Track Chairs:

Miguel Aguirre-Urreta

miaguirr@fiu.edu 

Miguel I. Aguirre-Urreta is a Full Professor in the Department of Information Systems and Business Analytics, College of Business, at Florida International University, and the Director of Doctoral Programs for the College. Before joining FIU, he was on the faculty at Texas Tech University and DePaul University. Miguel received his Ph.D. in Information Systems from the University of Kansas, and his MBA in Information Systems and Finance from the Kelley School of Business at Indiana University. His undergraduate degree is in public accounting from the Universidad de Buenos Aires, in Argentina. Before entering academia, he was an auditor with Arthur Andersen and an external reporting analyst with Movicom Bellsouth. Miguel is interested in quantitative research methods, computer self-efficacy, human–computer interaction, technology acceptance and diffusion, and data science. He is also a past chair of the AIS Special Interest Group on Human-Computer Interaction. His research has appeared or is forthcoming at MIS Quarterly, Information Systems Research, Communications of the AIS, Research Synthesis Methods, IEEE Software, Measurement, and The DATA BASE for Advances in Information Systems, among others.

Andreas Eckhardt

andreas.eckhardt@uibk.ac.at 

Andreas Eckhardt is a Full Professor of Information Systems at the University of Innsbruck, a position he has held since October 2020. His research focuses on the digital transformation of organizations and societies, cybersecurity, ethical IS development and design, and the distribution of misinformation in social media. He has chaired tracks and held multiple positions in the conference committees of major IS conferences (e.g., ICIS, ECIS, AMCIS, and WI). Currently, he is a Senior Editor for the ISJ and serves on the editorial board of AIS THCI. Additionally, he is Past Chair of the AIS Special Interest Group on Adoption and Diffusion of Information Technology (SIGADIT), as well as a past member of the AIS Diversity & Inclusion Committee.

Fiona Fui-Hoon Nah

fionanah@smu.edu.sg 

Fiona Fui-Hoon Nah is a Full Professor of Information Systems at the Singapore Management University. She is an AIS Fellow and the Editor-in-chief of the AIS Transactions on Human-Computer Interaction. She received the AMCIS Outstanding Conference Service Leadership Award in 2025, the Top 50 Asia Women Tech Leaders Award in 2024, and the Sandra Slaughter Service Award in 2021. She was recognized as the Best Associate Editor for the Human Computer/Robot Interaction Track at ICIS 2022. She received her Ph.D. in Management Information Systems from the University of British Columbia. Her research interests include human-computer interaction, human-AI collaboration, NeuroIS, usable security and privacy, and the metaverse. Her publications have appeared in premier journals such as MIS Quarterly, Journal of the Association for Information Systems, Journal of Management Information Systems, Information & Management, and Decision Support Systems.

Track Description:

The General IS Topics track is intended for high-quality papers on topics that do not have a specific fit with other tracks or have a very comprehensive, cross-thematic scope. The track aims to attract unique and novel papers and give an additional degree of freedom to the conference’s specific tracks, from an epistemological, ontological as well as methodological standpoint. Papers on cutting edge technologies (e.g., quantum) that have varied implications that go beyond the confines of other tracks could also be relevant for this track. Please check the fit of your paper with other tracks’ topics before submitting your paper to this track. We welcome submissions on AI and related topics to the extent that those are also not more closely related to other track domains. The General IS Topics track also provides the chairs of other tracks the opportunity to submit their manuscripts.

Topics of interest include, but are not limited to:

• Information Systems research that does not fit with any other track.

Associate Editors:

• Manjul Gupta, Florida International University, USA
• Ryan Schuetzler, Brigham Young University, USA
• Eleanor Loiacono, College of William & Mary, USA
• Yan Chen, Florida International University, USA
• Alexandre Graeml, Universidade Tecnológica Federal do Paraná, Brazil
• Gaurav Bansal, Ohio University, USA
• Wietske Van Osch, HEC Montreal, Canada
• Michel Avital, Copenhagen Business School, Denmark
• Khim Yong Goh, National University of Singapore, Singapore
• Nan Hu, Singapore Management University, Singapore
• Spyros Angelopoulos, Durham University, United Kingdom
• Weiyin Hong, Hong Kong University of Science and Technology, Hong Kong SAR
• Federico Iannacci, University of Sussex, England
• Sutirtha Chatterjee, University of Nevada, USA
• Nils Augustin, City University Hong Kong, China / Hong Kong
• Victoria Reibenspiess, Wake Forest University, USA
• Ralf Plattfaut, University of Duisburg-Essen, Germany
• Khalid Durani, Heinrich Heine University Düsseldorf, Germany
• Brittany Green, University of Louisville, USA
• Spyros Angelopoulos, Durham University, England
• Carol Ou, Tillburg University, Netherlands
• Anushri Gupta, IIM Ahmedabad, India
• Aqib Siddiqui, London School of Economics, UK
• Magda David Hercheui, University College London, UK
• Morteza Namvar, University of Queensland, Australia
• Karla Sayegh, University of Cambridge, UK
• Aurelie Dudezert,  Institut Mines-Télécom, France

• Anand Jeyaraj, Wright State University, USA

• Avijit Sengupta, University of Queensland, Australia
• Shengjun Mao, University of Hong Kong, China / Hong Kong
• Yao Zhao, University of Queensland, Australia 
• Ekaterina Jussupow, Technical University of Darmstadt, Germany
• Stefan Tams, HEC Montreal, Canada

Track Chairs:

Ting Li

tli@rsm.nl 

Ting Li is a Professor of Digital Business at Rotterdam School of Management (RSM), Erasmus University, and serves as the Head of the Information Systems group. She is a founding member and the Academic Director of Digital Business Practice at the Erasmus Centre for Data Analytics and leads the Immersive Tech & AI Lab. Her research focuses on the strategic use of information and its economic impacts on consumer behavior and firm strategy. Her interests span areas such as the economics of information technology, digital marketing, online platforms, AI and decision-making, and emerging technologies, including AR, VR, NFTs, and Web3. Ting Li’s work has been published in leading journals such as Management Science, MIS Quarterly, Information Systems Research, Nature Communications, Production and Operations Management, and Harvard Business Review. Her interdisciplinary research has been supported by multiple grants from national science foundations and multinational corporations. In 2017, she was recognized by Poets & Quants as one of the Top 40 Professors Under 40 Worldwide.

Kevin Desouza

kevin.c.desouza@gmail.com 

Kevin C. Desouza is a Professor of Business, Technology and Strategy in the School of Management at the QUT Business School. He is a Nonresident Senior Fellow in the Governance Studies Program at the Brookings Institution and is a Distinguished Research Fellow at the China Institute for Urban Governance at Shanghai Jiao Tong UniversityDesouza has authored, co-authored, and/or edited nine books. He has published more than 130 articles in journals across a range of disciplines including information systems, information science, public administration, political science, technology management, and urban affairs. A number of outlets have featured his work including Sloan Management Review, Stanford Social Innovation Research, Harvard Business Review, Forbes, Businessweek, Wired, Governing, Slate.com, Wall Street Journal, USA Today, NPR, PBS, and Computerworld. Desouza has advised, briefed, and/or consulted for major international corporations, non-governmental organizations, and public agencies. Desouza has received over $1.8 million in research funding from both private and government organizations.

Sirkka Jarvenpaa

sirkka.jarvenpaa@mccombs.utexas.edu 

Sirkka L. Jarvenpaa is a professor in the Department of Information, Risk, and Operations Management in the McCombs School of Business at The University of Texas at Austin. She holds the James L. Bayless/Rauscher Pierce Refsnes Inc. Chair in Business Administration. Her research and teaching interests include global information technology, group and organizational decision support systems, and strategic use of information technology. She received her B.S. from Bowling Green State University and her MBA and Ph.D. from the University of Minnesota.

Reza M. Baygi

r.m.baygi@vu.nl

Reza M. Baygi is an Assistant Professor at the School of Business and Economics, Vrije Universiteit (VU) Amsterdam. He holds a PhD in Business Administration from ESSEC Business School, Paris. His research explores the role of emerging technologies in transforming work, organizing, and activism. He approaches these topics through practice and process perspectives, with a particular focus on temporality and the dynamic flow of human-technology relations. His work, advancing a flow-oriented view of human-technology relations, has been published in MIS Quarterly, Strategic Organization, and Business & Information Systems Engineering.

Track Description:

Technological developments, most notably advances in artificial intelligence (AI), continue to reshape work design, performance, and management at the individual, team, organizational, and societal levels. As organizations increasingly digitalize work and embed AI into everyday processes, the established structures and norms of office work routines are transforming. The nature of work is becoming increasingly contingent, mobile, and flexible, often mediated by digital platforms and intelligent systems.

New technologies (including but not limited to AI) have enabled changes in the temporality and spatiality of work with many consequences deserving study. Exemplars of contemporary work structures include remote and nomadic work, the four-day workweek, globally distributed project work, crowdsourcing, and on-demand freelance work increasingly coordinated, supported, or evaluated by AI-enabled platforms.

The automation and augmentation of work with AI technologies, including generative AI, agentic systems, and advanced analytics, alongside virtual reality and blockchain, are transforming work as humans are replaced by, or work alongside, ever more capable algorithms, digital agents, and robots. In many settings, AI systems generate content, support or substitute for expert judgment, allocate tasks, and monitor performance. Some workers are concerned that whole classes of jobs, occupations and professions may become obsolete, while demand for other occupations grows at an increasing rate. Other workers and organizations, on the other hand, are excited about the opportunities these AI technologies create for improving efficiency, enabling new forms of creativity and knowledge work, and strengthening innovative and competitive capabilities.

Workers will need to adapt their skill portfolios to remain employable and to manage their careers in an increasingly AI-mediated labor market, including learning how to collaborate with, supervise, and rely on generative and agentic systems. Organizations will need to manage their human capital portfolios to capitalize on increasingly sophisticated automation and autonomization, while maintaining the skills required to design, govern, and coordinate work performed by humans and AI systems. At the same time, the meaning of work and employment is shifting as digital natives become a dominant force in modern organizations and as AI reshapes expectations around expertise, autonomy, and responsibility.

Beyond organizations, the diffusion of AI into work raises broader societal and public policy questions related to labor market regulation, education and reskilling, data rights, transparency, accountability, and fairness in algorithmic decision-making. These issues highlight the importance of research that connects organizational perspectives with institutional and policy approaches to the future of work.

We welcome submissions that take a broad perspective on technology and the future of work. We seek submissions using a variety of theoretical and methodological approaches that examine these phenomena across levels of analysis, including tasks, individuals, organizations, labor markets, and society.

Topics of interest include, but are not limited to:

• Work in the context of the Fourth Industrial Revolution
• Automation and augmentation of work
• Generative AI and agentic systems in work design and execution
• Human–AI collaboration, coordination, and control
• Algorithmic management, people analytics, and AI-based decision systems
• Digitalization, AI, and job mobility
• Emerging and shifting skill portfolios in AI-intensive workplaces
• Reskilling and professional development for AI-mediated work
• Emerging careers and career patterns shaped by AI
• Freelancing, crowd work, and platform labor mediated by AI
• Lived experience of working with AI in digital and remote workplaces
• Managing professional obsolescence in the age of AI
• Characteristics of the IT and AI workforce
• Meaning of work in AI-mediated digital workplaces
• Mobile and nomadic work supported by AI technologies
• New AI-enabled work arrangements and organizing forms
• Leadership and teamwork in AI-augmented environments
• Self-organized work in decentralized and algorithmically governed organizations
• Virtual, hybrid and remote work, AI agents, and the metaverse
• Work culture in data-driven and AI-intensive milieus
• Public policy, regulation, and governance of AI and digital labor

Associate Editors:

• Aaron Cheng, London School of Economics, UK
• Aleksandre Asatianini, University of Gothenburg, Sweden
• Andy Tao Li, University of Science and Technology of China, China
• Christopher Buck, University of Applied Sciences Augsburg, Germany
• Efpraxia Zamani, Durham University, UK
• Emma Forsgren, Leeds University, UK
• Jack Tong, NTU, Singapore
• Jing Gong, University of Virginia, USA
• Joschka Hüllmann, University of Twente, Netherlands
• Kiron Ravindran, IE University, Spain
• Louise Harder Fischer, IT University of Copenhagen, Denmark
• Martin Quinn, Erasmus University Rotterdam, Netherlands
• Mary Beth Watson-Manheim, University of Illinois, Chicago, USA
• Richard Watson, Retired, Australia
• Sen Li, Bentley University, USA
• Tamara Thuis, Free University Amsterdam, Netherlands
• Ulrich Laitenberger, Tilburg University, Netherlands
• Wen Wen, The University of Texas at Austin, USA
• Xueyan Yin, City University of Hong Kong, China
• Yancong Xie, RMIT, Australia
• Yumei He, Tulane University, USA
• Zherui Yang, IE Business School, Spain
• Stéphanie Missonier, University of Lausanne, Switzerland
• Angela Aristidou, University College London, England
• Gongtai Wang, University of Warwick, England
• Nicola Berg, IT-University Copenhagen, Denmark
• Cathy Yang, HEC Paris, France
• Dainis Zegners, Rotterdam School of Management, Netherlands
• Lin Hu, Australian National University, Australia
• Francesco Balocco, Vrije Universiteit Amsterdam, Netherlands
• Xiaohui Zhang, University of Wisconsin Milwaukee, USA
• Kun Li, Australian National University, Australia
• Ying Liu, University of Massachusetts Amherst, USA
• Xuewen Han, Shanghai Jiaotong University, China
• Savvas Papagiannidis, Newcastle University, England

Track Chairs:

 Angsana Techatassanasoontorn

angsana.techatassanasoontorn@aut.ac.nz 

Angsana A. Techatassanasoontorn is a professor of information systems at the Auckland University of Technology. She takes a human-centric approach to her scholarly work, with a lifelong goal of cultivating a human-centered purpose for digital technology for all. Her pri-mary fields of interest are human values and digital innovation, digital technology in the pub-lic interest, and emerging technologies and sociodigital futures. Her work has been published in the AIS Transactions on HCI, Decision Support Systems, Information & Management, In-formation Systems Journal, Journal of the Association for Information Systems, Journal of In-formation Technology, and other reputable outlets. She currently serves as a senior editor for Information Systems Journal and Australasian Journal of Information Systems. Her research has been supported by grants from the Association for Computing Machinery (ACM), the Commonwealth Fund Foundation, the NZ Health Research Council, Microsoft, the U.S. Na-tional Science Foundation, and Qualcomm, among others.

Stefan Seidel

stefan.seidel@wiso.uni-koeln.de

Stefan Seidel is Professor of Information Systems at the University of Cologne. He studies how emerging digital technologies—such as artificial intelligence—shape and are shaped by organizational and institutional change, focusing on digital transformation and innovation as well as their governance and regulation. Stefan’s work has been published in leading journals, including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, and several others. He is a Senior Editor for MIS Quarterly.

Terence Saldanha

Terence.Saldanha@uga.edu 

Terence Saldanha is an associate professor of management information systems and the Becky and Howard Young Distinguished Professor in the Terry College of Business at the University of Georgia. His research is published in journals such as MIS Quarterly, Infor-mation Systems Research, Journal of Management Information Systems, Journal of the Associ-ation for Information Systems, Journal of Operations Management, and Production and Oper-ations Management, among others. His research interests include the strategic impacts of In-formation Systems on organizational outcomes such as innovation and sustainability. Terence currently serves as a Senior Editor at Production and Operations Management, and as a mem-ber of the Editorial Review Board at Information Systems Research. He earned a Ph.D. in management information systems from ]Ross School of Business at the University of Michi-gan. His prior degrees include an M.B.A. from S.P. Jain Institute of Management and Re-search (India), and a bachelor’s in electronics engineering from University of Mumbai (India). Prior to his graduate studies, he worked in the IT industry in the area of software develop-ment and design.

Jiyong Park

jiyong.park@uga.edu 

Jiyong Park is an Assistant Professor of Management Information Systems in the Terry College of Business at the University of Georgia. He earned his Ph.D. in Management Engineering from the Korea Advanced Institute of Science and Technology (KAIST). His research focuses on digital sustainability, with particular emphasis on Green IS, the societal impacts of digital platforms, and the future of work. His work has appeared in leading journals such as Management Science, MIS Quarterly, Information Systems Research, and Journal of the Association for Information Systems. Jiyong serves as an Associate Editor at Information & Management, Decision Support Systems, and Decision Sciences Journal.

Track Description:

Information systems (IS) and their underlying digital technologies play a dual role in relation to environmental sustainability. On the one hand, sustainability-related challenges and envi-ronmental concerns have become increasingly prominent in discussions of technological development and adoption, fueled by recent developments around artificial intelligence (AI), blockchain, and Internet of Things (IoT) technologies. For instance, the explosion of AI has resulted in the construction of global data centers where solar, wind, and hydroelectric pow-er need to be harnessed to create shared computation pools. The production, operation, and widespread use of digital innovations contribute to resource depletion, high energy consump-tion, and electronic waste, raising critical questions about long-term ecological impacts. Moreover, the rapid pace of technological advancement can exacerbate issues such as carbon emissions and the excessive consumption of natural resources.

On the other hand, IS can help individual actors, organizations, governments, and society to address environmental concerns. By increasing information-processing capacity, enhancing connectivity, and providing ever better predictive capabilities, digital technologies offer the informational, predictive, and action-oriented capabilities needed to maintain environmental services by reducing resource consumption, avoiding waste and emissions, and implementing the circular economy. Organizations use IS to track their environmental impacts and design and implement more sustainable processes and supply chains. For example, IoT technologies provide opportunities for implementing increasingly efficient “smart” systems, such as smart buildings, smart cities, smart manufacturing, smart farming, and smart mobility, to name just a few. Climate researchers use digital technologies such as large-scale simulations and AI to improve climate predictions. Material scientists use AI-based systems to develop more environmentally friendly materials and products. Governments can use IS to implement, monitor, and assess regulations for environmental protection.

While this dual role of information systems as both a contributor and a potential solution to environmental concerns creates tensions and tradeoffs, recent discourse has suggested that the two transformations of our time—the digital transformation and the sustainability trans-formation—are in fact two sides of the same coin. The “twin transformation” focuses on the synergies that can be leveraged between the two, such as when an organization uses digital transformation to improve sustainability while, at the same time, focuses on goals and in-sights from sustainability transformations to drive digital innovation.

IS are essential for addressing global sustainability challenges, fostering a sustainable future, and protecting our fragile natural environment. The information systems field is uniquely positioned to address the environmental challenges arising from the pervasive use of digital technologies in the digital age and to build the conceptual and practical foundations for leveraging these same technologies to advance innovation and sustainability. Our field not only studies socio-technical systems, but indeed eco-socio-technical systems, reflecting the diver-sity of complementary goals articulated in the 17 Sustainable Development Goals (SDGs) introduced by the United Nations to define the global Agenda for 2030—ranging from pri-marily social goals (e.g., no poverty, good health and well-being) to economic goals (e.g., industry, innovation, and infrastructure) and environmental goals (e.g., climate action, life below water, and life on land). While the focus of this track is on environmental issues, the SDGs emphasize the interconnectedness of environmental, social, and economic dimensions of sustainable development.

This track invites papers that develop theoretical understanding and practical insights into addressing sustainability and environmental issues with digital technologies. We invite empirical and conceptual research papers exploring the design, development, use, and impact of digital technologies, from individual, community, organization, government, or society perspectives. We welcome indigenous perspectives and diverse methodological approaches.

Topics of interest include, but are not limited to:

• Roles of information systems and digital technologies in promoting specific sustainable development goals within organizations, communities, and nations.
• Roles of digital technologies in transition pathways to environmental sustainability.
• Creative socio-technical innovations around sustainability and environmental impacts.
• Implementing, adopting, and governing impactful digital sustainability initiatives in organizational, community, and national contexts.
• Implementing, adopting, and governing twin transformation initiatives in organizations.
• Indigenous perspectives on digital technologies, environmental stewardship, and climate justice.
• Impact of digital transformation on sustainability and environmental issues.
• Environmental consequences of digital technology development and implementation.
• Enablers and barriers to achieving sustainable development goals from information sys-tems and digital technologies.
• Innovative applications of advanced or emerging technologies (e.g., Blockchain, AI, IoT) to enhance sustainability and address environmental issues.
• Roles of information systems and digital technologies in sustainable supply chain management initiatives and decarbonization.
• Adoption, implementation and impacts of IS-enabled circular economy initiatives.
• The role of environmental sustainability in regulating emerging technologies.
• Organizational and managerial governance to address the tradeoff regarding the role of IS in contributing to and serving as a solution to environmental issues.

