TRACK DESCRIPTIONS

Track Title:

Digital Platforms for Emerging Societies

Track Chairs

Panos Constantinides
University of Manchester
panos.constantinidesmanchester.acuk

Panos Constantinides is Professor of Digital Innovation at Alliance Manchester Business School (AMBS). He leads the Digital Transformation Research Group at AMBS and is also one of the co-founders of the European Digital Platforms Research Network (EUDPRN). His research investigates how organizations use digital technologies to co-create and capture value, while facilitating strategic transformation. His research has been published in journals such as Information Systems Research, MIS Quarterly, the Journal of Business Venturing, the Journal of the Association of Information Systems and Organisation Studies, among others. His research has also appeared in Concurrences, Competition Policy International, PYMNTS, MIT Sloan Management Review and other media outlets. Panos currently serves as a Senior Editor at MIS Quarterly and at Information & Organization.

Chee-Wee Tan
Hong Kong Polytechnic University
chee-wee.tan@polyu.edu.hk 

Chee-Wee Tan is a Professor at the Department of Management and Marketing in the Hong Kong Polytechnic University (PolyU). His research interests focus on design and innovation issues related to digital platforms. His work has been published in leading peer-reviewed journals such as Information Systems Research (ISR), Journal of Operations Management (JOM), MIS Quarterly (MISQ), Journal of Management Information Systems (JMIS), and Journal of the Association for Information Systems (JAIS), among others. Chee-Wee is holding or has held Honorary and Guest Professorship positions at Lingnan University (LNU), Monash University Malaysia (MUM), the University of New South Wales (UNSW), the University of Nottingham Ningbo China (UNNC), the University of Science and Technology of China (USTC), and the Weizenbaum Institute for the Networked Society. Additionally, Chee-Wee has served or is currently serving on the editorial boards for ACM Distributed Ledger Technologies: Research and Practice (DLT), Decision Support Systems (DSS), European Journal of Information Systems (EJIS), Industrial Management & Data Systems (IMDS), IEEE Transactions on Engineering Management (IEEE-TEM), Information & Management (I&M), Information Systems Journal (ISJ), Internet Research (IntR), JAIS, Journal of Computer Information Systems (JCIS), Journal of Management Analytics (JMA), JMIS, and MISQ. Finally, Chee-Wee is the Vice President of Publications for the Association for Information Systems.

Monideepa Tarafdar
University of Massachusetts Amherst
mtarafdar@isenberg.umass.edu

Monideepa Tarafdar is Charles J. Dockendorff Endowed Professor of Information Systems at Isenberg School of Management, University of Massachusetts Amherst. She has held / holds visiting appointments at MIT Sloan School, Indian Institute of Management Calcutta, Weizenbaum Internet Institute, Berlin and London School of Economics and Political Science. Her research has been funded by the Leverhulme Trust (UK) and the Economic and Social Science Research Council (ESRC-UK) and supported by companies in the US, UK, EU and India. She is Principal Investigator of secured funding of over 1.5 million USD. She is Scientific Adviser to a Dublin start-up that designs programs in wellbeing-oriented use of IT for schools and corporates, and has been an invited member of the policy sub-group on Digital Skills of the UK Government’s Department of Culture, Media and Sports. Her work has been published in leading journals in Information Systems and Operations Management and has been covered by outlets such as BBC, The Economist, Reuters, Boston Globe and Wired. She serves as Senior Editor at Information Systems Research and Journal of the AIS.

Track Description

The ICIS 2024 Theme Track on ‘Digital Platforms for Emerging Societies’ aims to examine the expansive role of digital platforms in driving economic and societal transformation across the globe. We conceive digital platforms as a collection of digital resources that facilitate value creating and capturing interactions between producers and consumers of services and products. For this reason, we take an encompassing view of digital platforms in that they could range from app marketplaces like the Apple App Store and OpenAI’s GPT Store to crowd platforms like Kaggle and Kickstarter, sharing economy platforms like Airbnb and Grab, social media platforms like Instagram and TikTok, as well as gig work platforms for food delivery, micro tasking, ride sharing. Although these digital platforms are to a certain extent global in their technical infrastructures, they tend to be localized in their economic and socio-cultural propositions, governance and organizing processes, as well as value creation and capturing opportunities. We are particularly interested in how these digital platforms influence community structures, social dynamics, and global economic trends given the diversity of value appropriability practices and regimes across the globe. Research analysing how digital platforms create socio-economic value, drive innovation strategies, revolutionize governance and organising processes, shape user behaviours, and/or the establishment of inclusive and sustainable digital platform ecosystems in different parts of the world would be a fit with the track. Additionally, we seek contributions that address broader challenges and future trends in the field of information systems. This covers a wide array of topics such as the cybersecurity, data privacy, digital divide, digital wellbeing, regulation into artificial intelligence, remote work, and the dominance of big tech actors. We especially welcome papers that focus on contextualized investigations of the above topics that focuses on emerging economies, for example, those in the Asia Pacific region.

Topics of interest include, but are not limited to:

  • Communal and societal value creation through digital platforms, with a particular emphasis on, but not limited to, emerging economies
  • Tensions between value creation and value capture on digital platforms for emerging economies
  • Datafication and data work
  • Data strategies for competitive advantage and fair treatment on digital platforms
  • Effects of platform governance and control mechanisms on user behaviours and outcomes
  • Humanistic and instrumental outcomes for digital platform stakeholders (e.g., content generators and consumers, gig workers, and users)
  • Implication of generative Artificial Intelligence for digital platforms
  • Incentives, impact, and/or trade-offs of antitrust and data regulation on digital platform ecosystem dynamics
  • Innovation strategies and user behaviours on digital platforms

Associate Editors:

  • Jonas Andersen, ITU, Copenhagen, Denmark
  • Pratyush Bharati, University of Massachusetts Boston, United States
  • Carla Bonina, University of Surrey, United Kingdom
  • Jingcun Cao, University of Hong Kong, China (Hong Kong)
  • Calvin Chan, Singapore University of Social Sciences, Singapore
  • Nicolai Fabian , University of Groningen, Netherlands
  • Mengyao Fu, City University of Hong Kong, China (Hong Kong)
  • Fangfang Hou, Xi’an Jiaotong-Liverpool University, China
  • Na Jiang, Beijing Normal University-Hong Kong Baptist University United International College, China
  • One-Ki Daniel Lee, University of Massachusetts Boston, United States
  • Zhanfei Lei, University of Massachusetts Amherst, United States
  • Boying Li, University of Nottingham Ningbo China, China
  • Eric Lim, UNSW Sydney, Australia
  • Christian Libaque Saenz, Universidad del Pacífico, Peru
  • Marta Stelmaszak, Portland State University, United States
  • Ning Su, Western University, Canada
  • Janina Sundermeier, Freie Universität Berlin, Germany
  • Bingqing Xiong, Deakin University, Australia
  • Jianhua Yu, Hong Kong Polytechnic University, China (Hong Kong)

Track Title:

General IS Topics

Track Chairs

Claudia Loebbecke
University of Cologne
claudia.loebbecke@uni-koeln.de

Since 2000, Claudia Loebbecke holds the Chair of Media and Technology Management at the University of Cologne. 2005-2006, she was President of the Association for Information Systems (AIS), which named her AIS Fellow in 2012, and a Distinguished Member cum laude in 2019. She is an elected Member of the Administrative Board of the Regional Public Broadcaster WDR (since 2021), of the European Academy of Sciences and Arts (since 2018), and of the European Academy of Sciences (since 2004).

Claudia Loebbecke received a Ph.D. in Business Administration from the University of Cologne, Germany (1995), and an M.B.A. from Indiana University, Bloomington, Indiana, USA (1991) – the latter supported by a Fulbright Scholarship (1986/87) and a DAAD Scholarship (1990/91). She holds the Executive Certificate ‘Management and Leadership’ from the Massachusetts Institute of Technology (MIT) and successfully completed MIT’s Course ‘Artificial Intelligence: Implications for Business Strategy’.

Between 1997 and 2015, she was seven years Senior Editor of the Information Systems Journal (ISJ) und twelve years of the Journal of Strategic Information System (JSIS). She has published more than 80 journal papers including in MISQ, JMIS, EJIS, JIT, and JSIS and frequently presents at prestigious academic conferences such as ICIS.

Carol Hsu
University of Sydney
carol.hsu@sydney.edu.au

Carol Hsu is a Professor at the University of Sydney Business School. She received her Ph.D. in Information Systems from the London School of Economics and Political Science. Her research interests focus on information security management, information technology adoption and digital transformation. Her work has been published in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Information Systems Journal, and other outlets. She has received the Sandra Slaughter Service Award from the Association of Information Systems. She currently serves as Senior Editor at the Journal of Strategic Information Systems and Information Systems Journal, and on the editorial board of the Journal of the Association for Information Systems, and the IEEE Transactions on Engineering Management.

Marco Marabelli
Bentley University
marco@bentley.edu

Marco Marabelli is a professor of Computer Information Systems and the associate director of the Hoffman Center for Business Ethics at Bentley University, where he currently teaches grad courses on business analytics; PhD classes on information systems theories and qualitative methods. Marco’s research focuses on the DEI implications associated with the use of emerging technologies (e.g., artificial intelligence, the metaverse) in organizations and society and the reasons behind institutional inertia in addressing potential misuses of algorithms. His current interest concerns the implementation of generative AI in the US healthcare system (private and public) and the potential negative effects for marginalized populations. Marco’s work has been published widely in top information systems and management journals and conferences.

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. Please check the fit of your paper with other tracks’ topics before submitting your paper to this track. The General IS Topics track furthermore provides the chairs of other tracks the opportunity to submit their manuscripts.

Associate Editors:

  • Lubna Alam, University of Deakin, Australia
  • Tamara Babaian, Bentley University, U.S.
  • Roman Beck, IT University of Copenhagen, Denmark
  • Marc Bidan, Nantes Université, France
  • Sameer Borwankar, McGill University, U.S.
  • Quang (Neo) Bui, Rochester Institute of Technology, U.S.
  • Zhao Cai, University of Nottingham Ningbo, China
  • Katharina Drechsler, University of Cologne, Germany
  • Galal Galal Edeen, American University in Cairo, U.S.
  • Elizabeth Han, McGill University, Canada
  • Keehyung (Kee) Kim, University of Waterloo, Canada
  • Kirstin Krauss, ,
  • Joyce Lee, National Chengchi University, Taiwan
  • Carmen Leong, University of New South Wales, Australia
  • David Murungi, Bentley University, U.S.
  • John Oredo, University of Nairobi, Kenia
  • Uchenna Peters, New Mexico State University, U.S.
  • Gero Strobel, University of Duesseldorf, Germany
  • Mylene Struijk, University of Sydney, Australia
  • Romilla Syed, University of Massachusetts Boston, U.S.
  • Ana Paula Tavares, Aporama, Brasil
  • Angsana Techatassanasoontorn, Auckland University of Technology, New Zealand
  • Will Venters, London School of Economics, UK
  • Jonathan Wareham, ESADE, U.S.
  • Edgar Whitley, London School of Economics, UK
  • Tailai Wu, Huazhong University of Science and Technology,
  • Byungjoon Yoo, Seoul National University, South Korea

Track Title:

Digital Learning and IS Curricula

Track Chairs

Choon Ling Sia
City University of Hong Kong
iscl@cityu.edu.hk

Choon Ling Sia is Professor at the City University of Hong Kong. AIS Fellow (2015) and recipient of the AIS Sandra Slaughter Service Award (2023). He received his Ph.D. degree from the National University of Singapore. He served as Director of Center of Social Media Marketing and Business Intelligence at the City University of Hong Kong. He is serving, or has served, on the editorial boards of MIS Quarterly, Information Systems Research, Journal of the AIS, IEEE Transactions on Engineering Management, Journal of Global Information Management, Information and Management, and Journal of Database Management. His research interests include electronic commerce, social media, cross-cultural issues in information systems, knowledge management, distributed work arrangements, and computer-mediated communication. His research work has been published in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, International Journal of Electronic Commerce, IEEE Transactions on Engineering Management, Journal of International Business Studies, ACM Transactions on Computer-Human Interaction, Journal of the American Society for Information Science and Technology, IEEE Transactions on Systems, Man, and Cybernetics, Information and Management, Communications of the ACM, Decision Support Systems, International Journal of Human-Computer Studies, Internet Research, Information and Software Technology, International Journal of Information Management, among others.

Matthias Söllner
University of Kassel
soellner@uni-kassel.de

Matthias Söllner is Full Professor of Information Systems and Systems Engineering and Director of the interdisciplinary Research Center for IS Design (ITeG) at University of Kassel. His research focuses on trust in and acceptance of information systems, digital innovations in learning, and hybrid intelligence. His research has been published by journals such as MIS Quarterly (MISQ, Research Curation), Journal of Management Information Systems (JMIS), Journal of the Association for Information Systems (JAIS), Journal of Information Technology (JIT), European Journal of Information Systems (EJIS), Computers & Education (C&E) and Business & Information Systems Engineering (BISE), and is regularly presented at conferences such as the International Conference on Information Systems (ICIS), the European Conference on Information Systems (ECIS), the Academy of Management Annual Meeting, and the ACM CHI Conference on Human Factors in Computing Systems (CHI). Matthias has also received several awards for his research, teaching, and service, including the AIS Early Career Award 2020, ACM CHI Honorable Mention Awards in 2020 and 2021, as well as the AIS Innovation in Teaching Award 2022.

Heikki Topi
Bentley University
htopi@bentley.edu

Heikki Topi is Associate Dean of Business at Bentley University. His Ph.D. in Management Information Systems is from Indiana University. His research focuses on systems development methodologies, information systems education, and human factors and usability of enterprise systems. His research has been published in journals such as European Journal of Information Systems, JASIST, Information Processing & Management, International Journal of Human-Computer Studies, Journal of Database Management, and others. He is co-author of Modern Database Management, Essentials of Database Management, and Systems Analysis & Design in an Age of Options and co-editor of IS Management Handbook and Computing Handbook: Information Systems and Information Technology. He has been actively involved in global computing curriculum development and evaluation efforts since early 2000s (including IS2002, CC2005 Overview Report, CC2020 and as task force co-chair of IS2010 and MSIS2016). He currently serves on ABET’s Computing Accreditation Commission and its ExCom and served earlier on ACM’s Education Board and Council, CSAB’s Board of Directors, and AIS Council as Vice President of Education. He earned the AIS Outstanding Contribution to IS Education Award in 2015 and EDSIG Distinguished IS Educator Award in 2017.

Track Description

Emerging technologies and trends create new pedagogical possibilities and enable innovative uses of digital learning environments and technologies in educational institutions and beyond. Rapidly advancing capabilities in domains such as analytics, cloud computing, edge, and mobile computing, as well as machine learning and other applications of artificial intelligence offer the opportunity to change not only what we teach (curriculum) but how we teach (pedagogy). Following several years of the COVID-19 pandemic, many institutions—having expanded their educational portfolios to include new online offerings—are now adjusting back to a post-pandemic reality. They are seeking the right balance between traditional, online, and hybrid learning scenarios that offer viable options for different learning contexts. The Digital Learning and IS Curricula track provides IS scholars with an opportunity to exchange conceptual ideas and empirical findings regarding curriculum, pedagogy, learning environments, and pedagogical innovations via the use of technologies to improve learning in educational institutions and beyond.

Topics of interest include, but are not limited to:

  • Post-Covid impact on learning environments, curricula, teaching and learning
  • The role of microcredentials and certificates in the higher education system
  • Pedagogical and curricular innovations in IS education
  • Gamification
  • International teaching across institutions (Changing the world of academia)
  • Digital learning environments
  • Implications of current and emerging educational technologies (learning management systems, e-Learning, virtual/mobile learning, social media, and more)
  • Innovations in IS curriculum development
  • Diversity, equity, and inclusion in IS education
  • 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)
  • Value of online/distance/hybrid education
  • Leveraging technologies for pedagogy innovations
  • Use of AI and analytics to understand and support learning
  • Individualization of the learning process through digital technologies
  • Theories of learning and pedagogy
  • Interdisciplinarity of IS education
  • Teaching cases
  • Experiential 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 and professional development)
  • Accreditation and certification

Associate Editors

  • Asli Akblut, Grand Valley State University, USA
  • Jeffry Babb, West Texas A&M University, USA
  • Deng-Neng Chen, National Pingtung University of Science and Technology, Taiwan
  • Tsai-Hsin Chu, National Chiayi University, Taiwan
  • Sara Ellenrieder, TU Darmstadt, Germany
  • Andreas Janson, University of St.Gallen, Switzerland
  • Ron Kwok, City University of Hong Kong, Hong Kong
  • Paul Leidig, Grand Valley State University, USA
  • Andy Nguyen, University of Oulu, Finland
  • Ilias Pappas, University of Agder, Norway
  • Roman Rietsche, Bern University of Applied Sciences, Switzerland
  • Sofia Schöbel, University of Osnabrück, Germany
  • Janice Sipior, Villanova University, USA
  • Pei-Lee The, Monash University, Malaysia
  • Craig Van Slyke, Louisiana Tech University, USA
  • Thiemo Wambsganss, Bern University of Applied Sciences, Switzerland
  • Xue Yang, Nanjing University, China

Track Title:

Digital Technologies and the Future of Work

Track Chairs

Michael Dinger
Baylor University
michael_Dinger@baylor.edu

Michael Dinger is an Associate Professor of Information Systems and Business Analytics in the Hankamer School of Business at Baylor University. He received a Ph.D. in Management Information Systems from Clemson University. His research interests include IT workforce management, social media, and virtual communities. His work appears in Information Systems Research, Journal of the Association for Information Systems, Journal of Management Information Systems, MIS Quarterly, and other outlets. He currently serves as an Associate Editor for Communications of the AIS.

Damien Joseph
Nanyang Technological University Singapore
adjoseph@ntu.edu.sg

Damien Joseph is an Associate Professor of Information Technology at the Nanyang Technological University (Singapore) at the College of Business (Nanyang Business School), where he also holds the appointment of Associate Dean (Undergraduate Education). His research seeks to understand why and how IT professionals, and more generally workers, sustain themselves in the course of their work and their careers. Damien’s research has been published in top international journals in the information systems (IS) discipline and in the management discipline. He regularly participates at major international conferences where his research has won the best paper awards.

Manuel Wiesche
Dortmund University
Manuel.Wiesche@tu-dortmund.de

Manuel Wiesche is full professor and chair of Digital Transformation at TU Dortmund University. He holds a doctoral degree in information systems and a habilitation degree in management from TUM School of Management, Technische Universität München, Munich, Germany. His current research experiences and interests include IT workforce, IT project management, digital platform ecosystems, and IT service innovation. His research has been published in MIS Quarterly, Journal of Management Accounting Research, Communications of the ACM, Information & Management, Electronic Markets and MISQ Executive.

Track Description

Technological developments continue to reshape work design, performance and management at the individual, organizational and societal levels. As organizations increasingly digitalize work, the established structure and norms of office work routines are disappearing. The nature of work is fundamentally changing as employment arrangements are increasingly contingent, mobile and flexible. Exemplars of contemporary work structures include remote and nomadic work, the 4-day workweek, globally distributed project work, crowdsourcing, and on-demand freelance work brokered through dedicated platforms.

The automation and augmentation of work with artificial intelligence, virtual reality, and blockchain are transforming organizations, industries, and labor markets as humans are replaced by, or working with, ever more intelligent algorithms and robots. Workers are concerned that whole classes of jobs and occupations may become obsolete while demand for other occupations grow at an increasing rate. Workers will need to adapt their skill portfolios to remain employable and optimize their careers. At the same time, the meaning of work and employment is shifting as digital natives become a dominant force throughout modern organizations and contribute to redefining the future of work.

