welcome conceptual, empirical, and design-oriented papers that critically examine the environmental, social, and economic dimensions of transport innovation enabled by digital technologies.

Topics of interest include (but are not limited to):

AI-driven optimization of transport operations, logistics, and energy use
Digital twins for infrastructure planning, scenario modeling, and lifecycle sustainability
Intelligent automation and predictive maintenance for low-carbon mobility systems
Human-centered and ethical approaches to autonomous and connected vehicles
Policy frameworks supporting digital innovation for sustainable transportation
Cybersecurity, data governance, and privacy in intelligent mobility systems
Behavioral and adoption studies on sustainable mobility and digital transformation

We particularly encourage interdisciplinary submissions that integrate perspectives from information systems, data science, engineering, sustainability studies, and public policy. Contributions may include theoretical developments, methodological advances, applied case studies, or cross-sector analyses.

This mini-track provides a platform for advancing both the scholarly understanding and real-world application of AI and emerging technologies in achieving climate-smart transportation futures. Accepted papers will help shape the conversation on how digital innovation can deliver measurable environmental impact while promoting equitable, efficient, and human-centered mobility systems.

Minitrack Chairs:

Ilja Nastjuk, Georg-August-Universität Göttingen, Göttingen, Lower Saxony, Germany, ilja.nastjuk@wiwi.uni-goettingen.de
Stephan Kuehnel, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany, stephan.kuehnel@wiwi.uni-halle.de
Simon Trang, Paderborn University, Paderborn, Germany, simon.trang@uni-paderborn.de

Sustainable Digital Transformation: IS for Climate Adaptation

Amid accelerating ESG mandates and advances in AI, organizations face unprecedented opportunities and responsibilities to embed sustainability into their digital strategies. This mini-track examines how digital technologies, such as AI, analytics, IoT, and blockchain, facilitate sustainable digital transformation by enabling new capabilities, governance models, and socio-technical changes that promote climate resilience and environmental sustainability.

Aligned with AMCIS 2026’s theme, The Next Transformation, we invite theory-informed research that extends IS perspectives on digital transformation, innovation, and sustainability transitions across organizational, societal, and institutional levels. We welcome conceptual, empirical, and design science studies, including early-stage and interdisciplinary work, that examine how data-driven intelligence, automation, and human-centered design foster responsible, ethical, and equitable sustainability outcomes. Submissions addressing impact measurement, governance, and digital justice in sustainability contexts are encouraged.

Call for Papers:

Sample topic areas (not exhaustive):

AI and analytics for climate risk prediction, adaptation, and mitigation
Digital platforms for the circular economy and sustainable supply chains
Smart grids, IoT, and energy informatics for energy efficiency and management
ESG systems, carbon accounting, and sustainability governance
Generative AI and digital twins for sustainable innovation
Behavioral IS and digital nudges for sustainability action
Design science: digital artifacts, tools, dashboards, simulations for sustainability
IS-enabled metrics, models, and analytics for evaluating sustainability performance

Minitrack Chairs:

Babita Gupta, California State University Monterey Bay, Seaside, California, United States, bgupta@csumb.edu
Ganesh P Sahu, School of Management Studies , Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India, gsahu@mnnit.ac.in
Monika Singh, Institute of Management, Commerce and Economics, Shri Ramswaroop Memorial University, Lucknow, Lucknow, Uttar Pradesh, India, monika2286@gmail.com

Health Informatics & Health Information Technology (SIG Health)

Track Chairs:

Rich Klein, Illinois Institute of Technology, rklein6@illinoistech.edu
Kaushik Ghosh, Suffolk University, kghosh@suffolk.edu

Track Description:

The convergence of artificial intelligence, digital platforms, automation, and data-centric innovations has had a profound impact on the healthcare sector, leading to dramatic changes in health informatics and broader health information technology innovations. The Healthcare Informatics and Health Information Technology (HIT) track seeks to promote research into ground-breaking technology innovations and applications within the healthcare sector while incorporating interdisciplinary theoretical perspectives and methodological approaches beyond the traditional information systems (IS) and health information technology (HIT) disciplines. Information systems and technology (IT) innovations offer significant potential to transform care delivery, improve the quality and efficiency of the healthcare system, enhance interactions between patients/caregivers and providers, and enable greater access to the latest advancements in treatments, among other accomplishments and outcomes. Academic efforts within the Healthcare Technology and Systems track should demonstrate novel work within the IS discipline. The information systems community also draws upon computer science, economics, organizational behavior, public policy, public health, software/electrical engineering, management, and strategy. Completed research and research-in-progress topics might include, opportunities and challenges faced within the current healthcare sector; advances in healthcare information technologies (HIT), electronic health (e-health), telemedicine, and mobile health (m-health), among other innovative technological applications; as well as healthcare industry-specific issues related to traditional IS research concerns, including adoption and diffusion, systems design and implementation, as well as IS success.

Health Informatics & Health Information Technology (SIG Health)

Mini-Tracks:

Digital Transformation in Healthcare

Digital transformation (DX) focuses on building organizations for continuous change in a digital world, impacting not just technology but strategy, leadership, and culture. It overcomes barriers by aligning people, processes, metrics, and culture to drive sustained technology-enabled innovation and growth, ultimately producing value for its end users. In healthcare, DX enables novel models for healthcare delivery and patient-centered care, driven by consumer demand, analytics and artificial intelligence, and evolving patient needs to enhance outcomes and experiences. It addresses challenges like regulatory constraints, data privacy, and legacy systems while fostering agility.

This minitrack explores how DX improves patient outcomes and healthcare delivery across the value chain, including patients, providers, and others. Topics encompass strategic visioning to define shared goals, problem prioritization for high-impact issues, innovation models, scalable governance for growth, technology-related talent development, and cultural shifts to break down silos. This minitrack will consider a variety of empirical or conceptual submissions.

Call for Papers:

This minitrack will consider a variety of empirical or conceptual submissions. Papers must articulate how their work contributes to knowledge related to digital transformation in healthcare.

Minitrack Chairs:

Michael Dohan, Faculty of Business Administration, Lakehead University, Thunder Bay, Ontario, Canada
Christopher Califf, Western Washington University, Bellingham, Washington, United States, califfc@wwu.edu
Joseph Tan DeGroote, School of Business, McMaste, University, Hamilton, Ontario, Canada, tanjosep@mcmaster.ca

Human-Computer Interaction (SIG HCI)

Track Chairs:

Dezhi Wu, University of South Carolina, dezhiwu@cec.sc.edu
Miguel Ignacio Aguirre-Urreta, Florida International University, miguel.aguirreurreta@fiu.edu
David Wilson, Brigham Young University, davidwilson@byu.edu

Track Description:

The AMCIS 2026 HCI Track will provide a forum for AIS members to present, discuss, and explore a wide range of issues related to Human-Computer Interaction and Information Systems. Human-Computer Interaction (HCI) is an interdisciplinary area that has attracted researchers, educators, and practitioners from several disciplines. It essentially deals with the design, evaluation, adoption, and use of information technology, with a common focus on improved user performance and experience. New and exciting research opportunities are emerging, including issues and challenges concerning people’s interactions with various information technologies (including recent developments in smart devices, AR and VR, etc.), their development, and responsible use, that can be examined from an organizational, managerial, psychological, social, or cultural perspective. This track welcomes papers that aim at advancing our understanding of human-computer interaction at the individual, work group, organization, or society levels. Submissions may use any type of research method.

Human-Computer Interaction (SIG HCI)

Mini-Tracks:

IS, Food Industry and Consumer Behavior

This minitrack examines the nature and implications of use of IT in food industry. With growing concerns for food safety, service quality and information sharing in food industry, the impact of information systems and human-computer interaction in the context is receiving great attention. The fact that food industry is related to health issues as well as regular consumption satisfaction makes distinctive phenomena such as organic food purchase, consumers’ willingness to pay price premium, intensive information search, etc. This minitrack aims to extend our understanding of IS in food industry, human-computer interaction, and consumer behavior to enhance the theoretical foundation for research, offer guidance to practitioners and share important empirical findings with consumers. This minitrack welcomes conceptual and empirical research papers investigating these emerging phenomena using various theories and methodologies.

Call for Papers:

Information systems and technology offer significant potential to improve the quality and efficiency of food industry by enhancing interaction between end users and information systems, by reducing information asymmetry between buyers and sellers (restaurants, grocery markets, and food producers), and by empowering consumers with indirect experience of other consumers’ review. For example, in grocery, consumers search for the information about food safety. People first look for the consumer review sites such as ‘Yelp’ to select the restaurant. Intelligent kiosks, self-ordering systems, and automated kitchen systems make restaurant operations efficient, and increase consumer satisfaction. Various human-computer interactions in food business are making new phenomena. At the same time, exciting research opportunities are emerging from the organizational, managerial, psychological, social, or cultural perspectives. We solicit novel completed research and research in progress that address opportunities and challenges in this area. Papers may use any type of research method.

Topics may include but are not limited to the following:

Consumer behaviors in IT use for purchasing food
IT use and food safety
Grocery and fresh food e-business
Impact of IS use on organic food purchase
Impact of IS use in restaurant business
Smart tourism and restaurant business
Impact of interface of IS in food business
Adoption and design of information Systems for food businesses including E-SCM, CRM, and ERP.
Privacy and security challenges in digital food IS
Impact of AI-enabled IS use on health and dietary planning

Minitrack Chairs:

Chul Woo Yoo, Florida Atlantic University, Boca Raton, Florida, United States, yooc@fau.edu
Inkyoung Hur, Florida Atlantic University, Boca Raton, Florida, United States, ihur@fau.edu
Doehun Kim, Florida Atlantic University, Boca Raton, Florida, United States, dkim@fau.edu

Negative Cognitions in Human–Technology Interaction: Psychological & Social Dynamics

We invite submissions examining the psychological and social processes that shape human interaction with technology, with special attention to negative cognitions and emotional responses such as anxiety, skepticism, technostress, or moral concerns (Tarafdar et al., 2007; Stein et al., 2015; Yang et al., 2025). As digital platforms, AI-driven systems, and immersive technologies permeate daily life, it is essential to understand how individuals perceive, evaluate, and sometimes resist these technologies. We welcome empirical, theoretical, and design-oriented contributions that advance understanding of how negative cognitions and social dynamics influence technology interaction, and how these insights can inform both research and practice in information systems and related fields.

Call for Papers:

Minitrack Chairs:

Smriti Srivastava, Western Michigan University, Kalamazoo, Michigan, United States, (smriti.srivastava@wmich.edu)
Rahul Srivastava, University of North Texas, Denton, Texas, United States, rahulsrivastava@my.unt.edu

Understanding Trust, Distrust, and Trust-Restoration in Information Systems

Trust in information systems is a central concept in facilitating adoption and use. Trust is also touted as a key factor associated with AI fairness and use. While there is a rich literature on interpersonal and institutional trust in the marketing, communications, and management literature, research extending these perspectives to the concept of trust in information systems is primarily derived from views promulgated in literature other than our own. Hence, the conceptualization of trust and distrust, including formation, continuance, and restoration in information systems, may need clarifications, modifications or adaptations. In AI-driven information systems, establishing, maintaining, and restoring user trust are fundamental to their effective and ethical deployment. We welcome submissions addressing all aspects of trust, distrust, trust restoration, and risk in information systems, including but not limited to important related areas such as credibility, deception, authenticity, fairness, transparency, and user perceptions.

Call for Papers:

Possible Topics:
• The nature of trust, distrust, and trust restoration in information systems
• Trust and fairness in AI
• Trust in Robo-bosses and Robo-assistants
• Processes of trust and distrust development in information systems
• User risk-taking and the impact of trust on risk perceptions
• Role of trust and distrust in supporting or inhibiting privacy perceptions
• Role of inhibiting privacy perceptions on trust restoration
• Factors that lead to the development of distrust in information systems
• The impact of user, task, technology, and contextual characteristics on trust/distrust in information systems
• Conceptualizations of trust in information systems that expand beyond the typical institutional and interpersonal views to include more direct investigations of the source effects models
• Aspects of trust in information systems that impact technology adoption, decision-making, website performance, revenue, and customer relationships
• The impact of trust and distrust factors on electronic or mobile business/commerce
• Dimensions of privacy concerns and/or privacy violations impacting trust in various information systems
• Conceptual, theoretical, or empirical studies about the impact of information system trust violations or deception on technology adoption, decision-making about technology use and continuance, and e-commerce performance factors

Minitrack Chairs:

Gaurav Bansal, Ohio University, Athens, Ohio, United States, bansal@ohio.edu
Sherrie Yi Komiak, Faculty of Business, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada, skomiak@mun.ca
Fiona Nah, School of Computing and Information Systems, Singapore Management University, Singapore, Singapore, fionanah@smu.edu.sg

Immersive HCI: Affording and Constraining Human Perception and Performance

Immersive systems are transforming human-computer interaction (HCI) by enhancing how individuals perceive, engage, and perform in immersive environments. These systems mediate and modulate human experience through realism, cognition, emotion, and intuition, enabled by technologies such as AI, AR/VR, spatial computing, and multisensory interfaces. Immersive HCI supports interaction through visualization, simulation, gamification, and communication, but may also introduce constraints by increasing cognitive load, reinforcing biases, or distorting perception. Operating across physical, digital, and blended spaces, immersive systems integrate human, environmental, and technological elements to create experiences and performances that are both transformative and contested. This mini track invites research into the affordances and constraints of immersive HCI, how it enables or inhibits interaction, guides attention, and influences decision-making. We welcome studies on human-centric design, applied immersive systems across sectors, and the individual, organizational, and societal implications of immersive HCI.

Call for Papers:

Immersive systems are not merely about crafting compelling engagement; they are about mediating and modulating human-computer interactions (HCI) to improve human experience and capability. These immersive HCIs facilitate technological immersion that can enhance perception and performance by improving realism, cognition, emotion, and intuition through visualization, communication, gamification, simulation, and collaboration. Yet, they may also constrain or distort these capabilities by increasing cognitive load, triggering egocentric biases, or reinforcing anthropomorphic illusions.

Operating across domains, immersive systems blend human, environmental, and technological elements. Technologies such as immersive technologies, computing technologies, display technologies, multimedia, artificial intelligence, and interface design create a landscape of immersive HCI that are not only engaging but also transformative and contested. The affordances and constraints of these interactions, what they allow or inhibit, are shaped by both design and context.

This mini track explores immersive HCI, inviting inquiry into how immersive systems enable and constrain human engagement and invite inquiry into how they afford or inhibit interaction, signal possibilities, guide attention, and scaffold or distort human perception and performance.

Topics of interest include but are not limited to:

• Immersive HCI: Affordances and Constraints

• Human-Centric Design, Development, and Use of Immersive Systems

• Immersive Decision-Making

• Immersive HCI: Perception, Cognition, Emotion, and Affection.

• Immersive HCI Possibility Spaces: Physical, Digital, and Phygital

• Technologies and Emergent Interfaces Facilitating Immersive HCI: AI, Computer Vision, AR, VR, Multisensory Actuators, and/or Spatial Computing.

• Applied Immersive HCI in Education, Health, Agriculture, Retail, etc.

• Governance, Risks, Ethics, Accountability, and Transparency in Immersive HCI Design

• Value and Impact of Immersive HCI on Individuals, Organizations, and Society

We welcome conceptual, theoretical, and empirical papers, and encourage all methodological approaches applied to the study of technological immersion, HCI and immersive systems.