Associate Editors:

• Philipp Staudt, University of Oldenburg, Germany
• Marina Fiedler, Unviersity of Passau, Germany
• Tamara Roth, University of Arkansas, USA
• Chadi Aoun, Carnegie Mellon University, Qatar
• Kenan Degirmenci, Queensland University of Technology, Australia
• Aymeric Hemon-Hildgen, University of Nantes, France
• Jyoti L Mishra, University of Leeds, UK
• John Rios, University of Georgia, USA
• Juuli Lumivalo, University of Jyväskylä, Finland
• Marc Cheong, University of Melbourne, Australia
• Narges Safari, Macquarie University, Australia
• Christine Tan, Massey University, New Zealand
• Mumin Abubakre, Loughborough University, UK
• Caroline Khene, Institute of Development Studies, UK
• Phil (Zhongyun) Zhou, Tongji University, China
• Daniel Rush, Boise State University, USA
• Rohit Nishant, Queens University Belfast, UK
• Nigel Melville, University of Michigan, USA
• Pratyush Bharati, University of Massachussets Boston, USA
• Onkar Malgonde, North Carolina State University, USA
• Ramin Ahadi, University of Cologne, Germany
• Roya Gholami, University of Illinois, Springfield, USA
• Marie-Claude Boudreau, University of Georgia, USA
• Andrew Isaak, University of Wuppertal, Germany
• Thomas Grisold, University of St. Gallen, Switzerland
• Sherah Kurnia, The University of Melbourne, Australia
• Say Yen Teoh, RMIT University, Australia 
• Sung Joo Kim, American University, USA 

Track Chairs:

Marie Griffiths

Professor Marie Griffiths: Marie is Professor in Digital Technologies at Salford Business School, UK. Marie’s research sits within Digital Transformation and Information Systems and she bridges academia and industry through sustained scholarship, knowledge exchange, shaping innovative PG programme delivery. Marie is trustee as a homelessness charity, Emmaus Salford.

Dirk S. Hovorka

Dirk S. Hovorka is a Professor in the Business Information Systems discipline at the University of Sydney, Australia. He received his PhD in Information Systems from the University of Colorado and holds an MS in Interdisciplinary Telecommunications and an MS in Geology. His current research explores how scientific and societal practices bring forth possible worlds through theory, design, and imaginaries of futures. His research focuses on speculative approaches to ‘knowing’ regarding technology, society, and biophysical environments in recognition that the future is implacably resistant to direct observation, and that unprecedented sociotechnical change renders our knowledge about the past less indicative of future states. His work emphasizes speculation and imagination in thinking with futures. Dirk is Senior Editor at JAIS (Research Perspectives), Editorial Board Member of ISR, and Co-chair of the HICSS ” Futuring and Future Epistemologies in IS” mini-track. He is an honouree of the Beta Gamma Sigma Professor of the Year, the Wayne Lonergan Award for Outstanding Teaching, the Dean’s Award for Teaching and has numerous Teaching Citations.

Nachiketa Sahoo

Nachiketa Sahoo is a faculty member at the Questrom School of Business, Boston University. His research operates at the intersection of economics, management science, and computer science. Specifically, he focuses on learning user preferences and decision-making processes from large, disaggregate user-activity datasets. Using econometrics and machine learning, his work investigates design and implication of personalized recommender systems, and the broader implications of algorithmic decision-making.

Track Description:

The Responsibility and Ethics Track at ICIS 2026 extends the tradition of ethics, responsibility, and social impact research within the ICIS community. The track provides a dedicated forum for examining information systems as ethical, moral, and social phenomenon with significant implications for organisations, institutions, and society more broadly. These phenomena are transformational yet, as part of a digital undertow, often go unnoticed. For example, algorithmic decision-making, data-intensive agentic work, and ‘intelligent’ systems challenge traditional notions of responsibility and produce new ethical dilemmas which are only now becoming visible (e.g. algorithmic pollution, ‘AI slop’, new forms of identity theft).

We invite research that addresses issues of responsibility and ethical dilemmas (e.g. accountability, transparency, fairness, power) across the lifecycle of digital systems. This includes design/development of systems, evaluation and monitoring, and governance, and how those systems may unfold in the future as concepts and technologies evolve. We particularly welcome work that conceptualizes responsibility in evolving human-machine relations within organisational practices, governance structures, professional norms, regulatory environments and in everyday social life. This includes, but is not limited to, studies addressing whether technologies themselves can be ethical, how bias and discrimination are produced in algorithmic systems, auditing and transparency, privacy and surveillance, what innovation is responsible to or for, new sustainability challenges for energy-intensive systems, and how ethics are produced through new digital interactions.

The track encourages multi-level perspectives spanning individuals, teams, organisations, ecosystems, and society, and welcomes diverse theoretical lenses, including critical, interpretive, design-oriented, and normative approaches. Empirical (including econometric and experimental), conceptual, and methodological (including design science research) contributions are equally valued. We also welcome research that engages with grand challenges and explores how information systems and ‘AI’ may contribute to or obstruct social inclusion, equity, wellbeing, and public trust. By acknowledging the realities of emerging agentic and distributed systems, we can reengage with the traditional IS ethics and responsibility discourse.

This track aims to advance rigorous and relevant scholarship that informs what responsibility and ethics are becoming as organizations, institutions and society grapple with digitalisation, new agentic “intelligences” and commit to more ethical, inclusive, and sustainable futures

Topics of interest include, but are not limited to:

• Accountability and responsibility in digital and algorithmic systems
• Ethical governance, regulation, and ethics-by-design across system lifecycles
• Bias, discrimination, and social exclusion in automated decision-making
• Data ethics, privacy, surveillance, and identity related harms
• Transparency, explainability, and auditing of data-driven systems AI in human-machine collaboration and changing work practices
• Accountability and control in agentic and autonomous AI systems
• Bias, fairness, and contestability in AI-enabled decision processes
• Organizational governance of AI development, deployment, and monitoring
• Public trust and legitimacy of AI in societal institutions
• Power, politics, and institutional dynamics of digital infrastructures Sustainability and environmental impacts of data-intensive technologies Professional norms, expertise, and identity in digitally mediated work
• Social wellbeing, inclusion, and community impacts of digital systems
• Theoretical, methodological, and design-oriented advances in IS ethics research

Associate Editors:

• Blerim Emruli, Lund University, Sweden
• Clara Heavin, University College Cork, Ireland
• Donghyuk Shin, Korea Advances Institute of Science and Technology, S. Korea
• Emmanuelle Vaast, McGill University, Canada
• Georgina Cosma, Loughborough University, USA
• Gerdus Benade, Boston University, USA
• Harriet Deacon, University of Hull, UK
• Helle Zinner, Copenhagen Business School , Denmark
• Katrina Gidlund, Mid Sweden University, Sweden
• Mads Boedker, Copenhagen Business School, Denmark
• Maria De-Arteaga, ESADE, Spain
• Rick Sullivan, HEC Montreal, Canada
• Shawn Mankad, North Carolina State University, USA 
• Teng Ye, University of Minnesota, USA
• Tian Lu, Arizona State University, USA 
• Tina Jensen, Copenhagen Business School, Denmark
• Uri Gal, University of Sydney, Australia
• Cam Kormylo, University of Notre Dame, USA
• Jorge Mejia, Indiana University, USA
• Guohou (Jack) Shan, Northeastern University, USA
• Mike Teodorescu, University of Washington, USA
• Lauren Waardenburg, ESSEC, France
• Isam Faik, Western University, Canada
• Anjana Susarla, Michigan State University, USA
• Muhammad Irfan Khalid, University of Agder, Norway
• Bowen Guan, University of Sydney, Australia
• Yangting Li, University of Sydney, Australia
• Abhijeet Ghoshal,  University of Illinois, USA
• Jessica Clark, University of Maryland, USA
• Dave Wilson, Brigham Young University, USA
• Xue Yang, Nanjing University, China
• Ayomikun Idowu, University of Sussex, UK
• Aurelie Leclercq Vandelannoitte, IESEG, France
• Mala Kaul, University of Nevada, Reno, USA

Track Chairs:

Priya Seetharaman

priyas@iimcal.ac.in 

Priya Seetharaman is a Professor of Management Information Systems at the Indian Institute of Management Calcutta. She is a Fellow of IIM Calcutta (Ph.D.). Her primary research areas include Adoption, Use and Evolution of Information Technology in Organizations, Technology Governance, Sociomateriality, and ICT4D, with a particular interest in how digital infrastructures shape organizational futures and societal outcomes. Her work has appeared in academic journals such as the Information Systems Journal, Journal of MIS, Information & Management, Computers in Human Behaviour, Technology Forecasting and Social Change, International Journal of Information Management and in ICIS, HICSS, AMCIS, ECIS and ACIS proceedings. She is currently the Editor-in-Chief of DECISION and was earlier the Research Curations editor of MIS Quarterly. Priya has been actively involved in AIS India Chapter in multiple capacities, promoting impactful, contextually grounded IS research and education.

Helle Zinner Henriksen

hzh.digi@cbs.dk 

Helle Zinner Henriksen is a Professor (WSR) at Department of Digitalization at Copenhagen Business School. Her primary research interests include empirical studies of the uptake and use of digital technologies in private and public domains. Her work has appeared in IS journals such as the Information Systems Research, Journal of the Association of Information Systems, European Journal of Information Systems, and Journal of Information Technology as well as in e-government journals such as Government Information Quarterly and Information Polity. Helle has served as AIS VP of Member Services during the period 2019-2022.

Che-Wei Liu

cheweiliu@asu.edu 

Che-Wei Liu is an Associate Professor of Information Systems at the W. P. Carey School of Business, Arizona State University. His research examines how digital technologies such as mobile health, artificial intelligence, fintech, and IT labor policies influence user behavior in healthcare, labor markets, and financial decision-making, generating insights that inform technology design, policy development, and organizational strategy. His work has been published in leading journals, including Management Science, MIS Quarterly, Information Systems Research, Journal of Management Information Systems, and Production and Operations Management. He has received multiple research recognitions, including fellowships from the University of Maryland, faculty and data funding awards from Indiana University, the ISS Gordon B. Davis Young Scholar Award, and several best paper runners-up honors, such as the INFORMS ISS Cluster, ICIS, and ICSH awards.

Track Description:

Digitalization has moved beyond enabling organizational efficiency and market connectivity to becoming a defining infrastructure of everyday life and collective futures. While digital technologies continue to hold promise for inclusion and well-being, their societal consequences are neither uniform nor inevitable, often differing across social, institutional, and regional contexts. In particular, consequences emerge through complex interactions among technologies, institutions, cultures, political power and everyday practices.

Digital technologies may create new forms of vulnerability and inequality, but at the same time they facilitate opportunities for participation and collective action. The speed and scale of technological change continue to outpace our theoretical and empirical understanding of its consequences. It is therefore imperative for IS scholarship to engage not only with impacts, but also with responsibilities and the broader societal implications. The IS community is uniquely positioned to examine how digital technologies are socially embedded and politically consequential.

This track invites research that moves beyond surface-level accounts of “benefits and challenges” toward deeper engagement with the structural, institutional, cultural, and ethical dimensions of digital technologies. We encourage submissions that highlight context and voices from diverse regions of the world. Theoretical, empirical, and design-oriented scholarship on the societal implications of IS is welcome. Submissions may employ qualitative, quantitative, mixed, or design science approaches. Interdisciplinary perspectives and critical, interpretive, and practice-based theorizing are especially encouraged.

Topics of interest include, but are not limited to:

• Decolonial perspectives, epistemic justice, and foundations of responsible digitalization
• Digital technologies, cultural expression, and identity formation
• Digital inclusion, participation, and civic access
• Collective trust, social cohesion, and democratic implications of digitalization
• Digitally mediated societal change
• Digital development and socio-economic transformation (ICT4D)
• Inequality, skill gaps, and digital disadvantage
• Algorithmic systems and socio-economic mobility
• Recommendation systems and their societal implications
• Platform governance, information harms and public discourse
• Societal consequences of labor automation and AI-driven work
• Ethical challenges in generative AI: fairness and structural justice
• Societal implications of autonomous AI agents

Associate Editors:

• Akshat Lakhiwal, University of Georgia, USA
• Anuragini Shirish, Institute Mines-Télécom Business School, France
• Arindam Mukherjee, Indian Institute of Management Ranchi, India
• Bidisha Chaudhuri, University of Amsterdam, Netherlands
• Brian Nicholson, The University of Manchester, UK
• Cansu Ekmekcioglu, McMaster University, Canada
• Devinder Thapa, University of Agder, Norway
• Dongwon Lee, Hong Kong University of Science and Technology, HongKong (China)
• Eduardo Diniz, Fundação Getulio Vargas, Brazil
• Hameed Chughtai, Lancaster University, UK
• Harminder Singh, Auckland University of Technology, New Zealand
• Himanshu Sharma, Auckland University of Technology, New Zealand
• Irwin Brown, University of Cape Town, South Africa
• Jisu Cao, Arizona State University, USA
• Jocelyn Cranefield, Victoria University of Wellington, New Zealand
• Laura Brandimarte, University of Arizona, USA
• Luiz Joia, Fundação Getulio Vargas, Brazil
• Maria Alexandra Cunha, Fundação Getulio Vargas, Brazil
• Meilin Gu, Arizona State University, USA
• Mingwei Sun, University of Texas at Arlington, USA
• Nick Brown, Indiana University, USA
• Olga Usachova, Norwegian University of Science and Technology, Norway
• Petter Nielsen, University of Oslo, Norway
• Pragyan Thapa, University of Agder, Norway
• Rishikesan Parthiban, Indian Institute of Management Tiruchirappalli, India
• Sherah Kurnia, The University of Melbourne, Australia
• Stan Karanasios, The University of Queensland, Australia
• Xiaowei Liu, University of Notre Dame, China
• Yipu Deng, University of Hong Kong, HongKong (China)
• Yoonseock Son, University of Notre Dame, USA

Track Chairs:

Michael Chau

mchau@business.hku.hk 

Michael Chau is a professor in the Faculty of Business and Economics (HKU Business School) at the University of Hong Kong. His research focuses on the cross-disciplinary intersection of information systems, computer science, business analytics, and information science, with an emphasis on the applications of artificial intelligence and machine learning in various business, education, and social domains. His work has been published in premier outlets in information systems and other disciplines. He has received multiple awards for his research and is a member of the AIS College of Senior Scholars. He received his Ph.D. degree in management information systems from the University of Arizona and his B.Sc. degree in computer science and information systems from the University of Hong Kong.

Christine Legner

christine.legner@unil.ch 

Christine Legner is Professor of Information Systems at the Faculty of Business and Economics (HEC), University of Lausanne and research fellow at the MIT Center for Information Systems Research (CISR). She is also the co-founder and academic director of the Competence Centers Corporate Data Quality (CC CDQ), an industry-funded research consortium and expert community with 20 Fortune500 companies. In the CC CDQ, she and her research team collaborate with industry experts to develop concepts, tools and methods that advance data management. Her research interests are in data management, enterprise architecture and business software. Her work has appeared, among others, in the Journal of the Association for Information Systems, Information Systems Journal, Journal of Information Technology and Journal of Strategic Information Systems.

Marta Stelmaszak Rosa

mstelmaszak@isenberg.umass.edu 

Marta Stelmaszak Rosa is an Assistant Professor of Information Systems at the Isenberg School of Management, University of Massachusetts Amherst. Her research examines digital data in organizations, with a focus on their innovation, responsibility, and value. Her work has appeared, among others, in MIS Quarterly, Information Systems Research, and the Journal of the Association for Information Systems. She holds a Ph.D. from the London School of Economics and Political Science, as well as an MSc, and an MSc in Data Science from Birkbeck, University of London. She co-leads the Data Studies Bibliography, an international community advancing scholarship on data as an object of inquiry.

Wolfgang Maass

wolfgang.maass@iss.uni-saarland.de 

Wolfgang Maass is a Full Professor of Business Informatics at Saarland University (Dr.-Ing. habil. oec.) and Co-opted Professor in Computer Science. He serves as Scientific Director of the Smart Service Engineering research area at the German Research Center for Artificial Intelligence (DFKI). He holds degrees from RWTH Aachen University and Saarland University in Computer Science, and completed his postdoctoral habilitation in Information Management at the University of St. Gallen, Switzerland. His research focuses on technological transformation driven by artificial intelligence and quantum technologies, with applications in medical research, digital health, social anomalies, finance, and defense.

Track Description:

Data have become a foundational phenomenon in contemporary organizations, shaping decision-making, innovation, and coordination across increasingly complex digital ecosystems. As data grow in scale, diversity, and are repurposed for analytics and AI, new challenges emerge around how they are managed, analyzed, and governed. This track invites research that investigates these challenges and advances our understanding of data management and analytics in the information systems discipline.

We seek submissions that examine data across their full lifecycle, from creation, capture, curation, and storage to processing, analysis, and use. Given the distinct characteristics of digital data, we especially welcome studies that rethink traditional assumptions about data quality, governance, and value and develop novel approaches to cope with the increasing demand for data and analytics in AI. Analytics continues to transform how organizations operate, innovate, and learn. We invite research on novel analytics approaches in organizations, including new modeling techniques, analytical architectures, evaluation methods, and empirical strategies that address real-world phenomena or generate conceptual advances. We encourage submissions that use analytics not only to solve applied problems but also to support data-driven theory building.

Because AI systems are increasingly inseparable from the data that fuel them, this track explicitly invites work examining the mutual shaping of data and AI. We welcome studies on how AI transforms data requirements, data work, data governance, and data quality and how data practices, in turn, shape the performance, organizational uses, and consequences of AI.

Overall, this track provides a scholarly space to deepen our understanding of data as a central phenomenon. Conceptual, theoretical, computational, design-oriented, and empirical papers are all appropriate for this track.

Topics of interest include, but are not limited to:

• Data privacy, security, and sovereignty
• Data quality definition, assessment, and improvement
• Data work within organizational and societal contexts
• Data value within and across organizations
• Data spaces, data platforms, and other data sharing infrastructures
• Data for AI and the interplay with AI systems
• Societal aspects around data
• Data and analytics architectures in organizations and ecosystems
• Data preparation, transformation, and feature engineering for organizational analytics
• Management of data assets and data pipelines for analytics and AI at scale (e.g., semantic layer)
• Methods and methodologies for data and analytics development and deployment
• Unstructured data analysis (e.g., text, image, audio, video) to address business and/or societal challenges
• Roles and organizational approaches to data and analytics
• Predictive, prescriptive, and causal analytics for organizational decision-making and innovation

Associate Editors:

• Aleksi Aaltonen, Stevens Institute of Technology, USA
• Zhuolan Bao, The Chinese University of Hong Kong (Shenzhen), Hong Kong
• Olivia Benfeldt, CBS, Denmark
• Mark de Reuver, TU Delft, Netherlands
• Bingjie Deng, Xi’an Jiaotong Liverpool University, China
• David Dobolyi, University of Colorado Boulder, USA
• Wanxue Dong, The Chinese University of Hong Kong, Hong Kong
• Feiyu E, Michigan Technological University, USA
• Xunhua Guo, Tsinghua University, China
• Konstantin Hopf, Chemnitz University of Technology, Germany
• Jin Hu, Hong Kong Metropolitan University, Hong Kong
• Mayur Joshi, University of Ottawa, Canada
• Tomislav Karačić, LSE, UK
• Angelos Kostis, Stanford University, USA
• Hippolyte Lefebvre, University College Dublin, Ireland
• Wenwen Li, Fudan University, China
• Hsin-Min Lu, National Taiwan University, Taiwan
• Frederik Möller, TU Braunschweig, Germany
• Elaine Mosconi, Université de Sherbrooke, Canada
• Grant Oosterwyk, University of Cape Town, South Africa
• Dragana Paparova, University of Oslo, Norway
• Dan Pienta, University of Tennessee, USA
• Angelo Romasanta, ESADE, Spain
• Ida Someh, The University of Queensland, Australia
• Hengqi Tian, University of Colorado Denver, USA
• Philip Tin Yun Lee, Hong Kong Shue Yan University, Hong Kong
• Martin Wiener, TU Dresden, Germany
• Shuo Yu, Texas Tech University, USA
• Roman Lukyanenko, University of Virginia, USA

Track Chairs:

Burcu Bulgurcu

bulgurcu@torontomu.ca 

Burcu Bulgurcu (Ph.D., M.Sc., Sauder School of Business, University of British Columbia) is an Associate Professor of Information Technology Management at the Ted Rogers School of Management, Toronto Metropolitan University, Canada. Previously, she was a faculty member in the Carroll School of Management at Boston College. Her academic research interests include human-centric cybersecurity and information privacy. Her work provides guidance for developing data-protective processes and privacy-preserving technologies, with an emphasis on their role in strengthening cyber resilience and enabling digital innovation. The results of her research have been published in Financial Times Top 50 journals and leading conferences, including MIS Quarterly, MIT Sloan Management Review, the Journal of MIS, the Journal of the Association for Information Systems, and ACM Transactions on Computer-Human Interaction. She teaches courses in IT management and strategy, as well as a course on data visualization that emphasizes storytelling with data.