We welcome submissions that take a broad perspective addressing digital technologies and the future of work. We seek submissions on various theoretical and methodological approaches that examine the phenomenon across levels of analyses, e.g., task, individual, organizational, labor market or societal.

Topics of interest include, but are not limited to:

  • Automation and augmentation of work
  • Design theories for future work environments
  • Digitalization and job mobility
  • Emerging and shifting portfolio of skills and professional development
  • Emerging new careers and patterns of careers
  • Freelancing and crowd work arrangements and practices
  • Lived experience in the digital workplace and remote working
  • Management of work and workers in a digitized work environment
  • Modern approaches to arranging work in teams
  • Managing professional obsolescence
  • Characteristics of the IT workforce
  • Meaning of work in digital workplaces
  • Mobile and nomadic work
  • New forms of technology-enabled work arrangements
  • New practices and forms of leadership in digital workplaces
  • People analytics and algorithmic management
  • Self-organized work in decentralized autonomous organizations
  • Virtual work across boundaries and in the metaverse
  • Work culture in digital milieus
  • Work in the context of the fourth industrial revolution
  • Implications of AI on work and work arrangements

Associate Editors

  • Margunn Aanestad, University of Oslo, Norway
  • Brigid Appiah Otoo, University of Central Arkansas, USA
  • João Baptista, Lancaster University, UK
  • Tina Blegind Jensen, Copenhagen Business School, Denmark
  • Jim Burleson, Cal Poly – San Luis Obispo, USA
  • Kevin Craig, Auburn University, USA
  • Yuanyue Feng, Shenzhen University, China
  • Brittany Green, University of Louisville, USA
  • Saurabh Gupta, Kennesaw State University, USA
  • Lisa Gussek, TU Dortmund University, Germany
  • Sangwook Ha, BNU-HKBU United International College, China
  • Ella Hafermalz, VU Amsterdam, Netherlands
  • Ke-Wei Huang, National University of Singapore, Singapore
  • Araz Jabbari, Université Laval, Canada
  • Stefan Klein, University of Muenster, Germany, Germany
  • Moksh Matta, Simon Fraser U, Canada
  • Sara Moussawi, Carnegie-Mellon University, USA
  • Barbara Prommegger, TU Munich, Germany, Germany
  • Cindy Reminschnieder, Baylor, USA
  • Nicholas Roberts, Oregon State University, USA
  • Susan Scott, London School of Economics and Political Science, UK
  • Anastasia Sergeeva, VU Amsterdam, Netherlands, Netherlends
  • Tenace Setor, University of Richmond, USA
  • Harminder Singh, Auckland University of Technology, New Zealand
  • Stefan Tams, HEC Montreal, Canada
  • Joseph Taylor, California State University, Sacramento, USA
  • Timm Teubner, Technische Universität Berlin, Germany, Germany
  • Bart van den Hooff, Vrije Universiteit Amsterdam, Netherlands, Netherlends
  • Dragos Vieru, TÉLUQ University of Québec, Canada
  • Julie T. Wade, University of South Carolina Upstate, USA
  • Sunil Wattal, Temple University, USA
  • Qin Weng, Baylor University, USA
  • Jason Williams, University of Georgia, USA
  • Yu-Chen Yang, National Sun Yat-Sen University, Taiwan
  • Adrian Yeow, Singapore University of Social Sciences, Singapore
  • Sam Zaza, Middle Tennesse University, USA

Track Title:

Societal Impact of IS

Track Chairs

Tommy K. H. Chan
University of Manchester
tommy.chanmanchester.acuk

Tommy K. H. Chan is Senior Lecturer (Associate Professor) in Management Science and Programme Director for MSc Business Analytics at Alliance Manchester Business School, the University of Manchester, UK. With a focus on the societal and ethical implications of technology use in social media and digital communities, his key research works have been published in the Association for Information Systems (AIS) Senior Scholars’ List of Premier Journals, including Information Systems Research, Journal of the Association for Information Systems, Journal of Management Information Systems, and Information & Management. Tommy currently serves Information Systems Journal and Internet Research as associate editor. He is also a track co-chair and associate editor for conferences affiliated with AIS. In his spare time, Tommy is a gardener.

Xin (Robert) Luo
University of New Mexico
xinluo@unm.edu

Xin (Robert) Luo is a Special Assistant to the Dean for Research Advancement, an Endowed Dean’s Professor of Research Excellence, and a Full Professor of Management Information Systems and Information Assurance at the Anderson School of Management of the University of New Mexico, Albuquerque, USA. He received his Ph.D. in Management Information Systems from Mississippi State University, USA. His research has been published in leading IS/ business journals, including the Information Systems Research, Journal of Operations Management, Production and Operations Management, Journal of Management Information Systems, Journal of the Association for Information Systems, European Journal of Information Systems, Information Systems Journal, Journal of Strategic Information Systems, Journal of Information Technology, Decision Sciences, Decision Support Systems, Information & Management, and IEEE Transactions on Engineering Management. He has served as an ad hoc Associate Editor for MIS Quarterly and an Associate Editor for the European Journal of Information Systems, and currently serves as an Associate Editor for the Journal of the Association for Information Systems, Decision Support System, Decision Sciences, Information & Management, Electronic Commerce Research, and the Journal of Electronic Commerce Research. He also sits on the Editorial Review Board of Information Systems Research and serves as a Guest AE for special issues of Journal of Management Information Systems and Decision Support Systems. His research interests center around behavioral cybersecurity management and privacy protection, innovative technologies for strategic decision-making, and cross-cultural IT management. He is the Co-Editor-in-Chief of the International Journal of Accounting and Information Management.

Marten Risius
University of Queensland
m.risius@business.uq.edu.au

Marten Risius is Senior Lecturer (Associate Professor) in Business Information Systems at the University of Queensland and incoming Full and Distinguished Professor for “Digital Society and Online Engagement” at the University of Applied Sciences in Neu-Ulm, Germany. His articles have been published in several journals, such as MIS Quarterly, Strategic Management Journal, Journal of Strategic Information Systems, Journal of Information Technology, MISQ Executive, Business Information Systems Engineering, AIS Transactions on Human Computer Interaction, and Communications of the AIS. Dr. Risius’ research has been recognized with numerous international awards from academia and industry such as the AIS Early Career Award or the Australian Research Council’s Discovery of Early Career Researchers (DECRA). His service spans (Mini) Track Chair for ECIS, HICSS, PACIS, and ACIS and as Associate Editor at Internet Research.

Track Description

Digitalization holds significant promise to enhance organizational performance, reduce social barriers, enable environmental sustainability, and increase accessibility to information, networks, commerce and services. However, if not approached with social consciousness, the pervasiveness and emphasis on digitalization may have unintended negative consequences for its societal impact. On the one hand, digital transformation efforts can enable a more sustainable society, such as the rise of smart cities or circular economies. On the other hand, digitalization may be inaccessible to certain communities and may further exclude institutionally marginalized communities and individuals globally and also has unexpected influence on human dignity. Furthermore, decision-making systems that leverage aspects of machine learning and artificial intelligence (AI) continue to usher in biased outcomes. Given the complexity and velocity of digitalization, our understanding of its social impact often lags behind its introduction and widespread use.

The Information Systems community is in a unique position to uncover and shed light on the effects digitalization and various applications of information technologies have on our society. This track calls for papers that investigate both the intended and unintended societal impacts of information systems. Studies in this track go a long way to inform regulators, practitioners, users, and researchers from other disciplines. This track welcomes innovative, rigorous and relevant theoretical, empirical, and design studies on societal impacts from interactions with and influences of information systems. Empirical (qualitative, quantitative, or mixed-methods) studies as well as design-oriented research and conceptual/theoretical papers for theory development will be considered. Various dimensions, including social, economic, cultural and ethical aspects, can be involved in these relationships. We encourage submissions at different levels and cross-levels of analysis. The research questions may derive from a broad spectrum of disciplines.

Topics of interest include, but are not limited to:

  • Theoretical perspectives and/or empirical insights on the intended and unintended social consequences of IS
  • Innovative technological initiatives to address persistent societal problems
  • Societal consequences of digital workplaces and emerging technologies
  • Societal consequences of digital governments including privacy concerns, discrimination and opaqueness of AI-decision making
  • Algorithmic appreciation and biases in social media, search engines, and AI
  • IS for a greener and more circular society, government, and/or industry
  • Use of digital technologies to promote sustainable consumption behavior and sustainable solutions
  • Social inclusion challenges, digital divides, issues of (in)equality and marginalized groups, fairness in the use, design, and development of systems/algorithms
  • Multilayered demographic perspectives on the digital divide and the digitally disadvantaged
  • Societal implications of fake news, online disinformation, and misinformation campaigns
  • Juxtaposed sides of technology including resilience, addiction, victimization, surveillance, etc.
  • Philosophical perspectives on IS implications for society
  • Human dignity and information technology
  • Ethical and socially responsible research and innovation in IS
  • Cross-cultural digital transformation issues (societal opportunities and challenges)

Associate Editors

  • Aaron Cheng, London School of Economics and Political Science, UK
  • Marc Cheong, Melbourne University, AUS
  • Rafaelle Ciriello, Sydney University, AUS
  • Aaron French, Kennesaw State University, USA
  • Laurence Marie Anna Habib, Oslo Metropolitan University, Norway
  • Mahsa Honary, University of Lancester, UK
  • Ling Jiang, York University, Canada
  • Hannes-Vincent Krause, University of Potsdam, Germany
  • Dong-Heon Austin Kwak, Kent State University, USA
  • Andrea Lagna, University of Manchester, UK
  • Fujun Lai, University of Southern Mississippi, USA
  • Brian Lee, Pennsylvania State University, USA
  • Han Li, University of New Mexico, USA
  • Yangjun Li, Beijing Institute of Technology, China
  • Chuan Luo, Southwestern University of Economics and Finance, China
  • Tatiana Martinez, University of Manchester, UK
  • Stephen McCarthy, University College Cork, Ireland
  • Patrick Mikalef, Norwegian University of Science and Technology, Norway
  • Brian Nicholson, University of Manchester, UK
  • Aseem Pahuja, University of Manchester, UK
  • Shahper Richter, University of Auckland, NZ
  • PK Senyo, University of Southampton, UK
  • Amr Soror, California State University, USA
  • Tahir Abbas Syed, University of Manchester, UK
  • Ching-I Teng, Chang Gung University, Taiwan
  • Bikesh Upreti, Univeristy of Queensland, AUS
  • Gang Wang, University of Delaware, USA
  • Le Wang, City University of Hong Kong, China
  • Randy Wong, University of Auckland, NZ
  • Xue Yang, Nanjing University, China
  • Efpraxia Zamani, University of Durham, UK
  • Wenqi Zhou, Duquesne University, USA

Track Title:

Cybersecurity and Privacy

Track Chairs

Alexander Benlian
University of Darmstadt
benlian@ise.tu-darmstadt.de

Alexander Benlian is a Chaired Professor of Management Information Systems in the Department of Business, Law & Economics at the Technical University of Darmstadt, Germany. He earned his PhD from the Munich School of Management at LMU Munich. Alex’ research interests include cybersecurity & privacy, algorithmic management, IT entrepreneurship, and digital transformation. Journals where his research appears include MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Entrepreneurship Theory & Practice, and MISQ Executive, among others. Alex serves as Senior Editor at EJIS, as Department Editor at BISE, and as Editorial Board Member at ISR and MISQ Executive.

Hasan Cavusoglu
University of British Columbia
cavusoglu@sauder.ubc.ca

Dr. Hasan Cavusoglu is an Associate Professor of Management Information Systems at the Sauder School of Business, University of British Columbia. He earned his Ph.D. from the University of Texas at Dallas. Dr. Cavusoglu’s recent research interests are centered around the strategic impact of information technology investments, with a particular focus on cybersecurity and privacy. His scholarly contributions have been widely acknowledged and published in several leading journals. His work appears in notable publications such as Management Science, Information Systems Research, MIS Quarterly, Journal of Management Information Systems, ACM Transactions on Management Information Systems, and the Production and Operations Management Journal. Dr. Cavusoglu has served as an Associate Editor at MIS Quarterly.

Alvin Chung Man Leung
City University of Hong Kong
acmleung@cityu.edu.hk

Alvin Leung is the Associate Head and Associate Professor at Department of Information Systems, City University of Hong Kong. He received his Ph.D. in Information Management from McCombs School of Business, the University of Texas at Austin. His research interests include information security, IT business value, financial technology, and technology-mediated learning. His work has appeared in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Management Science, Decision Support Systems and other journals. He currently serves as Associate Editor at Decision Support Systems and the Communications of Association for Information Systems.

Track Description

In the realm of cybersecurity, an ongoing arms race pits attackers against defenders, each responding to the rapid development of technologies like cloud/edge computing, AI, and modern payment methods. Inherent vulnerabilities in these technologies, insufficient safeguard mechanisms, and human errors are often to blame for security breaches. Defenders are thus thrust into the front lines, tasked with securing their infrastructures against the backdrop of emerging technological challenges. These challenges are multifaceted, encompassing the adaptation to evolving regulations, the refinement of organizational best practices, and the responses to the intricate issues of behavioral and privacy concerns.

In the wake of the Covid-19 pandemic, the rapid digital shift has escalated cybersecurity challenges for organizations. The development of digital infrastructures, essential for remote work, has opened further loopholes for cybercriminal incursions. Additionally, the advent of digital innovation and transformation projects has heightened the risks associated with cybersecurity and user privacy. Against this backdrop, companies are increasingly confronted with the formidable task of navigating between advancing data analytics projects and upholding comprehensive security and privacy safeguards.

Further, as the modern economy is increasingly dependent on user data generated or supplied explicitly by the users or collected covertly by organizations, privacy remains an important topic on the research and policy agenda. The mixed scientific evidence on the impact of privacy concerns on users’ behavior calls for comprehensive investigations into the multifaceted nature of privacy. For example, recently the saliency of the role of privacy uncertainty in users’ decisions has been demonstrated. It is still to be understood what value users attach to their privacy and what it depends on.

This track aims to encourage cutting edge research that focuses on topics in cybersecurity and privacy (either jointly or separately). A goal is to facilitate timely debates on the application of theories and methods that broaden and deepen our understanding of the newly emerging phenomena and classical problems in these areas (cybersecurity and privacy). All types of methods (qualitative, quantitative, analytical, and computational methods) for examining cybersecurity and privacy phenomena are welcome.

The Information Systems community is in a unique position to uncover and shed light on the effects digitalization and various applications of information technologies have on our society. This track calls for papers that investigate both the intended and unintended societal impacts of information systems. Studies in this track go a long way to inform regulators, practitioners, users, and researchers from other disciplines. This track welcomes innovative, rigorous and relevant theoretical, empirical, and design studies on societal impacts from interactions with and influences of information systems. Empirical (qualitative, quantitative, or mixed-methods) studies as well as design-oriented research and conceptual/theoretical papers for theory development will be considered. Various dimensions, including social, economic, cultural and ethical aspects, can be involved in these relationships. We encourage submissions at different levels and cross-levels of analysis. The research questions may derive from a broad spectrum of disciplines.

Topics of interest include, but are not limited to:

  • AI for cybersecurity
  • Cybersecurity in AI
  • Economic aspects of managing cybersecurity and privacy
  • Adoption, use, and continuance of cybersecurity technologies and policies
  • Employee accountability, insider threats, computer abuse, and employee insecure behaviors
  • Corporate strategies, governance, and compliance in cybersecurity and privacy
  • Cyberwarfare and cybersecurity
  • Identify theft and deception in online communication
  • Design and development of cybersecurity and privacy enhancing technologies
  • Digital forensics and investigations of cybercrime and cybersecurity policy violations
  • Hacker culture, white hat and black hat research issues
  • Neuroscience applications to cybersecurity
  • Cybersecurity risk analysis and management
  • Socio-technical policies and mechanisms for countering cyber threats
  • Security and privacy concerns with social media
  • Security and privacy metrics
  • Security and privacy of mobile devices
  • Privacy and user behavior
  • Privacy paradox
  • Interdependent and group privacy
  • The value of data
  • User behavior in the face of privacy threats
  • Online self-disclosure
  • Data donation

Associate Editors

  • Olga Abramova, University of Potsdam, Germany
  • Idris Adjerid, Virginia Tech, USA
  • Sameh Al-Natour, Toronto Metropolitan University, Canada
  • Katharina Baum, University of Potsdam, Germany
  • Annika Baumann, University of Potsdam, Germany
  • Benedict Bender, University of Potsdam, Germany
  • Victor Benjamin, Arizona State University, USA
  • Yanzhen Chen, The Hong Kong University of Science and Technology, China
  • Daegon Cho, KAIST, Korea
  • Amanda Chu, The Education University of Hong Kong, China
  • Paul M Di Gangi, University of Alabama at Birmingham, USA
  • Alexandra Durcikova, University of Oklahoma, USA
  • Anjuli Franz, Technical University of Darmstadt, Germany
  • Sigi Goode, Australian National University, Australia
  • Jens Grossklags, Technical University of Munich, Germany
  • Steffi Haag, Heinrich-Heine University of Duesseldorf, Germany
  • Farkhondeh Hassandoust, University of Auckland, New Zealand
  • Tejaswini Herath, Brock University, Canada
  • Hooman Hidaji, University of Calgary, Canada
  • Ping Fan Ke, Singapore Management University, Singapore
  • Antonia Köster, University of Potsdam, Germany
  • Wilson Li, Deakin University, Australia
  • Xiaofan Li, National University of Singapore, Singapore
  • Jee-Hae Lim, University of Hawaii, USA
  • Sebastian Lins, KIT, Germany
  • Anik Mukherjee, Indian Institute of Management Calcutta, India
  • Maduka Subasinghage, Auckland University of Technology, New Zealand
  • Huseyin Tanriverdi, University of Texas at Austin, USA
  • Simon Trang, Paderborn University, Germany
  • Rohit Valecha, University of Texas at San Antonio, USA
  • Dawei (David) Wang, Missouri University of Science and Technology (S&T), USA
  • Jingguo Wang, University of Texas – Arlington, USA
  • Thomas Widjaja, University of Passau, Germany
  • Vincent Zhuang, The Hong Kong Polytechnic University, China

Track Title:

Blockchain, DLT, and Fintech

Track Chairs

Hsing Kenneth Cheng
University of Florida
hkcheng@ufl.edu

Hsing Kenneth Cheng is currently John B. Higdon Eminent Scholar and Department Chair of Department of Information Systems and Operations Management at the University of Florida. He holds a Ph.D. in Computers and Information Systems from University of Rochester. His research interests are interdisciplinary in nature with specific emphasis on big data and business analytics, and economics and policy issues of artificial intelligence, blockchain, and the internet commerce.

Gilbert Fridgen
University of Luxembourg
gilbert.fridgen@uni.lu

Gilbert Fridgen is Professor and PayPal-FNR PEARL Chair in Digital Financial Services at the University of Luxembourg, and Principal Investigator of the National Centre of Excellence in Research on Financial Technologies. In his research, he analyzes the transformative effects of digital technologies on individual organizations as well on the relationship between organizations. He addresses especially emerging technologies like Distributed Ledgers, Digital Identities, Machine Learning, and the Internet-of-Things.

Wei Thoo Yue
City University of Hong Kong
wei.t.yue@cityu.edu.hk

Wei Thoo YUE holds the position of Professor in the Department of Information Systems at City University of Hong Kong. He obtained his Ph.D. in Management Information Systems from Purdue University. His research primarily revolves around the strategic decisions of organizational IT in areas such as data monetization, business models, cybersecurity, and fintech.