Minitrack Chairs:

Ajay Mutreja, University of Auckland, Auckland, New Zealand, ajay.mutreja@auckland.ac.nz
Gabrielle Peko, University of Auckland, Auckland, New Zealand, g.peko@auckland.ac.nz
Johnny Chan, University of Auckland, Auckland, New Zealand, jh.chan@auckland.ac.nz
David Sundaram, University of Auckland, Auckland, New Zealand, d.sundaram@auckland.ac.nz

Conversational, Cognitive, and Affective HCI

Understanding and adapting to the cognitive and affective states of users can enable systems to interact more effectively. The adaptation may come in changes to the system performance, or in the way the system interacts with users. Recent research has explored ways to understand cognitive and emotional states through a variety of sensors and technologies, including natural language processing, fMRI, eye tracking, keystroke dynamics, and mouse tracking. Emerging systems can incorporate information from these sensors to create more humanlike responses, to improve decision processes, and to gain a deeper understanding of how the user is thinking or feeling. This mini-track provides an outlet for human-computer interaction (HCI) papers that investigate systems—and human behavior with systems—that respond to cognitive and affective states. Possible topics include conversational technology (e.g., chatbots and digital assistants), affective or cognitive state detection, HCI for credibility assessment, novel use of sensor data, and affective computing.

Call for Papers:

Understanding and adapting to the cognitive and affective states of users can enable systems to interact more effectively and creates new possibilities for information systems. Emerging systems are able to incorporate information from these sensors to create more humanlike responses, to improve decision processes, and to gain a deeper understanding of how the user is thinking or feeling.

The cross-disciplinary nature of the IS discipline and its unique ability to view technology in novel ways gives it strong potential to make big waves in this domain. We encourage full paper and research-in-progress submissions ranging from exploratory to confirmatory work. All methods of research are welcome, including design science, qualitative, empirical, and theoretical research. Potential topics include, but are not limited to the following:

• Affective or cognitive state detection, classification, and prediction

• Chatbots and other conversational interactions, including digital assistants

• HCI for credibility assessment

• Movement and expression analysis

• Novel use of biometric and behavioral sensors, including fMRI, eye tracking, heart rate, keystroke dynamics, and mouse tracking

• Affective computing

• Visualization for affective and cognitive data

• Barriers to effective user experience

• Mobile factors

We encourage authors to not be limited by this list, but to seek to submit research that describes or demonstrates innovative potential for cognitive and affective information systems.

Some previously accepted papers include:

• Göldi & Rietsche (2024), Insert-expansions for Large Language Model Agents

• Durneva, et al. (2022) Being There: Spatial Presence in Immersive Environments

• Rzepka (2019) Examining the Use of Voice Assistants: A Value-Focused Thinking Approach, AMCIS 2019

• Jenkins, Kirk, and Valacich (2019) Improving Compassion Measurement in the Workforce by Analyzing Users’ Mouse-Cursor Movements, AMCIS 2019

Minitrack Chairs:

Ryan Schuetzler, Information Systems, Brigham Young University, Provo, Utah, United States
Nathan Twyman, Brigham Young University, Provo, Utah, United States
Mark Grimes, University of Houston, Houston, Texas, United States
Stefan Morana, Chair of Digital Transformation and Information Systems, Saarland University , Saarbrücken, Germany, stefan.morana@uni-saarland.de

ICTs and Global Development (SIG GlobDev)

Track Chairs:

Harminder Singh, Auckland University of Technology and Singapore Institute of Technology, harminder.singh@aut.ac.nz
Petter Nielsen, University of Oslo, pnielsen@ifi.uio.no

Track Description:

The “ICTs and Global Development” track critically examines the complex relationship between digital technology and human progress. It offers a space for discussions that explore the transformative potential and challenges that digital technology presents to individuals, communities, organizations, and societies. Themes that fit this track include, but are not limited to:

– digital innovation for development: advances in ICT are being used to improve the human experience in domains from healthcare to finance. We seek to go beyond surface-level descriptions and highlight innovations that offer scalable solutions to societal challenges, while being mindful of potential risks. A growing topic of interest here is changing demographics, with some societies rapidly ageing, affecting priorities for development and areas of emphasis when investing in ICT. We are also keen on research that analyses the risks and benefits of technology-driven sustainable development.

– digital rights and freedom: ICT is ingrained in everyday life across the world, and this has brought to the fore issues surrounding privacy, surveillance, and online rights. We aim to explore the balance between harnessing technology’s benefits while protecting individual and collective freedoms in the digital age. One specific interest is the digital sovereignty, especially data sovereignty, of marginalised groups, such as the indigenous.

– digital technology and crisis management: recent events underscore the importance of ICT in disaster response, preparedness, and recovery. We are particularly interested in how ICT can mitigate the impact of crises, contributing to enhancing the resilience of communities in all ways: infrastructural, governmental, and psychological.

– the influences of digital technology on national development agendas and the integration of theories and philosophies from the Global South. This perspective is vital for fostering an inclusive discourse that reflects diverse global experiences in shaping the future of digital technology.

ICT and Global Development (SIG GLOB DEV)

Minitracks:

Digital Technology for Crisis Management and Global Development

Call for Papers:

Topics of interest include (but are not limited to):

Coordinated platforms for government, NGO, and community actors.
Digital mental health tools and psychosocial support in emergencies.
ICT4D platforms addressing rural resilience and development gaps.
ICT-based solutions for climate-related and environmental disasters.
ICT-driven strategies for climate resilience and sustainability.
Inclusion, ethics, and digital equity in ICT-supported crisis response.
Recent findings, challenges, and advancements in the landscape of mobile applications.
Simulation, geospatial analytics, and digital twins in crisis planning.
Smart cities and IoT for urban crisis resilience and recovery.

Fast-track opportunity: Selected papers will be considered for publication in Information Technology for Development (ITD) – https://www.tandfonline.com/journals/titd20

Minitrack chairs:

Jolanta Kowal, Institute of Psychology, University of Wrocław, Wrocław, Poland, pawel.weichbroth@og.edu.pl
Pawel Weichbroth, The Department of Software Engineering, Gdańsk University of Technology, Gdańsk, Pomorskie, Poland, pawel.weichbroth@pg.edu.pl

Digital Innovations for Development

Digital innovations that use technologies, such as cloud computing, big data, blockchain, AI, metaverse, and the Internet of Things, have great potential to support socioeconomic development in many ways, such as: digital inclusion, poverty alleviation, empowerment, and fostering entrepreneurship. However, significant challenges arise, as the workforce now engages five generations with different traits and some technologies, like AI, redefine jobs. Ethical issues surrounding digital innovations are also increasingly important. In this mini-track, we encourage authors to go beyond surface-level descriptions and highlight digital innovations offering scalable solutions to societal challenges, while being mindful of potential risks.

Call for Papers:

Digital innovations that incorporate cutting-edge technologies, such as cloud computing, big data, blockchain, metaverse, and IoT, are in use in numerous spheres of professional and everyday life. Some take the form of digital services, built on design thinking techniques that provide users with valuable experiences.

Digital innovations have great potential to support socioeconomic development through digital inclusion, poverty alleviation, empowerment, fostering entrepreneurship, to name a few. However, we must also be mindful of challenges, as the workforce now engages five generations with different traits, and some technologies, like AI, redefine work, careers, and industries. Ethical issues are also becoming more prominent, particularly from the perspective of risk.

The objective of this mini-track is to encourage more research on digital innovations driving socioeconomic development by providing a forum for interested authors to disseminate their research, compare results, and exchange ideas.

We invite researchers from various economic settings, including developed, emerging and transition economies to submit their papers. We are seeking papers dealing with digital innovations and development in various contexts and in various facets, such as business, technical, social, political, cultural, economic, legal, and educational. In particular, we encourage authors to go beyond surface-level descriptions and highlight digital innovations that offer scalable solutions to societal challenges, while being mindful of potential risks.

Submissions to the track could consider the relationship between socioeconomic development and the ICT-related topics listed below:

Design, deployment, governance and management of innovative ICT-supported services and business models for socioeconomic development in various contexts, such as:

– e-government, e-democracy, and citizen participation

– healthcare

– small and medium-sized enterprises

– global supply chains

– off-shoring and outsourcing of systems and services

– education

– digital workplaces and work practices

– migrant and refugee support

– ageing societies

Success factors, barriers and risks of digital innovation adoption in development contexts
Evaluating the return on investment (financial and other) from the adoption and use of digital innovations for socioeconomic development
Dark side of digital innovations
Ethical concerns in digital innovations

Submissions on other topics related to ICT innovations and their link with socioeconomic development are also welcome.

Minitrack Chairs:

Piotr Soja, Krakow University of Economics, Krakow, Poland, eisoja@cyf-kr.edu.pl
Grażyna Paliwoda-Pękosz, University of Economics, Krakow, Poland, paliwodg@uek.krakow.pl
Paulo Rupino da Cunha, CISUC – Center for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, Portugal, rupino@dei.uc.pt
Marinos Themistocleous, University of Nicosia, Nicosia, Cyprus, themistocleous.m@unic.ac.cy

Inclusive, Intelligent, and Responsible Digital Public Infrastructure (IIR-DPI): Harnessing Emerging Technologies for Societal Benefits

Track Chairs:

Sujeet Sharma, IIM Nagpur, sujeet@iimnagpur.ac.in
Rahul Kumar, IIM Calcutta, rahulk@iimcal.ac.in
Rahul Thakurta, Xavier Institute of Management Bhubaneswar (XIMB), rahul@xim.edu.in

Track Description:

Digital Public Infrastructure (DPI) is increasingly recognized as a critical enabler of how services, markets, and governance are organized at scale. DPI which serves as the foundational layer of modern digital societies, focuses on organizing services at scale to deliver public value across societies and nations. From digital identity systems and payment networks to open data platforms and health information exchanges, DPI represents a new generation of socio-technical infrastructures that redefine how states, markets, and citizens interact (World Bank, 2023). At this juncture, emerging technologies, particularly artificial intelligence (AI) and modern data systems are redefining how DPI could be scaled and organized for a sustainable future. In this context, an intelligent and inclusive DPI ecosystem, can ensure equity by democratizing access to services for the greater masses (Sanches and Diniz, 2024).

The potential of emerging technologies for a smart DPI ecosystem also presents several challenges. With AI reshaping economies and governance, Responsible Digital Public Infrastructure (DPI) has become essential for safeguarding trust, equity, and transparency. A Responsible DPI provides the foundation upon which AI-driven services can scale ethically with guard-rails, ensuring that innovation aligns with public value and societal good (OECD, 2024). At the same time, data governance, sovereignty, and responsible AI practices are critical to ensuring trust, fairness, and inclusivity in large-scale public platforms. This track invites research on how AI capabilities, data governance models, and responsible innovation frameworks intersect with DPI to democratize public services, through intelligent ecosystems, for a more inclusive future.

Minitracks:

Modern Technologies and Their Role in Redefining Inclusive and Sustainable Public Infrastructure

Modern technologies such as artificial intelligence, extended reality, quantum computing, blockchain, digital identity systems, open data platforms, and many other emerging technologies are transforming how public infrastructure is designed and delivered. When effectively governed, these technologies can drive digital transformation and expand inclusivity by improving accessibility, sustainability, and efficiency across public sectors. Examples include the EU’s Digital Identity Wallet and India’s Aadhaar System. However, without careful design and policy oversight, these systems risk deepening digital exclusion, particularly for marginalized populations lacking connectivity, literacy, or trust in digital institutions. The challenge lies not only in scaling innovation but also in aligning it with equitable governance mechanisms, institutional safeguards, and responsible design principles that promote trust and long-term societal value. This mini track invites research exploring how modern technologies and public systems foster inclusion, sustainability, and responsible digital transformation across diverse populations, and studies that address the unintended consequences of such integration.

Call for Papers:

This mini track invites research exploring how modern technologies and public systems foster inclusion, sustainability, and responsible digital transformation across diverse populations, and studies that address the unintended consequences of such integration. Topics include, but are not limited to:

The interaction between modern technologies and governance frameworks in advancing inclusive and sustainable digital public infrastructure
Unintended consequences of modern technologies in public infrastructure and their differential impacts on marginalized populations
Governance and policy models that integrate technological innovation with equitable access and long-term sustainability
How modern technologies reshape policy and governance frameworks, as well as citizen access and engagement, toward more inclusive and sustainable public digital systems
Socio-technical capabilities for adopting and governing digital infrastructures in an inclusive and sustainable way
Cross-sector collaboration and coordination mechanisms for developing sustainable and inclusive digital governance ecosystems

Minitrack Chairs:

Xuemei Huang, Business Information Systems Department, Central Michigan University, Mount Pleasant, Michigan, United States, huang3s@cmich.edu
Christine M. Witt, Business Information Systems, Central Michigan University, Mt. Pleasant, Michigan, United States, witt1cm@cmich.edu
Kathryn Ruth Mercuiro, Marketing, California State University, Chico, Chico, California, United States, krmercurio@csuchico.edu

Generative AI for Citizen Engagement and Inclusion

Generative AI is starting to reshape how people use digital public services, participate in democratic processes, and help create public value, but it must be understood as part of broader social and organizational systems that affect fairness, trust, and side effects. Prior work on digital participation shows that AI can structure large-scale citizen input, improve contribution quality, and increase engagement, provided systems are designed for inclusion and responsiveness. Bardhan et al. (2025) and Barrett et al. (2016) emphasize human‑centred, multi‑stakeholder design of AI‑enabled service-systems, offering lessons that translate from healthcare and online communities to civic participation. Bono et al. (2025) propose design principles that fuse collective intelligence with attention to cognitive limits and social diversity. Abdel‑Karim et al. (2023), Borchers et al. (2023), and Connolly et al. (2023) show how AI can act as a “thinking-partner,” strengthen argument quality, and sustain engagement, informing GenAI use cases in public sector participation.

Call for Papers:

This mini-track invites submissions that explore, for example:

Design and evaluation of GenAI-enabled platforms for citizen participation, consultation, and co-production of public services.
GenAI as a reflection or feedback partner to enhance the quality, structure, and diversity of citizen input in digital democracy and urban planning.
Trust, transparency, and accountability mechanisms for GenAI in digital public infrastructures, including governance and ethical design.
Socio-technical challenges, adoption dynamics, and digital inclusion outcomes when integrating GenAI into participation processes.

• Comparative or context-sensitive studies of GenAI-supported engagement across communities, sectors, or countries

Minitrack Chairs:

Dr. Anik Mukherjee, MIS Group, IIM Calcutta, Kolkata, India , anik.mukherjee@iimcal.ac.in
Avijit Sengupta, University of Queensland Business School, University of Queensland, Brisbane, Queensland, Australia, avijit.sengupta@uq.edu.au

IS in Education, IS Curriculum, Education and Teaching Cases (SIG ED)

Track Chairs:

Asli Akbulut, Grand Valley State University, akbuluta@gvsu.edu
Craig Van Slyke, Louisiana Tech University, vanslyke@latech.edu
Geoffrey Dick, St. John’s University, gfdick@aol.com

Track Description:

Information systems (IS) Education plays an important role in enabling a more equitable and socially conscious digital future. However, IS educators face several challenges in the current environment, including improving enrollments, preparing students for evolving professional landscapes, and updating curricula to integrate new and emerging technologies such as augmented and virtual reality, artificial intelligence (AI), machine learning, robotics, blockchain, and the Internet of Things. These challenges highlight the importance of sharing IS education-related knowledge and practices.

In line with the 2026 conference theme, “The Next Transformation,” IS education is at the forefront of shaping how this digital shift impacts individuals, organizations, and society. As emerging technologies converge; AI, digital platforms, automation, and data-driven innovation, educators have a critical responsibility to integrate these technologies into curricula and prepare students to navigate their ethical, societal, and organizational implications. IS education can channel innovation to create meaningful, equitable, and sustainable progress by equipping learners with the skills and values needed for the future of work and the evolving socio-technical environment. Leading conferences, such as AMCIS, therefore, must include a strong IS education track. As the official AIS special interest group on education, SIGED is uniquely positioned to organize a track that aligns with these goals.