Saeed Akhlaghpour

s.akhlaghpour@business.uq.edu.au 

Saeed Akhlaghpour is an Associate Professor of Business Information Systems at The University of Queensland, Australia. He holds a PhD in Management from McGill University, Canada. His research explores cybersecurity, privacy, and health data protection, including organizational responses to data breaches and the governance of AI-enabled innovations in digital health. He has published in journals such as American Journal of Sociology, Journal of the Association for Information Systems, Information and Organization, Journal of Information Technology, and Journal of the American Medical Informatics Association. His work is cited in EU and Canadian policy documents and has appeared in outlets including The Wall Street Journal, ABC News, and The Australian. He is Senior Guest Editor for Information and Organization, Associate Editor for the Asia Pacific Journal of Information Systems, serves on the Editorial Board of the International Journal of Medical Informatics, and chairs the AIS Special Interest Group on Adoption and Diffusion of Information Technology (SIG ADIT).

Dionysios Demetis

d.demetis@hull.ac.uk 

Dr Dionysios Demetis is an Associate Professor (Reader) in Information Systems at Hull University Business School, a Visiting Professor at the Texas A&M University School of Law, and a Senior Fellow of the Higher Education Academy. He holds a PhD in Information Systems from the London School of Economics with a specialization in-between MIS and Anti-Money Laundering. At the LSE, he was a member of the Computer Security Research Centre., while his research on cybercrime and online child sexual exploitation has received the Best Paper Award from the Journal of the Association for Information Systems and the Best Publication Award from the AIS Senior Scholars Committee. He serves as senior editor at the Journal of Information Systems Security. He is currently the co-chair to the Annual Security Conference taking place annually in Las Vegas, Nevada.

Jason Thatcher

jason.thatcher@colorado.edu

Jason Bennett Thatcher is the Tandean Rustandy Esteemed Professor at the Leeds School of Business, University of Colorado Boulder, United States. His academic research interests include behavioral, organizational, and managerial issues related to information systems and digital technologies, with particular interests in cybersecurity and the use of digital traces to understand individual and organizational behavior. His work has been published in leading journals across information systems, management, and psychology, including MIS Quarterly, Information Systems Research, and the Journal of Applied Psychology. He has held several leadership and editorial roles in the information systems community, including President of the Association for Information Systems, AMCIS Conference Chair, ICIS Program Chair, and Senior Editor at Information Systems Research. He is currently a Senior Editor at MIS Quarterly.

Track Description:

Cybersecurity and privacy are system-level constraints that shape how digital technologies are designed, governed, adopted, and used. Most cybersecurity and privacy failures stem from complex sociotechnical interactions and continuously expanding attack surfaces. Human behavior, routines, incentives, and awareness intersect with distributed digital ecosystems, platform-based architectures, and supply-chain dependencies in ways that cannot be adequately explained by simple attacker–defender models or isolated compliance failures. These conditions raise fundamental questions about cyber-risk sensemaking, governance, and the design of effective systems of control in dynamic digital environments.

The fast-paced and largely unregulated adoption of AI further intensifies these challenges. As individuals and organizations embed AI, analytics, and autonomous systems into core use and operations, new vulnerabilities, dependencies, and privacy risks emerge alongside new opportunities for protection, assurance, and control. Defenders increasingly rely on AI-driven threat detection, anomaly monitoring, and automated response, while simultaneously navigating regulatory change, organizational policies, and human behavior. AI-enabled systems also introduce lifecycle risks, including data leakage, model manipulation, and novel vulnerability classes in LLM-based applications, such as prompt injection and insecure output handling.

Privacy remains a central concern as organizations balance data sharing, innovation, and value creation with protection, consent, and accountability. Evidence on how privacy concerns shape behavior, such as data donation, secondary data use, or compliance, remains mixed. These tensions are especially pronounced in high-stakes domains like healthcare, where AI applications amplify ethical, legal, and operational challenges.

This track invites future-oriented and theoretically grounded research that advances understanding of contemporary and emerging cybersecurity and privacy challenges. We welcome quantitative, qualitative, conceptual, and design science contributions drawing on sociotechnical, systems-theoretical, and complexity-informed perspectives. Topics of interest include, but are not limited to, cybersecurity and privacy governance, risk management, assurance, and accountability, regulatory compliance, human awareness and engagement, agentic AI threats and solutions, cyber-risk modelling and sensemaking.

Topics of interest include, but are not limited to:

• Cybersecurity awareness, behavior, and engagement, including training, gamification, and cyber-awareness interventions
• Employee accountability, insider threats, and insecure behaviors, including computer abuse and policy violations
• Adoption, use, and continuance of cybersecurity technologies, controls, and policies
• Regulatory compliance, governance, and corporate strategies in cybersecurity and privacy
• Cybersecurity risk analysis, sensemaking, and modeling, including security and privacy metrics
• Systems-theoretical, sociotechnical, and complexity-informed approaches to cybersecurity and privacy
• Security-by-Design and privacy-by-design approaches, including secure system and process design
• AI-driven cybersecurity and privacy violations, including agentic AI–based threats
• AI-enabled cybersecurity protection, including AI-driven detection, response, and vulnerability management
• Security and privacy of GenAI and LLM-based applications, including prompt injection, insecure output handling, and data leakage
• AI governance at the cybersecurity–privacy interface, including assurance, audits, accountability, and risk management
• Ransomware attacks, disaster recovery, and organizational resilience outcomes
• Dark web monitoring, digital forensics, and cybercrime investigations
• Privacy concerns and user behavior, including privacy calculus, data donation, secondary data use, consent models, and data stewardship, particularly in high-stakes domains such as healthcare and clinical AI

Associate Editors:

• Mohamed Abdelhamid, California State University, Long Beach, USA
• Idris Adjerid, Virginia Tech, USA
• Mohammad Alshammari, University of Hail, Saudi Arabia
• Maria Bada, Queen Mary University of London, UK
• Youngsok Bang, Yonsei University, Republic of Korea
• W. Alec Cram, University of Waterloo, Canada
• Alina Maria Dulipovici, HEC Montréal, Canada
• Alexandra Durcikova, University of Oklahoma, USA
• Rebekah Eden, The University of Queensland, Australia
• Steven Furnell, University of Nottingham, UK
• Jens Grossklags, Technical University of Munich, Germany
• Steffi Haag, Heinrich Heine University Düsseldorf, Germany
• Farkhondeh Hassandoust, University of Auckland, New Zealand
• Karin Hedström, Örebro University, Sweden
• Shuyuan Mary Ho, Florida State University, USA
• P. Vigneswara Ilavarasan, Indian Institute of Technology Delhi, India
• Allen Johnston, University of Alabama, USA
• Miranda Kajtazi, Lund University, Sweden
• Maria Karyda, University of the Aegean, Greece
• Ping Fan Ke, Singapore Management University, Singapore
• Alvin Leung, City University of Hong Kong, China
• Wilson Li, Deakin University, Australia
• Xuecong Lu, University at Albany, SUNY, USA
• Sean Maynard, The University of Melbourne, Australia
• Hamid Reza Nikkhah, University of Nevada, Las Vegas, USA
• Obiageli Ogbanufe, University of North Texas, USA
• Jeffrey G. Proudfoot, Bentley University, USA
• Maduka Subasinghage, The University of Western Australia, Australia
• Nik Thompson, Curtin University, Australia
• Simon Trang, Georg-August-Universität Göttingen, Germany
• Aggeliki Tsohou, Ionian University, Greece
• Qiuhong Wang, National University of Singapore, Singapore
• Wei Xie, Appalachian State University, USA
• Heng Xu, University of Notre Dame, USA
• Yiwen Gao, Clemson University, USA
• Michael Dinger, Baylor University, USA 
• Nishan Vishwamitra, University of Texas, San Antonio, USA
• Sandeep Sunwal, University of Colorado, Colorado Springs, USA
• Steve Ullman, , University of Texas, San Antonio, USA
• Jenny Pu, University of Nottingham Ningbo, China
• Jenny Elo, Tampere University, Finland

Track Chairs:

Roman Beck

romanbeck@bentley.edu 

Roman Beck is Professor of Information Systems and Chester B. Slade Chair at Bentley University, where he directs the Crypto Ledger Lab. His research focuses on blockchain governance, decentralized finance, and digital sovereignty, and he has led several large international research initiatives funded by European and national research agencies. Roman previously founded and headed the European Blockchain Center in Copenhagen and co-founded the European Decentralisation Institute. He has advised governments and international organizations on blockchain policy and co-authored the EU Ethical Guidelines for Blockchain Systems. His work has been published in journals such as MIS Quarterly (MISQ), Journal of the Association for Information Systems (JAIS), Information Systems Journal (ISJ), and others. Roman serves as a Senior Editor for JAIS, MISQE and BISE. He is also an honorary doctorate recipient and an active speaker at global industry and policy forums.

Matti Rossi

matti.rossi@aalto.fi 

Matti Rossi is a professor of information systems at Aalto University School of Business. He is a Past President of the Association for Information Systems and AIS Fellow. He has been the principal investigator in several major research projects funded by the technological development center of Finland and Academy of Finland. He has been a member of the board of open-source software developer QT Company Plc., MetaCASE Consulting Plc and chairman of the board of Syncron Tech. He was the winner of the 2013 Millennium Distinction Award of Technology Academy of Finland for open source and data research. His research papers have appeared in journals such as MIS Quarterly (MISQ), Journal of AIS (JAIS), Information and Management (I&M) and Information Systems Journal (ISJ). Matti has served as a Senior Editor of JAIS and Journal of Information Technology (JIT), and an Associate Editor for MISQ. Matti is also a Past Editor-in-Chief of the Communications of the Association for Information Systems (CAIS).

Yi Yang

imyiyang@ust.hk 

Yi Yang is an Associate Professor of Information Systems at the HKUST Business School, where he also serves as Director of the Center for Business and Social Analytics. His research focuses on machine learning, deep learning, and predictive analytics, and the broader applications of AI in business. Yi has led major research projects funded by the Hong Kong Research Grants Council and HKUST, including work on generative AI in financial analysis and organizational decision-making. His papers have appeared in journals such as Information Systems Research (ISR), MIS Quarterly (MISQ), INFORMS Journal on Computing (IJOC), ACM Transactions on Information Systems (TOIS), and others. He is an Associate Editor for Information Systems Research, as well as for INFORMS Journal of Computing. Yi earned his Ph.D. in Computer Science from Northwestern University and his B.Eng. from the University of Science and Technology of China.

Track Description:

This track explores the transformative interface of Distributed Ledger Technologies (DLT), blockchain, and modern FinTech systems such as in Decentralized Finance (DeFi). As Artificial Intelligence (AI) has become deeply embedded in financial infrastructures, digital markets, and decentralized ecosystems, this track also emphasizes the critical role of AI, including machine learning, LLMs, agentic AI, and autonomous systems, in shaping the emergence, operation, and governance of DLT- and FinTech-based innovations. We invite research that connects the foundational infrastructure of DLT/blockchain (consensus, tokenization, decentralization, interoperability) with the evolving economic and business models, regulatory/legal frameworks, and ecosystem impacts of FinTech. In the era of AI-enabled finance, this track welcomes work that addresses how AI augments, disrupts or converges with DLT/FinTech, DeFi and the broader societal, organizational and economic implications of this convergence.

Topics of interest include, but are not limited to:

• Architectures, protocols and governance of DLT/blockchain systems (layer-2 scaling, interoperability, hybrid public-private ledgers)
• Tokenization of financial assets, digital securities, stablecoins, CBDCs, and the implications for market infrastructure
• Tokenization of other types of assets (e.g. physical items, art etc.) and their markets
• Decentralized Finance (DeFi), decentralized autonomous organizations (DAOs), Web3 business models, and how AI/ML shapes or emerges in these contexts
• FinTech innovations including digital payments, lending, insurtech, embedded finance, open banking, platform business models, with a focus on AI-driven personalization, prediction, and automation
• The convergence of AI and DLT/FinTech: e.g., AI-driven smart contracts, autonomous agents interacting with tokenized ecosystems, trust/risk analytics for crypto-assets, AI for governance in decentralized systems
• Regulation, policy, compliance and supervision in an AI+D LT/FinTech world: AML/KYC, digital identity and verifiable credentials, algorithmic decision-making, systemic risk, ethical and societal concerns
• Organizational, economic and ecosystem change: adoption dynamics, value creation/value capture in token economies, cross-industry platform shifts, emergent roles of incumbents and startups
• Sustainability, inclusivity and societal impact: green/blockchain energy trade-offs, financial inclusion via FinTech and DLT, AI-enabled financial services for underserved populations
• Methodological diversity: design science, empirical, computational/data-driven studies (e.g., machine learning, deep learning), behavioral and organizational lenses are all encouraged
• We invite submissions that look forward: how will the next wave of AI-enabled DLT & FinTech systems reshape not only finance, but larger socio-technical infrastructures?

Associate Editors:

• Alfred Taudes, Vienna University of Economics and Business, Austria
• Juho Lindman, University of Gothenburg, Sweden
• Daning Hu, Southern University of Science and Technology, China
• Liudmila Zavolokina, University of Lausanne, Switzerland
• Arthur Carvalho, Miami University, USA
• Tan Gürpinar, Quinnipiac University, USA
• Asger Balle Pedersen, IT University of Copenhagen, Denmark
• Henry M. Kim, York University, Canada
• Jens Strüker, University of Bayreuth, Germany
• Nils Urbach, Frankfurt University of Applied Sciences, Germany
• Christoph Müller-Bloch, ESSEC Business School, France
• Leid Zejnilovic, Nova School of Business and Economics, Portugal
• Raffaele Ciriello, The University of Sydney, Australia
• Harris Kyriakou, ESSEC Business School, France
• Mariia Petryk, George Mason University, USA

Track Chairs:

Leona Chandra Kruse

leona.chandra@uia.no 

Leona Chandra Kruse is a Professor of Information Systems at the University of Agder in Norway. Her research applies and extends the design science research (DSR) paradigm to explore and understand sociotechnical digital design for human flourishing, leveraging legacy and emerging information systems such as artificial intelligence (AI) agents, non-fungible tokens (NFTs), and unified payment interface (UPI). Her works have been recognized with the Young Researcher Award from the Agder Academy of Sciences and Letters in 2024 and the AIS Senior Scholar’s Best Information Systems Publication in 2019 and 2025. She serves on the editorial board of the European Journal of Information Systems, the Journal of Strategic Information Systems, and MIS Quarterly.

Xin Li 

X.Li@polyu.edu.hk 

Xin Li is a Professor in the Department of Management and Marketing at the Hong Kong Polytechnic University. He received his PhD in management from the University of Arizona and BE and ME from Tsinghua University. His research interests include digital economy, machine learning, social networks, and applied econometrics. His research appears in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, INFORMS Journal on Computing, among others. He is an AE of the INFORMS Journal on Computing and Information & Management.

Nan Zhang

nan.zhang@nd.edu 

Nan Zhang is a Professor of IT, Analytics, and Operations at the Mendoza College of Business, University of Notre Dame. Prior to joining Notre Dame, he held faculty positions at American University, George Washington University, Pennsylvania State University, and the University of Florida. He has also served as a Program Director and expert at the National Science Foundation (NSF). Dr. Zhang’s current research explores the societal impacts of artificial intelligence (AI) and the development of machine learning methods for the social sciences. His work in these areas has been supported by federal agencies such as the NSF, Defense Advanced Research Projects Agency (DARPA), and the U.S. Army, as well as by corporate sponsors including Amazon and Meta.

Track Description:

This track provides a platform to discuss the more technical side of IS, particularly relating to the design, implementation, and evaluation of computational artifacts (i.e., IT or IS artifacts, including but not limited to AI-enabled systems). This track wants to attract computational design science studies with a strong sociotechnical context, i.e., strong business and societal implications.

We are keen to attract insightful and impactful design science studies that are novel and pivot from existing research, theory, and practice. We welcome research that unpacks the complexities of artifact design, considering the mutual interplay between technology, people, organizations, and broader societal structures to address real-world problems. We encourage methodological insights that can help strengthen computational design and evaluation. All submissions must clearly explain the computational artifacts and demonstrate their relevance and impact on real-world problems and stakeholders with proper evaluation techniques and criteria.

By fostering collaboration and knowledge exchange, this track will empower scholars, industry experts, and practitioners to push forward the purposeful, responsible, and human-centered computational artifacts. Papers that focus solely on eliciting design requirements or reporting the process of organizational digital transformation without implementing and evaluating a computational artifact are not a good fit for this track. Likewise, papers that focus solely on algorithmic characteristics alone without a clear sociotechnical context and motivations may not be sufficient for this track.

Topics of interest include, but are not limited to:

• Innovative designs of information systems, algorithms, or computational models for business and societal challenges
• Modeling, simulation, and optimization methods for IS design
• Emerging methods for computational design science research
• Advances in machine learning methods (including deep learning) for sociotechnical design
• Generative AI and foundation models (e.g., large language models)
• Computational design science for explainable and responsible AI
• Computational design science of emerging digital technologies, such as immersive systems, IoT, robotics, etc.
• Algorithmic decision making
• Design supporting human-AI collaboration
• Human-centered information system design

Associate Editors:

• Alan Abrahams, Virginia Tech, USA
• Ingrid Bauer-Haensel, University of St. Gallen, Switzerland
• Alfred Benedikt Brendel, Indiana University, USA
• Yidong Chai, City University of HK, Hong Kong SAR
• Yanzhen Chen, Hong Kong University of Science and Technology, China
• Ben Choi, NTU, Singapore
• Oscar Diaz Garcia, EHU San Sebastián, Spain
• Reza Ebrahimi, University of South Florida, USA
• Mahdi Fahmideh, University of Southern Queensland, Australia
• Chen Gang, Fudan University, China
• Samrat Gupta, IIM Ahmedabad, India
• Mukul Gupta, IIM Indore, India
• Savindu Herath, ETH Zürich, Switzerland
• John Lalor, University of Notre Dame, USA
• Chuanren Liu, University of Tennessee, USA
• Christian Meske, Ruhr University Bochum, Germany
• Patrick Mikalef, NTNU, Norway
• Philipp Mazur, University of Cologne, Germany
• Boris Ng, HK Polytechnic University, Hong Kong SAR
• Shankar Prawesh, IIT Kanpur, India
• Johannes Schneider, University of Liechtenstein, Liechtenstein
• Thorsten Schoormann, Roskilde University, Denmark
• Timo Strohmann, University of Münster, Germany
• Cong Wang, Peking University, China
• Xuan Wei, Shanghai Jiaotong University, China
• Jiaheng Xie, University of Delaware, USA
• Kunpeng Zhang, University of Maryland, USA
• Wenli Zhang, Iowa State University, USA
• Yilu Zhou, Fordham University, USA

Track Chairs:

Adrian Yeow

adrianyeowyk@suss.edu.sg 

Adrian Yeow is Provost’s Chair and Associate Professor at the School of Business, Singapore University of Social Sciences. He earned his Ph.D. from R.H. Smith School of Business, University of Maryland, College Park. His research interest is on the development, implementation and management of large-scale enterprise systems, healthcare systems, clinical AI algorithms, and digital transformation projects. He is currently involved in several long-term projects with hospitals and has published in a range of high impact journals. He serves as an Associate Editor at the Journal of the Association for Information Systems and had served as an Area Editor of Clinical Systems and Informatics at the Health Systems Journal.

Binny M. Samuel

samuelby@ucmail.uc.edu 

Binny M. Samuel is a Professor of Information Systems at the University of Cincinnati’s Lindner College of Business. He earned a PhD degree from Indiana University’s Kelley School of Business. He has worked in IT roles at Ford Motor Company and Indiana University. His research interests broadly entail: 1) the use of representations for systems development and analytics and 2) evaluating the design of software and systems used to accomplish work. He has published in Communications of the ACM, IEEE Transactions on Software Engineering, Information Systems Research, Journal of the Association for Information Systems, and MIS Quarterly, among others.