Track Description

Blockchain and distributed ledger technologies (DLT) are rapidly transforming digital innovation, transformation, and entrepreneurship within and beyond the financial sector. Since gaining momentum with the Bitcoin cryptocurrency, blockchains provide a secure, transparent, decentralized infrastructure for building trustless systems without third-party intermediaries. In the 15 years since Bitcoin launched, blockchain has found use cases across industries, including supply chain, logistics, global trade, healthcare, energy, and more. Industry adoption stayed, however, below expectations.

Under the term “Decentralised Finance” (DeFi), blockchain and DLT are also a central element of today’s FinTech innovation ecosystem. Cryptocurrencies and Decentralized Autonomous Organisations (DAOs) are expected to unlock new business models, market efficiencies, and value-creation opportunities. By replacing legacy databases and workflows with shared ledgers, smart contracts, and decentralized applications might enable frictionless peer-to-peer transactions, automation, and data integrity. The programmability of blockchain allows the encoding of complex business logic and protocols into trusted systems.

As blockchain matures and integrates into core business processes, its potential to transform organizational structures, incentives, and governance grows. Leading companies across sectors are exploring blockchain systems to reduce costs, mitigate risks, increase transparency, and enable new offerings.

However, key challenges around scalability, interoperability, regulation, governance and adoption remain before decentralized systems can unleash widespread transformation. To fulfill this vision, rigorous research is needed to guide blockchain’s integration into business operations, economic structures, and next-generation technologies. Effective governance frameworks, sustainable technology stacks, and inclusive institutional designs are critical to unlocking blockchain’s capabilities at scale. Furthermore, technological and governance innovations have continuously introduced new developments challenging status quo systems. For example, innovations like algorithmic stablecoins, Central Bank Digital Currencies (CBDCs), and adjacent technologies like Digital Identities (DIDs) or Zero-Knowledge-Proofs (ZKP) aim to optimize financial operations.

While DLT has received significant attention in fintech research, we also welcome submissions exploring innovations built on alternative technologies. Advances in artificial intelligence (AI) and machine learning are transforming finance, enabling deeper insights into markets, risks, and customer behavior. Financial institutions are leveraging AI algorithms for automated trading, portfolio optimization, predictive analytics, and conversational agents to enhance client interactions. At the same time, banks and financial service providers face pressures to demonstrate regulatory compliance and corporate responsibility for sustainability. Technologies like cloud computing and application programming interfaces (APIs) are being used to improve transparency, accountability, and environmental/social disclosures. The integration of finance with mobile devices, social platforms, and other emerging technologies also presents new research opportunities.

We welcome research using any established research approach, e.g., theory development, case studies, experiments, surveys, simulation, or design research. While we are open to literature reviews, we would like to see a clear contribution beyond the typical introduction to a research field typically presented in a PhD thesis. Case studies should move beyond description to some theoretical implication, and design research should include an evaluation of the artifact.

Topics of interest include, but are not limited to:

  • Fintech Innovation: Explore advancements like robo-advisory, fraud detection, social trading, credit scoring, algorithmic trading, mobile payment technologies, and other business innovations.
  • Fintech and DLT Applications: Explore the design of innovative applications within the realms of fintech and DLT, including the application of DLT in traditional financial services.
  • Macroeconomic Implications of Fintech: Examine the macroeconomic effects, such as the disintermediation of established players, the influence of cryptocurrencies, and structural changes in the economy.
  • Organizational and Business Model Transformation: Delve into the organizational and business model changes driven by fintech, including the digital transformation of banks, adoption, and innovation with cryptocurrencies, DLT, and blockchain technologies.
  • Leveraging New Data in Financial Markets: Address ethical concerns, data-driven business models, fraud detection, regulation, practical feasibility, and smart trading strategies, including artificial intelligence-driven practices.
  • Transformation to Token Economy: Investigate issues and opportunities in the shift from platforms to token economies, including regulatory frameworks, challenges in fintech regulation, (de)centralization, mining hardware commoditization, governance mechanisms, and impacts of tokenized invoices.
  • Blockchain for Social Innovation: Investigate collective intelligence and action in Decentralized Autonomous Organizations (DAOs), increasing financial inclusion, addressing collective threats through smart contracts, and collective value creation through blockchain governance.
  • Blockchain Innovation: Explore blockchain’s role in the metaverse and AI-enabled commerce.
  • Management and Organization in Blockchain, DLT, and Cryptocurrencies: Investigate asset management with blockchain-based tokenization, distributed and decentralized organization, coordination, and governance. Explore concepts like DAOs and self-sovereignty-based governance.
  • Blockchain in Inter-Organizational Coordination: Explore the role of blockchain technology in coordinating business interdependencies, especially in logistics and supply chain management.
  • Blockchain and DLT Systems: Analyze the multi-layered architecture of blockchain and DLT systems, considering network effects in blockchain networks.
  • Theoretical Understanding of DLT Ecosystem: Investigate the theoretical aspects of the DLT ecosystem, including current innovations in Layer-1, 3, and 3 projects with roll-ups, etc.
    Darker Sides of DLT Systems: Examine issues like the concentration of mining operations, challenges in blockchain governance, or the energy demand of proof-of-work.
  • Design, Implementation, and Impact of NFTs: Examine the design, implementation, use, and impact of Non-Fungible Tokens (NFTs) and novel token applications.
  • Decentralized Finance (DeFi) Platforms: Investigate the functionalities and implications of decentralized finance platforms.
  • Central bank digital currencies (CBDCs) – design, monetary policy, and socioeconomic impacts.
  • Potential of cryptographic technologies like zero-knowledge proofs (ZKP) or digital identities (DIDs).
  • Blockchain and AI Integration for Enhanced Financial Insights: Explore the synergies between blockchain and artificial intelligence (AI) to enhance financial insights, combining the strengths of both technologies for more sophisticated analytics and decision-making.
  • Fintech and application programming interfaces (APIs).
  • FinTech and sustainability reporting in finance: How can API-enabled data exchanges could improve the accuracy and efficiency of Environmental, Social, and Governance (ESG) disclosures.
  • Strategies to ensure the integrity and confidentiality of sensitive financial data exchanged through APIs.

Associate Editors

  • Kun Chen, Southern University of Science and Technology, China
  • Shaokun Fan, Oregan State University, USA
  • Nan Hu, Singapore Management University, Singapore
  • Noyan Ilk, Flordia State University, USA
  • Jian Li, Xi’an Jiao Tong University, China
  • Xiaofan Liu , City University of Hong Kong, Hong Kong, China
  • Alexander Rieger, University of Arkansas, USA
  • Tamara Roth, University of Arkansas, USA
  • Johannes Sedlmeir, Unviersity of Luxembourg, Luxembourg
  • Jens Strüker, University of Bayreuth, Germany
  • Scott Thiebes, Karlsruhe Institute of Technology, Germany
  • Gugggenberger Tobias, University of Bayreuth, Germany
  • Shawn Wan, Santa Clara University, USA
  • Jiaqi Yan, Nanjing University, China
  • Yi Yang, Hong Kong University of Science and Technology, Hong Kong, China
  • Xinyu Zang, University of Florida, USA
  • Xi Zhao, Xi’an Jiao Tong University, China

Track Title:

Sharing Economy, Platforms, and Crowds

Track Chairs

Kevin Hong
University of Miami
yxh1034@miami.edu

Dr. Kevin Hong is the Centennial Endowed Chair and Professor of Business Technology at the Miami Herbert Business School, University of Miami. His research interests include the future of work, digital platforms, and human-AI interaction. His research has appeared in leading journals such as Management Science, Information Systems Research (ISR), MIS Quarterly, Production and Operations Management (POM), and INFORMS Journal on Computing. Kevin is currently a senior editor of POM and an associate editor of ISR.

Thomas Kude
University of Bamberg
thomas.kude@uni-bamberg.de

Thomas Kude is an associate professor at the University of Bamberg in Germany. He previously was an Associate Professor at ESSEC Business School, France. He received his Ph.D. from the University of Mannheim, Germany. His current research interests include digital platform ecosystems 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 MIS Quarterly and Business & Information Systems Engineering.

Mengxiang Li
Hong Kong Baptist University
mengxianglihkbu.eduhk

Dr. Mengxiang Li is an Associate Professor of Information Systems at the Department of Management, Marketing, and Information Systems, School of Business, Hong Kong Baptist University. Dr. Li’s current research examines innovative technology use, strategic decisions about technology, user-centered technology design, digital resilience, and remote everything. His research has appeared in leading journals such as MIS Quarterly, Journal of MIS, and Information & Management. He has served as Associate Editor at Internet Research, Journal of Global Information Management, and Journal of Electronic Commerce Research.

Track Description

Topics related to the sharing economy, platforms, and crowds are not only among the most widely researched areas within the field of information systems, but also bear deep economic and societal implications. This track invites cutting-edge research that addresses issues relating to these topics.

The sharing economy has disrupted conventional socio-economic activities by allowing individuals to exchange underutilized assets or resources for monetary gains at very low transactional costs. Under this broad umbrella, sharing can stem from user-owned assets, as exemplified on Airbnb, Didi, Grab, and Uber, or take place through the renting of company-owned resources, as epitomized on Bird, CitiBike, Lime, and Zipcar.

Fueling the explosion of the sharing economy are multi-sided platforms which, by connecting various actors throughout the world for little marginal cost, facilitate interactions and transactions in a seamless fashion across a variety of contexts: dating, entertainment, education, finance, hospitality, housing, product reviews, and transportation, to name a few. These multi-sided platforms have revolutionized industries, for better and for worse, with both promising and disappointing socio-economic impacts being documented.

Likewise, 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 toward achieving a wide range of socio-economic objectives.
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 crosses disciplinary boundaries and provides us with fresh insights into the future of the sharing economy, multi-sided platforms, and crowd-based modes of innovation and production.

Topics of interest include, but are not limited to:

  • New theoretical perspectives for understanding the sharing economy, multi-sided platforms, and crowd-based modes of innovation and production
  • Novel methodological approaches for researching the sharing economy, multi-sided platforms, and crowd-based modes of innovation and production
  • External vs. internal enterprise deployment of multi-sided platforms for facilitating crowd-based modes of innovation and production
  • Platform-enabled business models underlying the sharing economy, and crowd-based modes of innovation and production
  • Diversity, ethics, and inclusivity in the sharing economy
  • Reputation and trust in the sharing economy and digital platforms
  • Entrepreneurship in platform-driven, crowd-based modes of innovation and production
  • Economic, ecological, legal, regulatory, geo-political, social, and technological implications of the sharing economy, multi-sided platforms, and crowds
  • Sharing economy, multi-sided platforms, and crowd-based modes of innovation and production in highly regulated industries, such as health care or education
  • Digital labor markets
  • Crowdsourcing and crowdfunding
  • Deployment of AI on multi-sided platforms for facilitating crowd-based modes of innovation and production
  • Data platforms and data spaces
  • Design of platforms for efficiency, fairness, and inclusivity
  • Individual decision-making in the sharing economy, multi-sided platforms, and crowd-based models
  • Decentralized digital ecosystems

Associate Editors

  • Soo Hyun Cho, Rutgers University, USA
  • Donato Cutolo, IE Business School, Spain
  • Mark de Reuver, TU Delft, Netherlands
  • Zhao Du, Beijing Sport University, China
  • Meilin Gu, School of Economics and Management, Tsinghua University, China
  • Andreas Hein, University of St. Gallen, Switzerland
  • Lele Kang, Nanjing University, China
  • Warut Khernamnui, McGill University, Canada
  • Tobias Kretschmer, LMU Munich, Germany
  • Chen Liang, University of Connecticut, USA
  • Yang Liu, The Hong Kong Polytechnic University, HKSAR
  • Yang Liu, Tsinghua University, China
  • Angela Lu, City University of Hong Kong, HKSAR
  • Jifeng Luo, Shanghai Jiaotong University, China
  • Mareike Möhlmann, Bentley University, USA
  • Gorkem Turgut (G.T.) Ozer, University of New Hampshire, USA
  • Christian Peukert, HEC Lausanne, Switzerland
  • Amin Sabzehzar, Tulane University, USA
  • Johan Sandberg, Umeå Universitet, Sweden
  • Nina-Birte Schirrmacher, VU Amsterdam, Netherlands
  • Maximilian Schreieck, University of Innsbruck, Austria
  • Xiaoliang Shen, Wuhan University, China
  • Tingting Song, Shanghai Jiaotong University, China
  • Yanli Tang, Sun Yat-Sen University, China
  • Ping Tang, Bentley University, USA
  • Chong Wang, Guanghua School of Management, Peking University, China
  • May Wang, United International College, China
  • Jianghua Wu, Renmin Business School, Renmin University of China, China
  • Anqi Wu, Florida International University, USA
  • Dongming Xu, University of Queensland, Australia
  • Cheng Zhang, Fudan University, China
  • Sophia Zhang, Baylor University, USA
  • Ran Zhang, Texas Tech University, USA
  • Liang Zhao, Hong Kong Baptist University, HKSAR
  • Zhongyun Zhou, Tongji University, China
  • Zhou Zhou, City University of Hong Kong, HKSAR
  • Meizi Zhou, Boston University, USA

Track Title:

Human Technology Interaction

Track Chairs

Zach W. Y. Lee
University of Leicester
wyl34@leicester.ac.uk

Zach W. Y. Lee is Professor of Business Analytics at the University of Leicester and a Fellow of the Higher Education Academy. His research interests include organisational and societal implications of IT use, online consumer behaviours, and platform economy. He has published in international journals such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Information Systems Journal, Information and Management, Journal of the Association for Information Science and Technology, Industrial Marketing Management, and among others. Zach serves as a Senior Editor at Internet Research, Associate Editor at Information Systems Journal, and Associate Editor at Information and Management and is an editorial board member of Industrial Management and Data Systems.

Heshan Sun
University of Oklahoma
sunh@ou.edu

Heshan Sun, Ph.D., is the Richard Van Horn Professor of IT and Analytics in the management information systems division, the Price College of Business at the University of Oklahoma. His research interests include human technology/AI interaction, business analytics, and online crowd behavior. His published and forthcoming papers have been in many prestigious academic journals such as MIS Quarterly, Information Systems Research, Journal of the Association for Information Systems, Decision Support Systems, International Journal of Human-Computer Studies, and Journal of the American Society for Information Science and Technology. He is a Senior Editor at MIS Quarterly, the Journal of the Association for Information Systems, and the AIS Transactions on HCI.

Juliana Sutanto
Monash University
juliana.sutantomonashedu

Juliana Sutanto is a Professor in Information Systems. Her research expertise is on system design, users’ behavioral analysis and data management. She is a recipient of Informs ISS Design Science Award on privacy-safe design. Her research has been published in leading information systems journals, MIS Quarterly, Information Systems Research, Journal of the Association for Information Systems, and Journal of Management Information Systems. She was an Associate Editor in MIS Quarterly, and is currently a Senior Editor in Journal of the Association for Information Systems.

Track Description

This track focuses on issues related to the way humans interact with technologies (e.g., information systems, metaverse, artificial intelligence, and social media) in organizational, managerial, cultural, and social contexts. We are also interested in understanding behavioral and institutional factors affecting technology usage as well as the way that technologies help generate value in organizations, societies, and individuals. Additionally, we welcome papers that examine how digital technology shapes human cognition and emotion, and how users interact with technology and algorithms is important for advancing this stream of research.

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 the digital platforms
  • Human-centeredness and user-centeredness in technology design, development, and use
  • Humanity (e.g., dignity) issues of technology
  • Interfaces for information visualization and analytics and human-data interaction
  • NeuroIS studies on information systems design and use (i.e., neurocognition, neurophysiology, eye tracking)
  • Studies on 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 processing automation (RPA) in organizations
  • Platform algorithm, algorithmic control, and algorithmic workers
  • Platform algorithm and user interactions
  • Platform designs for interactions between users and complementors

Associate Editors

  • Hua (Jonathan) Ye University of Oklahoma, U.S.
  • Amany Elbanna University of London, UK
  • Ruonan Sun Monash University, U.S.
  • Chee Wei Phang University of Nottingham Ningbo China, China
  • Zhewei Zhang University of Warwick, UK
  • Say Yen Teoh RMIT, Australia
  • Caddie Gao Monash University, U.S.
  • Cheng Yi Tsinghua University, China
  • Adela Chen Colorado State University, U.S.
  • Ayoung Suh Sungkyunkwan University, U.S.
  • Yong Liu Aalto University, Finland
  • Kevin Kuan University of Sydney, Australia
  • Spyros Angelopoulos Durham University, UK
  • Yue (Katherine) Feng The Hong Kong Polytechnic University, China
  • Hongxiu Li Tampere University, Finland
  • Yanqing Lin Hanken School of Economics, Finland
  • Sebastian Schuetz Florida International University, U.S.
  • James Gaskin Brigham Young University, U.S.
  • Long Nguyen Washington State University, U.S.
  • Weiquan Wang Chinese University of Hong Kong, China
  • Kai Larsen University of Colorado Boulder, U.S.
  • Sangseok You Sungkyunkwan University, U.S.
  • Daniel Pienta University of Tennessee, U.S.
  • Richard Johnson Washington State University, U.S.
  • Quanwu Zhao Chongqing University, China

Track Title:

AI in Business and Society

Track Chairs

Michael Chau
University of Hong Kong
mchau@business.hku.hk

Michael Chau is a Professor in Innovation and Information Management in the HKU Business School at the University of Hong Kong.

Oliver Hinz
Goethe Universitat
hinz@wiwi.uni-frankfurt.de

Oliver Hinz is the Chair of Information Systems and Information Management at the Faculty of Economics and Business Administration at the Goethe Universitat, Frankfurt.

Anjana Susarla
Michigan State University
asusarla@broad.msu.edu

Anjana Susarla holds the Omura-Saxena Professorship in Responsible AI at the Eli Broad College of Business at Michigan State University.

Track Description

This track is concerned with how artificial intelligence (AI)-based systems–their design, implementation, use, and subsequent evaluation–may be meaningful to organizations and/or society. It provides scholars an opportunity to grapple with the complexity of AI technologies and the range of social phenomena and consequences at stake. We hope to see authors attend to a variety of important “outcomes”, beyond the effectiveness of the AI-based system for the developers or adopting corporations, and consider wide-ranging impacts on consumers, employees, and other stakeholders. This would also include studies that focus on improving individuals’ lives in fundamental ways such as managing pandemics and health outcomes, addressing income inequality, dampening systemic racial biases, and engaging with climate crises.

Our track aims to advance the understanding of the sociotechnical aspects of AI systems. Studies should emcompass technical elements as well as people, organizational, and/or community structures and processes. We are also interested in different sociomaterial approaches for examining how AI and its underlying data and algorithms are entangled with designers, implementers, users, and institutional forces in the broader ecosystem and how this may influence outcomes, often with unintended consequences.

We invite research that is theoretical, empirical, technical, quantitative, and/or qualitative. We are keen to attract insightful and impactful studies that are novel and pivot from existing research, theory, and practice. Authors must demonstrate how their research builds on current knowledge on the topic. Research can be at any level of analysis, and we welcome in-depth cases of AI in specific organizations and more widely across the business ecosystem. We also encourage authors to unpack the black boxes associated with the AI artifact, its design, development, and adoption in their studies. Studies should aim to delineate and distinguish AI from traditional IT.