This track provides an opportunity for IS educators and researchers to exchange ideas, techniques, and applications through a combination of workshops, panels, and paper presentations. Submissions may focus on improving the teaching of specific courses or on broader, “big picture” topics. In times of technological disruption, the track emphasizes digital innovation, emerging technologies, and quality advances in IS instruction and curriculum. Consistent with the conference theme, we particularly invite submissions exploring how IS education can help students, institutions, and society successfully navigate The Next Transformation. Submissions using IS to advance education in other disciplines are also welcome.

Minitracks:

Pedagogy, Creativity, and Learning

This mini-track on Pedagogy, Creativity, and Learning aims to bring together educators, researchers, and practitioners who explore innovative and creative approaches to teaching and learning in higher education and beyond. In an era marked by digital transformation, inclusive education, and complex societal challenges, creativity has become a cornerstone of effective pedagogy and lifelong learning (El Hakim & Lowe, 2020; Galeboe et al., 2025; Miclea & Roman, 2024). This track offers a platform for interdisciplinary discussions, the sharing of best practices, and the scholarly exploration of how creativity can be cultivated through pedagogical design, technological integration, and reflective practice. It encourages research that reimagines the learning experience as active, multimodal, inclusive, and transformative.

Call for Papers:

Scope and Sub-Tracks

1. Innovative Pedagogies and Creative Teaching Practices: Explores novel instructional methods—such as experiential, multimodal, or play-based learning—that foster creativity and engagement in diverse learning environments. Papers may showcase classroom experiments, new frameworks, or evidence-based approaches that reimagine the teaching process.

2. Digital Transformation and Technology-Enhanced Learning: Examines how emerging technologies (AI, AR/VR, IoT, analytics, gamification) reshape pedagogy, assessment, and curriculum design. Contributions may highlight how digital tools enable creative, personalized, or data-driven learning experiences.

3. Learning Design, Curriculum Innovation, and Assessment for Creativity: Focuses on designing curricula and assessment strategies that promote creativity, critical thinking, and problem-solving. Submissions might include design-based research, creative assessment rubrics, or curriculum redesign initiatives.

4. Multimodal and Embodied Learning Approaches: Encourages discussion on learning through multiple modalities—visual, auditory, kinaesthetic, tactile—and embodied engagement. Examples include LEGO® SERIOUS PLAY®, storytelling, arts-based methods, and sensory-rich pedagogies.

5. Inclusive and Culturally Responsive Learning Environments: Addresses pedagogical practices that ensure inclusion, equity, and cultural responsiveness. Topics include decolonial approaches, indigenous knowledge systems, gender-sensitive teaching, and accessible design for diverse learners.

6. Creativity in Online, Hybrid, and Lifelong Learning Contexts: Explores creativity beyond traditional classrooms—how online, blended, and lifelong learning settings foster collaboration, curiosity, and innovation across different learner demographics and disciplines.

7. Educator Professional Growth, Reflection, and Scholarship of Teaching: Highlights how educators cultivate creativity and reflective practice through professional learning communities, design archaeology, or the scholarship of teaching and learning (SoTL). Submissions may document transformative journeys or evidence-informed teaching experiments.

8. Assessment, Analytics, and Evidence of Creative Learning: Examines how learning analytics, qualitative and quantitative evaluations, or design-science approaches can capture, measure, and visualize creativity and learning impact. Ideal for empirical studies and methodological contributions.

References:

El Hakim, Y., & Lowe, T. (2020). A handbook for student engagement in higher education: theory into practice. Routledge. https://doi.org/10.4324/9780429023033

Galeboe, K. A., Moalosi, R., Rapitsenyane, Y., & Ruele, V. (2025). What is the impact of using design and technology pedagogy to support the attainment of 21st-century skills? Discover education, 4(1), 175-117. https://doi.org/10.1007/s44217-025-00604-5

Miclea, E. M., & Roman, A. F. (2024). Using Multimodal Text to Support Learning in the Developmental Curriculum Cycle. Educatia 21, -(28), 167-173. https://doi.org/10.24193/ed21.2024.28.18

Minitrack Chairs:

Tania Prinsloo, Applied Information Systems, University of Johannesburg, Johannesburg, Gauteng, South Africa, taniap@uj.ac.za
Prof Nazeer Joseph, Applied Information Systems, University of Johannesburg, Johannesburg, Gauteng, South Africa, njoseph@uj.ac.za

Generative AI and the Transformation of Higher Education

This mini-track explores how generative AI (GenAI) is transforming higher education across student behavior, curriculum design, and institutional infrastructure. GenAI influences how students engage with learning, how instructors adapt pedagogy, and how universities manage data security and equitable access. It also raises critical questions of ethics, academic integrity, and governance.

We invite research examining these shifts, including student engagement and integrity, curricular innovation, AI-enabled infrastructure, and policy implications. Both opportunities and risks are of interest, emphasizing the tension between technological advancement and educational values.

We welcome empirical, theoretical, case-based, and reflective studies. This track aligns with AMCIS priorities on responsible technology, human–AI interaction, and digital transformation, offering valuable insights into the future of education in the age of AI.

Call for Papers:

The rapid adoption of generative artificial intelligence (GenAI) is transforming nearly every dimension of higher education. Its influence extends beyond tools and technologies—it affects how students learn, how instructors design curricula, and how institutions build and maintain their learning infrastructure. While GenAI offers powerful opportunities for innovation, it also introduces new pedagogical, ethical, and structural challenges.

This mini-track seeks to examine how AI, particularly generative AI, is reshaping academic practices, behaviors, and institutional strategies. By fostering interdisciplinary discussion, we aim to deepen our understanding of both the potential and limitations of GenAI in education.

Topics of Interest

We invite research that explores, but is not limited to, the following areas:

– Student Behavioral Change: How does GenAI affect students’ learning behaviors, engagement, academic integrity, and interaction during class activities, assignments, and assessments?

– Curriculum and Pedagogy: How are instructors adapting course design, teaching strategies, and learning objectives in response to AI-driven changes?

– Infrastructure and Access: How is AI reshaping institutional learning infrastructure, including data security, equitable access to digital tools, and new models of support systems?

– Ethical and Policy Dimensions: How do universities address academic honesty, authorship, bias, and transparency in AI-mediated learning environments?

Relevance for the AMCIS Community

The Information Systems (IS) community is uniquely positioned to examine the intersection of GenAI, educational technology, and organizational transformation. GenAI raises pressing questions about how digital platforms, data governance, algorithmic transparency, and AI-assisted learning systems influence teaching and learning at scale. This mini-track aligns with AMCIS priorities on responsible technology, human-AI interaction, and digital transformation, and invites contributions that bridge technical and pedagogical perspectives.

Types of Submissions

We welcome a wide range of scholarly contributions, including:

– Empirical research using qualitative, quantitative, or mixed methods

– Theoretical and conceptual papers advancing frameworks on GenAI and education

– Case studies of institutional or classroom-level implementations

– Reflective or practice-based work, including autobiographical perspectives from educators and administrators

– Policy and governance analyses addressing ethical and regulatory issues

Intended Audience

This mini-track welcomes contributions from scholars, educators, technologists, and policymakers interested in the intersection of AI, education, and digital transformation. We particularly encourage interdisciplinary submissions that bring together perspectives from IS, education, ethics, and organizational studies.

Minitrack Chairs:

Jongbok Byun, Business School, Sungkyunkwan University, Seoul, Korea, Republic of, jbyun@skku.edu

Technology Enhanced Collaborative Teaching and Learning

The newer transformative technological innovations, such as Generative AI, have the potential to significantly and positively impact teaching and learning. When the Web was first introduced more than thirty years ago, some educators were doubtful about its potential in teaching and learning. Similarly, today, there are some appropriate reservations about using GAI due to the possibility of unethical uses of it. The pandemic showed that indeed educational technologies can be mostly effective in many ways. The use of GAI-based collaborative systems in teaching, learning, and engagement between both faculty-students and students-students will continue to increase considerably at all levels. The focus of this mini-track is to explore theoretical and practical ways to incorporate learning technologies into teaching and learning to foster engagement, and to improve teaching and learning as well as the overall educational experience for the learners. Can GAI be used to fill the educational gap?

Call for Papers:

The newer transformative technological innovations, such as Generative AI, have the potential to significantly and positively impact teaching and learning if they are used ethically. When the World Wide Web was first introduced to the public more than thirty years ago, some educators were doubtful about its potential in teaching and learning. Similarly, today, there are some appropriate reservations about using GAI due to the possibility of unethical uses of it. The pandemic showed that indeed educational technologies can be mostly effective in many ways. Information and Telecommunication Technologies (ITT) have continued to play a considerable role in facilitating collaboration among individuals and organizations around the globe. The use of GAI-based collaborative systems in teaching, learning, and engagement between both faculty-students and students-students will continue to increase considerably at all levels. The focus of this mini-track is to explore theoretical and practical ways to incorporate learning technologies into teaching and learning to foster engagement, and to improve teaching and learning as well as the overall educational experience for the learners. How could we better utilize newer technologies to fill the educational gap and achive learning equity among various learners’ groups?

Possible topics include but are not limited to:

• Adoption and diffusion of learning technologies

• Effective, mindful, and ethical use of learning technologies

• Ethical uses of Generative AI platforms in teaching and learning

• Models of collaborative learning

• Collaborative tools and technologies

• Usability and user satisfaction

• Support and training structure

• The role of learning technologies and human educators in teaching and learning

• Value-added impacts of using learning technologies

• Efficient measurement and management of learning technologies

• Outcome measures

• State-of-the-art practices

• The dark side of relying too much on the use of technology in teaching and learning

Minitrack Chairs:

Rassule Hadidi, Dean, College of Management Rassule Hadidi College of Business and Managemeny, Metro State University, St. Paul/Minneapolis, Minnesota, United States, rassule.hadidi@metrostate.edu

Innovative Methodologies and Tools with Generative AI in IS Education

To prepare students for the future of the workplace, generative artificial intelligence (GenAI) has become an important tool for information systems (IS) education. This mini-track, Innovative Methodologies and Tools in IS Education, invites research and pedagogical innovations that demonstrate creative and effective ways to embed Gen AI into IS teaching and learning.

This mini-track proposal could offer more than showcase technological innovation; it may address enduring challenges in higher education, such as limited access to hands-on experiences and the demand for digital fluency and ethical literacy. Active learning and critical thinking are promoted in immersive and blockchain-enabled learning environments, bridging the gap between theoretical instruction and real-world application. In addition, they can democratize access to resources, foster inclusion, and facilitate skill development in a diverse student population.

Call for Papers:

This mini-track examines actionable insights, design principles, and lessons learned. Educators, researchers, and technologists will gather to enhance IS education’s ability to transform student learning experiences and equip future professionals with the skills, adaptability, and values they will need to thrive. Submissions that provide rich descriptions, lessons learned, and even teaching notes (for those intended as classroom cases) are welcome, as they help build a repository of knowledge on how these technologies play out in practice. Topics of interest, but not limited to:

– Novel theoretical and socio-technical perspectives to further understand how AI-driven educational environments affect learning, collaboration, and student well-being.

– Methodological innovations (e.g., design science research prototypes, action research in classrooms, experimental designs) can evaluate the effectiveness of AI applications.

– Integrating GAI tools into IS courses and curriculum – include a teaching case for classroom discussion, detailing an organization’s experience with enterprise AI training or a university’s initiative to deploy an AI chatbot for student advising.

– Redesigning assessment in IS courses in light of GAI.

– Quantitative or qualitative studies assessing the impact of immersive and intelligent technologies on learners and instructors – studies could examine the outcomes of using AI tutors or grading assistants on student performance and instructor workload.

– Adapting class activities to account for and leverage GAI tools.

– Development of GAI focused IS courses, such as prompt engineering.

– Design of GAI academic programs

Minitrack Chairs:

Bao Duong, Computer Information Systems, Appalachian State University, Boone, North Carolina, United States, duongbq@appstate.edu
Joseph Mansour, University of Louisiana Monroe, Monroe, Louisiana, United States, Jmansour@ulm.edu
T. Selwyn Ellis, CIS, Louisiana Tech, Ruston, Louisiana, United States, ellis@latech.edu

AI for Education and Societal Impact

The rapid evolution of artificial intelligence (AI) is reshaping industries, academia, and societies, making AI education increasingly crucial. Researchers and educators now face the challenge of developing talent who are not only users but also creators of AI technologies. However, significant gaps remain in understanding how AI impacts disciplinary knowledge, how marginalized voices are included (or excluded), and how diverse stakeholders, students, educators, trainers, policymakers, and industry professionals, engage with AI. This mini-track seeks contributions that address these gaps, with a particular focus on promoting inclusivity and equity in AI. We especially invite submissions that explore innovative educational models and pedagogies, examine the role of AI in fostering inclusion, and provide insights into how AI can support underrepresented groups across various societal contexts. By addressing these critical issues, this mini-track aims to advance a more inclusive and equitable future for AI.

Call for Papers:

As AI-driven technologies are transforming the way we live, work, and interact, the significance of AI in academia, education, and society cannot be overstated. Researchers and educators are confronted with the challenge of nurturing and communicating with a generation of talent who are not only users but also creators of AI technologies. This transformation requires a holistic reimagining of methodologies, and assessment frameworks that empower students, professionals, and policymakers to comprehend, critically analyze, and actively engage with AI concepts.

The mini track on AI for Education and Societal Impact aims to provide a pivotal platform for the exploration of diverse dimensions within AI’s educational and societal impact, transcending traditional boundaries and embracing multidisciplinary perspectives. Topics of interest include, but are not limited to:

• Use of AI and analytics to support learning

• Cases where AI was used to improve decision-making

• Showcase AI competitions and challenges in teaching

• AI education across various disciplines and industries

• AI-enhanced learning and work environments

• Human-Centered AI for education, business, and society

• Equity and access to AI

• Issues of using AI in education

• AI’s role in shaping social policies and addressing societal challenges

• Practical examples of AI integration into IS learning modules

Minitrack Chairs:

Xin Zhao, University of Manchester, Manchester, United Kingdom, skye.zhao@manchester.ac.uk
Yao Shi, University of North Carolina Wilmington, Wilmington, North Carolina, United States
Elahe Javadi, School of Information Technology, Illinois State University, Normal, Illinois, United States, ejavadi@ilstu.edu
Xuanning Chen, University of Cambridge, Cambridge, United Kingdom University of Cambridge, Cambridge, United Kingdom

General IS Education Minitrack

The General IS Education Minitrack seeks high-quality research and best practices papers on IS Curriculum and education topics not covered in other SIGED minitracks, including submissions focusing on IS/MIS education innovation and advances, empirical, theoretical, qualitative, and quantitative research papers, and teaching cases.