Claudia Loebbecke

claudia.loebbecke@uni-koeln.de 

Claudia Loebbecke has held the Chair of Media and Technology Management at the University of Cologne, Germany, since January 2000. In 2005-2006, she was elected the first female president of the Association for Information Systems (AIS), which named her AIS Fellow in 2012. She received a Master Degree and a Ph.D. in Business Administration from the University of Cologne, Germany, and an MBA from Indiana University in Bloomington, IN. Her research focuses on the impact of digitization and new technologies such as artificial intelligence and sensors on business models and management especially in sectors such as media, telecommunications and in tech start-ups. She regularly contributes to two European High Level Groups advising the European Commission. From 2016-2024 she served on the boards of Europe’s second largest public broadcaster after the BBC, the WDR.

Track Description:

The use of and reliance on Information Systems (IS) in organizations and society is more deeply interwoven today than ever, affecting nearly every facet of human existence. More individuals, even outside formal IS training and roles, can and are contributing to the design, development, and management of IS today, thanks in part to the use of AI’s ability to transform natural human language into usable IS components, e.g., “vibe coding”. AI is seen as a contributor to the expansion of IS as it is transforming how IS design, development, and project management (ISD-PM) unfolds. These expansions of IS have amplified attention on ISD-PM.

While this track encourages traditional IS design, development, and project management research, the track also encourages research that advances understanding of socio-technical dimensions of ISD-PM and AI’s impact on IS capabilities and processes in ISD-PM. It hopes to foster research on AI-driven innovations for ISD-PM while maintaining continuity with established topics such as requirements management, IS methodologies (Agile/DevOps/MLOps), and IS tools and practices (e.g., conceptual modeling, low‑/no‑code, and socio‑technical design).

We welcome empirical (quantitative and qualitative), analytical, conceptual, design‑oriented, and simulation‑based studies across organizational, group, and individual levels. Submissions should articulate clear theoretical or practical contributions and situate findings within the IS discipline.

Topics of interest include, but are not limited to:

• Novel theories, perspectives, and foundations for ISD-PM methods, tools, and techniques
• Advances in ISD modeling techniques
• ISD functions such as architecture, testing, and QA
• Prompt‑based / natural‑language programming (incl. low‑/no‑code)
• Methodologies encouraging continuous integration/delivery/monitoring (MLOps, Agile, DevOps)
• Project planning, estimation, and risk
• Human–AI collaboration, roles, skills, and team dynamics in ISD-PM
• Architecture & platform engineering (cloud‑native, micro-services) for AI‑enabled IS
• Socio‑technical design and organizational change through ISD-PM
• Metrics and evaluation of ISD-PM outcomes (quality, agility, value creation)
• Implications of AI‑enabled infrastructure and operations on ISD-PM
• Education and training for AI‑infused ISD-PM practices
• Sourcing and collaboration models (internal, multi‑sourcing, open source)

Associate Editors:

• Jon Beard, Iowa State University, USA
• Cecil Chua, Missouri University of Science & Technology, USA
• Verena Dorner, Vienna University of Economics and Business, Austria
• Attila Hertelendy, Florida International University, USA
• Jian Xiong Huang, South China University of Technology, China
• Jimmy Huang, Nottingham University, UK
• Anton Ivanov, University of Illinois, USA
• Tobias Kircher, TU Munich, Germany
• Marc-Fabian Koerner, University of Luxembourg, Luxemborg
• Jong Lee, University of Tennessee, USA
• Julian Lehmann, San Diego State University, USA
• Yuzhu Li, University of Massachusetts Dartmouth, USA
• Gloria Liu, Massey University, New Zealand
• Lea Mueller, TU Darmstadt, Germany
• Egil Ovrelid, University of Oslo, Norway
• Shachar Reichman, Tel Aviv University, Israel
• Sandra Sieber, IESE, Spain
• Abhishek Tripathi, College of New Jersey, USA
• Debra VanderMeer, Florida International University, USA
• Anna Wiedemann, Bern University of Applied Sciences, Switzerland

Track Chairs:

Noel Carroll

noel.carroll@universityofgalway.ie 

Noel Carroll is Associate Professor of Business Information Systems at the J.E. Cairnes School of Business & Economics, University of Galway, Ireland. He serves as the Programme Director for the BSc in Business Information Systems and is a Funded Investigator with Lero, the Research Ireland Centre for Software. He is also a senior editor of MIS Quarterly Executive. With a strong focus on industry collaboration, his research explores how multinationals, small and medium-sized enterprises, and startups can design and implement digital transformation strategies. His work has been widely published in leading international journals and conferences.

Sarah Lebovitz

sarah.lebovitz@virginia.edu 

Sarah Lebovitz is an Assistant Professor in the Information Technology and Innovation Department at McIntire School of Commerce at the University of Virginia. Her research focuses on the development and adoption of digital technologies and their consequences for professionals’ work practices and organizational processes. She uses field research and in-depth qualitative methods to study how these changes occur in practice and understand their impacts over time. Her work has been published in MIS Quarterly, Organization Science, Academy of Management Journal, Information Systems Journal, and Sloan Management Review. She currently serves on the editorial review board for Information Systems Research and Organization Science and has served as a guest Associate Editor for MIS Quarterly.

Chuan Hoo

distanc@nus.edu.sg 

Chuan Hoo is an Associate Professor in the Department of Information Systems and Analytics, School of Computing at the National University of Singapore. His primary research focuses on digital transformation, mainly designing, deploying, and evaluating technological innovations. His research has been published in premium journals, including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of AIS, ACM Transactions on MIS, Journal of the American Society for Information Science and Technology, and Long Range Planning, among many others. He serves or has served on the editorial boards of leading journals, including Information Systems Research (Associate Editor) and MIS Quarterly (Associate Editor).

Track Description:

Digital technologies are fundamentally transforming how organizations manage operations, create value, and compete in an increasingly complex global, social, and economic landscape. Rapidly emerging and evolving technologies, such as artificial intelligence (AI), robotic process automation, the Internet of Things, embodied devices, and immersive technologies, are exerting pressure on leaders to effectively implement and (re)organize increasingly complex socio-technical systems. Harnessing the full potential of these digital technologies necessitates more than mere tool deployment; it requires a comprehensive reconfiguration of socio-technical systems, a reevaluation of organizing principles, and an alignment of technological capabilities with operational practices. As organizations experiment with AI, generative AI, and other data-driven digital technologies, they encounter persistent challenges across a wide range of socio-technical issues. We have entered a moment to elevate and reimagine our collective insights into the implementation, organization, and integration of technologies into our daily routines and practices. This both empowers us to transform digital strategies into lasting, impactful organizational success, as well as challenges us to confront the risks and potential harms posed by such sweeping transformations.

This track welcomes submissions that investigate the evolving interplay among technological architectures, organizing processes, and human agency. This includes work that examines how digital infrastructures are configured and adapted in practice, how implementation efforts reshape roles, routines, and power dynamics, and how actors collectively make sense of emerging technologies during periods of organizational change and digital transformation. We also welcome studies that explore unintended consequences, scaling challenges, and the long-term institutionalization of new systems. This track seeks to advance theoretical and empirical insights to deepen our understanding of the implementation and (re)organizing of socio-technical complexities.

Topics of interest include, but are not limited to:

• Socio-technical dynamics of how organizations reconfigure structures, hierarchy, and business processes and power to align with evolving digital capabilities.
• The implementation and integration of technology including, but not limited to, AI technologies, robotic process automation, and autonomous systems.
• AI-enabled organizational design and management
• Human–machine collaboration strategies that would reshape work design, decision-making, and human expertise
• (Re)Organizing processes and how digital tools implementation reshape routines, coordination, labor, and structures to span across organizational levels and beyond organizational boundaries.
• Digital infrastructures that are configured, adapted, normalized, scaled, and governed across organizational and ecosystem contexts.
• Digital responsibility issues, including fairness, transparency, accountability, and sustainability during the implementation and (re)organizing of digital technologies.
• Complex socio-technical change, e.g., conceptual or methodological contributions that advance theories of digital transformation, infrastructure evolution, organizing logics, or others.
• Socio-technical strategies for technology implementation in low-infrastructure regions and adaptive digital infrastructure for under-resourced organizations.
• Co-creation of multi-stakeholder governance models and rights-based approaches to emerging technologies.
• How digital technologies reshape temporal rhythms, interdependencies, and ongoing work processes across the organization.

Associate Editors:

• Qiqi Jiang, Copenhagen Business School, Denmark
• Lele Kang, Nanjing University, China
• Jonathan Ye, University of Oklahoma, USA
• Na Liu, University of Sydney, Australia
• Yi Ding, University of Warwick, UK
• Sabine Matook, University of Queensland, Australia
• Kaveh Abhari, San Diego State University, USA
• Mahya Ostovar, University of Galway, Ireland
• Nicolai Fabian, University of Groningen, Netherlands
• Stephen McCarthy, University College Cork, Ireland
• Nikolaus Obwegeser, Bern University of Applied Sciences, Switzerland
• Mylène Struijk, The University of Sydney, Australia
• Bomi Kim, Stockholm School of Economics, Sweden
• Jeffrey Mullins, University of Arkansas, USA
• Joao Baptista, Lancaster University, UK
• Semi Min, University of Minnesota, USA
• Gujie Li, National University of Singapore, Singapore
• Julian Lehmann, Arizona State University , USA
• Liqiang Huang, Zhejiang University, China
• Roberta Bernardi, University of Bristol, England
• Abayomi Baiyere, Queens University, Canada
• Aseem Pahuja, University of Manchester, England
• Freddy Lim, National University of Singapore, Singapore
• Jiho Lee, National University of Singapore, Singapore
• Yani Shi, Southeast University, China
• Ying Lu, IE University, Spain
• Ying Zhang, University of Auckland, New Zealand
• Arvind Karunakaran, Stanford University, USA
• John Qi Dong, Nanyang Technological University, Singapore
• Wenyu Derek Du, BeiHang University, China
• Ruonan Sun, Monash University, Australia

Track Chairs:

Dina Koutsikouri

dina.koutsikouri@ait.gu.se 

Dina Koutsikouri is Associate Professor of informatics at the Department of Applied Information Technology, Gothenburg University IT Faculty, and affiliated with the Swedish Center for Digital Innovation (SCDI). Her research centers around digital transformation, AI-implementation in public sector organizations and human judgment in automated decision-making. Her published research has appeared in for example Journal of the Association for Information Systems, European Journal of Information Systems and Communications of the Association for Information Systems. She serves as an associate editor for European Journal of Information Systems.

Lionel P. Robert Jr.

lprobert@umich.edu 

Lionel P. Robert Jr. is a Professor of Information and Robotics at the University of Michigan. He is a Distinguished Member of ACM and AIS, and a Senior Member of IEEE and INFORMS. His research focuses on technology-enabled collaboration and has appeared in MIS Quarterly, Information Systems Research, the Journal of the Association for Information Systems, and IEEE Robotics and Automation Letters. He is a Senior Editor for the JAIS and AIS Transactions on Human-Computer Interaction and previously an Associate Editor for MIS Quarterly. He has also appeared in the press for ABC, CNN, CBS, CNBC, Fast Company, and the New York Times.

Cheng Yi

yich@sem.tsinghua.edu.cn 

Cheng Yi is an associate professor of information systems at the School of Economics and Management, Tsinghua University, China. Her work has appeared in journals such as Management Science, MIS Quarterly, Information Systems Research, Production and Operations Management, and Journal of Management Information Systems. She serves as an associate editor for several major IS journals such as MIS Quarterly.

Ilias Pappas

ilpappas@ntnu.no 

Ilias O. Pappas is Professor of Information Systems at the Norwegian University of Science and Technology and the University of Agder. His current research activities are within the area of human-centered AI, and he has a key interest in fuzzy-set qualitative comparative analysis (fsQCA) applications. His work has been published, among others, in the European Journal of Information Systems, Information Systems Journal, Human Relations, and Journal of Systems and Software. He serves as Co-Editor of the Scandinavian Journal of Information Systems and on the board of several journals including Information Systems Research. He is an ERCIM “Alain Bensoussan” and a Marie Skłodowska-Curie fellow, and is recognized as an AIS Distinguished Member – Cum Laude.

Joao Vieira da Cunha

j.cunha@ieseg.fr

Joao Vieira da Cunha is a Full Professor of Information Systems at IESEG School of Management. His research on the production on leadership in the digital age has been published in journals such MIS Quarterly, Academy of Management Review and Organization Science.

Track Description:

This track focuses on how humans interact with emerging technologies (e.g., AI, robots, and chatbots) across organizational, cultural, and social contexts. Papers across the remit of IS research on human computer interaction and robot interaction are encouraged. We are interested in understanding technical, behavioral, and institutional factors that influence technology use, as well as how human technology interaction helps generate value in organizations. We also welcome papers that examine how digital technology shapes human cognition and emotion, and how users engage with technologies and algorithms in their personal or professional lives. We look forward to submissions using diverse methodologies (qualitative, quantitative, design-oriented, phenomenology etc.) and theories on a variety of topics.

Topics of interest include, but are not limited to:

• Aesthetic and affective computing
• Design and evaluation of end-user computing in work versus non-work environments and in developing versus developed economies
• Embedded IT applications, including robotics/bots, AI systems, intelligent homes, spatial systems
• Feature-level IT adoption and use
• HCI and robotics interface design issues with new devices and applications, such as smartphones, social networking sites, M-commerce, and pervasive computing
• Human information-seeking behavior on digital platforms
• Human-centeredness and user-centeredness in technology design, development, and use
• Interactions with immersive technologies
• Interfaces for information visualization, analytics, and human-data interaction
• NeuroIS studies on information systems design and use (i.e., neurocognition, neurophysiology, eye tracking)
• Studies focusing on human technology interaction in the context of online persuasion and deception (e.g., fake news, fake reviews, manipulative e-commerce strategies)
• Psychological, social, and cultural aspects of human-computer and robot interactions
• Studies and frameworks that examine trust in, satisfaction with, and expectations of robotic partners
• Usability and design research for human collaboration with automated colleagues
• The use and impacts of robotic process automation (RPA) in organizations
• Studies focusing on human technology interaction in the context of platform algorithms, algorithmic control, and algorithmic workers
• Platform designs for interactions between users and complementors
• Socio-technical perspectives on human technology interaction (e.g., affordances, sociomateriality, sensemaking)
• Digital well-being, technostress, and emotional and identity-related impacts of technology

Associate Editors:

• Andreas Janson, University of St.Gallen, Switzerland
• Anna Croon, University of Umeå, Sweden
• Annette Masterson, University of Michigan Ann Arbor, USA
• Aycan Aslan, IT-University of Copenhagen, Denmark
• Cheng Luo, Tianjin University, China
• Connor Esterwood, University of Michigan Ann Arbor, USA
• Dezhi Wu, University of South Carolina, USA
• Fatemeh Moradi, University of Umeå, Sweden
• Gustaf Juell-Skielse, University of Borås, Sweden
• Jiayuan Zhang, University of Auckland, New Zealand
• Jie Tang, Erasmus University, Netherlands
• Jie Yu, University of Nottingham Ningbo, China
• Khwaja Naveed, University of Gothenburg, Sweden
• Kwame Robinson, Wayne State University, USA
• Larissa Pomrehn, Heinrich Heine University, Düsseldorf, Germany
• Lingli Wang, Renmin University of China, China
• Linnea Carlsson, University West, Sweden
• Lusi Yang, Georgia State University, USA
• Matthew Jensen, University of Oklahoma, USA
• Mi Zhou, University of British Columbia, Canada
• Peiqin Zhang, Texas State University, USA
• Qiaoning Carol Zhang, Arizona State University, USA
• Renzhi (Fred) Zhao, Texas State University, USA
• Runge Zhu, Central University of Finance and Economics, China
• Samia Cornelius Bhatti, Oklahoma State University, USA
• Tingru Cui, University of Melbourne, Australia
• Tingting Song, Shanghai Jiao Tong University, China
• Xixian Peng, Zhejiang University, China
• Yijing Li, The Hong Kong Polytechnic University, China
• Yuejun Wang, University of Science and Technology Beijing, China
• Hsin-Lu Chang, National Cheng Chi University, Taiwan
• Boying Li, University of Nottingham Ningbo, China
• Le Wang, City University of Hong Kong, Hong Kong
• Lingyao Yuan, Iowa State University, USA
• Lingyao Yuan, Iowa State University, USA
• Constantinos Coursaris, HEC Montréal, Canada
• Lanfei Shi, University of Virginia, USA
• Sara Moussawi, Carnegie Mellon University, USA
• Moritz von Zahn, Goethe University, Germany
• Sihan Fang, Shanghai Jiao Tong University, China
• Falk Uebernickel, Hasso Plattner Institute, Germany
• Sameh Al Natour, Toronto Metropoliton University, Canada
• Ulrich Gnewuch, University of Passau, Canada
• Bingqing Xiong, Deakin University, Australia
• Elizabeth Han, McGill University, Canada
• Anna McNab, Niagara University, USA
• Christiane Lehrer, Copenhagen Business School, Denmark
• Jun Zhang, University of Sheffield, England
• Arion Cheong, Stevens Institute of Technology, USA
• Markus Makkonen, Tampere University, Finland
• Marius Mkalsen, Norwegian University of Science and Technology, Norway
• Eric Lim, UNSW Sydney, Australia
• Mohammad Hossain, RMIT, Australia
• Samuli Laato, University of Turku, Finland
• Daniel Edmund O’Leary, University of Southern California, USA
• Antino Kim, Indiana University, USA
• Jing Wang, Manchester Metropolitan University, England
• Guido Geerts, University of Delaware, USA
• Yuzhen Zhu, University of East Anglia, England
• Konstantina Valogianni, IE University, Spain
• Fumi Kurihara, University of Münster, Germany
• Stefan Schmager, University of Agder, Norway
• Ariana Polyviou, Cyprus University of Technology, Cyprus
• Konstantina Spanaki, Audencia Business School, France
• Alan Dennis, Indiana University, USA
• Shuyang Li, University of Birmingham, England
• Gero Strobel, University of Duisburg-Essen, Germany
• Anuschka Schmitt, The London School of Economics and Political Science, England
• Yao Zhao, University of Queensland, Australia

Track Chairs:

David Xu

davidxu@cityu.edu.hk 

David Xu is a professor in the Department of Information Systems at the City University of Hong Kong. He received his PhD from Sauder School of Business at the University of British Columbia in 2011. His research interests include human-computer interaction, artificial intelligence, healthcare, social media, and technology adoption. He has more than 100 publications, including over 40 journal papers. His publications have appeared in information systems journals (e.g., MISQ, ISR, JMIS, JAIS) and interdisciplinary journals, such as Management Science and the INFORMS Journal on Computing. He won the Best Associate Editor Award in ICIS 2020 and the ISR Best Associate Editor Award in 2021. He is serving as an SE for ISJ, an AE for ISR, and an editorial board member for JAIS.

Mari-Klara Stein

mari-klara.stein@taltech.ee 

Mari-Klara Stein is a professor of management at the department of Business Administration, TalTech. Mari earned her doctorate at Bentley University (USA). Her research focuses on the digital transformation of work, implications of work digitalization on emotional well-being and work meaningfulness, and the consequences of datafication, AI and algorithmic management in the workplace. Mari has published her work in top management and information systems journals (e.g., MIS Quarterly, Information Systems Research and Journal of Management Studies). Mari is currently serving as a Senior Editor at MIS Quarterly, as well as serving on the editorial boards of Information & Organization and Journal of the Association for Information Systems. Mari has previously held appointments at the department of Digitalization, Copenhagen Business School (Denmark) and a visiting scholar position at the University of Sydney Business School (Australia).

Likoebe M. Maruping

lmaruping@gsu.edu 

Likoebe M. Maruping is a professor of computer information systems and a member of the Center for Digital Innovation at the J. Mack Robinson College of Business at Georgia State University. His research is primarily focused on innovation in startups and small- and large-scale collectives such as teams, communities, and crowds. He focuses on how digital technology, governance, and collaboration are implicated in innovation at different levels of analysis. He serves as a senior editor for MIS Quarterly and has previously served as an associate editor for Information Systems Research and MIS Quarterly and as a senior editor for Journal of the Association for Information Systems. He is a recipient of the MIS Quarterly Reviewer of the Year and Outstanding Associate Editor of the Year awards and the Information Systems Research Best Associate Editor award.