Topics of interest include, but are not limited to:

  • Collaborating with AI for the future of work and society
  • Unintended consequences of AI and algorithmic decision making
  • Fairness and ethics of AI and algorithms
  • New theorizations of data in the age of AI
  • Explainable AI and responsible AI
  • Impact of generative AI on creativity, productivity, and the future of work
  • Designing novel AI and ML algorithms for tackling business and societal problems
  • Tensions between AI-based augmenting vs automating tasks in implementing AI
  • Mechanisms and practices for building and sustaining stakeholders’ trust in AI
  • Security, privacy, and risk management in AI
  • Human-robot interaction and human-AI interaction
  • Algorithm aversion in AI-enabled innovation
  • Leveraging crowdsourcing to design AI-based innovation
  • New frameworks for regulating and governing data and AI
  • Managing AI-enabled digital transformation
  • Human-oriented design and application of AI for business and society

Associate Editors

  • Cristina Mihale-Wilson, Goethe University Frankfurt, Germany
  • Valerie Carl, Goethe University Frankfurt, Germany
  • Kevin Bauer, University of Mannheim, Germany
  • Cathy Liu Yang, HEC Paris, France
  • Moritz von Zahn, Goethe University Frankfurt, Germany
  • Stefan Morana, University of Saarland, Germany
  • Jin Gerlach, University of Passau, Germany
  • Anne-Sophie Mayer, Vrije Universiteit Amsterdam, Netherlands
  • Alicia von Schenk, University of Wuerzburg, Germany
  • Victor Klockmann, University of Wuerzburg, Germany
  • Elmira van den Broek, Stockholm School of Economics, Sweden
  • Timo Sturm, TU Darmstadt, Germany
  • Wenwen Li, Fudan University, China
  • Lemai Nguyen, Deakin University, Australia
  • Philip T. Y. Lee, Hong Kong Shue Yan University, Hong Kong, China
  • Bingjie Deng, Xi’an Jiaotong-Liverpool University, China
  • Van-Hau Trieu, Deakin University, Australia
  • Xuan Wei, Shanghai Jiao Tong University, China
  • Morteza Namvar, The University of Queensland, Australia
  • Sophia Duan, La Trobe University, Australia
  • Zhuolan Bao, The Chinese University of Hong Kong, Shenzhen, China
  • Junming Liu, City University of Hong Kong, Hong Kong, China
  • Yidi Liu, The Chinese University of Hong Kong, Shenzhen, China
  • Yingda Lu, University of Chicago, Illinois, USA
  • Paramveer Dhillon, University of Michigan, Ann Arbor, USA
  • Xiao Liu, Arizona State University, USA
  • Sarah Bana, Chapman University, USA
  • Jonathan Hersh, Chapman University, USA
  • Mohammad Alyakoob, University of Southern California, USA
  • Priyanga Gunarathne, University of Pittsburgh, USA
  • Uttara Ananthakrishnan, Carnegie Mellon University, USA
  • Rajiv Garg, Emory University, USA
  • Grace Gu, University of Southern California, USA

Track Title:

IS Design, Development and Project Management

Track Chairs

James J. Jiang
National Taiwan University
jjjiang@ntu.edu.tw

James J. Jiang is a Distinguished Professor of Management at National Taiwan University (NTU). His research focus on IT Project Management and IT-enabled Program Management and has published more than 160 SSCI/SCI indexed journal articles in these areas with more than 14,000+ citations (H-index = 67; i10-index = 152). He is one of the most influential pioneers in IT Project Management and IT Program Management in the IS/IT discipline. Prof. Jiang has serviced as Senior Editor of MIS Quarterly and Journal of Association of Information Systems. Currently, he is the Editor-in-chief of Pacific Asia Journal of the Association for Information Systems. He is also a Fellow of the Association for Information Management.

Christoph Rosenkranz
University of Cologne
rosenkranz@wiso.uni-koeln.de

Christoph Rosenkranz is Professor for Integrated Information Systems at the Cologne Institute for Information Systems (CIIS) of the University of Cologne. His research focuses on information systems development, IT project management, IT-driven design and innovation, process management, and organizational effects of IT-driven transformation. He has published in such journals as MIS Quarterly, Journal of the Association for Information Systems, Journal of Information Technology, and Information Systems Journal as well as others. Christoph has serviced as an Associate Editor for Information Systems Journal and as Program Chair for the European Conference for Information Systems, amongst others.

Debra VanderMeer
Florida International University
vanderd@fiu.edu

Debra VanderMeer is a professor of Information Systems at Florida International University (FIU). Her current research interests focus on applying concepts from computer science and information systems to real-world problems. Her work appears in premier journals and conferences in these areas. Prior to joining FIU, she spent a decade working in industry, including roles in a venture-funded startup. She holds a bachelor’s degree from Georgetown University, a Master of Science in Management Information Systems from the University of Arizona, and a doctoral degree in Computer Science from the Georgia Institute of Technology.

Track Description

We are living in an age of change. Digital transformation through innovative technology has revolutionized the way that information systems are envisioned, built, and managed. Such transformation enables the delivery of pioneering services and inventive products, with the potential to change the lives of individuals and society as a whole. Innovations in artificial intelligence have reshaped possibilities in design and development. Advances in project coordination methods across functional, geographic, and cultural boundaries have enabled greater agility in project teams to deliver on project goals. While such innovation introduces a world of possibilities, it also introduces greater complexity and potential for unforeseen and unintended outcomes. The promises and challenges associated with digital transformation create unique opportunities and avenues for novel research, with a particular emphasis on change and agility in information systems design, development, and project management.

This track welcomes papers that improve our understanding of the dynamic and complex nature of IS design, development, and project/program management in the digital age. We are especially interested in papers that advance theory and practice of emerging technologies in the context of varied organizational settings where IS design and project/program management often occur and the societal contexts where they are deployed. We welcome all types of research, including empirical, analytical, conceptual, design-oriented, and simulation-based studies, that address social and technical aspects of IS design, development, and project/program management at the organizational, group, and individual levels.

Topics of interest include, but are not limited to:

  • Agile Project Management in IS Development: How agile methods are revolutionizing the way IS projects are designed, developed, and delivered.
  • DevOps in IS: Integration of development and operations to improve software delivery, quality, and customer satisfaction.
  • Cloud-Native IS Development: Designing and implementing IS solutions that leverage cloud computing technologies.
  • Cybersecurity in IS Project Management: Ensuring the security of IS projects from design to deployment.
  • Digital Transformation in IS Project Management: Leading and managing the changes required for digital transformation initiatives.
  • Human-Centered Design in IS: Embracing user needs and experiences throughout the design and development process.
  • Leading Global IS Projects: Managing diverse teams and cultural differences to achieve project success.
  • Sustainability in IS Project Management: Integrating environmental, social, and governance (ESG) considerations into IS projects.
  • Designing and Developing AI-based Systems: creating pioneering information systems based on artificial intelligence technologies, e.g., large language models
  • AI in Designing and Developing AI-based Systems: using AI to facilitate the creation innovative information systems
  • Machine Learning Techniques and Applications: extending the reach of machine learning techniques and developing novel applications using machine learning
  • Low-code/no-code Development: developing techniques to increase the accessibility of information system implementation to require less training to create useful technologies.

Associate Editors

  • Suranjan Chakraborty, Towson University, USA
  • Cecil Chua, Missouri University of Science & Technology, USA
  • Abhijeet Ghoshal, University of Illinois Urbana-Champaign, USA
  • Sean Hansen, Rochester Institute of Technology, USA
  • Phil Hennel, University of Bremen, Germany
  • Inkyoung Hur, Florida Atlantic University, USA
  • Anton Ivanov , University of Illinois Urbana-Champaign, USA
  • Hasan Kartal, University of Illinois Springfield, USA
  • Jong Seok Lee, University of Tennessee, USA
  • Yuzhu (Julia) Li, University of Massachusetts Dartmouth, USA
  • Sabine Matook, University of Queensland, Australia
  • Kai Spohrer, Frankfurt School of Finance and Management, Germany
  • Viktoria Stray, University of Oslo, Norway
  • Jacob Chia-An Tsai, National Yunlin University of Science and Technology, Taiwan
  • Anna Wiedemann, ZHAW School of Management and Law, Switzerland
  • Xiasong (Jason) Wu, Tsinghua University, China
  • Howard Zhong, ECSP Business School, France

Track Title:

IT Implementation and Adoption

Track Chairs

Jennifer Claggett
Wake Forest University
claggejl@wfu.edu

Jennifer Claggett is an Assistant Professor of Management Information Systems in the School of Business at Wake Forest University. She received her Ph.D. from the University of Georgia. Her research projects include studying how technology impacts the coordination process, how individuals decide on the credibility of various types of medical information generated by or presented on digital devices, the psychological effects of wearable devices and digital reports, and how to design faster and more accurate algorithms to search online medical contexts. Dr. Claggett’s work has been published in leading journals, including MIS Quarterly, Academy of Management Review, and the Journal of Medical Internet Research.

Christian Maier
University of Bamberg
christian.maier@uni-bamberg.de

Christian is Full Professor at the University of Bamberg in Germany. His research interests include the IS use life cycle, especially the adoption, usage, and discontinuous usage of digital technologies in private and organizational use contexts. His research has been published in each “AIS-8” journal, including MIS Quarterly and Information Systems Research. He was awarded the Heinz Maier-Leibnitz price and the Early Career Awards by the AIS and the ACM SIGMIS.

Xiaojun Zhang
Hong Kong University of Science and Technology
xiaojunzhang@ust.hk

Xiaojun Zhang is an Associate Professor of Information Systems in the School of Business and Management at the Hong Kong University of Science and Technology. He received his Ph.D. from the University of Arkansas. His primary research stream focuses on understanding the impacts of technology on performance outcomes. Dr. Zhang’s research has been published in various journals, including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, and European Journal of Information Systems. He has previously served as an Associate Editor for MIS Quarterly.

Track Description

In today’s era, digital technologies, especially the burgeoning field of AI, have profoundly reshaped our global landscape across various domains. As the Information Technology (IT) artifact continues to evolve and permeate our personal and professional lives, we are interested in increasing our understanding of the behavioral, organizational, and institutional factors that impact the acceptance and use of IT. Comprehending the implementation processes and approaches that enable the generation of value from IT in positive ways is equally important.

This track invites research that offers fresh theoretical, methodological, and practical insights into the implementation, adoption, and use of Information Systems (IS) and digital technologies in our rapidly changing world. The track welcomes papers grounded in a diverse range of theories, perspectives, and methodologies that address real-world problems. We encourage papers that employ fresh theories and utilize a combination of qualitative and quantitative approaches in field and laboratory environments, as well as simulation and modeling. The track is open to all methodologies that enhance our understanding of the implementation, adoption, and use of various types of IS in different contexts.

Topics of interest include, but are not limited to:

  • Social and Ecological Challenges: Utilizing implementation, adoption, and use of IS and digital technologies to tackle social and ecological problems, such as systemic discrimination, social justice, societal crises, and climate change
  • Conceptual Views on Technology Adoption: Novel redefining conceptual perspectives on what constitutes adoption and use in the light of the context of interconnected, autonomous or invisible technologies
  • Connected Devices and Services: Investigating IS adoption and implementation in environments with interconnected devices, services and ecosystems, considering with path dependencies, social interactions, and network externalities
  • Context-Specific Factors: Examining Contextualized factors influencing on IT/IS adoption and use at micro and macro levels to understand context-related factors.
  • Technology in New Fields: Assessing opportunities and challenges for the implementation and adoption of IS and digital technologies in traditionally non-technology-intensive industries and contexts, including agriculture, government, and utilities
  • Feature- or Affordance- Focus in IT/IS: Analyzing how specific features or affordances of IT/IS influence adoption and use
  • Global or Cross-cultural Studies: Understanding of IT/IS implementation, adoption, and post-adoption in different cultural contexts
  • Impact of Global Crises and Innovation: Studying how the impact of global crises and disruptive innovations on affecting IS implementation, adoption and use
  • Innovative Philosophical and Theoretical Perspectives: Exploring novel philosophical/, theoretical/, methodological perspectives to tackle the issues of the implementation, adoption and use of digital technologies
  • Interdependencies in Adoption Decisions: Investigating interdependencies between individual, group, organizational, or societal IT/IS adoption decisions and using multilevel perspectives on adoption
  • Longitudinal Studies: Using long-term perspectives on (post-)adoption and use behaviors
  • Platform-Based Ecosystems: Studying the implementation of and interactions within digital platform-based ecosystems
  • Talent Development for IS: Focusing on nurturing skills necessary for effective development and growth of talent for IS implementation
  • User-Driven Innovation: Exploring how users innovate with digital technologies and IS
  • Value Creation through Digital Technologies: Exploring how value creation for individuals, organizations, and societies create value through the implementation and use of digital technologies in different contexts

Associate Editors:

  • Elizabeth Baker, Virginia Commonwealth University, USA, USA
  • Arturo Cano Bejar, Arizona State University, USA
  • Frank Chan, ESSEC Business School, France, France
  • Liwei Chen, University of Cincinnati, USA
  • Andreas Eckhardt, University of Innsbruck, Austria
  • Saurabh Gupta, Kennesaw State University, USA
  • Yongsuk Kim, Sungkyunkwan University, South Korea
  • Siyuan Li, William & Mary, USA
  • Yafang Li, University of Memphis, USA
  • Juuli Lumivalo, University of Jyväskylä, Finland
  • Annette Mills, University of Canterbury, New Zealand, New Zealand
  • Jeff Mullins, University of Arkansas, USA
  • Evelyn Ng, University of Sydney, Australia, Australia
  • Greta Polites, Kent State University, USA
  • Hamed Qahri-Saremi, Colorado State University, USA
  • Victoria Reibenspiess, Wake Forest University, USA
  • Annamina Rieder, Simon Fraser University. Canada, Canada
  • Markus Salo, University of Jyväskylä, Finland, Finland
  • Azadeh Savoli, IÉSEG School of Management, France, France
  • Abdul Sesay, University of Georgia, USA
  • Tanner Skousen, Brigham Young University, USA
  • Jacob Steffen, Brigham Young University, USA
  • Nehir Tanyel, University of Cincinnati, USA
  • Isaac Vaghefi, City University of New York, NY, USA
  • Christoph Weinert, University of Bamberg, Germany, Germany
  • Nan Zhang, Harbin Institute of Technology, China
  • Melody Zou, Warwick Business School, UK

Track Title:

Data Analytics for Business and Societal Challenges

Track Chairs

Jingjing Li
University of Virginia
jingjing.li@virginia.edu

Professor Li’s research interests relate to artificial intelligence and big data analytics, with applications in search engine, healthcare, marketing, platform and public policy. Her research has been published in MIS Quarterly; Information Systems Research; Journal of Marketing; Strategic Management Journal; Review of Economics and Statistics; Journal of Management Information Systems; and ACM TOIS. She is a winner of the INFORMS Design Science Award, INFORMS CIST Best Paper Award, INFORMS Data Science Workshop Best Paper Award, WITS Best Paper Award, and WITS Best Prototype Award. Her research is also nominated as the finalist for Shelby D. Hunt/Harold H. Maynard Award. Her research has been funded by NSF, Amazon, Google and Microsoft. She currently serves as an associate editor for MIS Quarterly.

Esko Penttinen
Aalto University
esko.penttinen@aalto.fi

Esko Penttinen is an Associate Professor in Information Systems at Aalto University School of Business (Finland). Penttinen’s research helps organizations understand the intricacies related to the implementation of various forms of artificial intelligence, allowing organizations to harness its benefits while avoiding the pitfalls. Penttinen’s main practical expertise lies in the assimilation and economic implications of inter-organizational information systems, focusing on application areas such as electronic financial systems, government reporting (XBRL), and electronic invoicing. Penttinen’s research has appeared in leading IS outlets such as MIS Quarterly, Journal of the Association for Information Systems, Information Systems Journal, European Journal of Information Systems, and Journal of Information Technology.

Chuan Hoo Tan
National University of Singapore
tancho@comp.nus.edu.sg

Chuan Hoo is an Associate Professor at the National University of Singapore (NUS). His research interests are (1) the digital economy and (2) digitalization and the future of work. He serves or has served on the editorial boards of leading journals, including Information Systems Research (Associate Editor), MIS Quarterly (Associate Editor), Journal of AIS (editorial board member), and IEEE Transactions on Engineering Management (editorial board member), among others. Chuan Hoo is the recipient of the INFORMS ISS Design Science Award (2013), the MIS Quarterly Outstanding Associate Editor Award (2016), the Journal of AIS Best Reviewer Award (2016), the Journal of AIS Reviewer Hall of Fame (only one scholar recognized to be a top reviewer with over 50+ papers reviewed in 2020), among others.

Track Description

This track seeks to gather contemporary research works that have applied and/or developed novel data science and analytics methods, techniques, algorithms, and theories, to address challenging and real-world problems. We are particularly interested in developing research works that would benefit and impact how we do business, live, and socialize. While we do not limit the spectrum of domains, some of the suggested domains could be small and medium-sized enterprises, digital business and innovation, healthcare and wellness, community-based social services, judicial system and democracy, fraud and deception, social cohesion and inclusion, privacy and security, social media and politics, sustainability and climate change, etc. Contributions may be motivated by the shortcomings of state-of-the-art approaches in addressing practical challenges or may apply novel data science tools to existing problems. This track is open to all types of research, including conceptual, theoretical, analytical, and/or empirical.

Topics of interest include, but are not limited to:

  • Acquiring and building analytics capability for improved firm competitiveness
  • Analytical solutions for enhancing the survivability of small and medium-sized enterprises
  • Emerging digital business and innovation, including crowdsourcing and crowdfunding for collective wisdom and resources
  • Changing consumer habits and the accompanying need for firms to transform and use analytics to change products and services
  • Analytics that address societal issues, such as social cohesion and inclusion
  • Future of work, work transformation, and work-life balance (machines replacing humans, machines complement humans)
  • Data-driven policy implementations, e.g., to address sustainability and climate change challenges
  • Fairness and ethics of analytics applications
  • Healthcare data issues, e.g., privacy, personalization, and information sharing
  • Healthcare delivery issues, e.g., telehealth and at-home testing
  • Information visualization and presentation of complex, controversial data
  • Information quality, information sharing, and trust issues
  • Social networks and contact tracing and relevant privacy challenges
  • Societal aspects around data (data monetization, information businesses, and data products)
  • Unstructured data analysis (e.g., text, image, audio, video) to address business and/or societal challenges
  • Use of structured data (e.g., XML and XBRL) and standardized data taxonomies in data analytics

Associate Editors

  • Konstantin Bauman, Temple University, US
  • Jeff Cai, University of Notre Dame, US
  • Nan Chen, National University of Singapore, Singapore
  • Nicholas Danks, Trinity College Dublin, Ireland
  • David Dobolyi, University of Colorado Boulder, US
  • Yutong Guo, Chinese University of Hong Kong (Shenzhen), China
  • Sh He, University of Connecticut, US
  • Irina Heimbach, WHU, Germany
  • Yuxin Huang, Soochow University, China
  • Varun Karamshetty, National University of Singapore
  • Yeongin Kim, Virginia Commonwealth University, US
  • John Lalor, University of Notre Dame, US
  • Yan Leng, University of Texas Austin, US
  • Weifeng Li, University of Georgia, US
  • Rong Liu, Stevens Institute of Technology, US
  • Bowen Lou, University of Connecticut, US
  • Tengteng Ma, University of South Florida, US
  • Biljana Mileva , Jožef Stefan Institute, Slovenia
  • Reza Mousavi, University of Virginia, US
  • Oliver Mueller, Paderborn University, Germany
  • Nikolaus Obwegeser, Bern University of Applied Sciences, Switzerland
  • Hyelim Oh, Sogang University, South Korea
  • Chris Parker, American University, US
  • Aleš Popovič, Neoma Business School, France
  • Melanie Reuter-Oppermann, TU Darmstadt, Germany
  • Sagar Samtani, Indiana University, US
  • Zhe Shan, Miami University, US
  • Donghyuk Shin, Arizona State University, US
  • Peijian Song, Nanjing University, China
  • Lauri Viitasaari, Aalto University, Finland
  • Qi Wang, City University of Hong Kong, Hong Kong
  • Jiaheng Xie, University of Delaware, US
  • Haifeng Xu, Shanghai Jiaotong University, China
  • Jingyuan Yang, George Mason University, US
  • Alper Yayla, University of Tampa, US
  • Julie Zhang, University of Massachusetts Lowell, US
  • Ying Zhang, University of Auckland, New Zealand
  • Mi Zhou, University of British Columbia, US
  • Tongxin Zhou, Arizona State University, US

Track Title:

Digital Innovation, Transformation, and Entrepreneurship

Track Chairs

Jens Förderer
Technical University of Munich
jens.foerderer@tum.de

Jens Förderer is professor at the Technical University of Munich (TUM), School of Management where he leads the Professorship for Innovation and Digitalization. He received his B.Sc., M.Sc., and PhD in information systems from the University of Mannheim, Business School.