Potential topics include, but are not limited to, the following:

Intelligent Technologies and IS Education
Improving IS education using MOOCs, online learning platforms, and blended learning models
Improving virtual learning environments, online/hybrid teaching, & flipped classrooms
Pedagogical and curricular innovations in IS education
Using AI, AR/VR, or emerging technologies to improve IS education
Improving IS student engagement and IS/MIS degree program enrollments
Addressing ethical and social issues in IS education
Promoting digital equity via IS education
Using social entrepreneurship and IS education to address complex societal challenges
Enhancing IS program quality and sustainability via assessment, accreditation, and continuous improvement
Enhancing IS student experiences via education partnerships

Minitrack Chairs:

Thomas Case, Information Systems, Georgia Southern University, Statesboro, Georgia, United States

IS Leadership and the IT Profession (SIG LEAD)

Track Chairs:

Jennifer Pullin, Virginia Military Institute, pullinje@vmi.edu
Diana Young, Trinity University, dyoung1@trinity.edu

Track Description:

This track is aimed at fostering a forum for IS scholars engaging in a range of issues surrounding the practice of IT related research including IS leadership, the IT workforce, career development/training and issues surrounding the IT profession. We are particularly interested in research that focuses on the leadership challenges and issues faced by both IT executives and practitioners when procuring, developing, delivering, and maintaining IT solutions. Specific objectives of the track are to allow members to share their research, develop the discourse between academia and practice, engage in exchange of perspectives, and encourage future collaborations. The track is sponsored by the AIS Special Interest Group on IS Leadership (SIGLEAD) in collaboration with the Society for Information Management (SIM). This track has been led by SIGLEAD and hosted at AMCIS since 2003. The proposed track title is an evolution of the previous Human Capital in Information Systems title as the new title was determined to be more reflective of the SIGLEAD sponsorship, more reflective of growing coordination with SIM and more inclusive of the research interests of both groups.

Though articles on IS leadership and the IT profession abound in the practitioner press, much less attention has been devoted to the topic from an academic perspective. IT professionals – whether they are leaders at the executive level, heads of specific technical areas within an organization, project leaders, individual contributors, or external professional service providers – are the human dimension of the discipline and therefore issues surrounding IT practice are of enduring concern to academics and practitioners alike. Mini-tracks will be sought to cover the range of the track interest and authors will be encouraged to submit both conceptual and empirical papers contributing to both research and practice that employ a variety of quantitative and qualitative methodologies.

Leadership in IT (SIG LEAD)

Minitracks:

IS Leadership Track

The IS Leadership Minitrack seeks to explore the various dimensions, theoretical bases, and perspectives on IS Leadership Development and to advance the state of scholarship on the issue. Authors are encouraged to submit both conceptual and empirical papers that employ various quantitative and qualitative methodologies. Topics include, but not limited to:

Chief Information Officers (CIO), Chief Technology Officers (CTO), and Chief Digital Officers (CDO) professional leadership roles
Emerging digital leadership roles and their influence in organizational strategy, including TMT integration.
Impact of both technical and non-technical executives on innovation and organizational performance
Leadership roles and challenges around middle level IT leaders
Equity, Diversity, Inclusion and accessibility issues among IS leadership
Effect of the board of directors and shareholders on IT policy, governance, and management
Impacts of having IS as a secondary role in SME leadership

Minitrack Chairs:

Paola A. Gonzalez, Faculty of Management, Dalhousie University, Halifax, Nova Scotia, Canada, paola.gonzalez@dal.ca
Mahesh Raisinghani, College of Business, Texas Woman’s University, Denton, Texas, United States, mraisinghani@twu.edu

Issues in the General IT Leadership

The Issues in the General IT Leadership mini-track is aimed at fostering a forum for IS scholars engaged in issues highly relevant to the practice of managing information systems to share their research, engage in exchange of perspectives, and encourage future collaborations. Management within the IT profession is broadly defined to include research on issues as relevant to IS leaders such as CIOs and CTOs, as well as other individuals responsible for managerial oversight of organizations with IS responsibilities.

Call for Papers:

Though articles on issues in the IT profession are common in both the practitioner press and the technology vendor community, much less attention has been devoted to the topic from an academic perspective. Managing IT requires leaders to understand the interplay between managerial decisions and information technologies and systems. Research regarding issues in the IT profession examines the business impacts relating to the decisions that IS leaders must make regarding the people, processes, data and technology that are make up information systems. It is, thus, an enduring concern to IS academics and practitioners alike. Research areas related to issues of the IT profession are informed by the results of the Society of Information Management (SIM) annual survey of IS leadership priorities. The mini-track seeks to explore the various dimensions, theoretical bases, and perspectives on issues in the IT profession and to advance the state of scholarship on the issue. Authors are encouraged to submit both conceptual and empirical papers that employ a variety of quantitative and qualitative methodologies.

Possible Topics:

General IT Leadership –

Research falling outside other mini tracks, i.e., issues beyond IS leaders and IT professionals
IT leadership issues in studies of culture, cross-culture, education, projects, and transformation
IT leadership as a factor in existing theories, e.g., leader roles within IT Strategy as Practice
The impacts of emerging technology trends on leadership roles, responsibilities and strategies
The role of IT leadership in supporting AI implementations, and the organizational implications of AI adoption
Literature review, bibliometrics, and meta-analysis of the field of IT leadership studies
Epistemological, methodological, and ethical challenges in studying leadership in IT
Knowledge exchanges and partnerships between research and practice in IT leadership
Studies building upon SIM Survey of IT Trends and other Evidence-Discovery Research

Minitrack Chairs:

Joseph Taylor College of Business Administration, California State University, Sacramento, Sacramento, California, United States, (joseph.taylor@csus.edu)
Sam Zaza, Middle Tennessee State University, Murfreesboro, Tennessee, United States, sam.zaza@mtsu.edu
Assistant Professor Ramakrishna Dantu, Information Systems and Business Analytics, California State University, Sacramento, California, United States, ramakrishna.dantu@csus.edu

IT Profession

The IT Profession covers IS/IT professionals playing various roles in organizations. The roles include CIOs, IT managers, IT security officers, IT project managers, and software engineers covering Gen-AI, etc. While IT Professionals drive success in organizations, the IT Profession has challenges and dilemmas covering digital transformation and/or innovation, that include; IT value realization, diversity, professional development with skillsets, work-life balance, and managing IT workforces. The mini track aims at research that addresses these challenges and dilemmas within organizations toward society. The mini-track will enable scholars to network and explore collaboration.

Possible Topics:

Information systems roles and careers
Career streams and professional development of technical managers and staff
The impact of artificial intelligence on the IT workforce demands career development and professional retention.

• Preparation and development of non-technical executives for senior IS and technology positions in large enterprises and for IS as a secondary role in SMEs

Minitrack Chairs:

Yoshimasa Masuda, School of Computer Science, Management, Carnegie Mellon University / Keio University / Tokyo University of Science, Pittsburgh (US) / Yokohama (JP), Pennsylvania, United States, ykmasuda@gmail.com Graduate School of SDM/Management, Keio University / Tokyo University of Science, Pittsburgh(US) / Yokohama (JP), Pennsylvania, Japan, yoshi_masuda@keio.jp
Professor Rashmi Jain, The Department of Information Management and Business Analytics at Feliciano School of Business, Montclair State University, Montclair, New Jersey, United States, jainra@montclair.edu

IT Profession

Possible Topics:

Information systems roles and careers
Career streams and professional development of technical managers and staff
The impact of artificial intelligence on the IT workforce demands career development and professional retention.
Preparation and development of non-technical executives for senior IS and technology positions in large enterprises and for IS as a secondary role in SMEs

Minitrack Chairs:

Yoshimasa Masuda, School of Computer Science, Management, Carnegie Mellon University / Keio University / Tokyo University of Science, Pittsburgh (US) / Yokohama (JP), Pennsylvania, United States, ykmasuda@gmail.com Graduate School of SDM/Management, Keio University / Tokyo University of Science, Pittsburgh(US) / Yokohama (JP), Pennsylvania, Japan, yoshi_masuda@keio.jp
Professor Rashmi Jain, The Department of Information Management and Business Analytics at Feliciano School of Business, Montclair State University, Montclair, New Jersey, United States, jainra@montclair.edu

IT Project Management (SIG ITPROJMGMT)

Track Chair:

Michael A. Erskine, Middle Tennessee State University, michael.erskine@mtsu.edu
Michael H. Breitner, Leibniz Universität Hannover, breitner@iwi.uni-hannover.de

Track Description:

In today’s highly competitive marketplace, organizations continue to look for ways to maximize the value of their projects. Information technology (IT) projects, in particular, continue to face challenges related to uncertainty, emerging technologies, and evolving societal demands. IT projects have become notorious for high failure rates, escalating costs, and budget overruns. Both research and practice suggest that many IT projects struggle to meet functionality and quality targets.

Research has identified multiple reasons for these challenges: project escalation, poor risk management, failure to manage user expectations, weak governance, ineffective learning from past projects, or challenges related to virtual, hybrid, and AI-assisted projects. The insights gained from research in this area are highly relevant to practice and offer opportunities to extend and refine existing theories. As a research community, there is still much to learn about improving IT project outcomes in ways that not only deliver technological value but also foster resilience, sustainability, and societal impact.

This track welcomes papers addressing a wide range of IT project management topics, particularly those that engage with the theme of The Next Transformation.

IT Project Management (SIG ITPROJMGMT)

Mini-Tracks:

Digital Ethics and Responsible Innovation in IT Project Management

Digital Ethics and Responsible Innovation in IT Project Management explores the intersection of ethical frameworks, emerging technologies, and project leadership. This mini-track invites research and practice-based insights on how IT project managers can embed ethical considerations into decision-making, stakeholder engagement, and technology deployment.

Topics include algorithmic fairness, privacy-by-design, responsible AI, sustainability, and governance in agile and traditional project environments. We welcome contributions that address ethical dilemmas, regulatory compliance, and innovative strategies for fostering trust and accountability in digital transformation initiatives.

Minitrack Chairs:

Dr. Carl Canlas, College of Engineering & Technology, Utah Valley University, Orem, Utah, United States, carl.canlas@uvu.edu
Salma Shaik, University of Pittsburgh, shaik@pitt.edu
Muhammad Irfan Khalid, University of Agder, muhammad.i.khalid@uia.no

Project Management in a Digital World

Digital transformation continues to attract significant attention from both practitioners and researchers as digital technologies reshape the scale, scope, and speed of modern business. The accelerated normalization of digital technologies in many industries has placed unprecedented pressure on organizations. Firms that fail to adapt often face declining competitiveness or even extinction, as digital-first entrants and agile incumbents redefine the rules of engagement. Consequently, the ability to successfully plan, execute, and manage digital transformation projects has become a strategic imperative.

We invite contributions such as:

* Approaches for preparing, engaging, and supporting employees through digital change initiatives.

* Ethical and governance considerations in implementing transformative technologies, such as data privacy, AI accountability, and responsible use of automation.

* Case studies that analyze critical success factors, failure points, and lessons learned from digital transformation projects.

* The role of project management methodologies in navigating digital disruption.

Call for Papers:

This mini-track provides a forum for researchers and practitioners to share insights into managing projects in technology-empowered business environments. We invite contributions such as:

* Strategies for aligning digital transformation projects with specific organizational objectives, such as revenue growth, customer experience enhancement, or operational efficiency, and integrating them into evolving business models.

* Approaches for preparing, engaging, and supporting employees through digital change initiatives, including training programs, communication strategies, change readiness assessments, and culture-building practices.

* Ethical and governance considerations in implementing transformative technologies, such as data privacy, algorithmic transparency, AI accountability, and responsible use of automation.

* Case studies that analyze critical success factors, failure points, and lessons learned from digital transformation projects across industries, with attention to measurable outcomes.

* The role of project management methodologies (e.g., agile, hybrid, traditional) in navigating digital disruption.

* Cross-industry perspectives on resilience, adaptation, and lessons learned, including comparative insights from sectors such as healthcare, finance, manufacturing, and education.

Minitrack Chairs:

Dr. Jason A. Williams, School of Computer and Cyber Sciences, Augusta University, Augusta, Georgia, United States, jwilliams45@augusta.edu
Michael Cuellar, Information Systems, Georgia Southern University, Statesboro, Georgia, United States, mcuellar@georgiasouthern.edu
Manouchehr Tabatabaei, Enterprise Systems and Analytics, Georgia Southern University, Statesboro, Georgia, United States, mtabatabaei@georgiasouthern.edu

Agile Project Management

This minitrack focuses on enhancing our understanding of agile methods in IT project management. Agile methodologies are a large part of IT project management, focused on reducing the cost and time for changes made throughout the software development process. As these methods rely heavily on teamwork, team members must understand the factors that drive project success using agile methodologies. At the same time, organizations struggle to sustain agile methodologies long-term, and to manage a potentially diverse range of agile projects at the portfolio level. These and related items are of interest for this mini-track.

Possible topics include, but are not limited to:

Agile and adaptive IT project management versus traditional management
Challenges in implementing and sustaining agile methodologies
Communication and interaction on agile teams
Decision-making and governance in agile teams
Critical success factors in agile project management
Navigating the digital transformation process using agile methods

Minitrack Chairs:

Tanya Giannelia, John Molson School of Business, Concordia University, Montréal, Quebec, Canada, tanya.giannelia@concordia.ca
Mahesh Raisinghani, College of Business, Texas Woman’s University, Denton, Texas, United States, mraisinghani@twu.edu

Strategic IT Project Portfolio Management for Organizational Value

This minitrack offers a platform to discuss current opportunities and challenges, emerging ideas, and innovative practices in IT Project Portfolio Management (ITPPM), particularly in complex and technology-driven environments. As organizations face limited resources and increasing complexity, it is essential to strategically plan, prioritize, and allocate IT budgets effectively and efficiently to ensure that IT investments closely align with strategic and value-driven goals. The role of different stakeholders and the influence of organizational culture on portfolio management decisions are also key aspects. This minitrack emphasizes relevance and encourages new perspectives and creative approaches to ITPPM.

We invite submissions that include (but are not limited to) the following topics:

• Strategic alignment of and value creation in IT project portfolios

• Portfolio governance, prioritization, and decision-making

• AI and data analytics in ITPPM and resource management

• Risk management and performance measurement in ITPPM

• ITPPM roles, especially on a strategic level

Call for Papers:

We invite submissions that include (but are not limited to) the following topics:

• ITPPM and organizational effectiveness and efficiency

• Strategic alignment of and value creation in IT project portfolios

• Portfolio governance, prioritization, and decision-making

• Human-centric and behavioral aspects in ITPPM

• AI and data analytics in ITPPM and resource management

• Balancing agility and control in ITPPM

• Digital transformation through efficient ITPPM

• Risk management and performance measurement in ITPPM

• Organizational culture, leadership, and capability development in ITPPM

• ITPPM roles, especially on a strategic level

• ITPPM integration of agile, hybrid, and traditional management approaches

• Sustainability and ecosystem perspectives in ITPPM

Minitrack Chairs:

Fenja Schulte, Leibniz University, Hannover, Germany, schulte@iwi.uni-hannover.de
Dr. Claudia M. Koenig, Institute of Information Systems, Hannover, Germany, koenig@iwi.uni-hannover.de
Prof. Dr. Dr. h.c. Hans Georg Gemünden, Technical University, Berlin, Germany BI Norwegian Business School, Oslo, Norway, hans.gemuenden@tim.tu-berlin.de
Alexander Kock, Technologie- & Innovations management, Darmstadt University of Technology, Darmstadt, Hessen, Germany, kock@tim.tu-darmstadt.de

General Topics in IT Project Management

The Minitrack will feature papers and panel(s) that focus on problems that cut across many traditional IS/T Project Management areas, including, but not limited to, the following topics:

• AI and Project Management

• Theories used in project management

• Virtual and distributed project management

• Patterns of project management

• Agile project management

• Knowledge networks

• Project management methodologies

• Project leadership

• Project quality metrics

• Best practices in project management

• Project management standards

• Project success

• Knowledge sharing and management in IT projects

• Portfolio project management

• Project governance models

• Software and e-services project management

• Project auditing

Call for Papers:

The Minitrack will feature papers and panel(s) that focus on problems that cut across many traditional IS/T Project Management areas, including, but not limited to, the following topics:

• AI and Project Management

• Theories used in project management

• Virtual and distributed project management

• Patterns of project management

• Agile project management

• Knowledge networks

• Project management methodologies

• Project leadership

• Project quality metrics

• Best practices in project management

• Project management standards

• Project success

• Knowledge sharing and management in IT projects

• Portfolio project management

• Project governance models

• Software and eservices project management

• Project auditing

The Minitrack welcomes high-quality conceptual and empirical contributions that attempt to advance theory and application of project management using any research approach – action research, experimental, grounded theory, design science, survey research, theory development, prototyping, methodology development, PM tool development, etc.