Aljona Zorina

aljona.zorina@neoma-bs.fr

Aljona Zorina is full professor of Information Systems and Digital Innovation at NEOMA Business School, Senior editor at the European Journal of Information Systems (EJIS), Associate Editor for the Journal of the Association for Information Systems (JAIS) and guest Associate Editor for MIS Quarterly. She studies digital innovation and its impacts in distributed and open settings, with prominent topics in her studies being decentralised collectives, digital visibility, and sustainability. Her research appeared in leading Management and Information Systems journals, including Organization Science, Information Systems Research, Journal of the Association for Information Systems, Information and Organization, Journal of Strategic Information Systems, Long Range Planning, and Organizational Dynamics among others. Her work received Best paper awards and nominations from the Journal of the Association for Information Systems, AISWN College, Academy of Management, International Conference of Information Systems, and Hawaii International Conference on System Sciences. Her dissertation on digital infrastructure co-creation from the bottom-up received ESSEC Business School Best Dissertation Award and was top 3 Dissertation finalists at the AOM 2013 TIM division.

Dezhi (Denny) Yin

dezhiyin@usf.edu 

Dezhi (Denny) Yin is an associate professor of information systems and Muma Fellow at the Muma College of Business, University of South Florida. He received his PhD in information technology management from the Georgia Institute of Technology. His research interests include emotional expressions in online environments, user-generated content (e.g., online word-of-mouth), and AI-generated content (e.g., chatbots). He has published in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, and premier journals in other business disciplines. He serves as an Associate Editor for MIS Quarterly. He is a recipient of the MIS Quarterly Outstanding Associate Editor of the Year and Reviewer of the Year awards and the Information Systems Research Best Reviewer award. He is a recipient of the AIS Mid-Career Award and the INFORMS ISS Sandra A. Slaughter Early Career Award.

Track Description:

In today’s digital landscape, understanding user behavior and fostering engagement have become paramount for the success of information systems and technologies. The “User Behavior and Engagement” track explores the intricate and constantly evolving relationship between users and technology, examining how digital interfaces shape user actions, preferences, and experiences across various contexts.

This track invites cutting-edge research that offers novel insights into the dynamics of user interaction with technology, the factors driving engagement, and the consequential outcomes at individual, organizational, and societal levels. We encourage submissions that investigate the multifaceted nature of user behavior, including cognitive, emotional, and social dimensions, and studies that propose innovative strategies for enhancing healthy user engagement and experience. We also welcome research that critically examines the potential negative side-effects of “user engagement” as the driving goal of technology design (e.g., dependence, over-reliance, skill erosion), and research that proposes novel paradigms in this area (e.g., appropriate reliance and calibrated trust).

With the rapid advancement of Artificial Intelligence (AI), particularly Generative AI (GenAI), as well as other emerging technologies, this track recognizes the transformative impact these technologies have on the human experience when engaging with people, content or other entities. We welcome research exploring how AI, GenAI, Virtual Reality (VR), and social robots, among others, are reshaping user interactions, influencing decision-making processes, and creating new engagement paradigms. Studies examining the ethical implications, user trust, and the potential for AI to personalize and enhance user experiences are especially relevant. Relatedly, we welcome further advances in emerging areas of user experience engagement, including gamification, the Metaverse, and the like.

We invite contributions employing diverse qualitative, quantitative, design science, or mixed methods methodologies that provide theoretical, empirical, or design-oriented insights into user behavior and engagement in digital environments.

Topics of interest include, but are not limited to:

• AI-driven personalization and user engagement
• The impact of GenAI on user behavior
• Appropriate reliance on AI
• Determinants of user engagement in digital platforms
• Behavioral incentives and strategies to enhance user participation
• Group and multi-agent dynamics in user behavior
• Gamification and its influence on user behaviors
• Virtual economy and user behavior and engagement in the gamified Metaverse
• Consequences of user engagement at individual, organizational, and societal levels
• Critical studies on the dark side of user engagement and technology use
• Influence of digital engagement on well-being
• The role of AI in content moderation and user behavior regulation
• Design strategies for enhancing user engagement
• Ethical implications of AI and other emerging technologies on user behaviors
• User experiences in the immersive digitally-enabled environments
• Rethinking user interaction design in the era of immersive computing
• User digital identity formation
• Ethical design of AI-enhanced user interactions

Associate Editors:

• Jinghui (Jove) Hou, University of Houston, USA
• Juhee Kwon, City University of Hong Kong, China
• Haifeng Xu, Shanghai Jiaotong University, China
• Tommy Chan, Manchester University, United Kingdom
• Shen (Kathy) Ning, United Arab Emirates University, United Arab Emirates
• Zhiya Zuo, University of Macau, China
• Chih-Hung Peng, National Taiwan University, China
• Zhiyin Li, City University of Hong Kong, China
• Soumya Ray, National Tsing Hua University, China
• Kun Chen, Shenzhen University, China
• Zach Lee, City University of Hong Kong, China
• Albert Liu, Hong Kong Polytechnic University, China
• Jian Mou, Pusan National University, South Korea
• Shiwei Sun, Beijing Institute of Technology, China
• Sofia Schöbel, University of Osnabrück, Germany
• Markus Salo, University of Jyväskylä, Finland
• Milad Mirbabaie, University of Bamberg, Germany
• Shalini Chandra, SP Jain School of Global Management, Singapore
• Eoin Whelan, University of Galway, Ireland
• Mohammad Rezazade Mehrizi, VU Amsterdam, Netherlands
• Azadeh Savoli, SKEMA Business School, France
• Olgerta Tona, University of Gothenburg, Sweden
• Kathrin Figl, University of Innsbruck, Austria
• Van-Hau Trieu, Deakin University, Australia
• Haifeng Xu, Shanghai Jiaotong University, China
• Henri Pirkkalainen, Tampere University
• Jahyun Goo, Florida Atlantic University
• Melody Zou, Warwick Business School, United Kingdom
• Athina Ioannou, University of Surrey, United Kingdom
• Adela Chen, Colorado State University, USA
• Yukun Yang, Southern University of Science and Technology, China
• Rui Sundrup, University of Louisville, USA
• Ching-I Teng, Chang Gung University, Taiwan
• Kambiz Saffarizadeh, University of Texas – Arlington, USA
• Franck Soh, Texas Christian University, USA
• Atiya Avery, Auburn University, USA
• Divinus Oppong-Tawiah, York University, Canada
• Jean-Charles Pillet, TBS Business School, France
• Tawfiq Alashoor, IESE, Spain
• Pitso Tsibolane, University of Cape Town, South Africa
• Christine Abdalla Mikhaeil, IESEG, France
• Luzuko Tekeni, University of Cape Town, South Africa
• Nasim Mousavi, Georgia State University, USA
• Edona Elshan, Vrije Universiteit Amsterdam, Netherlands
• Mechthild Pieper, University of Mannheim, Germany
• Shi Ying Lim, National University of Singapore, Singapore
• Maylis Saigot, University of Queensland, Australia
• Ruba H. Aljafari, Virginia Tech, USA
• Deborah Mateja, University of Mannheim, Germany
• Benedikt Berger, University of Münster, Germany
• Uttara Ananthakrishnan, University of Washington, USA
• Shaobo Wei, Hefei University of Technology, China
• Honglin DENG, Hong Kong Baptist University, Hong Kong
• Xiaojie ZHANG, Ocean University of China, China

Track Chairs:

Israr Qureshi

i.qureshi@qub.ac.uk 

Israr Qureshi is Professor of Digital Development and Social Entrepreneurship at Queen’s University Belfast. His research examines digital social innovation, digital social entrepreneurship, and digitally enabled social intermediation, with a strong focus on marginalized communities and institutional complexity. He is currently engaged in interdisciplinary research on technoficing to understanding how digital technologies, intermediaries, and local contexts interact to shape social inclusion, capability development, and sustainable development outcomes. Israr’s work has been published in leading journals including Academy of Management Annals, Academy of Management Journal, Journal of the Association for Information Systems, Journal of Business Venturing, Journal of Management, Journal of Management Studies, MIS Quarterly, Organization Science, and Organization Studies. He was Conference Co-Chair for ACIS 2024.

Kathryn Brohman

kathryn.brohman@queensu.ca 

Kathryn Brohman is an Associate Professor of Digital Technology and the Marie E. Shantz Fellow at Smith School of Business, Queen’s University, where she also serves as Academic Director for the Master of Digital Product Management (MDPM) program. Her research focuses on digital transformation, datafication in healthcare, execution leadership, digital product management, and the design of digitally enabled capabilities. Dr. Brohman is widely recognized for her leadership in shaping the emerging discipline of digital product management, bridging academic rigor with real-world impact. She is also an active contributor to global IS communities, serving in leadership roles within AIS SIG DITE and across major conferences such as ICIS and HICSS. Dr. Brohman’s research has appeared in leading journals such as MIS Quarterly, Journal of the Association for Information Systems, Journal of Information Technology, and IEEE Transactions on Engineering Management. She is an Editorial Board Member at MIS Quarterly Executive and a former Associate Editor at Information & Management.

Prasanna P. Karhade 

pkarhade@cuhk.edu.hk 

Prasanna’s research, teaching, and consulting expertise is in the domains of digital innovation, governance, and entrepreneurship. His research has been published in academic journals endorsed by the Financial Times. According to the rankings based on the Association for Information Systems’ List of High-quality Journals from 2019-2021, Prasanna was placed in the top 1% scholars worldwide. Prasanna’s research is conducted in the spirit of engaged scholarship and is often designed in collaboration with a diverse group of global industry partners. He is currently studying digital platforms in economies he conceptualized as growing, rural, eastern, aspirational, and transitional [GREAT] economies. He is also investigating digital transformation occurring within family businesses in GREAT economies. Prasanna means happiness and so there is no incorrect way to pronounce Prasanna — as long as you do it with a smile.

Track Description:

Wave after wave of novel technologies—ranging from traditional information technologies and digital infrastructures to data-intensive systems and artificial intelligence—are continually enabling new products, services, processes, and modes of organizing. Innovations grounded in enterprise IT, mobile and distributed computing, platforms, analytics, generative AI, blockchain, Internet of Things, cloud computing, extended reality, and robotics are reshaping how value is created, captured, and governed across organizational and societal domains. At the same time, these technologies increasingly shape environmental footprints, labor relations, data governance, and social inclusion/ exclusion, highlighting their dual potential to advance sustainability and equity or to intensify resource consumption, surveillance, and inequality.

Importantly, innovation and entrepreneurship increasingly differ not only by technological approach (e.g., IT-enabled, digitally enabled, data-driven, or AI-augmented), but also by value orientation and context. Corporate innovation, new venture creation, and platform entrepreneurship coexist with social innovation, public sector innovation, and community-based forms of entrepreneurship aimed at empowerment, inclusion, and socio-environmental sustainability. Digital and AI-enabled social innovation and social entrepreneurship, for example, illustrate how accessible technologies and emerging AI capabilities can support new forms of service delivery, coordination, and problem-solving—particularly in marginalized or resource-constrained or climate vulnerable settings. At the same time, the rapid diffusion of AI and platform-based business models raises critical challenges related to algorithmic opacity, bias, accountability, labor precarity, environmental costs of computation, and uneven access that demand careful scholarly attention.

Across sectors such as healthcare, education, finance, retail, manufacturing, and community development, innovation processes themselves are becoming more open, distributed, and fluid. Work is increasingly virtualized, automated, and augmented, while platform-based forms of organizing and human–AI collaboration are reshaping creativity, coordination, and decision-making. These transformations can enable more inclusive participation and resource-efficient solutions, but they can also reinforce digital divides, shift risks to individuals, and obscure responsibility for social and environmental outcomes. Within this broader landscape, digitally enabled social intermediation highlights how socially embedded actors mobilize both simple IT and advanced AI technologies to bridge institutional gaps, orchestrate ecosystems, and expand participation in ways that can foster resilience, inclusion, and sustainable development.

This track invites researchers to re-examine traditional assumptions and develop new theories, constructs, and methods that account for heterogeneous forms of innovation and entrepreneurship, differentiated by technology, organizing logic, and value creation goals. The Information Systems (IS) research community is uniquely positioned to address these issues. First, IS emphasizes socio-technical perspectives essential for understanding how IT-, digital-, data-, and AI-based innovations emerge and evolve in practice, including their unintended social and environmental consequences. Second, IS scholarship being inherently interdisciplinary, enabling theorization of innovation outcomes that extend beyond economic value to include empowerment, equity, participation, capability expansion, and ecological sustainability.

We welcome interdisciplinary work with a clear contribution to IS, including conceptual, qualitative, quantitative, and computationally intensive research. We encourage studies that span corporate, entrepreneurial, public, and social contexts, and that examine ethical, gendered, environmental, and sustainability implications of innovation and entrepreneurship in an AI-enabled world, particularly research that explores how digital innovation and digital entrepreneurship can be designed, governed, and scaled to address grand societal challenges rather than exacerbate them.

Topics of interest include, but are not limited to:

• IT-Enabled and Digital Innovation
• Data-Driven, Analytics-Based, and AI-Enabled Innovation
• Digital Product Development and Capability Building
• New Forms of Organizing (e.g., platforms, ecosystems, etc.)
• Corporate Innovation and Intrapreneurship
• Technology Entrepreneurship and New Venture Creation
• New Digital and AI-Enabled Business Models
• Digital Social Innovation and Social Entrepreneurship
• Digitally Enabled Social Intermediation and Inclusion
• Innovation in Human–AI Collaboration, Augmentation, and Work
• Ethics, Governance, and Responsible Innovation

Associate Editors:

• Suchit Ahuja, Concordia University, Canada
• Mousa AlBashrawi, King Fahd University of Petroleum & Minerals, Saudi Arabia
• Mohammed AlMarzouq, Kuwait University, Kuwait
• Jumanah Alshehri, Imam Abdulrahman bin Faisal University, Saudi Arabia
• Mona Alyami, Taif University, Saudi Arabia
• Benjamin Ampel, Georgia State University, USA
• Jade Brooks, University of Auckland Business School, New Zealand
• Wooje Cho, Seoul National University, South Korea
• Danielly de Paula, University College Cork, Ireland
• James Denford, Royal Military College of Canada, Canada
• Pradeep Hota, IIM Udaipur, India
• Araz Jabbari, Universite Laval, Canada
• Jennifer Jewer, Memorial University of Newfoundland, Canada
• Abhishek Kathuria, Deakin University, Australia
• Amarolinda Klein, Fundação Getulio Vargas – FGV-EAESP, Brazil
• Andrea Lagna, The University of Manchester, United Kingdom
• Thang Le Dinh, Université du Québec à Trois-Rivières, Canada
• Brian Lee, Pennsylvania State University, USA
• Nadège Levallet, University of Maine, USA
• Hongfei Li, The Chinese University of Hong Kong, Hong Kong
• Rubén Mancha, Babson College, USA
• Moksh Matta, Simon Fraser University, Canada
• Camille Meyer, University of Cape Town, South Africa
• Probal Mojumder, IIM Udaipur, India
• Nik Rushdi Hassan, University of Minnesota, USA
• Mysore Seshadrinath Sandeep, University of New South Wales, Australia
• Sujeet Sharma, IIM Nagpur, India
• Dhirendra Mani Shukla, IIM Lucknow, India
• Dennis Steininger, RPTU Kaiserslautern-Landau, Germany
• Ning Su, University of Western Ontario, Canada
• Ferdinand Thies, Bern University of Applied Sciences, Switzerland
• Sambit Tripathi, Portland State University, USA
• Gianluigi Viscusi, Linkoping University, Sweden
• Anqi Wu, Florida International University, USA
• Ben Ampel, Georgia State University, USA

Track Chairs:

Hind Benbya

benbya@gmail.com 

Hind Benbya is the Dean of the Business School at Western Sydney University. She previously served as Head of School and Founding Director of the Centre for Artificial Intelligence and the Future of Business at Deakin University. Her career spans over two decades of senior leadership across Australia, Europe, and the USA, with a strong focus on digital innovation, IT-enabled transformation, and artificial intelligence. Her work has appeared in MIS Quarterly, the Journal of Management Information Systems, MIT Sloan Management Review, MISQ Executive, among others. She is currently senior editor of the MISQ Executive, and editor of MISQ Curations.

Franz Strich

franz.strich@uni-paderborn.de 

Franz Strich is Professor of Business Information Systems with a focus on Digital Responsibility at the University of Paderborn, where he leads research and teaching on the ethical, societal and governance challenges posed by digital transformation and advanced technologies such as generative artificial intelligence. His work spans how AI reshapes professional roles, organisational practices and digital platform governance, and he has published extensively on topics including unintended consequences of AI systems, human-machine interaction and responsible digital innovation.

Ning Nan

Ning.Nan@sauder.ubc.ca 

Ning Nan is an Associate Professor of Management Information Systems in the Sauder School of Business at the University of British Columbia. Her research applies complex adaptive systems theory and agent-based modeling to examine the uses and impacts of information and communication technology on business and society. Her current research topics include the application of digital technologies to social justice issues, climate change, and smart cities. Ning Nan has published in MIS Quarterly, Journal of Management Information Systems, and Journal of the Association for Information Systems, among others. She is currently serving as Associate Editor for Information Systems Research.

 Xiao Xiao

xx.digi@cbs.dk

Xiao Xiao is an Associate Professor at Copenhagen Business School, Department of Digitalization. She received her PhD in information systems from Washington State University, USA. Her main research areas include digital platforms and digital services with a specific focus on digital commerce in China, qualitative research methodologies, and sports digitalization. Her research has appeared in premier IS journals such as MIS Quarterly, Journal of Management Information Systems, Journal of Information Technology, Information Systems Journal, Information and Management, and MISQ Executive. She is on the editorial boards of MIS Quarterly and European Journal of Information Systems. She received the AIS (Association for Information Systems) Early Career Award in 2019 and the Sandra Slaughter Service Award in 2018.

Abhay Nath Mishra

amishra@uark.edu  

Abhay Nath Mishra is Professor of Information Systems at the Sam M. Walton College of Business at University of Arkansas at Fayetteville. His research has been published in prestigious journals and conferences in business and healthcare. His research has won awards at major international conferences, and he has won many research, teaching, and editorial service-related awards. He is an Associate Editor at Information Systems Research. His current research interests and projects focus on AI and healthcare; Gen AI and firm performance; AI, patents and innovation; AI and B2B commerce; telehealth; and sharing economy platforms. He has served as Track Co-chair and Conference Co-chair of ICIS and CIST. He has given more than 50 talks at more than 40 universities on three continents. 

Track Description:

Artificial intelligence (AI) and other digital technologies and infrastructures are reshaping the foundations of organizational strategy, governance, and transformation at an unprecedented pace. Breakthroughs in predictive analytics, automation, and generative technologies are permeating business processes, altering decision-making, redefining organizational boundaries, and challenging long-held assumptions about how digital technologies create value. Firms now face both extraordinary opportunities and disruptive pressures as AI-enabled systems transform modes of organizing, governance mechanisms, and strategic alignment.

The consumerization of IT and the widespread availability of powerful digital tools empower employees to adopt and implement systems with minimal oversight, accelerating innovation but also raising critical questions about risk management, accountability, and control. Simultaneously, digital platforms and ecosystems are revolutionizing how organizations interact with customers, partners, and competitors. Platform strategies demand careful navigation of interdependencies, balancing openness and control, stability and agility, and competing demands for value sharing. Emerging IoT infrastructures and intelligent devices further complicate governance as organizations deploy technologies across both physical and digital environments, from critical infrastructure to everyday consumer products.

This period of profound digital transformation requires scholars and practitioners to revisit theories of strategic management, governance, and value creation. The diffusion of AI and related technologies amplifies societal and sustainability considerations, including ethical implications, workforce impacts, and the design of inclusive and resilient digital futures. This track invites original, high-quality research that advances our understanding of organizational strategy, governance, and transformation in the age of intelligent digital technologies. We welcome interdisciplinary perspectives from information systems, strategy, economics, and organizational theory, as well as diverse methodological approaches—qualitative, quantitative, experimental, computational, and design science. Submissions should deliver strong theoretical contributions and actionable insights for practice.