His research interests cover the economics of information systems, especially competition in digital markets, measuring digital transformation progress, and estimating the value created by digital technologies. Jens’ research has been published in the leading journals of the field, including multiple times in Management Science and Information Systems Research. His research has received several awards, including the INFORMS Information Systems Research Best Paper of the Year Award, and has been funded by various organizations, including by an ERC Starting Grant.

Yu Tong
Zhejiang University
tong_yu@zju.edu.cn

Yu Tong is an Associate Professor at the School of Management, Zhejiang University and Vice Director at the Center for Research on Zhejiang Digital Development and Governance. Her research interests cover digital health, use and management of information systems, and emerging forms of IT-enabled collaboration. Her work has been published in journals such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems and Journal of the Association for Information Systems. She has chaired several competitive grants including 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 awards.

Youngjin Yoo
Case Western Reserve University
youngjin.yoo@case.edu

Youngjin Yoo is the Elizabeth M. and William C. Treuhaft Professor in Entrepreneurship and Professor of Information Systems at the Department of Design & Innovation at the Weatherhead School of Management, Case Western Reserve University, where he also serves as the associate dean of research. An Association of Information Systems Fellow, he is also WBS Distinguished Research Environment Professor at Warwick Business School, UK. He is a faculty co-director of xLab at Case Western Reserve University. He has worked as the Innovation Architect at the University Hospitals in Cleveland, overseeing the digital transformation efforts at one of the largest teaching hospital systems in the country. He studies digital innovation and has published at leading academic journals such as MIS Quarterly, Information Systems Research, Organization Science, the Journal of AIS, Information & Organization, the Communications of the ACM, and the Academy of Management Journal.

Track Description

Wave after wave of novel digital technologies are continually enabling new products, processes, and modes of organizing. Digital innovations rooted in mobile and distributed computing, social media, digital platforms, data analytics, artificial intelligence, blockchains, Internet of Things, cloud computing, virtual reality, and robots are reshaping and disrupting established ways of business operations. Digital innovations generate new possibilities for innovation and entrepreneurship in a wide range of domains including healthcare, education, retail, finance, and manufacturing industries. Indeed, organizations must innovate continuously in order to thrive.

Digital innovation, entrepreneurship and transformation are ubiquitous. Work is increasingly being virtualized, digitalized, or even completely automated. New platform-based forms of digital organizing have emerged. Innovation processes themselves are becoming more open, less predictable, and more fluid.
Our track invites researchers to re-evaluate traditional assumptions and create new theories and methods about how digital technologies shape, change, or even upend knowledge about processes and outcomes of innovation, entrepreneurship, and new business models.

The IS research community is uniquely positioned to address these issues, for at least two reasons. First, the information systems field emphasizes knowledge that attends to socio-technical organizing. Second, the information systems field is inherently interdisciplinary, covering behavioral, organizational, economic, and technical aspects of information and communication technologies.

These research challenges require the joint effort of scholars with an interest in the role of digital technology, be they from fields of information systems research, management science, organizational studies, innovation management, entrepreneurship or other disciplines. We welcome interdisciplinary work, but with a distinct contribution to information systems.

We welcome research from any tradition that advances existing theories or generates new theoretical lenses. We welcome conceptual and empirical (qualitative, quantitative, and computationally-intensive) research. We particularly welcome cross-disciplinary or cross-paradigmatic approaches. We also encourage work that discusses the above topics in light of ethics, gender, and sustainability.

Topics of interest include, but are not limited to:

  • Digital Innovation
  • Digital Entrepreneurship
  • Digital Product Development
  • New Venture Creation & Technology Ventures
  • Data-Driven Innovation
  • New Business Models and Digitalization of Business Models
  • Digital Transformation
  • Digital Platforms

Associate Editors

  • Cristina Alaimo, LUISS, Italy
  • Lukas Falcke, KIN VU Amsterdam, Netherlands
  • Abayomi Baiyere, Queens University, Canada
  • Yidong Chai, Hefei University of Technology, China
  • Jing Chen, Beihang University, China
  • Gang Chen, Zhejiang University, China, China
  • Robert Gregory, University of Miami, USA
  • Jonny Homlstrom, Umeå universitet, Sweden
  • Philip Hukal, Copenhagen Business School, Denmark
  • Lena Hylving, Oslo University , Norway
  • Anne Ixmeier, LMU, Germany
  • Miyeong Jung, University of Nevada, Las Vegas, USA
  • Eric Kwon, NTU, Singapore
  • Gene Moo Lee, University of British Columbia, Canada
  • Julian Lehmann, Arizona State University, USA
  • Julien Malaurent, ESSEC, France
  • Raveesh Mayya, NYU Stern, USA
  • Zixuan Meng, UT Dallas, USA
  • Dominik Molitor, Fordham University, USA
  • Xixian Peng, Zhejiang University, China, China
  • Florian Pethig, Tilburg University, Netherlands
  • Frederik von Briel, University of Queensland, Australia
  • Cong Wang, Peking University, China, China
  • Seokjun Youn, The University of Arizona , USA
  • Zhewei Zhang, WBS, UK

Track Title:

Social Media and Digital Collaboration

Track Chairs

Xuefei (Nancy) Deng
California State University
ndeng@csudh.edu

Dr. Xuefei (Nancy) Deng is a tenured Full Professor of Information Systems at the College of Business Administration and Public Policy at California State University, Dominguez Hills. Nancy’s research interests include crowdsourcing; digital and social media; information technology workforce; STEM career; first-generation college students, and social inclusion. She is the co-PI on a 2-year grant totaling $5.3M from the Connecting Minority Communities pilot program of the U.S. National Telecommunications and Information Administration (NTIA).

Nancy has published her research work in top-tier IS journals, including MIS Quarterly (MISQ); Journal of Management Information Systems (JMIS); Journal of the Association for Information Systems (JAIS); Information Systems Journal (ISJ); Information Technology & People (ITP); and Decision Support Systems (DSS), among others. She is currently the Co-Editor-in-Chief of The Data Base for Advances in Information Systems. She also serves as an Associate Editor at Information Systems Journal; Information and Organization; and ACM Transactions on Social Computing. Her leadership positions also include program co-chair at the ACM SIGMIS Computers and People Research (CPR) conference 2023 and co-chair of the Information Technology, Social Justice and Marginalized Contexts Track at the Hawaii International Conference on System Sciences (HICSS-57 & -58).

Alexander Richter
Victoria University of Wellington
alex.richter@vuw.ac.nz

Professor Alexander Richter researches the “digital transformation in organisations”, in particular the interplay of individual practices, organisational context and information technology. His studies have been published in leading and interdisciplinary journals, awarded with several best paper awards from academia and industry, covered by many major news outlets and cited more than 7000 times.

Alex believes in the positive impact of engaged scholarship. Over the course of his career, he was involved in more than 30 projects aiming to design digital workplaces (supported by either the European Union, national governments or companies like Airbus, Allianz, Bayer, BMW and Bosch).

He is a co-editor at i-com journal of interactive media, a department editor at Business & Information Systems Engineering, and a member of several further journal editorial boards. He has been a co-chair of the ECIS Social Media track since 10 consecutive years (2015-2024) and has chaired over 25 similar tracks at other conferences like ICIS, PACIS, ACIS, HICSS and WI.

After holding various, concurrent, leadership positions, including Inaugural Director of the Executive MBA (2019-2021) and Associate Dean (2020-2023), at Victoria University of Wellington and co-chairing ACIS 2023, he spends most of 2024 on sabbatical.

Shirish C. Srivastava
HEC, Paris
srivastava@hec.fr

Dr. Shirish C. Srivastava is a tenured Full Professor and GS1 France Chair on Digital Content for Omni Channel at HEC, Paris. Prior to joining HEC, Dr. Srivastava has lectured at the School of Business, National University of Singapore and holds a Ph.D. from the same university. He is an alumnus of the International Teachers Program, (ITP) from the Kellogg School of Management, Northwestern University and is a certified senior Cultural Intelligence (CQ) facilitator from The Cultural Intelligence Centre, Michigan, USA. He has also completed his habilitation à diriger des recherches (HDR) from Université de Lorraine, France. At HEC, he teaches in the Grand Ecole, Masters, Doctoral, Executive MBA and Custom Executive Education Programs. His rich experience includes coaching senior executives on issues related to managing technology and cross-border business relationships.

His research has been published in several top journals such as MIS Quarterly (MISQ), Information Systems Research (ISR), Journal of Management Information Systems (JMIS), Journal of the Association for Information Systems (JAIS), European Journal of Information Systems (EJIS), Information Systems Journal (ISJ), Journal of Information Technology (JIT), and MIS Quarterly Executive (MISQE), among others. He has also authored several book chapters. He currently serves as a Senior Editor at the Journal of the Association for Information Systems (JAIS) and the European Journal of Information Systems (EJIS). He also is an editorial board member at the Journal of Management Information Systems (JMIS) and an Associate Editor at the Information Systems Research. Dr. Srivastava is widely traveled and has spoken at various forums in several countries across the globe including – Australia, Belgium, Brazil, Canada, China, Croatia, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, India, Italy, Japan, Kuwait, Lithuania, Malaysia, Mexico, Netherlands, Norway, New Zealand, Peru, Qatar, Saudi Arabia, Spain, Singapore, Slovenia, Sweden, Switzerland, Thailand, U.A.E., U.K., U.S.A. and Vietnam.

He has been thrice nominated for the prestigious Carolyn Dexter Award at the Academy of Management (AOM) Meetings 2005, 2007 and 2008 and was a finalist for the award at AOM 2007. He was nominated for the academy wide William H. Newman award at the AOM 2009, Chicago and is the winner of the Gerardine DeSanctis Dissertation Award for the best doctoral dissertation paper in organizational communication and information systems in the same year. He was again nominated for the William H. Newman award at AOM 2012, Boston by the international management division. He has also been a winner at the Society for Information Management (SIM) Paper Awards Competition, 2007. He is a four-time winner of the Prix Académique de la Recherche en Management, 2013, 2015, 2016 and 2022 at Paris, France. His research interests include e-government, services sourcing, technology enabled innovation, artificial intelligence, opensource, and social media strategy.

Track Description

Social media continues to be a prominent feature of individual, organizational and societal life. Its broad reach extends from facilitating personal interactions to shaping the global flows of information among organizations and nations. Impacting individuals, social media is often a primary source of news, a platform for establishing and maintaining personal networks, and a tool for managing identity and building reputation. For organizations, social media can serve as a means to engage with customers, a channel for shaping brand image, a valuable source of information for business decisions, and an avenue for influence on a global scale. On the societal level, social media can help coordinating social movements, understanding needs and preferences, providing services, and promoting social and political values. Social media has also had unintended consequences including the growing skepticism about traditionally accepted information sources, amplification of hate speech and other forms of cyberbullying, cybercrime, harvesting of personal data, and the emergence of filter bubbles.

With recent pandemic events, digital collaboration has become even more prominent. Digital tools and platforms have become crucial means for facilitating collaboration in small groups and large-scale collectives. Digital collaboration takes many forms in a wide range of domains including open innovation, crowd work, distributed and hybrid teams, knowledge sharing communities, human-machine collaboration, and work-from-home (WFH) schemes. Evolving technologies, such as intelligent assistance systems, digital platforms, or AI agents as collaborators, facilitate greater participation in the exchange and integration of knowledge and resources. However, they also raise questions about fairness, effectiveness, ownership of intellectual property, overload, and suboptimal collaboration dynamics.

One fast evolving technology in the past year, generative AI, such as ChatGPT, has shown a great potential to impact digital collaboration. The rapid advancement of generative AI signifies a shift from AI as a mere tool to AI as a teammate, enhancing human capabilities in complex tasks. With its power to produce various types of content, including text, images, audio, code, and other data, generative AI has been adopted in workplaces very quickly. Yet, our understanding of its impact on collaborations, especially human-machine collaboration, is at its beginning stage. How to use generative AI to assist and augment human abilities while avoiding misuse and risks have emerged as an important area of research inquiry in digital collaboration.

We invite submissions that explore new areas, advance new insights, develop new methods, or challenge established points of view on social media phenomena and/or digital collaboration. The track is open to empirical, methodological, and conceptual research employing diverse theoretical and methodological perspectives and paradigms.

Topics of interest include, but are not limited to:

  • Understanding the value and impact of using social media
  • Collaboration spanning online and offline interactions
  • Interactions (or lack of), competition or collaboration between social media groups
  • Intra-and-inter-enterprise use of social media or digital collaborations
  • Promoting resilience and integration of work-from-home into organizations
  • Influence of social media and digital collaborations on changing nature of work
  • Digital collaboration practices within and across organizations and in society
  • Novel theories about social media or digital collaboration and its effects on individuals, organizations, and/or societies
  • Novel designs of social media or digital collaboration to encourage information diffusion, knowledge sharing, and/or better collaboration dynamics
  • Novel qualitative or quantitative methods of assessing social media or digital collaboration
  • New method development (e.g., econometric or data-science methods) to study and better harness the business potential of social media or digital collaboration
  • Reputation and trust in social media or digital collaboration
  • Negative aspects of social media or digital collaboration, and their mitigation strategies, methods, or designs
  • Use of social media or digital collaboration to combat environmental crises
  • AI-enhanced collaboration processes and human-AI (machine) collaboration
  • The collaboration of AI-based systems with social media users (e.g., identifying fake news with ML, delivering facts in echo chambers with conversational agents or social bots)

Associate Editors

  • Suchit Ahuja, Concordia University, Canada
  • Reza Alibakhshi, IE Business School, Spain
  • Eva Bittner Bittner, University of Hamburg, D
  • Shalini Chandra, SP Jain School of Global Management , Dubai/Singapore/Australia
  • Yi-Te Chui, National Tsing Hua University, Taiwan
  • Sunghun Chung, George Washington University, USA
  • Jocelyn Cranefield, Victoria University of Wellington, NZ
  • Wenging (Wendy) Duan, George Washington University, USA
  • Ester Gonzalez, California State University, Fullterton, USA
  • Gaurav Gupta, NEOMA Business School, France
  • Janine Hacker, University of Liechtenstein, Liechtenstein
  • Elina Hwang, University of Washington, USA
  • Stan Karanasios, University of Queensland, AUS
  • Haris Krijestorac, HEC Paris, France
  • Sherah , Kurnia, University of Melbourne, AUS
  • Harris Kyriakou, ESSEC Business School, France
  • Michael Leyer, Queensland University of Technology, AUS
  • Julian Marx, University of Melbourne, AUS
  • Tom Mattson, University of Richmond, USA
  • Poonacha Medappa, Tilburg University, Netherlands
  • Rohit Nishant, Laval/Queens , Canada/UK
  • Lanfei Shi, University of Virginia, USA
  • Anuragini Shirish, IMT Business School, University of Paris Saclay, France
  • Stefan Stieglitz Stieglitz, University of Potsdam & University of Sydney, D/ AUS
  • Tawei (David) Wang, DePaul University, USA
  • Tianjian (TJ) Zhang, California State University, Fullterton, USA
  • Aljona Zorina, IESEG Business School, Paris, France

Track Title:

Information Systems in Healthcare

Track Chairs

Xitong GUO
Harbin Institute of Technology
xitongguo@hit.edu.cn

Xitong GUO is a Professor of Information Systems and director of the eHealth Research Institute at the Harbin Institute of Technology. His research focuses on eHealth with special interests in healthcare data enabled service management for citizen wellness. He is PI for the State Key Program and Outstanding Scholars of the National Natural Science Foundation of China. His work has been published in MIS Quarterly, Information Systems Research, Production and Operations Management, Journal of Operations Management, Journal of Management Information Systems, and among others.

Ali Sunyaev
Karlsruhe Institute of Technology
sunyaev@kit.edu 

Monica Chiarini Tremblay
College of William & Mary
monica.tremblay@mason.wm.edu

Monica Chiarini Tremblay is the Dorman Family Professor of Business at the Raymond A. Mason School of Business, William and Mary. Her research focuses on business analytics and design science research, particularly in healthcare and government. She is currently working on several projects examining the role of digital technologies in delivering social justice and methods for transparent AI. Her publications appear in MIS Quarterly, Journal of the AIS, Journal of American Medical Informatics, Decision Sciences, Decision Support Systems, European Journal of Information Systems, ACM Journal of Data and Information Quality, and Communications of the AIS. She holds a Ph.D. and Master’s in business from the University of South Florida and a Bachelor of Science in industrial and systems engineering from the University of Florida. She has been the principal investigator on several federal, state, and private grants in Health Information Technology. She was a study session member for the Health Information Technology section of Agency Healthcare Research Quality (National Institute of Health). Before academia, Dr. Tremblay worked for Exxon Mobil as a systems analyst and engineer. She has served as an associate editor for Production and Operations Management, Journal of the AIS, Decision Sciences and Health Systems. She is a member of the Information Systems Research Review Board.

Ali Sunyaev is Professor at the Karlsruhe Institute of Technology, Germany. His research interests are reliable and purposeful information systems within the scope of critical infrastructures, cloud computing services, information security solutions, trustworthy AI, auditing/certification of IT, and innovative health IT applications. His research work accounts for the multifaceted use contexts of digital technologies with research on human behavior affecting IT and vice versa. His research appeared in journals including Information Systems Research, Journal of Management Information Systems, Journal of Information Technology, Journal of the AIS, The Journal of Strategic Information Systems, European Journal of Information Systems, ACM Computing Surveys, and others. His research work has been featured in a variety of media outlets.

 

Track Description

In response to the complex health challenges posed by the pandemic, climate change, and global conflicts, a range of healthcare IS/IT solutions merit academic study. Telehealth and telemedicine platforms are crucial, given their expanding role in providing accessible healthcare. The application of artificial intelligence and machine learning in diagnostics, along with big data analytics in public health, presents opportunities to enhance disease prediction and treatment personalization. The growing use of mobile health applications and wearable health technology offers a gateway to improved health monitoring and chronic disease management. The security and privacy of health data, especially in interconnected systems, highlight the importance of blockchain technology. Optimizing electronic health records for better patient outcomes, along with exploring the potential of remote patient monitoring systems, is essential in modern healthcare. Additionally, the integration of robotics in healthcare delivery, and the use of virtual and augmented reality in medical training and treatment, are innovative areas that hold promise for improving healthcare services and education. These technologies not only represent advancements in healthcare but also bring to light significant considerations regarding policy, ethics, and healthcare equity. In addition, the incorporation of Language Models (LMs) and Generative AI in healthcare offers the potential for substantial advancements in clinical decision support, enabling more precise and timely diagnosis and treatment by analyzing extensive patient data and medical literature. They also hold potential in personalizing patient communication automating administrative tasks such as documentation and scheduling, reducing the workload on healthcare professionals and allowing them to focus more on patient care. However, it’s vital to navigate these advancements with a keen awareness of ethical considerations, data privacy, and the necessity for unbiased, robust AI systems, ensuring that technological progress aligns with societal well-being and regulatory standards.