All submissions to the minitrack are expected to represent original work that has not already been published in a journal or conference proceedings. If the work has been presented at another conference or is currently under consideration for publication or presentation elsewhere, the authors must disclose this fact.

Submissions can either be “completed research” or “research-in-progress” papers

Completed research papers

Selected completed research papers presented in the minitrack at AMCIS 2026 will be automatically considered for fast-track publication in a special issue of e-Services Journal. Authors may be asked to further revise their manuscript subsequent to presentation to address workshop comments and meet any additional requirements of eSJ available at http://www.e-sj.org.

Research-in-progress papers

Submissions should include a one-page abstract and a paper that includes the following sections: research objectives and questions, theoretical foundations of the study, research methodology being used, current status of the project, and a description of what the authors propose to present at the conference.

Minitrack Chairs:

Gaurav Shekhar, Information Systems, The University of Texas at Dallas, Richardson, Texas, United States, gauravshekhar2003@gmail.com
Deepak Khazanchi, College of Information Science and Technology, University of Nebraska at Omaha, Omaha, Nebraska, United States, khazanchi@unomaha.edu

AI, GenAI and Sustainability in IT Project Management

AI and GenAI are reshaping IT project management (PM), enabling new forms of prediction, automation, and decision support. However, organizations are under pressure to ensure that their projects deliver not only technological and business value but also resilience, sustainability, and broader societal benefits. We invite research that examines how AI and GenAI can be used responsibly in PM, and how IT projects can advance long-term sustainability and resilience goals. We call for studies addressing the opportunities for and risks of AI-enabled project management.

Possible topics include (but are not limited to):

AI and GenAI-augmented tools for project planning, risk management, governance
Ethical and responsible AI in project management practices
Sustainable and green IT project management approaches
Building resilience into projects facing technological, environmental, or societal disruption
Societal value creation and community impact through IT projects

• Balancing efficiency, innovation, and ethical responsibility in AI-enabled projects

Minitrack Chairs:

Cristina Trocin, Catolica Porto Business School, Porto, Portugal, ctrocin@ucp.pt
Jon W Beard, Supply Chain and Information Systems (SCIS), Iowa State University, Ames, Iowa, United States

Philosophical Perspectives for the Next Transformation (SIG PHIL)

Track Chairs:

Nik Rushdi Hassan, University of Minnesota Duluth, nhassan@d.umn.edu
Sabine Khalil, Illinois State University, skhali2@ilstu.edu
Carlos Parra, FIU, cmaparra@fiu.edu

Track Description:

The AMCIS 2026 SIGPHIL track invites Information Systems scholars to develop new philosophical perspectives as well re-imagine existing philosophical perspectives that can address the profound shifts that society is experiencing from the convergence of artificial intelligence (AI), platforms, automation, and data-centric innovation. We seek work that clarifies the concepts, frameworks, models, values, and information systems (IS) theories needed to steer this next transformation toward meaningful, equitable, sustainable and responsible futures. We welcome contributions drawing on—and extending—traditions such as pragmatism, phenomenology, critical realism, virtue ethics, and philosophy of technology/AI. Submissions may be purely philosophical (conceptual analysis, argumentation, theory development) or philosophically informed analyses of IS practice and design.

Central questions include: What kinds of entities are digital/AI systems (ontologically), what knowledge do they produce (epistemologically), and what should we do with them (ethically and politically)? How can philosophical inquiry illuminate responsibility, trust, privacy, agency, and well-being in datafied organizations and platform ecosystems?

Submissions may include conceptual/theoretical papers; methodological reflections on philosophically grounded IS research; design-theoretic and normative frameworks; critical essays and debates; panels or dialogues that bridge philosophy with IS practice. The track aims to cultivate a scholarly community that clarifies concepts, advances theory, and offers actionable guidance for deploying AI and digital technologies responsibly—so that innovation serves people, organizations, and society at large.

Philosophy in Information Systems (SIG PHIL)

Mini-Tracks:

Philosophy of Technology and Theories in Information Systems

The philosophy of technology examines how technology shapes and is shaped by society, culture, and human values. Emerging in response to the transformative impacts of the Industrial Revolution and modern technological change, it recognizes technology as more than a neutral tool—it is a force intertwined with ethics, materiality, and human purpose. While the information systems field has explored the social contexts and outcomes of technology, its underlying philosophical dimensions remain underdeveloped. As digital technologies increasingly reveal their “dark sides,” a deeper understanding of technology’s nature, design, and moral implications becomes crucial. This minitrack invites contributions that address fundamental questions about what technology is, how it should be used, and what responsibilities its creators and users hold. By integrating philosophical reflection with IS theory and practice, the minitrack seeks to advance responsible innovation and enrich our understanding of technology’s role in shaping the human future.

Call for Papers:

The philosophy of technology is a subfield of philosophy that seeks to understand how technology shapes our society, culture, and individual lives, and how our values, ethics, and worldviews influence technological development. It recognizes the complexity of technology, considering it as more than a neutral means-end tool (Barnard, 2002). Historically, philosophical interest in technology is relatively new, arising from the significant social changes brought about by the Industrial Revolution and World War (Ihde, 1993; Ferre, 1995). It became clear that technology played an important role in shaping society—too important to ignore. However, the role technology came to play was not a purely contemporary phenomenon, but rather reflected developments that had taken place over centuries, influenced by different people and cultures. Thus, a philosophical exploration into technology involves examining the historical evolution of technology, from ancient tools to modern digital advancements, and understanding how these changes have impacted human thought and behavior.

At its core, the philosophy of technology grapples with questions about the nature of technology itself. For the most part, the contexts in which technology is used as well as its outcomes have received wide attention in the IS field (e.g., through socio-technical theories), whereas its foundational concepts, materiality, and design have, to a large extent, remained unexplored. With increasing testimonies and focus on the dark sides of technology (e.g., McCarthy et al., 2023), it is even more urgent to understand the full life cycle of technology. Considering that the focus of the IS domain is to study the ever-evolving relationship between humanity and its technological creations—encouraging a thoughtful and responsible approach to the development and use of technology—the philosophy of technology provides a critical lens through which we can do this.

This minitrack seeks to explore questions such as: What is technology? How does it differ from mere tools or instruments? What theories surrounding technology and IS inform and improve our understanding of intelligent technologies for a better future? What responsibilities should creators and users of technology bear? How should technology be used? Can technology redefine what it means to be human?

By integrating philosophical inquiry with theory and practical insights, this minitrack aims to contribute to a deeper understanding of how IS can be designed and utilized to facilitate the next transformation while addressing the complex ethical dilemmas posed by technology.

Minitrack Chairs:

Peter André Busch, University of Agder, Kristiansand, Norway, peter.a.busch@uia.no
Devinder Thapa, University of Agder, Kristiansand, Norway, devinder.thapa@uia.no

Philosophical perspectives for artificial intelligence

The philosopher of science Wilfrid Sellars once said, roughly, that the aim of philosophy was to understand how things in the broadest sense of the term hang together in the broadest way possible. In this spirit, this minitrack invites wide-ranging work that brings creative philosophical inquiry to AI’s roles in organizational life, platforms, and datafied societies. We seek submissions that clarify the ontology of AI artifacts and agents (e.g., algorithmic agency, autonomy, embodiment), the epistemology of AI-produced knowledge (explanation, uncertainty, evidence, model interpretability), and the ethics and politics of AI (alignment, responsibility, bias, privacy, trust, governance). We welcome contributions that develop or critically extend traditions such as pragmatism, phenomenology, virtue ethics, critical realism, philosophy of technology/AI, and conceptual engineering, as well as philosophically informed analyses of IS practice (e.g., human–AI collaboration, decision support, surveillance, platform governance). Submissions should articulate clear conceptual commitments and normative criteria, demonstrate explanatory payoff for IS phenomena, and offer actionable guidance for designing, deploying, and governing AI toward meaningful, equitable, sustainable, and responsible futures.

Key words/Key areas:

Topics in philosophy of language or technology and their relation to LLMs
Philosophically-inspired design science approaches
New methodologies for understanding AI based on philosophical methods (e.g., conceptual analysis, hermeneutics, deconstruction, genealogy)
Old theories, new technologies – re-engaging classical thoughts and theories to understand AI-enabled Digital/Human (re)configuration at work (e.g., Hannah Arendt’s notions of labor, Marx’s theory of exploitation)
How do ideas from influential figures in philosophy of mind relate to current forms of AI (e.g., Daniel Dennett, Andy Clark, David Chalmers, John Searle)?
Drawing new ideas, concepts, theories relevant to AI from underrepresented philosophical subdisciplines (e.g., philosophy of mathematics and logic, metaethics, aesthetics, Eastern philosophical traditions, feminist philosophy)
Responsible AI futures (e.g. automation/augmentation paradox, sustainable futures, meaning of life)
Political Philosophy and AI (e.g. transparency/bias, justice/fairness, privacy/security, explainability, accountability, collective choice)

Minitrack Chairs:

Professor Laurence Brooks, School of Information, Journalism and Communication, University of Sheffield, Sheffield, United Kingdom, l.brooks@sheffield.ac.uk
Travis Greene, Department of Digitalization, Copenhagen Business School, Copenhagen, Denmark, trgr.digi@cbs.dk
Dr Atif Sarwar, Department of Operations and Supply Chain Management, University of Liverpool, Liverpool, United Kingdom, atif.sarwar@liverpool.ac.uk

Ethical Considerations for AI and Digital Transformation

The field of ethics is under-researched in the IS field. In this mini-track, we provide a venue where ethical theories of IS, particularly those related to AI and Digital transformation, can receive a hearing.

• How can papers on ethics topics be written so that MISQ and other top journals will consider them for publication?

• Do IT and AI, in particular, present new ethical dilemmas, or are they just the current dilemmas expanded in scope and scale?

• What is the proper relationship of humans and AI in organizations?

• Who is responsible for the actions of AI-enabled technology?

Call for Papers:

The field of ethics in IS has historically been under-researched (Paradice et al., 2018). Yet, with the rise of AI-enabled technology, which can operate autonomously and replace humans in work systems, it is past time to consider the ethical implications of this technology. Historically, we have posed questions about how to explain phenomena, perform a particular function, and solve a specific problem. Still, we have not considered whether we should do this or what the ethically appropriate way to approach developing a solution is. While Mason (1986) advanced the PAPA framework and Floridi (2011) proposed information ethics theory, ethics within the IS discipline remains a series of individual expressions with little cumulative discourse. In our opinion, IS has been a pragmatic discipline rather than a principled one.

Additionally, while there are specialist journals such as AI & Ethics, AI & Society, and Ethics and Information Technology, within the AIS community, there have not been many venues for ethical questions and theories to be considered and discussed. We do have such places as “The Philosopher’s Corner” within The Database, but there is still a need for more fora within the mainstream AIS community to consider ethical questions.

This mini-track aims to provide a venue for discussing ethical issues in IS, especially those related to AI and Digital Transformation. Topics for this mini-track could include, but not be limited to:

• How can papers on ethics topics be written so that MISQ and other top journals will consider them for publication?

• Do IT and AI, in particular, present new ethical dilemmas, or are they just the current dilemmas expanded in scope and scale?

• What is the proper relationship of humans and AI in organizations?

• Who is responsible for the actions of AI-enabled technology?

• When digitally transforming an organization, what consideration do we give to workers who will be displaced by AI-enabled technology?

• What is the ontological status of AI-enabled technology? Are they life forms? Should they be afforded rights?

• What are the ethical considerations for the use of AI in potentially lethal situations, e.g., police and military applications?

• What is the appropriate approach to ethics in AI and Digital transformation: Deontological, Consequential, or Virtue Ethics?

Floridi, L. (2011). The Philosophy of Information. Oxford University Press.

Mason, R. O. (1986). Four Ethical Issues of the information Age. MIS Quarterly, 10(1), 5-12.

Paradice, D., Freeman, D., Hao, J., Lee, J., & Hall, D. (2018). A Review of Ethical Issue Considerations in Information Systems Research Literature. Foundations and Trends in Information Systems, 2(2), 133.

Minitrack Chairs:

Michael Cuellar, Information Systems, Georgia Southern University, Statesboro, Georgia, United States, mcuellar@georgiasouthern.edu
John Oredo, University of Nairobi-Kenya, john.oredo@uonbi.ac.ke
Christian Kurtz, University of Hamburg, christian.kurtz@uni-hamburg.de

There is nothing as practical as a good theory: IS Practice for the next transformation

The philosopher Kant noted that to ignore theory is as ridiculous and as dangerous as an artillery soldier ignoring the theory behind ballistics by giving the reason that in practice, theories don’t work. This philosophical stance was behind Kurt Lewin’s aphorism that “there is nothing as practical as a good theory”. In this spirit, this minitrack invites contributions that examine the relationship between theory and practice in Information Systems (IS). Specifically, it aims to explore how IS theory both informs and is informed by practice as well as how this interplay can help the field rationalize, explain and master current and upcoming technological disruptions. Authors are free to draw from any philosophical tradition, including the rich corpus of research in practice and the philosophy of practice, as we encourage reflections on how the IS field can leverage the unique bond between theory and practice to foster theoretical and practical contributions.

Call for Papers:

The philosopher Kant noted that to ignore theory is as ridiculous and as dangerous as an engineer ignoring general mechanics or an artillery soldier ignoring the theory behind ballistics by giving the reason that in practice, theories don’t work. This philosophical stance underpins Kurt Lewin’s enduring aphorism: “There is nothing as practical as a good theory”.

In this spirit, this minitrack invites contributions that examine the dynamic relationship that exists between theory and practice in Information Systems (IS). More precisely, it aims to explore how IS theory both informs and is informed by practice, and how this interplay can help the field rationalize, explain and master current and upcoming technological disruptions.

Authors are free to draw from any philosophical tradition, including the rich corpus of research in practice and the philosophy of practice such as Schatzki’s practice turn, Bourdieu’s theory of practice, Deleuze and Guattari’s assemblages of situated and material activities, Wenger’s communities of practice, and Bachelard’s phenomeno-technology (which integrates theory and practice). We encourage a reflection on how the IS field can leverage the unique bond between theory and practice to foster both theoretical and practical contributions.

This minitrack thus seeks works that highlight not only the importance of IS practice, but also the close relationship between practice and theory. Topics relevant for submissions include, but are not limited to:

Historical and philosophical perspectives on the theory-practice divide in IS
Revisiting the theory-practice gap: causes, consequences, and ways forward
The evolution of IS as a practice-informed discipline
Philosophical and theoretical foundations of IS practices
Balancing academic rigor and practical relevance in IS research
Translating theoretical insights into actionable IS interventions
Bridging theory and practice in traditional and emerging IS domains (e.g., AI, sustainability, platform ecosystems)
The practical impacts of IS theories on individuals, organizations and society
Analyzing and evaluating the utility of IS research outcomes
Knowledge co-creation between academics and practitioners in IS research
The role of practice in shaping and testing IS theories

Minitrack Chairs:

Philippe Marchildon (Primary contact), École des Science de la Gestion, Université du Québec à Montréal, Canada, marchildon.philippe@uqam.ca
Pierre Hadaya, École des Science de la Gestion, Université du Québec à Montréal, Canada, Email: hadaya.pierre@uqam.ca

Native information systems concepts, frameworks, and theories for the next transformation

The pervasive and unprecedented digitization of organizational and human experience represents a profound challenge to established theorizing methods. As Zuboff (2019) argues, we are confronted with “the unrecognizability of the unprecedented”—emergent digital phenomena that defy existing conceptual categories and thus escape societal oversight and academic understanding. We lack the language, constructs, and frameworks to truly see what is novel. Without new names, we cannot recognize or meaningfully theorize these shifts.