Topics of interest include, but are not limited to: 

• AI-enabled strategic decision-making
• Governance challenges in autonomous systems
• Risk management in AI-driven organizations
• Employee empowerment through consumerized IT
• Strategy and governance implications of digital platforms and ecosystems
• Platform strategies and ecosystem governance
• Balancing openness and control in digital platforms
• IoT infrastructures and organizational transformation
• Generative AI and the future of work
• Ethical implications of AI in governance
• AI-driven reconfiguration of organizational boundaries
• Strategic alignment in digitally transformed firms
• Societal impacts of intelligent digital technologies
• Sustainability and resilience in AI ecosystems
• Interdisciplinary approaches to AI governance
• Design science contributions to AI-enabled transformation

Associate Editors:

• Shivendu Pratap Singh, Southern Illinois University Edwardsville, USA
• Muller Cheung, Deakin University, Australia
• Kris Mirkowski, Deakin University, Australia
• Randy Wong, University of Auckland, New Zealand
• Joaquin Rodriguez, Grenoble Ecole de Management, France
• Emmauel Ayaburi, Baylor University, USA
• Kazem Haki, HEG Geneva (Haute école de gestion de Genève), Switzerland
• K. Valerie Carl, Goethe University Frankfurt, Germany
• Ioanna Constantiu, Copenhagen Business School, Denmark
• Jiahe Chen, Western Sydney University, Australia
• Matti Mäntymäki, University of Turku, Finland
• Katharina Drechsler,  University of Cologne, Germany
• Lorenn Ruster, Australian National University, Australia
• Biagio Palese, Illinois State University, USA
• Edward Bernroider, Vienna University of Economics, Austria
• Benjamin van Giffen, University of Liechtenstein, Liechtenstein
• Zachary Sheffler, University of Massachusetts Amherst, USA
• Josephine Mago Moritz, University of Munster, Germany
• Andreas Ihl, University for Continuing Education Krems, Austria
• Kim Strunk, University of Passau, Germany
• Timo Sturm, Technical University Darmstadt, Germany
• Hofeditz Lennart, Hochschule Niederrhein, Germany
• Ankur Arora, University of Memphis, USA
• Bowen Lou, University of Southern California, USA
• Chengxin Cao, City University of New York, USA
• Christina Y. Jeong, University of Hawaii at Manoa, USA
• He Li, Clemson University, USA
• Jeffrey Clement, Augsburg University, USA
• Yifei Wang, University of New Hampshire, USA
• Martin Adam, University of Göttingen, Germany
• Nina Schirrmacher, University of Sydney, Australia
• Dominik Siemon, LUT University, Finland
• Annika Baumann, Weizenbaum Institute and University of Potsdam, Germany
• Alessandra Lazazzara, University of Milan, Italy
• Jeanine Kirchner-Krath, University of Koblenz, Germany
• Jonathan Wareham, ESAD, Spain
• Nilesh Saraf, Simon Fraser University, Canada
• Jin Gerlach, University of Passau, Germany
• Huseyin Tanriverdi, University of Texas, Austin, USA
• Abhijith Anand, University of Arkansas, USA
• Huigang Liang, University of Memphis, USA
• David Preston, Texas Christian University, USA
• Mariana Andrade, University of Georgia USA
• Ali Tafti, University of Illinois Chicago, USA
• Chaoqun Deng, City University of New York, USA
• Yash Shrestha, UNIL, Switzerland
• Babak Amin Farshchian, NTNU, Norway

Track Chairs:

Thomas Kude

thomas.kude@uni-bamberg.de 

Thomas Kude is a professor at the University of Bamberg, where he holds the chair of information systems and platform economy. He previously was an associate professor at ESSEC Business School. He received his Ph.D. from the University of Mannheim. His current research interests include digital platform ecosystems, data platforms, and software development teams. His work has been published in MIS Quarterly, Information Systems Research, Information Systems Journal, and other outlets. He serves as an associate editor for Business & Information Systems Engineering.

Tabitha L. James

tajames@vt.edu 

Tabitha L. James is an R.B. Pamplin Professor in Business Information Technology at Virginia Tech. She holds a Ph.D. in management information systems from the University of Mississippi. Her current research interests include artificial intelligence, health IT, privacy, and security. Her work has been published in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Information Systems Journal, and other outlets. She is an associate editor at MIS Quarterly and a senior editor at the European Journal of Information Systems.

Cheng Zhang

zhangche@fudan.edu.cn 

Cheng Zhang is Professor and Chair of the Department of Information Management and Business Intelligence at Fudan University, China. His research focuses on IT business value, platform strategy, and AI for business. He has published more than 40 articles in leading journals, including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, INFORMS Journal on Computing, Production and Operations Management, Marketing Science, and Journal of Marketing. He currently serves on the editorial boards of Information & Management and AIS Transactions on Human–Computer Interaction.

 Steven L. Johnson

steven@virginia.edu 

Steven L. Johnson is ​a f​aculty member at the University of Virginia School of Commerce​ and ​i​s a Faculty Lead​ of the Digital Technology for Democracy Lab at the University of Virginia Karsh Institute of Democracy. His research adopts a sociotechnical systems perspective that considers how the intersection of technology, people, processes, and data impacts individuals, organizations, and society. ​His research has appeared in outlets including MIS Quarterly, Information Systems Research, and Organization Science. He serves as a Senior Editor at Information Systems Research​ (effective July 1, 2026).

Track Description:

Digital platforms have become a dominant organizational form for socio-economic activity, enabling new modes of value creation, exchange, and innovation at scale. The sharing economy allows individuals and organizations to exchange underutilized assets or resources for monetary gains at low transactional costs. Under this broad umbrella, platform-mediated value creation can stem from user-owned assets (e.g., Airbnb and Uber), or take place through the renting of company-owned resources (e.g., CitiBike and Lime).

Fueling the explosion of the sharing economy are multi-sided digital platforms which, by connecting actors throughout the world for little marginal cost, facilitate interactions, transactions, and innovation in a seamless fashion across a variety of contexts: finance, entertainment, software development, dating, and transportation, to name a few.

Many of these emerging business models would not have been possible without the growing societal transition into distributed modes of innovation and production, e.g., in the context of mobile apps, that leverage the capability of digital platforms and technological infrastructures to orchestrate the coordination of distributed and heterogeneous individuals and organizations.

The sharing economy has also driven new ways of working because these platforms connect workers to people who will pay for tasks to be completed, as exemplified on Uber, DoorDash, and Upwork. Artificial intelligence (AI) is increasingly being used to coordinate and manage these connections, shape platform governance, as well as efficiently manage operations and pricing. The continued integration of AI into sharing economy apps gives rise to issues surrounding algorithmic management, trust, privacy, and security as AI coordinates and controls, and in doing so absorbs massive quantities of data.

We welcome papers that examine questions relating to the above topics from diverse perspectives, which include but are not limited to different theoretical orientations, methodological approaches, and levels of analysis. We encourage work that provides insights into the future of digital platforms, the sharing economy, and crowd-based modes of innovation and production.

Topics of interest include, but are not limited to:

• New theoretical perspectives and novel methodological approaches for researching digital platform, the sharing economy, and crowd-based modes of innovation and production
• Platform-enabled business models underlying the sharing economy, and crowd-based modes of innovation and production
• Digital platforms, sharing economy, and crowd-based modes of entrepreneurship, crowdfunding, crowdsourcing, innovation, and production, including in highly regulated industries, such as healthcare or education
• Efficiency, fairness, and inclusivity of digital platforms, the sharing economy, and crowd-based models
• Reputation, trust, security, and privacy in the sharing economy, digital platforms, and crowd-based models
• Economic, ecological, legal, regulatory, geo-political, social, and technological implications of the sharing economy, digital platforms, and crowd-based models
• Individual decision-making in the sharing economy, digital platforms, and crowd-based models
• Digital labor markets and management of workers with AI in the sharing economy
• Deployment of AI on multi-sided platforms for facilitating crowd-based modes of innovation and production
• Deployment of AI for efficiency, operations, and customer service on platforms, including utilizing AI platforms, data platforms, data spaces, and data work
• Governance, control, and orchestration in digital platform ecosystems
• Platform openness, modularity, and boundary resources
• Competition, complementarity, and value capture in platform ecosystems
• Algorithmic governance and decision-making in digital platforms
• Enterprise digital platforms and internal platformization strategies

Associate Editors:

• Lior Zalmanson, Tel Aviv University, Israel
• Brent Kitchens, University of Virginia, USA
• Chen Liang, University of Connecticut, USA
• Alex Wang, University of New Mexico, USA
• Wencui Han, Stony Brook, USA
• Alice Jang, Virginia Tech, USA
• Aravinda Garimella, University of Illinois, USA
• Felix Tan, University of Sydney, Australia
• Rob Gleasure, Copenhagen Business School, Denmark
• Peijiang Song, Nanjing University, China Mainland
• Youwei Wang, Fudan University, China Mainland
• Cenying Yang, City University of Hong Kong, Hongkong
• Qi Zhang, SouthWest JiaoTong University, China Mainland
• Dandang Qiao, National University of Singapore, Singapore
• Nila Zhang, Fudan University, China Mainland
• Yuxin Huang, Soochow University, China Mainland
• Yan Li, Essec Business School, France (Singapore Campus)
• Yueyue Zhang, University of Nottingham Ningbo, China Mainland
• Grace Gu, University of Southern California, USA
• Miaomiao Liu, Xi’an Jiaotong-Liverpool University, China
• Jiding Zhang, Arizona State University, USA
• Sherry He, Michigan State University, USA
• Baojun Gao, Wuhan University, China
• Jifeng Luo, Shanghai JiaoTong University, China Mainland
• Manuel Wiesche, Technical University of Munich, Germany
• Dimitri Petrik, University of Stuttgart, Germany
• Maximilian Schreieck, University of Innsbruck, Austria
• Thomas Huber, ESSEC Business School, France
• Christian Peukert, HEC Lausanne, Switzerland
• Karoline Glaser, TU Dresden, Germany
• Jochem Hummel, Warwick Business School, UK
• Donato Cutolo, IE University, Spain
• Tobias Kretschmer, Imperial College London, UK
• Ben Eaton, Copenhagen Business School, Denmark

Track Chairs:

Kunsoo Han

kunsoo.han@mcgill.ca 

Kunsoo Han is a Bensadoun Faculty Scholar and an associate professor of Information Systems at Desautels Faculty of Management of McGill University. He received his PhD from University of Minnesota, and his BS and MS from Korea Advanced Institute of Science and Technology (KAIST). Prior to joining the academia, he worked at a large IT consulting company in Korea. He teaches undergraduate courses on Systems Analysis and Modeling and Information Systems, and a PhD seminar on Economics of IT. His research interests include IT outsourcing, business value of IT, societal impacts of IT, and IT-enabled channels. His work has been published in Information Systems Research, Management Science, MIS Quarterly, Production and Operations Management, Journal of Management Information Systems, and MIT Sloan Management Review among others. He is serving as a Senior Editor for Production and Operations Management.

Chee Wei (David) Phang

CheeWei.Phang@nottingham.edu.cn 

Chee Wei (David) Phang is currently Chair Professor of Behavioural Insights and Decision Sciences. and Head of the EMM Department, at the University of Nottingham Ningbo China (UNNC). Prior to joining UNNC, he was Professor in Information Systems in the School of Management of Fudan University. His research interests include mobile commerce, social media, and societal impact of IT. His works have appeared in top-tier journals including the Management Science, MIS Quarterly (MISQ), Information Systems Research (ISR), Journal of Marketing, Journal of Management Information Systems (JMIS), and Journal of the Association for Information Systems, among others. . He is serving as an Associate Editor for Journal of the Association for Information Systems and Information & Management, and an Editorial Review Board member of Information Systems Research, and was a Senior Editor for Electronic Commerce Research and Applications.

Miria Grisot

miriag@ifi.uio.no 

Miria Grisot is a professor in the Department of Informatics at University of Oslo. Her research interests include information Infrastructures, digital ecosystems, digitalisation of work, design of Information Infrastructures, healthcare, remote care, AI in context, data work, and collaborative work.

Track Description:

The “IoT, Public IS, and Infrastructure” track examines the critical role of the Internet of Things (IoT), along with associated digital infrastructures and platforms, in transforming public sector services, governance, and societal development. As governments worldwide increasingly deploy vast networks of interconnected physical devices and other advanced technologies (e.g., AI) to support various public initiatives, it is essential to understand the potential and challenges these systems bring to public administration and critical infrastructure.

This track seeks contributions investigating the design, implementation, use, and impact of public IS enabled by IoT and other digital technology and infrastructure. We are interested in how these technologies are transforming traditional public administration, enhancing service delivery, creating public value, and fostering inclusion.

Given the immense, real-time data generated by IoT devices, the track is particularly interested in submissions exploring how artificial intelligence (AI) and big data analytics are leveraged to drive innovation in public infrastructure. We welcome studies on predictive maintenance, AI-powered decision-making in urban planning, and the governance challenges of using IoT-derived data in public service delivery.

We encourage submissions across different methodologies and research designs, including case studies, field experiments, design science, and theoretical work. Cross-disciplinary perspectives grounded in IS and intersecting with fields like economics, political science, and sociology are also welcome. Overall, this track seeks to create a comprehensive dialogue on the strategic role, managerial challenges, and societal impact of integrating IoT into public sector information systems and critical infrastructure.

Topics of interest include, but are not limited to:

• The design, architecture, and deployment of infrastructure and platforms in government and public organizations.
• The use of IoT, AI, big data, blockchain and mixed reality technologies for smart city and smart community development and governance.
• Data governance, security, and privacy challenges surrounding the collection, ownership, and use of sensor data in public spaces.
• Ethical implications and accountability of AI/IoT-driven decision-making, including issues like algorithmic bias and digital surveillance.
• The role of IoT and public digital infrastructure in advancing public sector sustainability and addressing climate change and environmental monitoring.
• Digital inclusion and the social/economic impacts of IoT and public IS adoption on various societal groups.
• New organizational and business models for public agencies managing and monetizing IoT data and public digital platforms.
• Digital transformation in government and public services
• Advances in theories and concepts of infrastructure studies
• AI in public infrastructure: Opportunities and risks
• Governance of large-scale public IS projects
• Digital inclusion and accessibility in public services
• Cybersecurity and privacy concerns in public IS
• Data governance in public sector information systems
• Cross-sector collaborations and digital public goods
• Open government data and transparency initiatives
• Public trust and legitimacy in digital government platforms
• Public-private partnerships in IS infrastructure development
• User-centric design of IoT-enabled service platforms
• IoT-enabled circular economy, sustainability, and environmental management

Associate Editors:

• Gwanhoo Lee, American University, USA
• Sunghun Chung, George Washington University, USA
• Inmyung Choi, Texas Tech University, USA
• Kyunghee Lee, McGill University, Canada
• Kyung Young Lee, Dalhousie University, Canada
• Yang Pan, Tulane University, USA
• Bogdan Negotia, HEC Montreal, Canada
• Matthew Hashim, University of Arizona, USA
• Camen Teh, NEOMA Business School, France
• Ya Zhou, Xiamen University, China
• Yicheng Zhang, Huazhong University of Science and Technology, China
• Qingxin Meng, University of Nottingham Ningbo China, China
• Xinlin Yao, Nankai University, China
• Runyu Shi, University of Sussex, England
• Emma Gritt, University of Leeds, England
• Joan Rodon Modol, ESADE, Spain
• Pooja Mohanty, NTNU, Norway
• Bikesh Upreti, University of Queensland, UK

Track Chairs:

Yu Tong

tong_yu@zju.edu.cn 

Yu Tong is a professor in Information Systems at School of Management at Zhejiang University. Her research interests cover health information technology, digital transformation, digital collaboration. Her work has been accepted or published in journals such as MIS Quarterly, Information Systems Research, Production and Operations Management, Journal of Management Information Systems, Journal of the Association for Information Systems, and Information & Management. She has chaired several grants including Major Fund and Outstanding Youth Fund from National Natural Science Foundation of China, General Research Fund from Hong Kong Research Grant Council. She also received Early Career Award from Hong Kong university grants committee and several research and best paper awards.

Polyxeni (Xenia) Vassilakopoulou

polyxenv@uia.no 

Polyxeni (Xenia) Vassilakopoulou is a Professor in Information Systems at the University of Agder. Her research investigates the transformative potential of digital technology, the implications for work, organizations, and societies and the design of digital technology-enabled interventions including AI. She has been investigating these within healthcare looking into infrastructural evolution, data governance and datafication, human-centeredness, inclusion and digital divides, institutional pluralism and value-aligned design. Her research has been published in leading journals including Information Systems Journal, European Journal of Information Systems, Information and Organization, Journal of Strategic Information Systems, Communications of the Association for Information Systems, Journal for Computer Supported Collaborative Work and the Scandinavian Journal of Information Systems. She is the recipient of multiple best paper awards and she has been a Fulbright scholar and EEA grant recipient.

Niam Yaraghi

niamyaraghi@miami.edu 

Niam Yaraghi is a tenured Associate Professor of Business Technology at Miami Herbert Business School at the University of Miami where he also holds a secondary appointment as an Associate Professor of Health Management & Policy. In addition, he holds a secondary appointment as an Associate Professor in the Department of Informatics and Health Data Science at the Miller School of Medicine. He is also a Nonresident Senior Fellow at the Brookings Institution’s Center for Technology Innovation. Professor Yaraghi’s research centers on the economics of health ,.information technologies. He focuses on developing business models and policy frameworks that promote transparency, interoperability, and data sharing among patients, providers, payers, and regulators. His work has appeared in leading academic journals in information systems, healthcare management, and public policy, and has informed both industry practice and legislative initiatives related to health information technologies. He received a B.Sc. in Industrial Engineering from the Isfahan University of Technology (Iran), an M.Sc. in Project Management and Operational Development from the Royal Institute of Technology (Sweden), and a Ph.D. in Management Science & Systems from the State University of New York at Buffalo. His interdisciplinary background supports his commitment to advancing health information systems research at the nexus of technology, policy, and patient-centered care.

Aaron Baird

aaron.baird@colostate.edu 

Dr. Baird specializes in health IT/analytics, digital health, and the application of AI to business contexts. His current research focuses on causal machine learning, estimation of heterogeneous treatment effects, and how AI systems shape organizational coordination, decision-making, and attention dynamics. He won the Early Career and Mid-Career Awards from the Association for Information Systems and has published in journals such as MIS Quarterly, Information Systems Research, Journal of the Association for Information Systems, Journal of Management Information Systems, Nature Mental Health, Decision Support Systems, JAMIA Open, and Health Services Research. He teaches courses on how to use data, analytics, and AI to solve business problems. He is a Senior Editor at the Journal of the Association for Information Systems and is on the Editorial Review Board for Information Systems Research.

Track Description:

Healthcare and wellbeing are being reshaped by digital technologies and data-intensive practices. Beyond clinical care, information systems (IS) are central for healthcare administration and are becoming increasingly central to supporting healthy lifestyles and illness prevention, social connectedness, and overall wellbeing. Across scales, from large health systems to wellbeing apps and wearable devices, IS is transforming healthcare and wellbeing.

Digital health and wellbeing applications including health record systems, telehealth, remote monitoring, mobile platforms, VR/AR, and robotics continue to transform care delivery, patient and user experiences and expectations, and the relationship between people and technologies. These developments call for new empirical insights, theoretical advances, and critical reflection on how IS can support or complicate efforts toward healthier and more fulfilling lives.

IS is also an integral part of healthcare administration, allowing healthcare leaders to efficiently manage their organizations, and scholars to diligently examine the impact of various policies on both clinical and non-clinical outcomes. AI and advanced analytics further transform this landscape by shaping decision-making and providing new forms of clinical support and personalized engagement. They also come with potential in automating administrative workload on healthcare professionals and allowing more focus on patient care. These technologies hold great promise, but at the same time, they intensify debates around human oversight, professional roles, and the values that guide their design and use.

As wellbeing becomes a more explicit goal for health systems and societies, dedicated digital technologies increasingly start taking part in people’s everyday lives. These developments highlight the need to understand how wellbeing technologies shape identity, relationships, autonomy, and people’s sense of agency in managing their health and daily life.

This track welcomes innovative research examining the opportunities, challenges, and consequences of IS, data, and digital technologies for both healthcare and wellbeing. Submissions may draw on qualitative, quantitative, computational, conceptual, design science, and mixed-method approaches.