This track provides a forum for presenting and discussing original and innovative research highlighting the opportunities and challenges related to the multifaceted role of ICT in modern healthcare. We invite papers presenting qualitative, quantitative, business analytics, computational, conceptual, and design science-oriented research that leverage the multiple perspectives of information systems in the healthcare sector.

Topics of interest include, but are not limited to:

  • Design and implementation of healthcare information technologies (HIS), including real-world case studies involving diffusion, adoption, assimilation, and governance of
  • HIS
  • Healthcare dis– and mis-information issues
  • Economics of health IS/IT
  • People and systems interoperability in HIS, the impact on-healthcare providers, patients and payers
  • Healthcare analytics and AI in healthcare
  • Impact of Generative AI
  • Impact of innovative Information Technology in Healthcare
  • New methods of care delivery and payment
  • Organizational, operational, clinical and financial implications of HIS use
  • Public and community health informatics
  • Safety, security and privacy of health information
  • Telehealth and mobile applications and their impacts in post-pandemic healthcare, and reshaping healthcare with telemedicine and telehealth
  • User-generated content and its impact on healthcare practices and providers
  • Patient-centered health IS/IT and patient empowerment, including improving quality of care and personalization
  • Personalized and precision medicine
  • Advancing IS theories in healthcare settings
  • Conceptual papers and systematic literature reviews related to HIS and digital health

Associate Editors

  • Chad Anderson, Miami of Ohio, USA
  • Sezgin Ayabakan, Temple, USA
  • Ofir Ben-Assuli, Ono Academic College, Israel
  • Lina Bouyad, Florida International University, USA
  • Christopher B. Califf, Western Washington University, USA
  • Liwei Chen, University of Cincinnati, USA
  • Yichen Cheng, Georgia State University, USA
  • Yuanyuan Dang, South China University of Technology, China
  • Pari Delir Haghigh, Monash University, Australia
  • Martin Gersch, Freie Universitat Berlin, Germany
  • Sangwook Ha, BNU-HKBU United International College, China/HK
  • Hyeyoung Hah, Florida International University, USA
  • Haijing Hao, Bentley University, USA
  • Ciara Heavin, University College Cork, Ireland, Ireland
  • Mirou Jaana, University of Ottawa, Canada
  • Christina Keller, Lund University, Sweden
  • Rich Klein, University of Nebraska Omaha, USA
  • Tobias Kowatsch, University of St Gallen, Switzerland
  • Niklas Kuehl, Universität Bayreuth, Germany
  • Yan Li, Central University of Finance and Economics, China
  • Yu-Kai Lin, Georgia State University, USA
  • Tala Mirzaei, Florida International University, USA
  • Stavros Polykarpou, Royal Holloway University of London, UK
  • Hannes Schlieter, TU Dresden, Germany
  • David Schwartz, Bar Itan University, Israel
  • Stephan Stepanovic, University of Lausanne, Switzerland
  • Devinder Thapa, University of Adger, Norway
  • Scott Thiebes, Karlsruhe Institute of Technology, Germany
  • Nelly Todorova, University of Canterbury, New Zealand
  • Joshua Ryan Vest, Indiana University, USA
  • Zhao Wei, Xi’An Haotong University, China
  • Lauri Wessel, European New School of Digital Studies, Germany
  • Till Winkler, Fern Universitat in Hagen, Germany
  • Wenli Zhang, Iowa State University, USA
  • Xiaofei Zhang, Nankai University, China

Track Title:

IoT, Smart Cities, Services, and Government

Track Chairs

J.J. Po-An Hsieh
Georgia State University
jjhsieh@gsu.edu

J.J. Po-An Hsieh is an associate professor of information systems at Georgia State University. His current interest includes IT use and impacts, digital innovation, data analytics, artificial intelligence and future work. He has served or is serving among the editorial boards of MIS Quarterly (MISQ), Information Systems Research (ISR), Journal of Management Information Systems (JMIS), among others. He was the recipient of the Association of Information Systems (AIS) Mid-Career Award, Annual Best AE Award at ISR, the Annual Best Journal Paper Award and the Best Conference Paper Award by the Academy of Management (AOM), and the Best Paper Award at the International Conference on Information Systems (ICIS). He was also voted the Top Professor by students at Georgia State University for his teaching contributions.

Susanne Strahringer
Dresden University of Technology
susanne.strahringer@tu-dresden.de

Susanne Strahringer is Full Professor and Spokesperson of the Business Information Systems (BIS) Group at the Faculty of Business and Economics at TUD Dresden University of Technology, Germany. She is also affiliated with the Faculty of Computer Science (CS) at TUD. She has recently served as the spokesperson for the Business & Information Systems Engineering (BISE) section in the German Academic Association for Business Research. Prior to joining TU Dresden, she held positions at the University of Augsburg and the European Business School. She graduated from the Darmstadt University of Technology, where she also received her PhD and completed her habilitation thesis. Her research covers IS management topics such as shadow-IT or low-code development adoption, implementation and use of enterprise systems, data-driven value creation in private and public sectors (especially value creation through open data in smart city contexts). She has published in major IS outlets, served as a reviewer for them and as a track chair, AE or PC member for a wide range of IS, CS, or BISE conferences.

Xu Xin
Hong Kong Polytechnic University
xin.xu@polyu.edu.hk

Xu Xin is a Professor in Information Systems at the Department of Management & Marketing, Faculty of Business at The Hong Kong Polytechnic University. His current research interests include IT Service Innovation, Social Media Analytics, Human-AI Interaction, and Digital Assets. His work has appeared in leading academic journals—e.g., Management Science, MIS Quarterly, Information Systems Research, Journal of the Management Information Systems, Journal of the Association for Information Systems, Information Systems Frontiers, and IEEE Transactions on Engineering Management. His work has received a total citation of over 18,000 according to Google Scholar and he has been ranked in the Top 10% of authors at SSRN by both annual and total downloads since 2018. He served as Associate Editor for MIS Quarterly from 2015 to 2019.

Track Description

As we continue to witness remarkable advancements in IoT, its integration into the fabric of smart cities, and the subsequent impact on services and governance, this track seeks to encapsulate the synergies and innovations within these fields. This year, we aim to dissect and explore the interconnectedness of IoT, smart cities, and service innovation, highlighting how these areas collectively drive forward the frontiers of technology, urban planning, and public administration. From AI-enhanced IoT ecosystems in urban settings to the role of smart city technologies in refining government services, the track will offer a comprehensive look at the future of digital integration in our urban and governmental landscapes.

Generative AI, characterized by its ability to generate novel content and solutions, has the potential to revolutionize IoT and smart city domains. Known for its capacity to generate new content and solutions, generative AI represents a significant leap in various disciplines. In the realm of IoT and smart cities, it promises to generate predictive urban planning models, craft dynamic IoT security algorithms, and stand at the vanguard of innovation. Within smart cities, generative AI is poised to synthesize data from IoT devices into actionable urban management insights, enhance citizen services through personalization, and cultivate more adaptable, resilient urban ecosystems.

While having an emphasis on the ways generative AI can be utilized to innovate and expand the possibilities in IoT and smart city applications, this track will also explore a broad array of topics, ensuring a comprehensive and balanced discussion across these vital areas.

Topics of interest include, but are not limited to:

  • IoT Platform Architecture, Governance, and Interaction
  • Business Models and Value in IoT
  • AI and Machine Learning Applications in IoT
  • Edge Computing Advancements in Smart Cities
  • Cybersecurity Challenges in IoT
  • Citizen-Focused Smart City Solutions
  • Sustainable Urban Development via IoT
  • Decentralized Urban Energy Systems
  • Innovations in Smart Healthcare Services
  • Intelligent Transportation Systems (ITS)
  • Strategies for Digital Government and Civic Engagement
  • Data-driven governance and Open Data Utilization
  • Smart Building Strategies and Urban Planning
  • Ethical Considerations and Data Privacy in Smart Cities and IoT
  • Managing IoT Data Challenges
  • Enhancing Public Services through IoT
  • Augmented and Virtual Reality Applications in IoT
  • IoT Innovations in Waste Management
  • Smart Water Management Technologies
  • IoT Developments in Agriculture and AgriTech
  • Cross-Sector Collaborations in IoT
  • IoT’s Role in Enhancing AR, MR, and Metaverse Experiences
  • Smart Automobiles, Gadgets, and Homes: Opportunities and Challenges
  • Organizational Preparedness for IoT Innovations
  • Human-AI-Thing Interaction Dynamics
  • Digital Twin Technologies and Circular City Concepts
  • Regulation of Digital Technology and Data Practices

Associate Editors

  • Frederik Ahlemann, University of Duisburg-Essen, Germany
  • Tobias Brandt, University of Münster, Germany
  • Antonio Cordella, London School of Economics and Political Science, UK
  • Yogesh Dwivedi, Swansea University, UK
  • Daniel Fürstenau, IT University of Copenhagen, Denmark
  • Christian Janiesch, TU Dortmund University, Germany
  • Julia Krönung, FernUniversität in Hagen, Germany
  • Björn Niehaves, University of Bremen, Germany
  • Leif Sundberg, Umeå University, Sweden
  • Ulrika Westergren, Umeå University, Sweden
  • Markus Westner, OTH Regensburg, Germany
  • Xiaocong Cui, University of New Mexico, US
  • Sumantra Sarkar, Binghamton University, US
  • Yanran Liu, University of Cincinatti, US
  • Fei Ren, Peiking University, China
  • Ian Ho, Tulane University, US
  • Junyoung Park, Auburn University, US
  • Yong Jin, Hong Kong Polytechnic University, Hong Kong, China
  • Xiaowei Mei, Hong Kong Polytechnic University, Hong Kong, China
  • Honglin Deng, Tongji University, China
  • Jingjun Xu, City University of Hong Kong, Hong Kong, China
  • Honglei Li, Northumbria University, UK
  • Yuchen Yang, National Sun Yat-sen University, Taiwan, Taiwan, China
  • Shengli Li, Peking University, China
  • Jing Li, NEOMA Business School, France
  • Guangrui Li, York University, Canada

Track Title:

Governance, Digital Strategy, and Value

Track Chairs

Daniel Beimborn
University of Bamberg
daniel.beimborn@uni-bamberg.de

Daniel Beimborn is full professor of Information Systems Management and Dean of Studies at the University of Bamberg in Germany and Visiting Professor for Digital Transformation at the Frankfurt School of Finance & Management, Germany. His research focuses on the organizational success factors of digital innovation and transformation as well as on the management of outsourcing relationships. His work has been published in MIS Quarterly, Journal of Management Information Systems, Journal of the Association of Information Systems, Strategic Journal of Information Systems, Journal of IT and others. He serves as Senior Editor for the DATA BASE for Advances in Information Systems, as Associate Editor for the Journal of the Association of Information Systems, and as Associate Editor for Business and Information Systems Engineering (BISE).

John Dong
Nanyang Technological University
john.dong@ntu.edu.sg

John Dong is an associate professor at Nanyang Business School, Nanyang Technological University in Singapore. He conducts computational and empirical research at the intersection of information systems and strategic management, with a focus on digital transformation, digital innovation, and other digital strategy issues. His research appears in premier journals such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, Strategic Management Journal, and Journal of Management. He is the recipient of numerous awards, including the Early Career Award in 2020 and the Mid-Career Award in 2023 from the Association for Information Systems, and was named by Stanford University in the World’s Top 2% Scientists for 2023. Currently, he serves as an associate editor for MIS Quarterly and as a senior editor for Journal of the Association for Information Systems. MIS Quarterly named him “Outstanding Associate Editor” in 2022.

Min-Seok Pang
Temple University
minspang@temple.edu

Min-Seok Pang is an Associate Professor of Management Information Systems and Milton F. Stauffer Research Fellow at Fox School of Business, Temple University. His research interests include, among others, strategic management of information technology in the public sector and technology-enabled public policies. His research has been published in top-tier academic journals such as Management Science, MIS Quarterly, Information Systems Research, Strategic Management Journal, and Organization Science. He currently serves as a Senior Editor for Journal of the Association for Information System, an Associate Editor for Information Systems Research, and a Co-Editor for MIS Quarterly Special Issue on Digital Technologies and Social Justice.

Track Description

The advent of innovative digital technologies, such as those related with mobile, platforms, cloud computing, analytics, artificial intelligence (AI), blockchain, and internet of things (IoT), represent game-changing opportunities for organizations. These technologies can enable many organizations to offer new value propositions that better respond to competitive demands. However, they also pose existential and disruptive threats to many organizations, even those that have been successful in operating based on the established logics of the pre-digital economy.

In light of opportunities and challenges induced by new technologies, researchers and practitioners must answer complex questions relating to the strategic use and governance of these technologies for value creation and appropriation. For example, platform strategies offer a novel way to meet evolving market demands and create value in both the production and consumption ecosystems. In doing so, they may require organizations to balance the demands of both stability and agility as well as societal and ecological impacts through configuring their interorganizational relationships and governance mechanisms. Sustainability is yet another challenge. The emerging IoT is moving from trials to full deployments to enable the smart management of infrastructures like bridges and roads as well as consumer products like fashion items and personal IoT devices. Cloud computing allows ordinary employees with little formal technology training to deploy various systems and applications on their own. Analytics and AI could ameliorate more ways of creating value.

We invite thought-provoking, original, and high-quality research articles that expand and challenge our understanding of strategic management, governance, and the value of IS. We encourage interdisciplinary approaches leveraging theories from information systems, strategic management, economics, and other fields. We welcome papers using a wide range of research methods, including qualitative, quantitative, experimental, and design science approaches. Submitted papers should also offer meaningful and actionable implications for practitioners.

Topics of interest include, but are not limited to:

  • Digital business strategy and management
  • Strategy to leverage advanced technologies, such as analytics, AI, blockchain, etc.
  • Strategic management of digital transformation
  • Digital platform strategy and governance
  • Strategies and governance of online marketplaces
  • Creating value through customer participation via digital means
  • Digital value chain innovation
  • Strategies and value of digitally enabled networks
  • Digital architectures and IT governance models
  • Strategies for digitalization and transformation of work
  • Value impacts of digital transformation on jobs, incomes, and wages
  • Strategic business/IT alignment and value creation
  • Digital transformation for sustainability
  • Sustainable digital business models

Associate Editors

  • Ruba Aljafari, Virginia Tech, USA
  • Abhijith Anand, University of Arkansas, USA
  • Chenzhang Bao, Oklahoma State University, USA
  • Yevgen Bogodistov, Management Center Innsbruck, Austria
  • Thijs Broekhuizen, University of Groningen, The Netherlands
  • Chengxin Cao, Baruch College, USA
  • Inmyung Choi, Texas Tech University, USA
  • Paul Drews, Leuphana University Lueneburg, Germany
  • Marina Fiedler, University of Passau, Germany
  • Taha Havakhor, McGill University, Canada
  • Konstantin Hopf, University of Bamberg, Germany
  • Thomas Huber, ESSEC Paris, France
  • Ashish Jha, Trinity College Dublin, Ireland
  • Oliver Krancher, IT University Copenhagen, Denmark
  • Heeseung Lee, Hong Kong Baptist University, Hong Kong
  • Christine Legner, University of Lausanne, Switzerland
  • Haoyuan Liu, Nanyang Technological University, Singapore
  • Nadine Ostern, Queensland University of Technology, Australia
  • Yang Pan, Tulane University, USA
  • Jiyong Park, University of Georgia, USA
  • Lauren Rhue, University of Maryland, USA
  • Chaitanya Sambhara, University of Texas at Alington, USA
  • Zach Sheffler, University of Massachusetts-Amherst, USA
  • Shiva Shekhar, Tilburg University, The Netherlands
  • Edin Smailhodzic, University of Groningen, The Netherlands
  • Ankita Srivastava, Bentley University, USA
  • Feng Tian, Hong Kong Polytechnic University, Hong Kong
  • Jack Tong, Nanyang Technological University, Singapore
  • Nils Urbach, Frankfurt University of Applied Sciences, Germany
  • Shaobo Wei, Hefei University of Technology, China
  • Martin Wiener, Technical University Dresden, Germany

Track Title:

Organizing Business Processes in the Digital Age

Track Chairs

Hillol Bala
Indiana University
hbala@indiana.edu

Hillol Bala (ORCiD ID: https://orcid.org/0000-0002-3302-5015) is an associate professor of information systems, the Conrad Prebys Professor, and the co-director of the Institute for Digital Enterprise (IDE) at the Kelley School of Business, Indiana University, Bloomington. His Ph.D. (information systems) is from the Walton College of Business, University of Arkansas. His research interests are related to enterprise systems implementation; business process change; digital transformation in organizations (including healthcare organizations); and technology use, adaptation, and impacts. His work has appeared in premier academic journals, such as MIS Quarterly, Information Systems Research, Management Science, Production and Operations Management, Journal of Management Information Systems, Journal of Operations Management, IEEE Transactions on Software Engineering, Journal of the Association for Information Systems, Decision Sciences, European Journal of Information Systems, Information Systems Journal, The Information Society, Communications of the ACM, and MIS Quarterly Executive. He has held editorial roles for major information systems journals (e.g., MIS Quarterly, Information Systems Research, and Journal of the Association for Information Systems) and conferences.

Cheng Suang Heng
National University of Singapore
hengcs@comp.nus.edu.sg

Cheng Suang is an Associate Professor at the Department of Information Systems & Analytics, National University of Singapore. He has a background in Computer & Information Sciences (B.Sc. Hon and M.Sc.), and obtains his doctorate degree (Ph.D.) from Stanford University. His main research interests include the strategic use of digital technologies, as well as social media and digital platforms. He has published research works in journals such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, Research Policy, Decision Support Systems, Information & Management, among others.

Martin Matzner
Friedrich-Alexander-Universität
martin.matzner@fau.de

Martin is Professor of Information Systems and Chair of Digital Industrial Service Systems at FAU Erlangen-Nürnberg, Germany. His research areas include business process management, business process analytics, as well as service engineering and service management. In these areas, he concluded and currently manages several research projects funded by the European Union, by the German Federal Government and by industry. He has published more than 100 research papers and articles, among others in MIS Quarterly, Business & Information Systems Engineering, Decision Support Systems, Information Systems, IEEE Transactions on Engineering Management. He is Editor-in-Chief of the Journal of Service Management Research.

Track Description

In the contemporary business landscape, the centrality of business processes and routines is undisputed in ensuring effective work performance, and eventual organization performance. Although technology has always played a key role in designing, implementing, executing, enabling, and constraining processes and routines, the advent of modern digital technologies such as advanced analytics, process mining, robotic process automation (RPA), digital realities, blockchain, and artificial intelligence (AI) is revolutionizing the way organizations and individuals design and execute processes as well as deliver value to customers. Despite the rapid adoption of these digital technologies, there is still a significant gap in understanding their full impact on business processes. This track aims to explore the notion of business processes in the digital era, focusing on the application of digital technologies and systems in shaping and managing them. We aim to delve into the dynamics of processes, their design, implementation, and use, thereby contributing to the body of knowledge in business process management (BPM), routines, process analytics, and behavioral aspects of process implementation and use in information systems (IS) research.

We welcome diverse research contributions, including conceptual, empirical, design science, and methodological papers. We are particularly interested in interdisciplinary work that bridges BPM, digital technologies, routine dynamics, and related disciplines. Our topics of interest span a wide range, including but not limited to the following themes.