This minitrack invites research that responds to this challenge by advancing native Information Systems (IS) concepts, integrative frameworks, and theories—grounded in the distinctive objects, practices, architectures, and value tensions of the digital. We especially welcome work that does not merely borrow from reference disciplines, but instead produces IS-specific theorizing capable of illuminating and shaping the next socio-technical transformation driven by AI, disruptive digital technologies, and data-centric innovation.

Call for Papers:

Aligned with a recent MIS Quarterly editorial (Burton-Jones et al. (2021), we believe that increasing complexity demands theories that help us make sense of digital transformation and act wisely. We therefore encourage submissions that articulate new constructs, explain evolving socio-technical arrangements, or propose middle-range or design theories that guide the responsible development and governance of digital technologies.

Topics for this mini-track could include, but are not limited to:

* Development of native IS concepts and constructs for novel digital phenomena that cannot be adequately explained by theories borrowed from reference disciplines.

* Epistemological and methodological innovations for researching evolving socio-technical phenomena that are adaptive, emergent, or distributed.

* Theorizing digital objects and artifacts whose boundaries, agency, and materiality evolve over time (e.g., learning systems, dynamic algorithms, generative models).

* Integrative frameworks for understanding and designing socio-technical architectures composed of humans, data, platforms, and computational agents.

* Theorizing new forms of organizing, value creation, and coordination that arise from data-centric innovation, data flows, and digital infrastructures.

* Conceptualizing shifting notions of agency, decision rights, and authority in systems where humans and algorithms jointly act or co-produce outcomes.

* Frameworks that explain the societal and organizational implications of pervasive digital monitoring, data extraction, and behavioral prediction.

* Theorizing inherent digital value tensions (e.g., privacy vs. personalization, autonomy vs. automation, transparency vs. performance).

* Conceptualizing futures in which AI is both a research subject and a research partner, requiring new theories of collaboration between human and computational intelligence.

* Approaches that enable IS to tackle interdisciplinary challenges without eroding or diluting the field’s disciplinary identity.

* Mechanisms through which IS can transform cross-disciplinary insights into native IS constructs, preserving the uniqueness of digital and socio-technical phenomena and IS as a theory-generating (rather than theory-consuming) discipline.

Minitrack Chairs:

Steffi Haag, Institute of Computer Science, Heinrich Heine University Düsseldorf, Düsseldorf, Germany, steffi.haag@hhu.de
Osden Jokonya, Information Systems, University of the Western cape, Cape Town, Western cape, South Africa, ojokonya@uwc.ac.za

LACAIS Chapter - Spanish, Portuguese, and Latin American IS Research (LACAIS)

Track Chairs:

José Pineda, California State University, jose.pinedadelgado@csulb.edu
Indira Guzman, California State Polytechnic University, irguzman@cpp.edu
Taiane Ritta Coelho, Federal University of Parana, taianecoelho@ufpr.br
Nadia Rodriguez, nadiar@ulima.edu.pe

Track Description:

The Spanish, Portuguese, and Latin American Information Systems Research Track at AMCIS is dedicated to advancing IS research in and about Latin America. Given that Latin America constitutes a significant portion of the Americas, with its population predominantly speaking Spanish or Portuguese, this track creates an important platform for the dissemination of rigorous and high-quality research in these languages. It also welcomes scholarly contributions in English that focus on the Latin American context.

This track is sponsored by the Latin American and Caribbean Association of Information Systems (LACAIS) chapter of the Association of Information Systems (AIS), reflecting the shared commitment to fostering academic excellence and cross-cultural dialogue within the global information systems community.

In line with AMCIS 2026’s theme, this track centers Latin American perspectives on the convergence of AI, automation, digital platforms, and data-centric innovation, examining how these forces can be governed and designed for equitable, sustainable impact across Spanish- and Portuguese-speaking contexts. We particularly welcome work on responsible deployment, trust and privacy, and the future of work and well-being, including studies of AR/VR, edge computing, FinTech, and autonomous systems in regional public and private sectors.

Minitracks:

IS Research in Latin America (Submissions in English)

We extend an invitation for submissions to a dedicated research mini-track, which seeks to advance the landscape of high-quality research in the field of Information Systems and Technology Management, with a special emphasis on the dynamic region of Latin America. This mini-track aspires to delve into a wide spectrum of IS topics, encompassing IS strategy, IS development, IS implementation, digital innovation/transformation, ICT development/governance, and other pertinent areas of research either conducted within Latin America or exclusively focused on this region.

We welcome the submission of research papers written in English for this mini-track, offering an opportunity to contribute to the growth and exploration of this field within the Latin American context.

Minitrack Chairs:

Lolita Pérez-Ayala, Social Sciences, University of Hawaii at Manoa, Honolulu, Hawaii, United States, layala9@hawaii.edu
Gladys Simpson, Florida International University, Miami, Florida, United States, gsimpson@fiu.edu
Dr. Luiz Felipe Aspesi Guerra, IAE Bordeaux, Université de Bordeaux, Bordeaux, France, guerraluizfelipe@gmail.com

IS Research in Spanish

The Spanish, Portuguese, and Latin American Information Systems Research Track at AMCIS promotes information systems research in and about Latin America.

The AMCIS 2025 IS Research in Spanish mini-track opens a space for rigorous and high-quality information systems research written in Spanish.

This mini-track is sponsored by the Latin American and Caribbean Association of Information Systems (LACAIS) Chapter of the Association of Information Systems (AIS).

Minitrack Chairs:

Professor Donna Angela Roper MSc., Informatics, Universidad de Panama, Panama, Panama, Panama, donna.roper@up.ac.pa
Hernan Nina, Universidad de Lima, Lima, Peru, hninaha@ulima.edu.pe
Ingeniero Jose Rogelio Fung Corro Ing, Red de Investigación de Recursos Hídricos y Ambientales , Universidad Unidos, Chitré, Herrera, Panama, Jose.fung@up.ac.pa

IS Research in Portuguese

The Spanish, Portuguese, and Latin American Information Systems Research Track at AMCIS promotes information systems research in and about Latin America. The AMCIS 2025 IS Research in Portuguese mini-track opens a space for rigorous and high-quality information systems research written in Portuguese. This mini-track is sponsored by the Latin American and Caribbean Association of Information Systems (LACAIS) Chapter of the Association of Information Systems (AIS).

Minitrack Chairs:

Marcia Cassitas Hino, Hino Universidade Tecnológica Federal do Paraná, Curitiba, Brazil, marciahino@uol.com.br
Violeta Sun, EACH – Sistemas de Informação, USP, São Paulo, SP, Brazil, violeta@usp.br
Vanessa Martins, dos Santos Fundação Getulio Vargas, São Paulo, Brazil, vanessadossantos2611@gmail.com

Social Computing (SOCCOMP)

Track Chairs:

Sara Moussawi, Carnegie Mellon University, smoussaw@andrew.cmu.edu
Raquel Benbunan-Fich, Baruch College, City University of New York, raquel.benbunan-fich@baruch.cuny.edu

Track Description:

Social Computing encompasses research at the intersection of social behavior and computing technologies, highlighting how digital innovations shape, and are shaped by, the ways people connect, collaborate, and engage with one another. This track welcomes submissions from diverse research methods and perspectives, inviting work that investigates the socio-technical dynamics of platforms, algorithms, and infrastructures that mediate social interaction, decision-making, and collective action.

In line with the AMCIS 2026 theme, we particularly welcome papers that explore how emerging technologies at the convergence of artificial intelligence, automation, digital platforms, and data-centric innovations are transforming social computing. As AI-powered systems increasingly influence communication, reputation management, collaborative work, and content curation, critical questions arise about trust, privacy, equity, and well-being.
We encourage a wide range of theoretical, empirical, and design-oriented contributions. Submissions may explore, but are not limited to, the following topics:

AI-enhanced algorithms in social networking, recommendation, and filtering systems
Social computing’s role in shaping work, collaboration, and organizational life
Digital platforms as arenas for civic engagement, collective action, or policy influence
The implications of automation, data-driven design, and algorithmic governance for social life
Social computing and well-being, including issues of connection, isolation, or toxicity
Ethical and societal challenges, including bias, privacy, equity, and public trust

Through diverse perspectives and methods, this track aims to deepen our understanding of how social computing technologies both enable and challenge meaningful, equitable, and sustainable social interactions in an increasingly digitized world.

Mini-Tracks:

Technological Innovation and Society

The acceleration of technological development and innovation has created unprecedented opportunities for individuals, organizations, and society. However, while we race to take advantage of these benefits, a growing sense of uncertainty and social anxiety has emerged due to our limited understanding of where we are heading. We not only propel the technological changes but are also pushed by our creations to adapt and evolve within an increasingly digitalized existence. This mini-track invites studies that examine the dynamics of technology and human interaction, specifically, the elements that impact the social fabric, such as how people live, work, and communicate with each other, and how organizations are transformed. The overarching goal is to safeguard the public by raising awareness of the societal impacts of technological advancement, identifying innovative approaches to address the challenges of maintaining a safe and productive environment, and promoting overall social well-being.

Call for Papers:

This track welcomes studies that apply a wide range of research methodologies, including, but not limited to, empirical, theoretical, philosophical, review, or position papers. Topics of interest include, but are not limited to the following:

• Opportunities and problems associated with the adoption of AI in education

• Ethical and legal issues around AI

• Fraud and social media scamming, e.g., online identity, financial scam

• Impact of using AI on human creativity

• Impact of technology and social media on physical and mental health

• Relationship between technology and humans

• Social media addiction and isolation

• Social media and law enforcement

• Social media and personal relationships

• Technological innovation and human resource management productivity/job performance

• Technology, democracy, and public opinion

• Social media, face-to-face interaction, and personal fulfillment

• Social media in business communication

• Social media and politics

• Technology and society

SUBMISSION TYPES

• Full papers must not exceed 10 pages all-inclusive (approx. 5,000 words).

• Emergent Research Forum (ERF) papers must not exceed 5 pages all-inclusive (approx. 2,500 words).

All submissions must conform to the AMCIS 2026 submission guide and will be peer-reviewed using a double-blind system.

Minitrack Chairs:

Wendy Wang, University of South Alabama, Mobile, Alabama, United States, wwang@southalabama.edu
Ying Wang. Northern Illinois University, DeKalb, Illinois, United States, ywang15@niu.edu
Yi Liu, Computer Science, University of North Carolina Wilmington, Wilmington, North Carolina, United States, liuyi@uncw.edu

Social Computing and Well-being

Social connection is a fundamental human need; yet, in our increasingly digital world, feelings of isolation and loneliness are on the rise. Social computing offers a unique yet complex opportunity to address this challenge and promote well-being. On the one hand, as technology continues to evolve rapidly, we can expect to see more innovative and groundbreaking ways to use social computing to connect people and address the challenges we face. On the other hand, social computing can exacerbate and complicate well-being issues by exposing people to online toxicity, misinformation, or echo chambers. Thus, IS researchers must explore the nuances of how social computing can be unlocked for the greater good while minimizing any potential harm to well-being. This mini-track invites innovative research that examines the impact of social computing on well-being by demonstrating how people can foster stronger social connections, mitigate negative effects, and cultivate positive online experiences.

Call for Papers:

Empirical, theoretical, or position papers are all encouraged within this minitrack. The topics of interest include the use of social computing for well-being. Some examples include:

Designing Supportive Online Communities:

– The impact of social computing platforms on belonging, social support, and social identity

– Impact of interaction with AI agents on social platforms on individual behavior and well-being

– Characteristics of communities to drive meaningful interactions and reduce social isolation

– Community design to promote self-compassion, mindfulness, and coping techniques

– Mechanisms and tools to identify and filter misinformation and misleading content, especially in an era of generative toolsets

– The role of online communities in supporting resilience and recovery in individuals with physical or mental health challenges

Optimizing Mental Health and Well-being:

– Social platform use for early detection and intervention of mental health concerns

– Interventions to promote healthy online behavior and reduce negative social media impacts

– Leveraging social computing to connect individuals with mental health resources and support

– Use of tools to enable individual self-care as supported by AI-augmented interventions

– Educating users to recognize and minimize the impact of toxic behaviors on their well-being

– Fostering user agency to give users greater control over their online experiences

Personalized Well-being Experiences:

– Tailoring social platforms to promote well-being based on individual needs and preferences

– Optimizing platform content to drive more positive community cultures

– AI-enabled personalization of content for healthy social comparison and reduced feelings of inadequacy

– Understanding the risks of algorithmically driven, personalized content that may drive individuals towards extremist views or damaging experiences

– Examining how algorithm literacy can promote healthy and intentional social platform use

We are particularly interested in research that:

– Employs evidence-based approaches from psychology and well-being research.

– Develops and evaluates user-centered interventions with measurable positive outcomes.

– Prioritizes ethical considerations around data privacy, safety, and user agency.

– Considers the potential negative impacts of social media and proposes mitigation strategies.

Minitrack Chairs:

Qin Weng, Information Systems and Business Analytics, Baylor University, Waco, Texas, United States, qin_weng@baylor.edu
Michael Dinger, Information Systems and Business Analytics, Baylor University, Waco, Texas, United States, michael_dinger@baylor.edu

Social Inclusion and Socio-Technical Issues (SIG SI)

Track Chairs:

Saman Bina, Baylor University, saman_bina@baylor.edu
Wallace Chipidza, Claremont Graduate University, wallace.chipidza@cgu.edu

Track Descriptions:

The Social Inclusion track welcomes relevant empirical and theoretical research, in either completed research or emergent research format, that relates to the mission of SIG Social Inclusion (SIG SI). While research about inclusion spans multiple facets of everyday life, this year we adopt the theme of the conference and call for papers related to diversity, equity and inclusion (DEI) and ethical issues related to the adoption and use of emergent technologies, AI and algorithmic biases, and digital platforms and societal challenges for e-inclusion as the world experiences digital transformation. In addition, we welcome papers that tackle the general topics of inclusion: the under-representation of gender, minorities, race, ethnicities, neurodiversity, and abilities in the IS field, intersectionality of identities (such as ethnicity, gender and socio-economic class), socioeconomic divisions that impact access to or use of technology, designing for the differently-abled, the digital divide, underserved groups in the information society, and a range of topics related to human diversity, and the haves and have nots in an information society.

Social Inclusion and Socio-Technical Issues (SIG SI)

Mini-Tracks:

General Social Inclusion

The purpose of the General Social Inclusion Mini-track is to host high-quality research related to social inclusion, diversity, and equity issues that are not covered by the other SI mini-tracks. The general mini-track encourages submissions that use innovative research methods and/or theories to consider important issues through new lenses and paradigms, such as critical theory, design science, and networking theory. Examples include, but are not limited to, research about global South issues, LGBTQ+, gender biases, and neurodiversity.