Topics of interest include, but are not limited to:

• Design, implementation, governance, and evaluation of healthcare and wellbeing information systems and related policies.
• Value alignment, ethics, and human oversight in digital health and wellbeing
• AI including generative AI in healthcare administration,, clinical, public health, mental health, and wellbeing contexts
• Wellbeing-oriented digital systems for lifestyle support, mental health, stress management, and behavior change
• Economics and value creation in digital health and wellbeing ecosystems
• Digital therapeutics (DTx): design, adoption, adherence, and evaluation
• New digital models of care delivery and wellbeing services
• Public, community, and population health informatics
• Telehealth, mobile health, and remote wellbeing monitoring
• User engagement, empowerment, personalization, and digital self-management
• Personalized and precision medicine and personalized wellbeing interventions using multimodal data
• Robotics, VR/AR, and immersive technologies supporting care, rehabilitation, and wellbeing
• Health and wellbeing oriented online communities, and peer-based support
• IS theorizing in healthcare and wellbeing contexts
• Conceptual papers, systematic reviews, meta-analyses, and evidence syntheses related to digital health and wellbeing

Associate Editors:

• Alexander Kempton, University of Oslo, Norway
• Ankita Srivastava, Bentley University, USA
• Anna Sigríður Islind, Reykjavik University, Iceland
• Chenzhang Bao, Oklahoma State University, USA
• Daniel Fürstenau, Freie Universität Berlin, Germany
• Dimitra Petrakaki, University of Sussex, United Kingdom
• Emre Demirezen, University of Florida, USA
• Hannes Rothe, University of Duisburg-Essen, Germany
• Hao Ding, Auburn University, USA
• Ji Wu, Sun Yat-Sen University, China
• Jiamin Yin, Renmin University of China, China
• Jong Lim, University of Miami, USA
• Masoud Kamalahmadi, University of Miami, USA
• Mehmet Ahsen, University of Illinois Urbana-Champaign, USA
• Mehmet Ayvaci, UT Dallas, USA
• Melanie Reuter-Oppermann, Technical University of Applied Sciences Würzburg, Germany
• Min Chen, Florida International University, USA
• Nina Boulus-Rødje, Roskilde University, Denmark
• Oliver Kayas, Liverpool Business School, Liverpool John Moores University, United Kingdom
• Petros Chamakiotis, ESCP Business School, France
• Pouria Akbarighatar, University of Agder, Norway
• Seokjun Youn, University of Arizona, USA
• Sezgin Ayabakan, Temple, USA
• Shujing Sun, UT Dallas, USA
• Sofie Wass, University of Agder, Norway
• Tala Mirzaei, Florida International University, USA
• Weiguang Wang, Johns Hopkins, USA
• Xiaofei Zhang, Harbin Institute of Technology, China
• Yi Shen, Soochow University, China
• Yi Wu, Tianjin University, China
• Yutong Guo, The Chinese University of Hong Kong, Shenzhen, Hong Kong
• Lemai Nguyen, Deakin University, Australia
• Xitong Guo, Harbin Institute of Technology, China
• Rebekah Eden, University of Queensland, Australia
• Yang Yang, Royal Holloway University, England
• Atif Sarwar, University of Liverpool, England
• Wei Zhao, Xi’an Jiaotong Unviersity, China
• Lin Qiu, Southern University of Science and Technology, China
• Yuan Sun, Zhejiang Gongshang University, China
• Jing Chen, Associate Professor at Beihang University, China
• Honglin Deng, Tongji University, China 

Track Chairs:

Hyeokkoo Eric Kwon

eric.kwon@ntu.edu.sg 

Dr. Hyeokkoo Eric Kwon is an Associate Professor in Information Technology and Operations Management at Nanyang Business School, Nanyang Technological University (NTU), Singapore. He holds a Ph.D. in Management Engineering with a specialization in Information Systems and a B.S. in Aerospace Engineering, both from KAIST. His research focuses on mobile analytics across FinTech, digital healthcare, AdTech, and digital platforms, and extends to broader digital innovation that transforms traditional practices and industries. His work has been published in leading journals such as Marketing Science, Information Systems Research, MIS Quarterly, Journal of Management Information Systems, Journal of Operations Management, and Production and Operations Management. Dr. Kwon serves as an Associate Editor at Information Systems Research and is a recipient of the INFORMS ISS Gordon B. Davis Young Scholar Award and the AIS Early Career Award.

De Liu

deliu@umn.edu 

Dr. De Liu is a Xian Dong Eric Jing Professor of Information and Decision Sciences at the Carlson School of Management, University of Minnesota. He received his Ph.D. from the University of Texas at Austin in 2014, and his Master’s and Bachelor’s degrees from Tsinghua University. His research interests include GenAI, chatbot, gamification, EduTech, platform economics, user generated content, and crowdfunding. His research has appeared in leading journals such as MIS Quarterly, Management Science, Information Systems Research, Journal of Marketing, Journal of Market Research, and Production and Operations Management. He severed as Associate Editor for Information Systems Research and Journal of Organizational Computing and Electronic Commerce. He is also the academic director of the Master of Science in Business Analytics program at the Carlson School of Management.

Dominik Gutt

dominik.gutt@rwth-aachen.de 

Dr. Dominik Gutt is Professor for Business Information Systems at RWTH Aachen University, Germany, where he holds the chair of Business Information Systems and Digital Transformation since October 2025. Previously, he worked at the Rotterdam School of Management at Erasmus University Rotterdam from September 2019 to September 2025 as an Assistant and Associate Professor. He obtained his PhD in Information Systems from Paderborn University in 2019. His research focuses on topics related to the Economics of Information Systems, especially user-generated content (e.g., online reviews, live streams, Q&A), web3 (NFTs and DAOs), and the effects of AI usage (chatbots, GAI). His work has been accepted at leading journals including Information Systems Research and MIS Quarterly. He served as an ERB member at Information Systems Research and is currently an Associate Editor at MIS Quarterly and Business & Information Systems Engineering (BISE). Among others, he received the AIS Early Career Award 2024, the MIS Quarterly Reviewer of the Year Award 2023, and the TARGION Research Award.

Track Description:

Digital and mobile commerce have transformed how businesses and consumers interact, conduct transactions, and engage in the marketplace. From early online shopping to today’s advanced AI-enabled platforms, the commerce landscape has evolved significantly, driven by rapid technological advancements. Among these, Artificial Intelligence (AI) plays a pivotal role in enhancing customer experiences and operational efficiency.

AI-powered algorithms enable businesses to analyze vast datasets, uncovering consumer preferences and behavior. This fuels personalized recommendations and targeted advertising, enhancing marketing effectiveness in both digital and mobile contexts. Deep learning further expands AI’s potential, powering chatbots, virtual assistants, and natural language processing tools that offer real-time customer support and personalized engagement.

In parallel, technologies like Augmented Reality (AR) and Virtual Reality (VR) are redefining the shopping experience. AR lets customers visualize products in their real-world settings, bridging the gap between physical and online retail. VR offers immersive virtual storefronts that elevate user interaction and engagement.

This track seeks papers that enhance our understanding of the economics around the design, implementation, and evaluation of emerging digital, social, and mobile technologies in various online, offline, and omni-channel contexts, including business-to-business and business-to-consumer commerce, location-driven advertising and targeting, omni-channel commerce and marketing, and live-commerce.

This track welcomes papers that further our knowledge of the technical, behavioral, design, strategic and economic issues associated with digital and mobile commerce. It encompasses studies on IT-enabled transactions among consumers, businesses, and other organizations, as well as the use of digital and mobile technologies for commerce within and across organizational boundaries. The track focuses on classical Econ of IS methods (econometric analyses, analytical modelling, experiments) but are receptive to submissions from all IS traditions and methodological approaches (including, for instance, qualitative studies, design science, conceptual work).

Topics of interest include, but are not limited to:

• AI Shopping agents and Agent-Based Commerce
• Augmented reality and virtual reality applications in mobile and e-commerce
• Auctions and pricing mechanisms in digital and mobile commerce
• Artificial intelligence and deep learning applications in digital and mobile commerce
• Creator economy and social commerce
• Big data analytics in digital and mobile commerce
• Economic impact of AI and Generative AI in digital commerce
• Economics of Digital goods, services, and digital marketplaces
• E-commerce and e-marketing in video games and the metaverse
• IT-enabled digital and mobile supply chain operation and management
• Mobile banking, mobile payment, and mobile advertising, marketing, and promotions
• Livestream commerce and voice-based commerce
• Location-based and context-aware services
• Omni-channel operations empowered by digital and mobile technologies
• Online consumer behavior and collaborative consumption through digital and mobile technologies
• Recommendation, personalization, and service innovation using digital and mobile technologies
• Reputation systems, rating systems, and their economic impact
• Trust, privacy, and security issues in digital and mobile commerce
• Web3, cryptocurrencies, NFT and their intersection with e-commerce/m-commerce

Associate Editors:

Track Chairs:

 Dubravka Cecez-Kecmanovic

Dubravka Cecez-Kecmanovic is Emeritus Professor at the UNSW Business School, Sydney, Australia. She employs critical, sociomaterial and process oriented research perspectives to study and theorize dynamic entanglements of the social and the technological and their performative effects in organizational and broader societal contexts. Her work has been published in the top IS journals, including MIS Quarterly, Journal of the AIS, Journal of Information Technology, European Journal of Information Systems, Information Systems Journal, The Journal of Strategic Information Systems and Information & Organization. She is Senior Editor of the Journal of Association of Information Systems.

 Jan Leimeister

JanMarco Leimeister: is Chair Professor and Managing Director of the Institute of Information Systems and Digital Business at the University of St. Gallen, Switzerland. He is also Director at the Research Center for IS Design at the University of Kassel, Germany, and an AIS Fellow. His work covers digital business, AI-driven value creation, digital service management, crowdsourcing, digital work, digital learning services, and hybrid intelligence. He has been internationally recognized for out-standing research, teaching, and education. He ranks repeatedly since 2009 among the top 1% of the most productive researchers and professors in Business Administration in the German-speaking area. He has served on the AIS Leadership Council, is Co-Editor in Chief of the Journal of Information Technology (JIT), and serves on the Editorial Board of the Journal of Management Information Systems and Information Systems Research. Dr. Leimeister is also an entrepreneur, and acts as senior advisor, board member, and keynote speaker for national and international organizations. His research has been funded by German, Swiss, and European Union ministries as well as by industry, foundations, and NGOs.

Sagar Samtani

Sagar Samtani: Dr. Sagar Samtani is an Associate Professor and Arthur M. Weimer Faculty Fellow in the Department of Operations and Decision Technologies in the Kelley School of Business at Indiana University, Bloomington. Dr. Samtani is the Founding Executive Director of Kelley’s Data Science and Artificial Intelligence Lab (DSAIL). DSAIL has 25+ Ph.D., MS, and BS students spanning information systems, finance, data science, computer science, public health, policy, and other disciplines. DSAIL has attained $9M+ of funding from sources such as the National Science Foundation (SFS, SaTC, CICI, Safe-OSE programs). He has published 100+ journal and conference papers in leading venues in information systems, computer science, AI, cybersecurity, and healthcare. His Ph.D. students have been placed in AAU or R1 universities. Dr. Samtani is a Founding Editor-in-Chief for the ACM Transactions on AI Security and Privacy. He has earned significant recognitions, including the NSF CAREER Award, IU Outstanding Junior Faculty Award, INFORMS ISS Design Science Award, and induction into the NSF/CISA CyberCorps Scholarship-for-Service Hall of Fame. Dr. Samtani has served in significant industry roles, most recently as the Director of the AI for Business Intelligence Research Center at Taiwan Semiconductor Manufacturing Company (TSMC; 2024 – 2025).

Track Description:

Discourse on digitalization is shifting from uncritical enthusiasm for technological innovation toward a more sober recognition of its risks and unintended consequences. While the transformative potential of digital technologies across all sectors of society is indisputable, it is increasingly questioned whether their development and deployment alleviate—or instead exacerbate—persistent challenges such as inequality, injustice, human rights violations, social polarization, environmental degradation, and global conflict. These concerns have fueled growing critique and the introduction of digital policies and regulations. Rapid advances in artificial intelligence further intensify these challenges and significantly complicate policymaking and regulatory efforts.

Globally, approaches to digital governance differ markedly. Major regions such as China, the US, and Europe pursue distinct regulatory strategies, ranging from rights-based protections and market fairness to industrial competitiveness and state control. Numerous governments, international organizations, and professional bodies have introduced policies aimed at safeguarding fundamental rights, supporting human well-being, ensuring fair competition, and mitigating specific technological risks. However, technological innovation consistently outpaces policy and regulatory cycles, creating a widening governance gap when regulatory regimes are not designed to be adaptive. This gap is exacerbated by technical complexity—particularly in AI, cloud computing, and encryption—which produces expertise asymmetries that make policymakers reliant on the very actors they seek to regulate. As a result, regulation is often shaped by industry feasibility or government interests rather than broader societal needs, and enforcement disproportionately targets smaller actors while dominant platforms remain largely unaffected.

Consequently, pervasive digitalization continues largely unchecked, accompanied by growing concentration of power, opaque and biased algorithmic decision-making, expanded surveillance, and persistent accountability deficits. These developments underscore the urgent need for research into forward-looking, effective, and democratically legitimate approaches to digital governance.

This track invites scholarly contributions that advance theoretical, empirical, and design-oriented understanding of digital policy and regulation, critically assess existing governance regimes, and explore how policy can foster an inclusive, equitable, and sustainable digital society.

Topics of interest include, but are not limited to:

• Global AI regulation and policy
• Technology implementation in high stakes scenarios
• Cybersecurity regulations
• Feasibility of technology policy integration
• Automated policy development
• Automated and computationally facilitated policy auditing
• Automated compliance development
• User perceptions for policy implementation and guidance
• Role of foreign entities of concern in technology policy development
• Semiconductor supply chain policies and regulations
• Civil society participation in policy making and regulatory processes
• Novel digital governance approaches ensuring accountability and democratic legitimacy
• Governance approaches preventing discrimination, surveillance, and socio-technical exclusion through digital systems and ensure protection of human rights, fairness and justice
• Policies and regulations effectively promoting innovation
• Comparative and interdisciplinary studies that address cross-jurisdictional regulation (differences among regulatory approaches in China, the US, EU, etc. and their implications)
• How can we, the IS community contribute to innovative thinking and distinct knowledge and expertise in and around policy and regulation? What are the notable examples of such contributions?

Associate Editors:

• Calvin Chan, Singapore University of Social Sciences, Singapore
• Carmen Leong, UNSW, Australia 
• Daniel Gozman, University of Sydney, Australia 
• Heiko Gewald, Neu-Ulm University of Applied Sciences‬, Germany
• Jenny Qianran Jin, Chinese University of Hong Kong, China
• Andreas Hein, University of St. Gallen, Switzerland
• Shazia Sadiq, University of Queensland, Australia 
• Nui Vatanasakdakul, Carnegie Mellon University Qatar, Qatar
• Hongyi Zhu, University of Texas at San Antonio, USA 
• Amy Lin, University of Texas at San Antonio, USA
• Kalle Lyytinen, Case Western University, USA
• Mahei Li, University of Kassel, Germany
• Michail Batikas, Nova SBE, Portugal 
• Noorminshah A.Iahad, Universiti Teknologi Malaysia, Malaysia
• Sandra Peter, University of Sydney, Australia
• Thomas Hess, LMU Munich, Germany
• Tom Butler, University College Cork, Ireland
• Wendy Currie, Audencia Business School, France
• Yunji Liang, Northwestern Polytechnical University, China

Track Chairs:

Jonna Järveläinen

jonna.k.jarvelainen@jyu.fi 

Jonna Järveläinen is an associate professor at the Faculty of IT, University of Jyväskylä, Finland. She received her Dr.Sc. (Bus. Adm. and Econ.) from the Turku School of Economics. Her research interests include interorganizational cybersecurity management, human role in organizational cybersecurity, game-based learning, and educational escape rooms. Her research has been published in Journal of the Association for Information Systems, International Journal of Information Management, Communications of the Association for Information Systems, etc. She currently serves as the Finnish editor for the Scandinavian Journal for Information Systems, and associate editor for the European Journal of Information Systems.

Richard D. Johnson

richard.d.johnson@wsu.edu 

Dr. Richard D. Johnson (Ph.D. University of Maryland) is an associate professor at the Carson College of Business at Washington State University Dr. Johnson has published over 60 articles on topics such as artificial intelligence, human resource information systems, computer self-efficacy, e-learning, and the digital divide. His research has been published in outlets such as Information Systems Research, the Journal of the Association for Information Systems, and Human Resource Management Review. Dr. Johnson is a Past Chair of AIS SIGHCI and is a Senior Editor at AIS Transactions on Human-Computer Interaction. He is also an editor of the books, Human Resource Information Systems: Basics, Applications and Future Directions and The Wiley Blackwell Handbook of the Psychology of the Internet at Work.

Lesley A. Gardner

l.gardner@auckland.ac.nz 

Dr. Lesley A. Gardner from the University of Auckland is an associate editor for the Communications of the Association of Information Systems (CAIS) and the Journal of Information Systems Education (JISE). With over 100 published articles and papers, she covers topics like computer-mediated learning and digital citizenship. She was a contributing member of the IS 2020 curriculum model for undergraduate information systems programs task force. As track co-chair for ICIS 2023 and PACIS 2024, Lesley is dedicated to increasing the conversation around education to meet the evolving needs of students and the industry. She also contributed to the IS2020 curriculum model for undergraduate information systems programs. She is a Senior Fellow of the Higher Education Academy (SFHEA) and an Information Technology Certified Professional (ITCP).

Track Description:

Emerging technologies create new pedagogical opportunities and challenges, enabling innovative uses of digital learning environments and technologies in educational institutions and beyond. Rapidly advancing capabilities in domains such as data analytics, cloud computing, as well as machine learning, generative AI, and other applications of artificial intelligence, offer the opportunity to change not only what we teach (curriculum) but how we teach (pedagogy). Many institutions strive to strike the right balance between traditional, online, and hybrid learning scenarios, offering viable options for diverse learning contexts. In addition, faculty and universities are struggling to develop effective strategies for integrating generative AI into pedagogical practices and developing effective ethical policies governing their use.

The Digital Learning and IS Curricula track offers IS scholars the opportunity to present and exchange conceptual ideas, implementations, and empirical findings on curriculum, pedagogy, learning environments, and pedagogical innovations, utilizing technologies to enhance teaching and learning in educational institutions and beyond. Advancements in generative AI are enabling new teaching methods, requiring updates to learning objectives and approaches, while also raising ethical challenges. This track invites scholarly work from multiple theoretical and methodological perspectives.

Topics of interest include, but are not limited to:

• Use of AI and analytics to understand and support learning
• Ethical issues related to the use of AI in education
• Pedagogical and curricular innovations in IS education
• Digital learning environments
• Game-based learning and teaching
• Leveraging technologies for pedagogy innovations
• Innovations in IS curriculum development
• IS education on emerging topics (analytics, crypto, security, AI, IoT, and more)
• IS education on emerging domains (FinTech, e-Government, healthcare, and more)
• Issues in IS education (global, ethical, social, and more)
• International teaching across institutions (changing the world of academia)
• Diversity, equity, and inclusion in IS education
• Personalization of learning through digital technologies
• Value of online/distance/hybrid education
• Accreditation and certification
• The role of micro credentials and certificates in higher education
• Theories of learning and pedagogy
• Interdisciplinarity of IS education
• Teaching cases
• Experiential/service learning studies
• Employer expectations of IS students
• Approaches for life-long learning and continuous education for IS professionals
• Development of IS curricula for non-academic stakeholders (e.g., executive education, life-long learning, and professional development)

Associate Editors:

• Tiina Koskelainen, University of Jyväskylä, Finland
• Hadi Ghanbari, Aalto University School of Business, Finland
• Hannu Salmela, University of Turku, Finland
• Andy Nguyen, University of Oulu, Finland
• Peter André Busch, University of Agder, Norway
• Thiemo Wambsganss, Bern University of Applied Sciences, Switzerland
• Sarah Hönigsberg, ICN Business School, France
• Anna Sell, Linnaeus University, Sweden
• Tania Prinsloo, University of Johannesburg, South Africa
• Riana Steyn, University of Pretoria, South Africa
• Craig Van Slyke, Louisiana Tech University, USA
• Amy Connolly, James Madison University, USA
• Long Nguyen, Washington State University, USA
• Jeff Cummings, UNC Wilmington, USA
• James Burleson, Cal Poly San Luis Obispo, USA
• Udayangi Muthupoltotage, University of Auckland, New Zealand
• Yvonne Hong, University of Victoria, Wellington, New Zealand
• Mark Thouin, UT Dallas, USA
• Ali Farooq, University of Strathclyde, United Kingdom
• Asli Akbulut, Grand Valley State University, USA
• Dinko Bačić, Loyola University Chicago, USA
• Saurabh Gupta, Kennesaw State University, USA
• Janice Sipior, Villanova University, USA
• Wael Soliman, University of Agder, Norway
• Andrew Urbacweski, University of Denver, USA
• Jalal Sarabadani, San Jose State University, USA
• Arzoo Atiq, University of Melbourne
• Tommi Tapanainen, Pusan National University, South Korea
• Shadi Esnaashari, Johns Hopkins University, USA
• Zhitao Yin, Hong Kong University of Science and Technology, Hong Kong / China

Track Chairs:

Alexander Richter

alex.richter@vuw.ac.nz 

Alexander Richter is Professor of Information Systems at the Wellington School of Business and Government and Co-Founder of “Human First – The Global Hub for Human-Centric AI”. His conceptual work emphasizes value-driven, future-oriented, and adaptive approaches to create sociotechnical systems that foster innovation, wellbeing and efficiency. His application-driven research, in collaboration with governmental agencies and companies on four continents, focuses on digital humans & the future of work, digital sovereignty & literacy as well as AI governance & risks.