Topics of interest include, but are not limited to:

  • The interplay between humans, machines, and algorithms in business processes.
  • The influence of emerging technologies such as RPA, large language models, and AI solutions on organizational processes and their governance and management.
  • The transformation and innovation of processes and routines through digital technologies, such as advanced analytics, process mining, robotic process automation (RPA), digital realities, blockchain, and artificial intelligence (AI).
  • Strategies for balancing exploration and exploitation in organizational processes.
  • Utilizing process mining and data mining methods to analyze business processes.
  • Managing processes within platform-based and sharing economy models.
  • Behavioral issues in adopting, adapting, and executing business processes that are enabled or constrained by digital technologies.
  • Adapting organizational routines and management to dynamic environments and shifting consumer needs.
  • Enhancing process resilience against external disruptions.

Associate Editors

  • Jin Chen, University of Nottingham Ningbo, China
  • Adela del Río Ortega, Universidad de Sevilla, Spain
  • Amit Deokar, University of Massachussetts at Lowell , USA
  • Maren Gierlich-Joas, Copenhagen Business School, Denmark
  • Marta Indulska, University of Queensland, Australia
  • Arpan Kar, Indian Institute of Technology (IIT), Delhi, India
  • Axel Korthaus, Swinburne University, Australia
  • Akshat Lakhiwal, University of Georgia, USA
  • Shi Ying Lim, National University of Singapore, Singapore
  • Jan Mendling, HU Berlin, Germany
  • Brian Pentland, Michigan State University, USA
  • Jana-Rebecca Rehse, University of Mannheim, Germany
  • Maximilian Roeglinger, University of Bayreuth, Germany
  • Michael Rosemann, QUT Brisbane, Australia
  • Flávia Maria Santoro, University of the State of Rio de Janeiro, Brazil
  • Yi Shen, Soochow University, China
  • Minseok Song, Pohang University of Science and Technology, South Korea
  • Xinlin Tang, Florida State University, USA
  • Peter Trkman, University of Ljubljana, Slovenia
  • Jan vom Brocke, University of Münster, Germany
  • Yen-Yao Wang, Auburn University, USA
  • Sven Weinzierl, FAU Erlangen-Nürnberg, Germany
  • Sandra Zilker, Technische Hochschule Nürnberg, Germany
  • Michael zur Muehlen, Stevens Institute of Technology, USA

Track Title:

Advances in Methods, Theories, and Philosophy

Track Chairs

Yulin Fang
University of Hong Kong
ylfang@hku.hk

Yulin Fang is a Professor of Innovation and Information Management and Director of the Institute of Digital Economy and Innovation (IDEI) at HKU Business School. His research interests include digital innovation, digital entrepreneurship, digital transformation, platform ecosystems, and e-commerce/social media. He has published in leading IS and management journals, including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, etc. He serves as the Co-Editor in Chief of Information Technology & People and Senior Editor of Information Systems Research, Information Systems Journal, and Journal of Information Technology.

Aron Lindberg
Stevens Institute of Technology
alindber@stevens.edu

Aron Lindberg is Associate Professor of Information Systems at the School of Business, Stevens Institute of Technology. He studies digital innovation, in particular as it is mediated by crowds (e.g., open source, wikis, virtual worlds) and algorithms (e.g., semiconductor chip design, virtual world design). He has published in leading IS journals, such as MIS Quarterly, Information Systems Research, and Journal of the Association for Information Systems.

Raghu Santanam
Arizona State University
raghu.santanam@asu.edu

Raghu Santanam is Professor and McCord Chair of Business in the Information Systems Department at the W. P. Carey School of Business. He is currently directing the Department of Labor-funded digital workforce initiative, AZNext at the university. Professor Santanam’s research has focused on the impacts of technology and technology strategies on businesses, society, and consumers. His research areas of interest include health information technology, digital platforms and the impacts of augmented intelligence on the workforce and future of work. His work has been published in leading peer-reviewed journals, including Management Science, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, and Decision Support Systems. He currently serves on the editorial boards of premier journals and has served as an advisory editor of the Elsevier series on “Handbooks in Information Systems.”

Track Description

The track on advances in methods, theories, and philosophy continues the ICIS tradition by inviting IS scholars to engage with fundamental questions of the nature and purpose of IS research and theorizing; to critically reflect on philosophical underpinnings and methodological developments; and to envisage advances that would inspire future scholarly endeavors. As a fundamentally interdisciplinary field focused on digital technologies, Information Systems is particularly well-suited to both (1) thinking about philosophical, particularly epistemological, issues around digital phenomena from a variety of perspectives, and (2) the novel methods and approaches that are emerging to explore and analyze these phenomena.

This track is a space for exploring the philosophical, theoretical, and methodological questions that are critical for IS research in the digital age. We invite scholars to contribute by submitting papers that propose new ideas and perspectives, offer critical reflections on research practices, explore philosophical and conceptual innovations, and engage with theoretical and methodological advances.

Topics of interest include, but are not limited to:

  • 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.
  • Advancements of computational, qualitative, quantitative, mixed, and design science methods seeking to enable new insights into contemporary digital phenomena.
  • Philosophy of IS: reflections on the philosophical foundations of IS research, and related opportunities and limitations.
  • Emerging debates on ontological, epistemological, axiological, and ethical foundations of IS and other social sciences.
  • Theorizing, theory building, and theory testing in IS research—reflections on philosophical grounding and its methodological implications.
  • Opportunities to bring in theories and methodologies from other fields that may lend themselves well to answering questions of interest to IS researchers.
  • Breaking the mold and innovating around theorizing—new philosophical grounds and methodological innovations for advancing IS research.

Associate Editors

  • Aleksi Aaltonen, Temple University, U.S.
  • Malmi Amadoru, University of Sydney, Australia
  • Mariana Andrade, University of Georgia, U.S.
  • Rui Chen, Iowa State University, U.S.
  • Tianjie Deng, University of Denver, U.S.
  • Yifan Dou, Fudan University, China
  • Thomas Grisold, University of St. Gallen, Switzerland
  • Saeede Iftekhari, Management Science, Tulane University, U.S.
  • Monica Johar, University of North Carolina, Charlotte, U.S.
  • Gun-Woong Lee, Korea University, South Korea
  • Angela Lu, City University of Hong Kong, Hong Kong
  • Shengjun Mao, The University of Hong Kong, Hong Kong
  • Semi Min, University of Minnesota, U.S.
  • Abhay Mishra, Iowa State University, U.S.
  • Pascal Nitiema, Arizona State University, U.S.
  • Daniel Nylen, Umea University, Sweden
  • Bingjie Qian, Harbin Institute of Technology, China
  • Dandan Qiao, National University of Singapore, Singapore
  • Aaron Schecter, Department of Management Information Systems, University of Georgia, U.S.
  • Sagnika Sen, Pennsylvania State University, U.S.
  • Sandeep Seshadrinath, University of New South Wales, Australia
  • Jingyi Sun, Stevens Institute of Technology, U.S.
  • Yongqiang Sun, Wuhan University, China
  • Arvind Tripathi, Kansas University, U.S.
  • Bei Yan, Stevens Institute of Technology, U.S.
  • Jicheng Zeng, University of Macau, Macau
  • Jingmei Zhou, Renmin University, China

Track Title:

User Behaviors, User Engagement, and Consequences

Track Chairs

Nina (Ni) Huang
University of Miami
nxh558@miami.edu

Nina (Ni) Huang is an Associate Professor at the Miami Herbert Business School, University of Miami, Florida. Dr. Huang’s research program focuses on understanding user experience of business technology and its design implications in various contexts, for example, online matching, online learning, online healthcare, and digital commerce, etc. Dr. Huang’s work has been published in premier journals such as Management Science (MS), MIS Quarterly (MISQ), Information Systems Research (ISR), Production and Operations Management (POM), etc. Nina currently serves as an Associate Editor at MIS Quarterly and the Vice President of INFORMS Information Systems Society.

Keongtae Kim
Chinese University of Hong Kong
keongkim@cuhk.edu.hk

Keongtae Kim is currently an Associate Professor in Department of Decisions, Operations and Technology, The Chinese University of Hong Kong (CUHK) Business School. He earned his PhD in Information Systems from the Robert H. Smith School of Business at the University of Maryland. His main research focuses on crowdfunding, digital innovation/entrepreneurship, FinTech, and Economics of AI/ML. His research has been published in Information Systems Research and MIS Quarterly, among others. He has won several awards including Young Researcher Award of CUHK, AIS Early Career Award, and INFORMS ISS Sandy Slaughter Early Career Award. He has consulted for and collaborated with several companies such as Naver and Wadiz.

Manuel Trenz
University of Goettingen
trenz@uni-goettingen.de

Manuel Trenz is Professor for Interorganizational Information Systems at the University of Goettingen, Germany. He holds a Ph.D. from the Business School of the University of Mannheim, Germany. His research is concerned with the purposeful use of information systems and digital innovations and their influence on individuals, with a particular emphasis on information privacy, omnichannel commerce and digital platforms. His work has been published in Management Information Systems Quarterly, Journal of Management Information Systems, European Journal of Information Systems, and others. He currently serves as Senior Editor for Information Systems Journal and for Internet Research.

Track Description

The expanding infusion of technology into our social and work lives has made the interplay between user behavior and information systems a critical issue. The question of how technologies shape and influence user behaviors, how to encourage user engagement and other types of user behaviors, how user behaviors inform the use and design of technologies and artifacts, and the consequences of user behaviors on individual, collective, organizational, or societal outcomes has attracted considerable research attention. To better design IT artifacts and utilize advanced technology, we need to better understand users, their motivations, their tasks and incentive structures within different contexts, and the interplay among users, tasks, incentives, IT artifacts, and contexts/environments.

This track invites research that brings fresh theoretical, methodological, and practical insights concerning the interplay of technology and user behaviors, user experience, user engagement and the factors that influence it, and their subsequent effects and consequences (both beneficial and adverse) at the individual, group, organizational, and societal levels as well as the intersection across levels. Research that examines less-explored areas is especially encouraged. We welcome papers that employ a variety of theories, perspectives, and methodologies (whether qualitative, quantitative, technical, theoretical, design science or simulation-based, conducted in the field or the lab).

Topics of interest include, but are not limited to:

  • Influence of individual, group, organizational, and social factors on the use of IS and on user behaviors
  • Interplay between individual user behaviors and technology in various contexts
  • Impact of IS artifact design on user engagement for individuals, groups, organizations, and society
  • Cross-cultural effects of user behaviors
  • Patterns of human interactions with technologies
  • Consequences of IS use, user behaviors, and user engagement
  • Role of engagement in the consumerization of information technologies
  • User engagement techniques/incentives/strategies in online communities/marketplaces/websites/platforms
  • Gamification and its influence on user behaviors, user engagement, and outcomes
  • Creation of engaging information system designs
  • Impact of digital engagement on individual welfare
  • Dark side of technology and digital engagement on user behaviors and outcomes
  • Post-adoptive usage behaviors and their consequences
  • Incentives encouraging use behaviors
  • Effects of engagement on user behaviors
  • Analysis of user behavior and its impact on the design of IT artifact
  • Development of Artificial Intelligence (AI) technology and its impact on individuals, organizations, and society

Associate Editors

  • Martin Adam, University of Goettingen, Germany
  • Pierre-Emmanuel Arduin, Dauphine University, France
  • Youngsok Bang, Yonsei University, South Korea
  • Benedikt Berger, University of Münster, Germany
  • Zike Cao, Zhejiang University, China
  • Younghoon Chang, University of Nottingham Ningbo, China
  • Daeeun Daniel Choi, California State University, Northridge, USA
  • Yipu Deng, Hong Kong University, Hong Kong
  • Qianzhou Du, University of Science and Technology of China, China
  • Sepideh Ebrahimi, University of Waterloo, Canada
  • Jie Mein Goh, Simon Fraser University, Canada
  • Jin Soo Han, KAIST, South Korea
  • Qinglai He, University of Wisconsin–Madison, USA
  • Yumei He, Tulane University, USA
  • Liqiang Huang, Zhejiang University, China
  • Tabitha James, Virginia Tech, USA
  • Qiqi Jiang, Copenhagen Business School, Denmark
  • Jenny Jin, Chinese University of Hong Kong, Hong Kong
  • JaeHwuen Jung, Temple University, USA
  • Ekaterina Jussupow, TU Darmstadt, Germany
  • Weiling Ke, Southern University of Science and Technology, China
  • Tat Koon Koh, Hong Kong University of Science and Technology, Hong Kong
  • Justin Yi-Cheng Ku, Fu Jen Catholic University, Taiwan
  • Dongwon Lee, Hong Kong University of Science and Technology, Hong Kong
  • Christiane Lehrer, Copenhagen Business School, Denmark
  • Na Liu, University of Sydney, Australia
  • Ben Liu, City University of Hong Kong, Hong Kong
  • Chewei Liu, Indiana University Bloomington, USA
  • Christian Matt, University of Bern, Switzerland
  • Kristijan Mirkovski, Deakin University, Australia
  • Gregory Moody, University of Nevada, Las Vegas, USA
  • Maya Mudambi, University of Massachusetts Amherst, USA
  • KC Boris Ng, Hong Kong Baptist University, Hong Kong
  • Srikanth Parameswaran, Binghamton University-SUNY, USA
  • Youngjin Park, City University of Hong Kong, Hong Kong
  • Chih Hung Peng, National Taiwan University, Taiwan
  • Nargis Pervin, Indian Institute of Technology Madras, India
  • Mariia Petryk, George Mason University, USA
  • Jella Pfeiffer, University of Stuttgart, Germany
  • Jingchuan Pu, University of Florida, USA
  • Rajiv Saha, Indian School of Business, India
  • Qiaoni Shi, Bocconi Univeristy, Italy
  • Lingli Wang, Beijing University of Posts and Telecommunications, China
  • Weiguang Wang, University of Rochester, USA
  • Hongchang Wang, University of Texas at Dallas, USA
  • Lei Wang, Pennsylvania State University, USA
  • Shuting Wang, Baruch College, USA
  • Wen Wang, University of Maryland, USA
  • Mochen Yang, University of Minnesota, USA
  • Mingwen Yang, University of Washington, USA
  • Zhitao Yin, Hong Kong University of Science and Technology, Hong Kong
  • Jun Zhang, Wuhan University, China
  • Xia Zhao, University of Georgia, USA
  • Keran Zhao, Pennsylvania State University, USA
  • Meizi Zhou, Boston University, USA
  • Kai Zhu, Bocconi Univeristy, Italy
  • Ruilin Zhu, Lancaster University, UK

Track Title:

Digital and Mobile Commerce

Track Chairs

Ben Choi
Nanyang Technological University
benchoi@ntu.edu.sg

Ben Choi is an Assistant Professor in the Department of Information Technology and Operations Management at Nanyang Technological University, Singapore. He serves on the Editorial Review Board of Information Systems Research and as associate editor at the Journal of the Association for Information Systems and Internet Research. Ben studies human-computer/robotic interactions, decision-making, and human psychology. His ongoing projects focus on grand challenges, such as sustainability and green practices, problems and opportunities with artificial intelligence, and societal issues with misinformation.

Paul Benjamin Lowry
Virginia Tech
paul.lowry.phd@vt.edu

Prof. Paul Benjamin Lowry, Ph.D. is an Eminent Scholar and the Suzanne Parker Thornhill Chair Professor in Business Information Technology at the Pamplin College of Business at Virginia Tech where he serves as the BIT Ph.D. and Graduate Programs Director. He is a former tenured Full Professor at both City University of Hong Kong and The University of Hong Kong. He received his Ph.D. in Management Information Systems from the University of Arizona and an MBA from the Marriott School of Business. He has published 280+ publications, including 165+ journal articles in the Journal of Management Information Systems (JMIS), Information Systems Research (ISR), MIS Quarterly (MISQ), Journal of the Association for Information Systems (JAIS), Information Systems Journal (ISJ), European Journal of Information Systems (EJIS), Journal of Strategic Information Systems (JSIS), Journal of Information Technology (JIT), Decision Sciences Journal (DSJ), various IEEE Transactions, and others. He is a Department Editor (DE) at Decision Sciences Journal (DSJ). He is on the senior board of editors at the Journal of Management Information Systems (JMIS). He also is a Senior Editor (SE) at Journal of the Association for Information Systems (JAIS) and Information Systems Journal (ISJ), and an Associate Editor (AE) at Information Systems Research (ISR). His research interests include (1) organizational and behavioral security and privacy; (2) online deviance, online harassment, and computer ethics; (3) HCI, social media, and gamification; and (4) business analytics, decision sciences, innovation, and supply chains.

Xiao Xiao
Copenhagen Business School
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 Information Technology, Information Systems Journal, Information and Management, and MISQ Executive. She is on the editorial boards of Information Systems Research, Journal for the Association of Information Systems, European Journal of Information Systems, Information Systems Journal, IT & People, and Journal of IT Case and Application Research. She received the AIS (Association for Information Systems) Early Career Award in 2019 and the Sandra Slaughter Service Award in 2018.

Track Description

Digital and mobile commerce, the dynamic duo of modern business transactions, has revolutionized how we shop, interact, and conduct business. From the advent of basic online transactions to the evolution of mobile apps that function as marketplaces, the landscape of commerce has undergone a profound transformation. Various technological advancements and innovations have significantly influenced this paradigm shift, fundamentally altering how businesses operate and customers engage in transactions. Integrating Artificial Intelligence (AI) into digital and mobile commerce is at the forefront of this transformation. AI’s impact is ubiquitous, enhancing customer experiences, optimizing operations, and reshaping the nature of commerce. Through AI-powered algorithms, businesses can analyze vast amounts of data to gain insights into consumer behavior, preferences, and market trends. This intelligence fuels personalized recommendations and targeted advertisements, significantly amplifying marketing strategies in both the digital and mobile spheres.

Moreover, AI applications extend to deep learning, enabling systems to recognize patterns, understand natural languages, and anticipate consumer needs. This capability enhances chatbots, customer services, and virtual assistants, providing real-time support and guidance to customers throughout their journey in the digital marketplace. The fusion of Augmented Reality (AR) and Virtual Reality (VR) technologies with mobile devices and e-commerce has ushered in immersive shopping experiences. AR applications allow customers to visualize products in their environment before purchasing, thus overcoming the limitations of traditional online shopping. On the other hand, VR creates entire virtual storefronts, offering an unparalleled level of engagement and interaction for consumers.

This track seeks papers that enhance our understanding of the design, implementation, and evaluation of emerging digital 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. We are receptive to submissions from all IS traditions and methodological approaches (e.g., analytical work, experiments, qualitative studies, design science, econometric analyses, and so on).