Minitrack Chairs:

Christopher Kreider School of Engineering and Computing, Christopher Newport University, Newport News, Virginia, United States, chris.kreider@cnu.edu
Oteng Ntsweng W.P. Carey School of Business, Arizona State University, Tempe, Arizona, United States, oteng.ntsweng@asu.edu

Social Theory in Information Systems Research (STIR)

As we enter The Next Transformation, the convergence of artificial intelligence, automation, digital platforms, and data-driven innovation continues to reshape the ways we live, work, and connect. Building on STIR’s long-standing tradition of critically examining technology through social theory, we invite submissions that explore how emerging digital trends both enable and constrain social change and reflect on technology’s role and position within broader social and cultural contexts.

We welcome theoretical, conceptual, and empirical work that applies social theory to understand and critique these evolving dynamics. Relevant frameworks include, but are not limited to, social presence theory, actor-network theory, sociomateriality, sociotechnical systems, practice theory, critical theory, adaptive structuration theory. gender socialization theory, institutional theory, governmentality, systems theory, and agency theory.

Call for Papers:

This year, we particularly encourage research that investigates the social implications of intelligent and data-centric systems:

• How do AI, automation, and digital infrastructures reshape, reproduce or resist existing social structures and power relations?

• In what ways can social theory illuminate the ethical, cultural, or political dimensions of emerging technologies?

• How do intelligent systems redefine and renegotiate the boundaries between humans and technologies, and what are the implications for agency and social relations?

• How do cultural and/or organizational contexts shape the acceptance and adaptation of AI and intelligent systems?

• How can theory-informed inquiry guide responsible innovation and equitable digital participation?

Topics of interest include (but are not limited to):

• Digital disparities, social inclusion, and the evolving digital divide

• Algorithmic governance and the politics of data and automation

• Unintended consequences of intelligent systems in organizations and everyday life

• Technology, labor, and the future of work

• Social entrepreneurship and sustainable technology-driven business models

• Sociotechnical assemblages and their impact on agency, power, and identity

• Ethical and social implications of AI, automation, and intelligent platforms

• Human–technology relations and the reconfiguration of boundaries and agency

STIR remains committed to fostering a space for high-quality, theory-driven dialogue and debate. We invite scholars to join us in exploring how social theory can deepen our understanding of technology’s transformative power and its potential to shape a more equitable digital future.

Important dates

January 4, 2026: Manuscript submissions begin

March 1, 2026: Submissions are due at 5:00 pm PST (Reno/Los Angeles)

Minitrack Chairs:

Dr. Howard Rosenbaum, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, Indiana, United States, hrosenba@iu.edu
Dr. Xiaohua Awa Zhu, School of Information Sciences, University of Tennessee, Knoxville, Tennessee, United States, awazhu@utk.edu
Shengnan Yang. Faculty of information and media study, Western University, london, Ontario, Canada, syang859@uwo.c

Centering Diversity Science in IS Research and Teaching

Diversity science is an interdisciplinary field of investigation that uses rigorous empirical methods to examine issues related to diversity, equity, inclusion, and belonging (DEIB). This mini track welcomes empirical and theoretical research that considers how innovative applications of theories and methods from the field of diversity science can be leveraged to address the lack of inclusion and broaden meaningful and influential participation of populations underrepresented in IS courses, majors, and careers. Underrepresented populations include women, racial and ethnic minorities, LGBTQIA+, neurodiverse, military, first-generation students, and those who are socioeconomically challenged. Potential topics of interest include but are not limited to: (1) creating cultures of inclusion and care in IS classrooms and workplace settings: (2) equitable and inclusive teaching and learning experiences; (3) inclusive mentoring and coaching; (4) leveraging AI to foster DEIB; (5) equitable access, success, and career pathways; and (6) systems thinking and equity-minded change strategies.

Call for Papers:

We invite submissions to our minitrack on “Centering Diversity Science in IS Research and Teaching” at AMCIS 2026. This track explores how diversity science can meaningfully broaden participation in Information Systems research, education, and professional practice.

We particularly welcome research that moves beyond problem identification to examine effective, evidence-based approaches to fostering inclusion and equity. Relevant topics include:

Inclusive IS classrooms and workplaces
Equitable teaching, mentoring, and career pathways
The role of AI in fostering or hindering equity and belonging
Systems thinking for equity-driven change

If your research aligns with these themes, we encourage you to submit your work before the deadline.

Minitrack Chairs:

Maylis Saigot, Business School, The University of Queensland, Brisbane, Australia, m.saigot@uq.edu.au
Timon Sengewald, Chair of Information Systems – Innovation & Value Creation, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nürnberg, Germany, timon.sengewald@fau.de
Pitso Tsibolane, Pitso Tsibolane Information System, University of Cape Town, Cape Town, Western Cape, South Africa, pitso.tsibolane@uct.ac.za

Disinformation, Corruption, and Digital Trust

Disinformation (false information disseminated to cause harm) takes many forms, e.g., fake news, audio-video impersonations, data falsification, etc. We focus on corruption and fraud allegations which once disambiguated will require immediate action to preserve democracy. An integrated strategy to fighting disinformation and corruption is necessary, requiring constant vigilance, due diligence, and collaboration in open-source intelligence (OSINT). Key issues include, but are not limited to:

Theoretical work with an integrated perspective on Disinformation and Corruption
Guidelines for Digital Trust to help fight against Disinformation and Corruption
Disinformation campaigns against politicians, especially targeting minority groups
Disambiguation of corruption allegations, and political communication strategies
Due diligence practices in democratic institutions to resolve disinformation cases
Use of open-source intelligence (OSINT) to disambiguate true/false allegations
Use of Artificial Intelligence (AI) to automate disambiguation, especially GPT

• Use of Knowledge Graphs (KG) to ensure formal analysis of true/false allegations

Call for Papers:

Dear Colleagues,

You are invited to submit your latest research to our new AMCIS 2026 Minitrack on “Disinformation, Corruption, and Digital Trust”, part of the Track “Social Inclusion and Socio-Technical Issues (SIG SI)”, which is sponsored by the Social Inclusion SIG within AIS.

Digital trust is not just an operational issue internal to organizations but must encompass any threats that may emerge and eventually disrupt trustworthy digital relationships.

Among rising challenges, fighting Disinformation and Corruption are key to all businesses and governments, requiring constant vigilance, due diligence, and collaboration in open-source intelligence (OSINT).

Trust must be founded onto an “emergent strategy” perspective, where a longer-term vision allows for better preparation to major crises. Top priorities are disinformation campaigns and unforeseen corruption and fraud charges, which threaten to breakdown democracy and orderly business-government relationships, especially contractual and procurement.

As well, trust must be defined beyond the organization’s traditional sources of data, information, knowledge, and insight. It must reach out to the very sources that may corrupt the decision-making process of the organization. As such, an inner-focused information architecture is bound to “leave many holes” as digital organizations are increasingly more open and porous than traditional ones. Hence, use of OSINT, Artificial Intelligence (AI), and Knowledge Graphs (KG) are crucial to automate the fight against threats to digital trust.

Finally, these issues are particularly acute in relation to Equity, Diversity and Inclusion (EDI) objectives. Indeed, vulnerable groups must deal with their own “trust issues” toward democratic institutions, as they are more frequent targets of disinformation (e.g., manipulation of voter opinions in ethic communities) or false allegations (e.g., elected officials from minority groups falsely accused of disloyalty or bias).

This AMCIS Minitrack aims to discuss these emerging issues and invites papers on:

Theoretical work with an integrated perspective on Disinformation and Corruption
Guidelines for Digital Trust to help fight against Disinformation and Corruption
Disinformation campaigns against politicians, especially targeting minority groups
Disambiguation of corruption allegations, and political communication strategies
Due diligence practices in democratic institutions to resolve disinformation cases
Use of open-source intelligence (OSINT) to disambiguate true/false allegations
Use of Artificial Intelligence (AI) to automate disambiguation, especially GPT
Use of Knowledge Graphs (KG) to ensure formal analysis of true/false allegations

Thanks for your consideration, and please feel free to email us for discussion.

Minitrack Chairs:

Romilla Syed, UNIVERSITY OF MASSACHUSETTS BOSTON, BOSTON, Massachusetts, United States, Romilla.Syed@umb.edu
Stéphane Gagnon, Dept. of Admin. Sciences, Université du Québec en Outaouais, Gatineau, Quebec, Canada, admin@gagnontech.org

Strategic & Competitive Uses of Information and Digital Technologies (SCUIDT)

Track Chairs:

Russell Torres, University of North Texas, russell.torres@unt.edu
Parisa Aasi, Texas A & M, paasi@mays.tamu.edu
Vess Johnson, University of North Texas, vess.johnson@unt.edu
Jack Becker, University of North Texas, jack.becker@unt.edu

Track Description:

Several AMCIS tracks focus on the uses of digital and information technologies in decision making. This track returns to the fundamentally important Strategic and Competitive Uses of Information and Digital Technologies (SCUIDT). The Information Age ushered in the use of information and digital technologies as a means of generating business value and gaining competitive advantage. Indeed, for many businesses today, success depends upon appropriate tactical and strategic uses of their information and digital technologies. The need for speed, efficiency, agility, and mobility continues to place information and digital technologies at the forefront of organizational strategies and tactics. Complementing this demand, is an increased interest in artificial intelligence (AI) and big data analytics, requiring organizations to consider the competitive implications of the data to which they have access. Submissions to the Strategic & Competitive Uses of Information and Digital Technologies track may include complete papers and research-in-progress (ERF). Papers may be conceptual, theoretical, or empirical research. Any research that focuses on the strategic and competitive use of information and digital technologies (SCUIDT) will find a home in this track.

Minitracks:

Human-AI collaboration and governance for responsible and sustainable digital ecosystems

As AI-driven digital transformation reshapes industries, organizations increasingly rely on interconnected data ecosystems that span cloud, edge, and decentralized architectures such as data meshes and lakehouses. These ecosystems are becoming critical engines of strategic differentiation, innovation, and competitive advantage, while also raising profound ethical, governance, and sustainability challenges.

This mini-track explores how AI acts as both enabler and participant in digital ecosystems, enhancing governance, automating or augmenting decision-making, and transforming the way organizations create value. We invite research that examines how these ecosystems can remain responsible, resilient, and sustainable while driving strategic innovation across sectors. Topics of interest include human-AI collaboration, human-in-the-loop governance, Green AI, ethical and interoperable AI, co-evolution and coopetition of ecosystems, and interdisciplinary frameworks for sustainable innovation.

By bridging information systems, AI governance, data and process science, and sustainability research, we provide a forum for researchers and practitioners to advance responsible, competitive, and future-ready digital ecosystems.

Call for Papers:

As digital transformation accelerates, the convergence of AI, data governance, and ecosystem thinking is reshaping how organizations create strategic value, build competitiveness, and sustain innovation advantage. Digital and data ecosystems are increasingly complex, spanning cloud, edge, and decentralized architectures such as data meshes and lakehouses, raising critical questions of trustworthiness, responsibility, and sustainability in AI integration.

This mini-track explores how AI acts as both a strategic enabler and active participant in digital and data ecosystems, augmenting governance, automating decision processes, and introducing new ethical, social, and managerial challenges. We invite studies that examine how these ecosystems can remain responsible, resilient, and sustainable, while enhancing organizational agility, competitiveness, and long-term strategic performance across sectors such as government, healthcare, finance, manufacturing, and education.

The track bridges perspectives from information systems, data science, AI governance, and sustainability research to understand how the strategic and responsible design and management of AI-driven data ecosystems can support long-term value creation, competitiveness, and societal transformation. We invite interdisciplinary contributions from fields such as computer science, management science, data science, process science, decision science, organizational design, policy-making, complexity, behavioral economics, and the social sciences. Submissions may include conceptual, design science, empirical, theoretical, or case-based studies, including literature reviews.

Topics of interest include but are not limited to:

AI for governance, accountability, and trustworthiness in digital and data ecosystems
Human–AI collaboration and human-in-the-loop approaches in data-driven governance, innovation, and decision-making
Responsible, sustainable, and strategically aligned management of AI-augmented data ecosystems, including Green AI
Governance and data management in emerging architectures (e.g., data mesh, data lakehouse), including data quality, transparency, and explainability
Transition from centralized to decentralized data architectures – organizational and design challenges; ethical, interoperable, observable, and explainable AI in connected and cross-sectoral data ecosystems; co-evolution of digital and data ecosystem components
Coopetition between digital and data ecosystems
Resilience, sustainability, and long-term governance of digital infrastructures
Socio-technical, organizational, and policy approaches to trustworthy and responsible data ecosystems
Emerging technologies (e.g., blockchain, edge computing, generative AI, digital twins, IoT, AR/VR) shaping responsible, sustainable, and energy- or resource-efficient strategic ecosystem innovation
Empirical studies and sectoral case analyses (e.g., healthcare, finance, government, education) on evolving AI-driven ecosystems
Design science, conceptual, and interdisciplinary frameworks for responsible, sustainable, and strategically effective data ecosystem innovation

This mini-track will serve as a platform for interdisciplinary dialogue on the critical role of responsible, sustainable, and strategically oriented digital and data ecosystems in driving competitive and societal innovation. Researchers and practitioners are invited to share insights, theoretical perspectives, and empirical findings in this rapidly evolving domain.

Relevance to AMCIS Conference: This mini-track aligns with AMCIS’s mission to foster discussion on emerging topics at the intersection of AI, data, governance, and digital innovation, and fits squarely within the Strategic and Competitive Uses of Information and Digital Technologies (SCUIDT) track. By examining how human–AI collaboration and responsible governance enhance the strategic and competitive potential of digital and data ecosystems, this track contributes to ongoing conversations on the ethical, sustainable, and societal implications of AI-driven transformation. It supports AMCIS’s broader goals of advancing responsible digital innovation, sustainable value creation, and interdisciplinary dialogue on the future of AI-enabled competitiveness.

Minitrack Chairs:

Associate professor Anastasija Nikiforova, Faculty of Science and Technology, Institute of Computer Science, University of Tartu, Tartu, Estonia, nikiforova.anastasija@gmail.com
Daniel Staegemann, Otto-von-Guericke University, Magdeburg, Germany, daniel.staegemann@ovgu.de
Asif Gill, School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia, asif.gill@uts.edu.au
Martin Lnenicka, University of Hradec Králové, Hradec Králové, Czech Republic, martin.lnenicka@uhk.cz
Dr George M Marakas, Department of Information Systems and Business Analytics, Florida International University, Miami, Florida, United States, gmarakas@fiu.edu
Dr. Michael Scialdone, Texas A&M University, College Station, Texas, United States, mscialdone@mays.tamu.edu

Strategic Impact of Digitized Products and Services on the Future of Business: Managerial and Technological Perspectives

The digital transformation has elevated the strategic role of digitized products and services in shaping the future of business. Understanding how companies can integrate these offerings into their strategies is crucial for staying competitive in a rapidly evolving marketplace.

This mini-track explores the critical intersections of managerial and technological perspectives, highlighting how companies can strategically leverage digitized offerings to innovate processes, reshape business models, and gain competitive advantages. The convergence of physical and digital components offers unprecedented opportunities for product and service innovation, but it also demands a strategic understanding of their implementation and value creation.

We invite research that examines the (long-term) impacts of digitized products and services on business strategies, operational efficiency, and customer experiences. We welcome contributions from diverse perspectives (e.g., information systems, business strategy or technology management) with a focus on how organizations can navigate the complexities of digital transformation to maximize strategic impact.