Ulrike Schultze

u.schultze@rug.nl 

Ulrike Schultze is Professor of Information Systems at the University of Groningen (UG). She joined UG in 2022 after building her career in the United States. Her research explores the complex relationship between digitalization and practices in everyday (work) life. Prof. Schultze has studied the work practice implications of knowledge management technology and of Internet-based self-service technology. Her more recent research explores platform governance and the implications of social media on collective and personal identity. Her research has been published in leading information systems journals.

Aron Lindberg

alindber@stevens.edu 

Aron Lindberg is Associate Professor of Information Systems and Chair of the Information Systems & Analytics area at the School of Business, Stevens Institute of Technology. He studies how digital innovation is influenced by crowds and artificial intelligence, often using both qualitative and computational methods. His research has been published in journals such as MIS Quarterly, Information Systems Research, and Journal of the Association for Information Systems. He is an Associate Editor at MIS Quarterly.

Track Description:

We invite IS scholars to engage with fundamental questions of the nature and purpose of IS research and theory, to critically reflect on methodological developments and philosophical underpinnings, and to envisage advances that would inspire future scholarly endeavors.

As a fundamentally interdisciplinary field focused on digital technologies, IS research is particularly well-suited to both (1) thinking about philosophical, particularly epistemological, issues around digital phenomena from a variety of perspectives, and (2) novel methods and approaches, including those driven by AI and machine learning, that are emerging to explore and analyze these phenomena.

With the rapid advancement of AI and its integration into various aspects of society and technology, we invite scholars to explore how AI is transforming the field of IS, both in terms of research methodologies and the philosophical underpinnings of the discipline.

We encourage scholars to actively engage with future possibilities and challenges in the field of IS. By envisioning and theorizing about what lies ahead, we can collectively shape the trajectory of digital technologies and their impact on society.

Topics of interest include, but are not limited to:

• Advancements of design science, computational, qualitative, quantitative and future-orientated methods seeking to enable new insights into contemporary digital phenomena.
• Emerging debates on ontological, epistemological, axiological, and ethical foundations of IS and other social sciences, particularly in the context of AI and its pervasive influence on organisations and society.
• The emerging sources of data/evidence in IS research—opportunities for innovative methodologies and improvements in the process of theorizing, theory building, and theory testing.
• IS research shaping future societal outcomes: Investigating how IS can address upcoming global challenges such as sustainability, ethical AI, and digital inclusion, and the role of IS in crafting desirable futures.
• Philosophy of IS: reflections on the philosophical foundations of IS research, and related opportunities and limitations.
• Opportunities to bring in theories and methodologies from other fields that may lend themselves well to answering questions of interest to IS researchers.

Associate Editors:

• Jordan Suchow, Stevens Institute of Technology, USA
• Zhewei Zhang, Warwick Business School, UK
• Bei Yan, Stevens Institute of Technology, USA
• Feng Mai, University of Iowa, USA
• Daniel Nylen, Umeå University, Sweden
• Jingyi Sun, Stevens Institute of Technology, USA
• Johan Sandberg, Umeå University, Sweden
• Apostolos Filippas, Fordham University, USA
• Aaron Schecter, University of Georgia, USA
• Evelyn Ng, University of Sydney, Australia
• Saima Qutab, University of Auckland, New Zealand
• Shaoxin Wang, University of Sydney, Australia
• Tuure Tuunanen, University of Jyväskylä, Finland
• Yi-Te Chiu, National Tsing Hua University, Taiwan
• Andreas Drechsler, Victoria University of Wellington, New Zealand
• Michael Leyer, Queensland University of Technology, Australia
• Blair Wang, Curtin University, Australia
• Julian Marx, University of Melbourne, Australia
• Johanna Lorenz, TU Hamburg, Germany
• Kalina Staykova, Warwick, UK
• Stig Nyman, Copenhagen Business School, Denmark
• Marko Niemimaa, U. of Agder, Norway
• Sunny Whang, U of Massachusetts Boston, USA
• Nina Pandey, IIM Visakhapatnam, India
• Khoi Nguyen, University of Jyväskylä, Finland
• Wael Jabr, Penn State University, USA 

Track Chairs:

Hani Safadi

hanisaf@uga.edu 

Hani Safadi is an Associate Professor at the Terry College of Business, University of Georgia. He is interested in online communities, social media, health IT, information systems development, and the application of computational techniques in management research. His research has been published in prominent outlets, including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, Organization Science, and Journal of Medical Internet Research. He is a Senior Editor for the Journal of the Association for Information Systems and a former Associate Editor at MIS Quarterly.

Satish Krishnan

satishk@iimk.ac.in 

Satish Krishnan holds a Ph.D. in Information Systems from the National University of Singapore. He is a Professor in the Information Systems Area at the Indian Institute of Management Kozhikode (IIM Kozhikode), India, and a Visiting Professor in the Software Engineering Department at Lappeenranta-Lahti University of Technology (LUT University), Finland. His research focuses on the intersection of technology, human behavior, and society. He has published in journals including the Journal of Applied Psychology, Organizational Behavior and Human Decision Processes, Journal of Business Ethics, and Information & Management. He serves on the editorial boards of Information Technology & People, Internet Research, and Technological Forecasting and Social Change, and has held leadership roles at the Pacific Asia Conference on Information Systems (PACIS) and the International Conference on Information Systems (ICIS). In 2022, he received the Outstanding Young Management Researcher Award from the Association of Indian Management Scholars (AIMS International).

Hanna Krasnova

krasnova@uni-potsdam.de 

Hanna Krasnova is a professor of Information Systems at the University of Potsdam in Germany. She is also a director at the Weizenbaum Institute in Berlin, leading a research group “Well-Being in the Digital World.” She is a senior editor at the European Journal for Information Systems. Her research mainly focuses on understanding the implications of technology use for users, organizations, and society. Previously, she has been a program co-chair for the European Conference on Information Systems 2025 and a track chair at numerous tracks at ICIS, ECIS, and WI. She is the author of numerous research papers published in the leading journals and conference proceedings of the Information Systems field.

Track Description:

Social media is increasingly reshaping individuals, organizations, and societies. For individuals, social media sites serve as primary platforms for news, self-expression, interpersonal communication, social support, and community engagement. Organizations use these platforms to support customer interactions, develop and foster brand loyalty, leverage data-informed decision-making, expand global reach, and facilitate internal knowledge sharing. At the societal level, social media provides foundational infrastructure for social movements, public service efforts, civic participation, and political activism.

Despite their potential to enhance social connections, propel organisational collaboration, and contribute to global dialogue, collective action, and societal cohesion, social media platforms are increasingly in the public and scholarly spotlight, with debates highlighting their (unintended) negative consequences. On the societal level, research shows that while digital platforms enable new forms of collective action, online social activism faces unique challenges, including sustaining momentum, coordinating internally, and countering efforts by state or corporate actors to monitor, disrupt, or co-opt digital organizing. Further, concerns include the loss of trust in traditional information sources, the spread of misinformation and disinformation, and political polarization fueled by algorithmic filtering and echo chambers. On the individual level, the rise of hate speech and cyberbullying, privacy breaches through extensive data collection, and mental health issues dominate public and scientific discourse, calling for new interventions and novel approaches to platform regulation and governance. Especially, short-form video platforms such as TikTok and YouTube Shorts are reshaping how users, particularly young people, consume information, raising concerns about their potential to fuel addiction and problematic usage patterns.

In recent years, social media platforms have become the primary venues for deploying advanced automated technologies. Research has examined social bots and their significant role in shaping online discussions. These bots have evolved from simple automated scripts to sophisticated agents that can mimic human behavior with remarkable effectiveness. The integration of generative AI has significantly expanded bot capabilities, not only by increasing autonomy but also by enabling the creation of deceptive content such as deepfakes and, more recently, low-quality yet viral content called AI slop that floods online spaces, overwhelming other content.

In the organizational context, the shift to hybrid and remote work has increased reliance on digital workplace platforms. Indeed, organizations now use a wide range of digital collaboration tools, including project management systems, document-sharing platforms, instant messaging applications, and videoconferencing systems. While workers often have significant autonomy in choosing which tools to use, the growing reliance on these platforms creates unique challenges for organizational coordination, knowledge management, and workers’ well-being, blurring the boundaries between work and private life and leading to technostress. Existing research on enterprise social media (ESM) examines how these platforms shape organizational boundaries, power structures, and knowledge flows. As ESM and related technologies evolve, there is ongoing interest in examining their affordances, constraints for knowledge work, and implications for workers’ motivation, productivity, and mental health.

There are persistent calls to regulate social media, with strong opinions both for and against such regulation. Responding to these calls, governments and special interest groups increasingly seek to influence and control social media platforms. These efforts, however, are inherently complex, as regulators face tensions between censorship and free speech, and between users’ right to self-expression and the detrimental impact of idealized self-presentations on others. While social media was once hailed as a medium that could support democratic discourse, there are growing concerns regarding the power of a few large technology companies to control and steer public dialogue. In fact, research on the broad societal implications of social media platforms increasingly views them as a contested terrain for power and influence.

Inspired by the conference theme on digital collaboration and coexistence, this track aims to advance the development of new and impactful research perspectives on social media, including its role in users’ daily lives, organisational transformation, and societal outcomes. We aim to highlight issues, practices, and solutions relevant to the design of social media platforms, governance mechanisms, and regulatory measures. Methodologically, we solicit contributions employing a variety of designs, including, but not limited to, literature reviews, qualitative, mixed-methods, cross-sectional, computational, longitudinal, and experimental studies, as well as novel approaches to measuring social media use. Together, we hope that our track will contribute to a better understanding of the role social media plays in a modern society, including its benefits, (unintended) risks, and potential trajectories of future development.

Topics of interest include, but are not limited to:

• Misinformation, Disinformation, and Fact Checking
• Generative Content, Deepfakes, Synthetic Media, and AI Slop
• Platform Governance, Content Moderation, and Platform Responsibility
• Governance, Regulation, and Control of Social Media
• Algorithmic Influence and Platform Dynamics
• Emerging Technologies: Bots, Generative AI, and Autonomous Agents
• Algorithmic Management: Implications for Users and Regulators
• Online Organizing, Distributed Collaboration, and Collective Intelligence
• Social Media for Collective Action and Digital Activism
• Societal Implications: Polarization, Discrimination, Societal Cohesion
• Work, Organizations, and the Digital Workplace
• Enterprise Social Media and Digital Workplace Transformation
• Creator Economy
• Social Media Engagement: Antecedents and Consequences
• Privacy, Self-Disclosure, and Identity Management
• Measuring Social Media Use (e.g., logged use; trace data; screentime)
• Cyberbullying, Doxxing, Trolling, Hate Speech, and Online Incivility
• Mental Health, Digital Well-being, and Youth Development
• Emotional, Cognitive, Social, and Behavioral Outcomes of Social Media Use
• Social Media Addiction
• Loneliness in the Age of Social Media
• Online Support, Technostress, and Coping
• Dark Patterns and Addictive Designs
• Designing Interventions for Better Well-Being
• Digital Detox and Social Media Abstinence

Associate Editors:

• Tawei (David) Wang, DePaul University, USA
• Tianjian (TJ) Zhang, California State University Dominguez Hills, USA
• Carolina Salge, University of Georgia, USA
• Carolina Reis, University of Georgia, USA
• Scott Schanke, University of Georgia, USA
• Bin Zhang, Texas A&M University, USA
• Robin Tang, University of Northern Colorado, USA
• Jiahui Mo, Clemson University, USA
• Tanner Skousen, Brigham Young University, USA
• Timm Teubner, Technical University Berlin, Germany
• Hannes-Vincent Krause, Weizenbaum Institute and University of Potsdam, Germany
• Julia Seitz, Karlsruhe Institute of Technology, Germany
• Abdullah Albizri, Montclair State University, USA
• Adrija Majumdar, Indian Institute of Management Ahmedabad, India
• Anupriya Khan, Indian Institute of Management Ranchi, India
• Ben Krishna, Indian Institute of Management Kashipur, India
• Christina Shah, Management Development Institute Gurgaon, India
• Diksha Singh, Indian Institute of Management Indore, India
• Jithesh Arayankalam, Indian Institute of Management Raipur, India
• Krishnadas Nanath, Middlesex University, Dubai
• Kuttimani Tamilmani, University of Bradford, UK
• Mukesh Narmetta, Mahindra University, India
• Najmul Islam, LUT University, Finland
• Nargis Parvin, Indian Institute of Technology Madras, India
• Pramukh Vasist, Indian Institute of Management Kozhikode, India
• Rajhans Mishra, Indian Institute of Management Indore, India
• Supunmali Ahangama, University of Moratuwa, Sri Lanka
• Vidushi Pandey, Indian Institute of Management Kozhikode, India
• Margarita Gladkaya, University of Virginia, USA
• Adeline Frenzel-Piasentin, Neu-Ulm University of Applied Sciences, Germany
• Alona Zharova, Humboldt University of Berlin, Germany
• Olga Abramova, Leuphana University of Lüneburg, Germany
• Katharina Baum, Vienna University of Economics and Business, Austria
• Christine Witt, Central Michigan University, USA

Track Chairs

Jacqueline Corbett 

jacqueline.corbett@fsa.ulaval.ca

Jacqueline Corbett is Professor of Management Information Systems in the Faculty of Business Administration at Université Laval. She received her Ph.D. at Queen’s University. Jacqueline’s research focuses on the design and use of information systems (IS) to support sustainable development. Her papers have been published in diverse IS and management journals, including Journal of the Association for Information Systems, Information Systems Journal, Strategic Entrepreneurship Journal, Journal of Business Ethics, the International Journal of Information Management, and Communications of the Association for Information Systems. A Distinguished Member–Cum Laude of the Association for Information Systems (AIS), Jacqueline has served in leadership roles for the AIS Women’s Network College, the AIS Special Interest Group on Green IS (SIGGreen), and as Associate Editor for various IS conferences and journals. Jacqueline was Program Co-chair for AMCIS 2025.

Shuk Ying (Susanna) Ho

susanna.ho@anu.edu.au

Shuk Ying (Susanna) Ho is a professor at the Australian National University. She completed her PhD in the Hong Kong University of Science and Technology in 2004. Her research focuses on the areas of judgment and decision making, big data and data analytics, management turnovers and internal control material weaknesses, social media, and corporate social responsibility. Her publications have appeared in many of the top journals in the IS field. She has also served as senior editor for MIS Quarterly and AIS Transactions of HCI. Professor Ho received ANU’s Vice-Chancellor’s Citation for Outstanding Contribution to Student Learning in 2020. She received the MIS Quarterly Outstanding Associate Editor award in 2018. She received the Information Systems Research Best Reviewer Award in 2010.

Carsten Sørensen

cso.digi@cbs.dk

Carsten Sørensen is DIREC Professor in Digital Transformation within Department of Digitalization at Copenhagen Business School. He has been affiliated with several Danish, Swedish, Finnish, and British institutions, and worked 25 years at The London School of Economics and Political Science. His research is published widely, for example in MIS Quarterly, Information Systems Research, The Information Systems Journal, Journal of Information Technology, Information & Organization, The Information Society, Scandinavian Journal of Management, The CSCW Journal, Scandinavian Journal of Information Systems, and others. Carsten holds a BSc. in mathematics, an MSc in computer science and a Ph.D. in information systems from Aalborg University, Denmark. Carsten is on the editorial and advisory boards for several journals and has served as organiser, chair, associate editor, track chair, track co-coordinator etc for several international conferences.

Track Description

Track Title:

Professional Development Workshops

Track Chairs

Nina (Ni) Huang

nhuang@miami.edu

Nina Huang is a Professor of Business Technology at the Miami Herbert Business School, University of Miami, Florida. Nina’s expertise centers on understanding how digital technology can enhance user experiences and improve business outcomes. Huang’s research work has been published in premier journals such as Management Science (MS), MIS Quarterly (MISQ), Information Systems Research (ISR), Production and Operations Management (POM), Journal of Management Information Systems (JMIS), and Journal of Consumer Psychology (JCP). Nina currently serves as a Senior Editor at Production and Operations Management, an Associate Editor at Information Systems Research. She previously served as the Vice President of INFORMS Information Systems Society in 2023-2025 and an Associate Editor at MIS Quarterly in 2021-2024.

Zhepeng (Lionel) Li

zpli@hku.hk

Dr. Zhepeng (Lionel) Li is an associate professor of Information Systems in the IIM area at the Faculty of Business and Economics, The University of Hong Kong. His research focuses on computational design science, with an emphasis on leveraging machine learning and artificial intelligence technologies to address business and societal challenges. His work has been published in leading journals across disciplines, including Management Science, Information Systems Research, MIS Quarterly, and ACM Transactions. His studies have been supported by General Research Fund from the University Grants Committee of Hong Kong (GRF), Discovery Grant from the Natural Sciences and Engineering Research Council of Canada (NSERC), General Program from the National Natural Science Foundation of China (NSFC), and industrial sponsors. He has received ISS design science research award of INFORMS. Lionel currently serves as an Associate Editor at MIS Quarterly, Vice President of College on AI at INFORMS, and Co-chair of Summer Workshop on AI for Business.

Eric Monteiro

eric.monteiro@ntnu.no

Eric Monteiro is professor of Information Systems at the Norwegian Univ. of Science and Technology (NTNU) and adjunct professor at the University of Oslo. He is broadly interested in the transformation of work practices accompanying digitalization efforts — increasingly AI-enabled — in organizations. Anything but given, he is focused on the social, institutional and technical conditions for such transformation. He is responsible for the societal aspects in the NorwAI research centre, developing Norwegian LLMs that are fine-tuned to address selected, labour-intensive tasks in clinicians’ workflows in healthcare. In addition, he has a portfolio of research projects into digitalization of oil and gas in close collaboration with industry. He is part of the management group on BRU21, a large-scale, fully industry-funded national initiative in this sector. He has held many senior editorial and conference chair roles in IS journals and conferences.

Track Description

The Professional Development Workshops (PDW) Track will facilitate 90-minute sessions that actively engage ICIS participants to develop, update, and enhance their professional skills in research and teaching. We invite PDW proposals for expert-led, active learning on topics, theories, or methods related to IS research or teaching. In addition to conceptual discussions, we welcome demos and practical interaction with systems.

This year, we are especially interested in PDWs that tackle how AI is changing the nature of research. This is an issue that all scientific fields face. We call for PDWs willing to challenge our field to think boldly, differently, and imaginatively. How can the IS research field stay on the front foot as AI changes the many elements of the research workflow (from ideation to impact and back again). What can we do to prepare? What should we do?

We are open to all IS research traditions, including behavioral, organizational, economics, design, and data science, the intersections of those traditions, and even new traditions altogether.

In addition to research-oriented PDWs, a teaching PDW can demonstrate a novel method of instruction on an IS topic or employing a technology-enabled technique for IS education in a practical, hands-on manner.

To get an idea of the types and approaches used in PDWs at previous conferences, consider past examples from ICIS 2023 (https://aisel.aisnet.org/icis2023/pdw/) and ICIS 2025 (https://aisel.aisnet.org/icis2025/pdw/). Nevertheless, you need not be limited to these approaches. We welcome creative proposals from across the field.

Finally, please note that the PDWs will be offered during the regular ICIS schedule, rather than in the days preceding ICIS or after ICIS. Likewise, they will be held in 90 min slots so that they coordinate with other paper sessions. We hope this will enable greater participation in the PDWs during the conference.

Required Elements of PDW Proposals

1. Title
2. Abstract (< 100 words)
3. Organizers: Names, affiliations, e-mail addresses
4. Introduction / Relevance for IS Research or IS Teaching (< 50 words)
5. Topic areas / Presenter: Short description of the sub-topics conveyed—naming who will cover what (avoid any presentation of research insights per se)
6. Format: The approach to interaction among presenters and audience, including workshop schedule
7. Take away (must be different from the above)
8. Audience hardware / software requirements
9. Maximum number of participants
10. Organizers’ and presenters’ bio indicating their expertise in the PDW topic
11. Statement that all presenters are committed to deliver the PDW in a given ICIS time slot
12. References as relevant for the PDW description (avoid listing only your own research works related to the topic)

Review Criteria

• Topic: The PDW has the potential to draw a large audience
• Organizer and presenter expertise: Organizers and presenters exhibit requisite expertise in the topic/technique
• Take away and learning experience. The PDW provides clear take-aways and an active learning experience.

PDW Proposal Page Limit

• The PDW proposal (all inclusive) must not exceed five (5) pages and must conform to the ICIS 2026 submission template.

Associate Editors:

• Not applicable

See “Key Dates” for deadlines.