Call for Papers:

The mini-track focuses on complete papers and research-in-progress papers that can be conceptual, theoretical, empirical or case studies and investigate issues such as (but not limited to):

– Competitive benefits of big data analysis, smart products, and services

– The shift of value from physical artifacts to smart products

– Issues around IoT, CPS and their implementation in smart products and services

– Strategic business model transformation (service or product oriented)

– Digital innovation and achievement of competitive advantage

– Identification of strategic impact of digitizing products and services

– Challenges/Opportunities/Critical Success Factors

Minitrack Chairs:

Christian Leyh, THM Business School, Technische Hochschule Mittelhessen (THM) – University of Applied Sciences, Gießen, Germany, christian.leyh@w.thm.de
Thomas Schäffer, Heilbronn University of Applied Sciences, Heilbronn, Germany

AI, Digitization, and Strategic IT-enabled Capabilities

Artificial intelligence (AI), digitization, and IT capabilities are increasingly shaping firm success and innovation. In today’s era of advanced computing and data-driven transformation, firms must explore how AI and IT-enabled capabilities create strategic advantage through improved information management and decision-making. AI- and IT-enabled Information Management Capabilities (IMC) enhance firms’ ability to synthesize knowledge, adapt to dynamic market conditions, and foster digital innovation. The integration of AI expands these capabilities by automating insights, predicting customer needs, and supporting agile business processes. Recent global disruptions have tested existing business models while accelerating the adoption of AI and digital technologies across industries. These developments highlight the need to understand how firms design, govern, and leverage AI- and IT-enabled capabilities to achieve flexibility, resilience, and sustained competitive advantage in the digital era.

Minitrack Chairs:

Bidyut Hazarika, Western Michigan University, Kalamazoo, Michigan, United States Department of Innovation, RMIT Vietnam, Ho Chi Minh, Viet Nam, bidyut.hazarika@rmit.edu.vn
Utkarsh Shrivastava, Business Information Systems, Western Michigan University, Kalamazoo, Michigan, United States, utkarsh.shrivastava@wmich.edu
Mariana Andrade, Terry College of Business, The University of Georgia, Athens, Georgia, United States, andrade@uga.edu

IT and Data Governance in Digital Transformation

Information Technology (IT) plays a key role in digital companies. This role calls organizations to a specific focus on IT and data governance to achieve business value from investments in digital innovation and the consequent engagement in a digital transformation journey to create business value. Therefore, this requires the organization’s management to focus on having effective IT and data governance mechanisms that, as a result, will enable business-IT alignment and data-based decision-making. Indeed, business-IT alignment continues to be relevant for organizations due to its strategic benefits and contribution to improving their performance.

Accordingly, in the era of digital transformation, we noticed that the research in the strategic use of IT and data governance has continued to grow in importance; therefore, this track aims to explore new insights into the theories and practices in this research topic.

Minitrack Chairs:

Gianluigi Viscusi, Department of Management and Engineering (IEI) , Linköping University, Linköping , Sweden, gianluigi.viscusi@liu.se
Pauline Weritz, University of Twente, Industrial Engineering and Business Information Systems, Enschede, Netherlands, p.weritz@utwente.nl
Björn Johansson, Linköping University, Information Systems and Digitalization, Linköping, Sweden, bjorn.se.johansson@liu.se

Strategic Implications of Emerging Digital Technologies

We have seen the emergence of various streams of literature that examine how innovation is fostered by the generativity, recombination, and overall utility of emerging digital technologies such as generative AI, blockchain, digital twins, 3D printing, VR/AR, etc. The availability, accessibility, integration, pervasiveness, and embedded nature of these technologies are driving their rapid enterprise adoption. These technologies bring several powerful organizational capabilities that are different from capabilities provided by legacy technologies. We seek papers that contribute to and extend our understanding of how organizations, society, and government globally, strategically leverage emerging digital technologies within the information systems strategy and management literature. We also seek papers that further illustrate the importance of emergent digital technologies enabling socio-economic impacts as well as competitive advantages for organizations, society, and governments.

Minitrack Chairs:

Gideon Mekonnen Jonathan, Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden, gideon@dsv.su.se
Björn Johansson, Linköping University, Information Systems and Digitalization, Linköping, Sweden, bjorn.se.johansson@liu.se

Virtual Communities and Collaboration (VCC)

Track Chairs:

Tom Meservy, Brigham Young University, tmeservy@gmail.com
Langtao Chen, The University of Tulsa, langtao-chen@utulsa.edu
Fiona Nah, Singapore Management University, fionanah@smu.edu.sg
Chee-Wee Tan, Hong Kong Polytechnic University, chee-wee.tan@polyu.edu.hk

Track Description:

The goal of the Virtual Communities and Collaboration track is to disseminate research and extend our knowledge of how collaboration manifests in virtual communities. Virtual communities constitute groups of individuals who interact and pursue mutual goals within computer-mediated environments. Due to their pervasiveness across digital spaces, ranging from crowd platforms to social media to virtual worlds, organizations are harnessing the collective wisdom of virtual communities to improve business processes and bolster firm performance. Consequently, there is a pressing need for researchers and practitioners to address cognitive, behavioral, social, and technical issues in such virtual collaborative environments. Research areas range from design issues in collaborative environments to the sense of community and engagement in virtual communities, as well as the impact of virtual communities and collaboration in multiple domains. This track aims to solicit contributions from a range of ontological and epistemological perspectives to not only deepen our understanding of virtual communities and collaboration but also enhance the theoretical foundation for research, share insightful empirical findings related to these venues, and provide guidance to practitioners. Potential topics:
– Individual and group behaviors, processes, and governance mechanisms in virtual communities and collaboration
– Design, development, deployment, and evaluation of virtual communities in business, educational, and governmental settings
– Collaboration for knowledge sharing and learning within virtual communities
– Ethics, privacy, security, and trust issues in virtual communities and collaboration
– Human-AI interaction in the context of virtual communities and collaboration
– Value creation and capturing in virtual communities associated with crowd platforms, social media, and virtual worlds
– Individual, organizational, and societal impacts of social collaboration in virtual communities
– Big data and social analytics of virtual communities and collaboration
– Practical implications of augmented, mixed, and virtual reality in collaborative contexts
– Theoretical and/or methodological advances in virtual communities and collaboration

Mini-Tracks:

Value Appropriation and Creation in Virtual Collaborative Environments

Virtual communities have emerged as a game-changing collaboration paradigm that facilitates interactions among individuals, groups, and organizations in the pursuit of mutual goals. As virtual communities reshape the boundaries and structures of human collaborations, comprehending human behaviors in online environments and deriving design considerations for digital services that optimize collaborative practices is imperative for realizing collaboration in the virtual space.

This mini-track provides a forum for the exchange of research ideas and business practices on the interplay of human behaviors and virtual collaborative environments at the individual, group, organization, and societal levels. It aims to expand our knowledge on how technologies govern and shape human behaviors in virtual communities as well as how such technology-mediated human behaviors, in turn, inform the design of virtual collaborative environments. We are particularly interested in research that sheds light on how digital services contribute to value appropriation and creation in virtual collaborative environments.

Call for Papers:

We invite submissions to the Value Appropriation and Creation in Virtual Collaborative Environments mini-track at the Americas Conference on Information Systems (AMCIS) 2026 to be held in Reno, Nevada.

Virtual communities are reshaping the way we communicate and collaborate with one another, shifting us from spatial- and temporal-confined interactions towards fluid peer-to-peer marketplaces and other firm-market hybrids. The virtual collaboration paradigm has sprung up to facilitate both individuals and/or organizations in pooling resources for the pursuit of mutual goals. For instance, we crowdfund innovation from Kickstarter, staff projects through Amazon’s Mechanical Turk, incubate products from open-source designs acquired through micro-manufacturers like FirstBuild, organize virtual meetings using WebEx, and work with team members via Asana. As virtual communities redefine the boundaries and structures of human collaborations, comprehending human behaviors in digital environments and deriving design considerations for digital services that optimize collaborative processes is imperative for realizing collaboration in the virtual space.

This mini-track embraces both retrospective and progressive views on behavioral and design issues related to virtual collaborative environment. Particularly, we are interested in research that unravels the interplay of human behaviors and virtual collaborative environment at the individual, group, organization, and societal levels as well as the intersection across levels. Contributions to this mini-track should expand our knowledge on how technologies govern and shape human behaviors in virtual communities as well as how such technology-mediated human behaviors, in turn, inform the design of virtual collaborative platforms. We welcome both theoretical and empirical contributions that explore how digital services can be designed to appropriate and create value in virtual collaborative environments, especially those that subscribe to inter-disciplinary perspectives and/or adopt mixed methods.

Topics of interest include but are not limited to:

*Influence of individual and collective behaviors on the design and usage of virtual collaborative platforms

*Influence of virtual collaborative platforms on individual behaviors, group dynamics, as well as organizational norms and policies

*Influence of political and socio-economic factors on human behaviors associated with virtual collaboration

*Patterns of human/human-machine interactions and how digital services can be leveraged to support such interactions

*Role of individual behaviors in shaping collective outcome on virtual collaborative platforms

*Data-driven design of virtual collaborative platforms

*Design of business processes and workflow in virtual collaborations*Design of communication interfaces and digital assistants on virtual collaborative platforms

*Design of recommendation systems on virtual collaborative platforms

*Design of reputation systems on virtual collaborative platforms

*Design of assessment tools on collaborative outcome and individuals’ contributions on virtual collaborative platforms

*Design modalities, principles, and processes for virtual collaborative platforms

*Evaluation of system design for virtual collaborative platforms

*Virtual collaboration for ongoing pro-social movement

*Virtual collaboration in support of emergency crisis management

*Swift transition between traditional collaboration and virtual collaboration in post-pandemic period

*Virtual collaboration for open strategizing and open innovation

*Virtual collaboration, management and practices for emerging virtual commerce

*Virtual collaboration for social movement (e.g. social media protest)

Mini-track Contributions:

The virtual community is rapidly shaping up to be a revolutionary interworking phenomenon by disrupting conventional channels of human interaction. Consequently, an in-depth appreciation of the interactions among individuals, groups, and organizations in virtual communities as well as the interplay of human behaviors and virtual collaborative environment constitutes an increasingly important area of research in information systems. The ‘Value Appropriation and Creation in Virtual Collaborative Environments’ mini-track thereby contributes to the ‘Virtual Communities and Collaboration’ track by providing a forum for the exchange of research ideas and business practices on both behavioral and design research associated with virtual communities based on collaborative platforms. It aims to expand our knowledge on the interplay between digital services and human behaviors in virtual collaborative environments, which in turn contributes to the purposeful and targeted design of platforms for supporting virtual collaborative practices.

Minitrack Chairs:

Dr Zhengzhi Guan, Faculty of Business and Management, Beijing Normal-Hong Kong Baptist University, Zhuhai, China, zhengzhiguan@uic.edu.cn
Boying Li, Nottingham University Business School (China), Ningo, Zhejiang, China, Boying.Li@nottingham.edu.cn
Dr Fangfang Hou, International Business School Suzhou, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, China, fangfang.hou@xjtlu.edu.cn

Augmented, Mixed, and Virtual Reality for Collaboration

Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR) technologies are transforming the way people collaborate by creating immersive, interactive virtual environments. These technologies enable participants to work together in realistic simulations, enhancing engagement and understanding in collaborative activities. AR, MR, and VR have potential applications across sectors, including business, education, healthcare, and entertainment, providing unique opportunities to enhance virtual communication, training, and creativity. However, the use of immersive technologies for collaboration brings challenges such as usability, accessibility, and user adaptation that must be addressed to harness their full potential.

This mini-track aims to explore how AR, MR, and VR technologies can enhance collaboration in virtual environments. It seeks to investigate the applications and impacts of these technologies on collaboration, examine user experience and engagement, and identify the challenges and opportunities they present for fostering effective teamwork.

Minitrack Chairs:

Teng Ma, Department of Computing, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, China, teng.ma@xjtlu.edu.cn
Mengyao Fu, Deakin University, Melbourne, Australia, m.fu@deakin.edu.au;
Fang Cao, Hunan University, Changsha, China, caofang@hnu.edu.cn

AI for Social Good: Inclusion, Support, and Safety in Virtual Communities

Artificial Intelligence (AI) holds transformative potential for advancing social goods in virtual communities, especially in promoting inclusion, supporting marginalized groups, as well as combating online violence such as cyberbullying and harassment. This mini-track delves into how AI-driven tools and platforms can foster safer, more equitable, and supportive digital environments. We welcome research that explores the design, implementation, and impact of AI technologies in boosting social welfare, empowering vulnerable populations, and crafting more inclusive virtual spaces. Topics include AI-mediated support systems, ethical AI deployment, and the role of virtual communities in facilitating social good.

Call for Papers:

We invite submissions to the ‘AI for Social Good’ mini-track at the Americas Conference on Information Systems (AMCIS) 2026 in Reno, Nevada, USA, August 20-22, 2026.

Artificial Intelligence (AI) is increasingly being deployed to address social challenges within virtual communities, which range from battling prejudices, bolstering inclusivity, supporting marginalized groups to detecting and mitigating online aggression in the likes of cyberbullying, harassment, and hate speech. This mini-track aims to bring together scholars and practitioners to explore how AI can be designed and deployed to promote social goods in digital spaces. We are particularly interested in research that addresses how AI can aid in creating more inclusive virtual communities, support mental health and well-being, as well as protect users from online violence. We welcome both theoretical and empirical contributions that advance our understanding of AI’s role in fostering social good through virtual platforms.

Topics of interest include, but are not limited to:

AI-driven tools for detecting and mitigating online aggression
Virtual support communities for marginalized groups (e.g., individuals with disabilities)
AI-enabled mental health support systems in virtual environments
Ethical and inclusive design of AI in virtual collaborative platforms
Role of AI in promoting digital accessibility and inclusion
AI-mediated moderation systems for safer online interactions
User experiences and trust in AI-for-good applications
Policy and governance of AI for social good in virtual spaces
AI and algorithmic fairness in community management
Case studies of AI deployment for safety and social support in virtual communities
Human-AI collaboration in fostering inclusive digital cultures
Impact of AI on community cohesion and social capital

We encourage submissions from diverse methodological traditions, including qualitative, quantitative, design science, and mixed-methods approaches.

Minitrack Chairs:

Xiao Zeng, Department of Management and Marketing, Faculty of Business, The Hong Kong Polytechnic University, Hong Kong, China, xiao-tracy.zeng@polyu.edu.hk
Xiaohui Liu, Business School, University of Shanghai for Science and Technology, Shanghai, China, xiaohuiliu23@usst.edu.cn
Yuting Jiang, Department of Management, Technology and Strategy, Grenoble École de Management, Grenoble City, France, yuting.jiang@grenoble-em.com

Behavioral and Design Issues in Virtual Communities

A lot of research in the information systems discipline is comprised of two paradigms: the behavioral-science paradigm and the design-science paradigm. In AI-enabled virtual communities or metaverse, humans and organizations utilize technology to maintain relationships and social networks in order to pursue mutual goals and interests. While the process of constructing and evaluating innovative IT artifacts enables design-science researchers to understand the problem addressed by the artifacts and the feasibility of the approach to the solutions, the behavioral-science researchers evaluate the outcomes and implications of technology use. Behavioral and design science paradigms serve as a complete research cycle in IS research. Therefore, mixed research relating to behavioral and design science can help to increase our understanding of virtual communities. We welcome research addressing behavioral issues, design issues or a mixed stream of both to make theoretical contributions and practical implications in the area of virtual communities.

Call for Papers:

Important dates:

January 4, 2026: Manuscript submissions begin

March 1, 2026: Submissions are due at 5:00 pm PST (Reno/Los Angeles)

Minitrack Chairs:

Xusen Cheng, Renmin University of China, Beijing, China, xusen.cheng@ruc.edu.cn
Xiangbin Yan, University of Science and Technology Beijing, Beijing, China, xbyan@ustb.edu.cn