Topics of interest include, but are not limited to:

  • 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
  • Big data analytics in digital and mobile commerce
  • Digital goods 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, voice-based commerce, and social 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
  • Trust, privacy, and security issues in digital and mobile commerce
  • Web3, cryptocurrencies, NFT and their intersection with e-commerce/m-commerce

Associate Editors

  • Sagit Bar-Gill, Tel Aviv University, Israel
  • Baidyanath Biswas, Trinity College Dublin, Ireland
  • Nick Brown, Indiana University, USA
  • Yi Ding, Warwick Business School, UK
  • Ben Eaton, Copenhagen Business School, Denmark
  • Lior Fink, Ben-Gurion University of the Negev, Israel
  • Yuting Gao, ESCP Business School Madrid, Spain
  • Dominik Gutt, Erasmus University, Netherlands
  • Yael Inbar, Tel Aviv University, Israel
  • Alice Jang, Virginia Tech, USA
  • Zhihong Ke, Clemson University, USA
  • Cam Kormylo, Notre Dame, USA
  • Ajay Kumar, EMLYON, France
  • Lixu Li, Xi’an University of Technology, China
  • Yijing Li, Hong Kong Polytechnic University, Hong Kong
  • Liu Libo, Melbourn University, Australia
  • Fei Albert Liu, Hong Kong Polytechnic University, Hong Kong
  • Yang Liu, Xi’an Jiatong University, China
  • Bailing Liu, Central China Normal University, China
  • Rachida Parks, Quinnipiac University, USA
  • Kamel Rouibah, Kuwait University, Kuwait
  • Willem Standaert, HEC Liège, Belgium
  • Dimitrios Tsekouras, Erasmus University, Netherlands
  • Eduardo (“David”) Villacis-Calderon, University of Texas El Paso, USA
  • Jeremy Wang, Flagler College, USA
  • Dezhi Wu, University of South Carolina, USA
  • Yi Wu, Tianjian University, China
  • Pei Xu, Auburn University, USA
  • Teng Ye, University of Minnesota, USA
  • Jie Yu, University of Nottingham Ningbo, China
  • Xinxue Zhou, Guangxi University, China

Track Title:

Enterprise Systems

Track Chairs

Satish Krishnan
Indian Institute of Management (IIM) Kozhikode
satishk@iimk.ac.in

Satish Krishnan received his Ph.D. in Information Systems from the National University of Singapore. He is the Chair Associate Professor of Information Systems at the Indian Institute of Management (IIM) Kozhikode. His research interests include IT resistance, fake news and disinformation, gender gap, e-government, e-business, virtual social networks, technostress, cyberloafing, and cyberbullying. He has published in leading journals, such as the Journal of Applied Psychology, Organizational Behavior and Human Decision Processes, Information and Management, International Journal of Information Management, Journal of Association for Information Science and Technology, Annals of Tourism Research, International Journal of Hospitality Management, Communications of the Association for Information Systems, Computers in Human Behavior, Information Systems Frontiers, Scandinavian Journal of Information Systems, Technological Forecasting and Social Change, Journal of Retailing and Consumer Services, Human Resource Development Review, Journal of Global Information Technology Management, and e-Service Journal. He is on the editorial boards of various journals such as Internet Research, Technological Forecasting and Social Change, Information Systems Frontiers, International Journal of Information Management, and Computers in Human Behavior. He also serves at conferences such as PACIS and ICIS as Track Chair, Panel and Workshop Chair, Review Coordinator, or Associate Editor. He won the Outstanding Associate Editor Award at ICIS 2017, ICIS 2019, and ICIS 2022, the Best Reviewer Award at PACIS 2022 and ECIS 2023, and the best paper awards at the twentieth AIMS International Conference on Management and International Conference on Management and Information Systems ICMIS-23. Recognizing his substantial contributions to management research, the Association of Indian Management Scholars awarded him the 2022 Outstanding Young Management Researcher Award.

Likoebe Maruping
Georgia State University
lmaruping@gsu.edu

Likoebe M. Maruping is Professor of Computer Information Systems and a member of the Center for Digital Innovation (CDI) in the J. Mack Robinson College of Business at Georgia State University. He teaches an MBA course on digital platform business models. His research is primarily focused on collaboration and innovation in small- and large-scale collectives such as teams, communities, and crowds. His interests in this area pertain to the enabling role of digital collaboration platforms, the mechanisms underlying the collaboration process, and the leadership and governance of collaborative efforts in organizational and open environments. His research on these phenomena has been published in premier information systems, organizational behavior, and psychology journals including MIS Quarterly, Information Systems Research, Academy of Management Journal, Organization Science, Journal of Applied Psychology, and Organizational Behavior and Human Decision Processes. Likoebe currently 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 Information Systems Research “Best Associate Editor” award.

Robert Winter
University of St. Gallen (HSG)
robert.winter@unisg.ch

Robert Winter is a full professor of business & information systems engineering at the University of St. Gallen (HSG) and director of HSG’s Institute of Information Management. He is also founding academic director of HSG’s Executive Master’s of Business Engineering program and was academic director of HSG’s PhD in Management program. After having served as vice editor-in-chief of Business & Information Systems Engineering and as senior editor of the European Journal of Information Systems, he currently serves on several editorial boards including MIS Quarterly Executive. His research interests include design science research methodology and all aspects of enterprise-level IS research, such as enterprise architecture management, design and governance of digital platforms, corporate data management, and design and governance of enterprise transformation. His research has been published in leading information systems conferences and journals, such as MIS Quarterly, European Journal of Information Systems, Journal of the AIS, Journal of Information Technology, and Business & Information Systems Engineering. One of his publications received the AIS Senior Scholars’ Best Paper award for 2017. In 2023, he received the Design Science Lifetime Achievement Award.

Track Description

Enterprise systems (ES) are information systems (IS) that do not focus on certain “local” functionalities and/or concerns, but integrate such functionalities / concerns to support enterprise-level, “global” requirements. The implementation, utilization, and upkeep of ES demands substantial organizational effort and resources. Consequently, ES constitutes the most significant investment that organizations are likely to undertake. Many organizations are presently either enhancing, substituting, or expanding their original ES. Initial versions of ES primarily provided back-office functionalities, integrating various internal business processes. In contrast, contemporary ES has progressed to encompass support for diverse front-office and inter-organizational activities, including customer relationship management, human capital management, and supply chain management. Beyond the boundaries of the firm, enterprise-level IS support novel business models such as business ecosystems or digital-platform based business networks. Further, artificial intelligence (AI) is being embedded and deployed in ES to enable better decision making, greater efficiency and more robust innovation built on the data streams that are generated by, and flow through, such systems. Designing such extensive integrated systems poses not only a considerable technical challenge, but also necessitates novel perspectives on business models, business processes, system development, enterprise architecture, or change / transformation management. Over the last two decades, technological and managerial/organizational innovations have expanded enterprise solutions’ capabilities while challenging traditional design and coordination approaches.

Given the evolving requirements of corporate strategy and the business environment, ES must continuously progress toward enterprise-level IS. Unlike many other IS categories, enterprise-level IS consists of various artifact types due to their integration, alignment requirements, and inherent complexity. The enterprise level implies considering diverse stakeholders and perspectives across business and IT boundaries, corporate functions, and even legal entities. The complexities of enterprise-level IS manifest not only in the number of components and their interdependencies but also in the resulting dynamics and emergence over time. Some significant challenges of corporate IS management such as complexity management, IT/business alignment, or transformation management require an enterprise-level of analysis.

The challenge of integrating technological innovations and adapting business processes within enterprise-level IS persists. Continuous technological enhancements in IS pose challenges in adopting these changes at an enterprise and ecosystem level. Due to their complexity and integrated nature, enterprise-level IS are challenging to implement and are linked to various organizational changes. Organizations anticipate substantial benefits from significant investments in ES, although realization is not always guaranteed.

This track aims to explore contemporary issues, both academic and practitioner-centric, related to the evolution of integrated IS, encompassing themes related to information systems’ internal and external integration and the fostering of innovation of various forms. This includes strategic, operational, social, project, and process management, supply chain considerations, integrating emerging technologies into the core of IS, and platform approaches. Interdisciplinary concerns, particularly in specialized ES areas such as healthcare and supply chain management, emerging delivery models, and enterprise and business architecture, are also within the scope of this exploration.

We welcome submissions of all research types, including conceptual, empirical and design-oriented studies, that address these issues from a technological, organizational, or managerial perspective.

Topics of interest include, but are not limited to:

  • Applications of group and strategic decision support and expert systems
  • Integration and transformation-related aspects of ES
  • Advanced applications of ES (e.g., artificial intelligence, digital platforms)
  • Intelligent agents, including autonomous agents & multi-agent systems
  • Applications of industrial internet and tactile internet
  • Automotive networks and internet-of-vehicles
  • Business innovation with ES
  • Security in industrial networks and cloud-based enterprise infrastructure
  • Cloud-based innovation of business models and manufacturing ecosystems
  • User-centric design of industrial ES
  • Collaboration between human workers and robots
  • Social-industry information exchange
  • Adoption of ES in specific institutional contexts (e.g., healthcare)
  • Evolution and integration of manufacturing execution systems
  • Enterprise architecture management, integration management
  • Business/IT alignment

Associate Editors

  • Mumin Abubakre, Loughborough University, UK
  • Supunmali Ahangama, University of Moratuwa, Sri Lanka
  • Jithesh Arayankalam, Indian Institute of Management Raipur, India
  • Benedict Bender, University of Potsdam, Germany
  • Andreas Drechsler, Victoria University of Wellington, New Zealand
  • Asif Gill, University of Technology Sydney, Australia
  • Sumeet Gupta, Indian Institute of Management Raipur, India
  • Kazem Haki, HES Geneva, Switzerland
  • Najmul Islam, LUT University, Finland
  • Prasanna Karhade, The Chinese University of Hong Kong (CUHK) Business School, Hong Kong
  • Anupriya Khan, Indian Institute of Management Ranchi, India
  • Christian Leyh, THM Business School, Germany
  • Mahei Li, University of Kassel, Germany
  • Peiwei Li, University of Northern Kentucky, USA
  • Sarah Oes­te-Reiß, University of Kassel, Germany
  • Divinus Oppong-Tawiah, York University, Canada
  • Vidushi Pandey, Indian Institute of Management Kozhikode, India
  • Yasser Rahrovani, Western University, Canada
  • Abdul Sesay, University of Georgia, USA
  • Franck Soh, University of North Carolina – Greensboro, USA
  • Yulia Sullivan, Baylor University, USA
  • Rui Sundrup, University of Louisville, USA
  • Alta van der Merwe, University of Pretoria, South Africa
  • Yukun Yang, Southern University of Science and Technology, China
  • Stefano Za, University of Pescara, Italy
  • Justin Zhang, University of North Florida, USA

Track Title:

Practitioner-Oriented Research

Track Chairs

James S. Denford
Royal Military College of Canada
jim.denford@rmc.ca

James (Jim) Denford is a Professor in the Management Department at the Royal Military College of Canada (RMC). He holds a PhD in Management Information Systems from Queen’s University and an MBA and Bachelor of Engineering Management from RMC. Before making the transition to academics, he spent 24 years as an Army Officer in the Royal Canadian Corps of Signals in diverse roles including tactical communications and information systems deployment, IT project management, network management and operations, and IT training. He also led two defence research labs, first as Director of the Army Experimentation Centre and then as the Director of the Electro-Magnetic Battlespace Lab.

Jim is a Past President in the Association of Information Systems of both the Special Interest Group on IS Leadership and the College of Academic Leadership. He is the former Dean of Social Sciences and Humanities, Interim Dean of Continuing Studies, Head of the Department of Management and Director of Research Administration at RMC. His research is focused on IS and knowledge strategies and strategizers, technology innovation and IT governance. His research has appeared in various leading knowledge management and information systems journals, books, and practitioner outlets, the latter including the Brookings Institution and the IBM Center for the Business of Government.

Isabel Ramos
University of Minho
iramos@dsi.uminho.pt

Isabel Ramos is Associate Professor (PhD, Habilitation) at the Department of Information Systems of the University of Minho in Portugal. She holds a PhD in Information Systems and Technology, specialization in Information Systems Engineering and Management, since 2001. Isabel is the Chair of the Department of Information Systems. Isabel Ramos is past President of the Portuguese Chapter of the Association for Information Systems since 2022 and President of the Portuguese Association for Information Systems. Isabel was Chair of the Technical Committee 8 (Information Systems) of IFIP – International Federation for Information Systems (2019-2023).

Isabel is Associate Editor at the Communications of the Association for Information Systems (AIS) and has been Chair, Program Chair and Associate Editor for several editions of the European Conference on Information Systems (ECIS) and the International Conference on Information Systems (ICIS) of the AIS.
Isabel has coordinated and continues to coordinate the participation of teams of researchers at the University of Minho in various research and development projects funded by the European Commission. She advises several PhD and Master dissertations in the areas of Knowledge and Innovation Management and IST for Organizational Resilience.

Barney Tan
UNSW Business School
barney.tan@unsw.edu.au

Barney Tan is the Head of School and a Professor at the School of Information Systems and Technology Management (SISTM) of UNSW Business School. His research interests include strategic information systems, digital platforms and ecosystems, IT and sustainable development, IT management in the Asia-Pacific, and qualitative research. Barney’s research has been published in MIS Quarterly, Information Systems Research, Journal of Association of Information Systems, and Information Systems Journal. He is also currently a Senior Editor at Information Systems Journal and Information Technology and People, as well as an Associate Editor at Information and Management and Internet Research.

Track Description

Delivering research that is relevant to practice should be one of the key missions of academics, showcasing the importance of universities’ impact and researchers’ ability to influence management. This track contributes to this mission by welcoming submissions of practice-oriented IS research on topics that are highly relevant and useful to current IS executives and future IS leaders.

Practice-oriented research bridges academic theory and practice, introduces researchers to state-of-the-art techniques and topics from industry, presents managers with useful research, and brings coherence to the problems both face. Contributions from practice-oriented research should focus on essential and unique lessons and implementable and evidence-based recommendations.

This track invites authors, academics and practitioners to submit credible research that provides rich stories, unique insights, and useful conceptual frameworks for information systems practice. The target audience for papers includes both practitioners and researchers, with a primary focus on research that is immediately relevant and useful for practice. Researchers can base their papers on single or multiple cases, field interviews, field experiments, action research, and/or descriptive surveys coupled with in-depth cases.

The papers submitted to this track must focus on pressing problems or opportunities directly relevant to practitioners in the IS field. Authors must demonstrate the research’s potential to make a positive impact on real-world practice, discussing how results can be applied by digital leaders to solve the problem or take advantage of the opportunity. The last section of the paper must be at least one page in length with a list of concrete, actionable recommendations for practice, grounded in the findings. This section should explain why the authors’ recommendations will be compelling for current and future digital leaders.

The Editor-in-Chief of MISQ Executive (MISQE) may offer selected accepted papers in this track an opportunity to go through a fast-track review, development, and publication process at MISQE.

Topics of interest include, but are not limited to:

  • Showcase high-quality practitioner-oriented IS research and thought leadership
  • Promote practitioner-oriented IS research as a critical source of insight and guidance for digital leaders
  • Provide researchers a platform to present and discuss their practitioner-oriented IS research findings and expose the community to current challenges in creating value with IT
  • Help identify the most challenging managerial issues for digital/IT leaders and frame them as new questions that could guide future practitioner-oriented IS research
  • Explore innovative ideas and perspectives, firmly rooted in empirical evidence gathered through robust data collection methods and meticulous analysis, compelling practitioners to reconsider current methodologies and practices.

Associate Editors

  • Jang Bahadur Singh, Indian Institute of Management Tiruchirappalli, India
  • Wendy Currie, Audencia Nantes, France
  • Lakshmi Goel, Al Akhawayn University, Morocco
  • Thomas Hess, University of Munich, Germany
  • Blake Ives, College of Charleston, USA
  • Jerry Kane, University of Georgia, United States
  • Abhishek Kathuria, Indian School of Business (ISB), India
  • Hope Koch, Baylor University, USA
  • Mary Lacity, University of Arkansas, USA
  • Munir Mandviwalla, Temple University, USA
  • John Mooney, Pepperdine University, USA
  • Biagio Palese, Northern Illinois University, USA
  • Joe Peppard, University College Dublin, Ireland
  • Jeff Proudfoot, Bentley University, USA
  • Joaquin Rodriguez, Grenoble Ecole de Management, France
  • Helana Scheepers, Swinburne University of Technology, Australia
  • Thompson Teo, National University of Singapore, Singapore
  • Benjamin van Giffen, University of St. Gallen, Switzerland
  • Christian Wagner, City University of Hong Kong, China

Track Title:

Literature Review

Track Chairs

Guy Pare
HEC Montreal
guy.pare@hec.ca

Guy Pare is a Professor of Information Technology Management and the Endowed Research Chair in Digital Health at HEC Montreal, Canada. He has made health IT his main area of expertise over the past 30 years. The quality of his scientific output has made him one of the most renowned researchers in Canada and one of the most influential internationally in the field of digital health. His numerous publications have caught the attention of several organizations over the years, including the World Health Organization, the Haute Autorite de Sante in France, Canada Health Infoway, and the Quebec Federation of Family Physicians. Guy Pare has developed expertise in various research methodologies. His seminal MISQ 2023 paper, which enhanced the status and quality of case study research, is a key reference for case study researchers and is included on reading lists of hundreds of doctoral seminars around the globe. Prof. Pare has also published influential commentaries and methodological papers to help scholars who seek to frame and write literature reviews.

Guido Schryen
Paderborn University
guido.schryen@uni-paderborn.de

Guido Schryen is a Professor of Management Information Systems and Operations Research at Paderborn University, Germany. His research interests are in methodological and epistemological issues of literature reviews and in quantitative methods and systems for decision support in business environments. He has published numerous articles in peer-reviewed conferences and journals of various disciplines, including information systems research, operations research, and computer science. His work has been published in European Journal of Operational Research, OR Spectrum, European Journal of Information Systems, Information & Management, Decision Support Systems, Business and Information Systems Engineering, Communications of the AIS, Communication of the ACM, and others. He has been an invited research fellow at Stanford University, International Computer Science Institute (Berkeley), HEC Montreal, Queensland University of Technology, University of New South Wales, and Macquarie University.

Mary Tate
Victoria University
mary.tate@vuw.ac.nz

Mary Tate is Associate Professor of Information Systems at Victoria University of Wellington, visiting Professor at Högskolan i Borås in Sweden, and co-Editor-in-Chief of the Communications of the AIS journal. Her research has focused in two main areas – digital services management and transformation, and information systems foundations, philosophy, theory and research methods. Mary has published over 100 peer-reviewed articles in leading information systems journals and conferences, including highly cited literature analysis papers and methodological guidelines. Mary has a strong interest in doctoral education and has coached doctoral students in how to conduct literature analysis in many forums and doctoral consortia internationally.

Track Description

This new track is dedicated to offering a platform for research that focuses on an introspective view of Information Systems (IS) research, encapsulated in the theme: “Learning from the Past to Prepare for the Future.”

The Literature Review Track is designed to spotlight research that employs all forms of literature reviews as its primary methodologies. Recognizing the immense value in synthesizing and analyzing existing research, this track aims to provide insights that are foundational for future explorations and innovations in IS. It offers researchers an opportunity to delve into the vast expanse of IS research, drawing connections, identifying trends, and critically examining the trajectory of the field.

The Literature Review Track invites full research papers (12 pages, excluding references). While other tracks focus on presenting new empirical findings, theoretical insights, and practical applications, the Literature Review Track is dedicated to understanding and learning from the body of work that IS researchers have accumulated over the years. We invite researchers and scholars who are engaging in all forms of literature reviews to submit their work to this new and exciting track. It is an opportunity to contribute to the collective understanding of the IS field, shaping the future by carefully examining and learning from the past. Note that standalone review papers need to make an independent scholarly contribution in their own right, papers that simply “front-end” another study are unlikely to be accepted.

We also welcome contributions that are aimed at providing methodological advice on how to conduct standalone reviews. These contributions may refer to various aspects such as how to involve practitioners in the literature review process, how to use bibliometric, artificial intelligence (AI) and generative AI tools to support the literature review process, and how to theorize through literature reviews. Further, we welcome epistemological work on literature reviews to explore opportunities for knowledge creation.

Topics of interest include, but are not limited to:

  • Narrative reviews
  • Scoping reviews
  • Meta-narrative reviews
  • Theoretical reviews
  • Meta-analyses
  • Meta-ethnography reviews
  • Meta-syntheses or qualitative meta-analyses
  • Critical reviews
  • Realist reviews
  • Conceptual reviews
  • Problematizing reviews
  • Epistemology of literature reviews
  • Knowledge synthesis methods
  • Use of bibliometric techniques and tools
  • Interdisciplinary and transdisciplinary reviews
  • Innovative methods of conducting literature reviews
  • Theories of information behavior as applied to academic literature analysis
  • Artificial intelligence and literature reviews

Associate Editors

  • Ransom Bawack, Audencia Business School, France
  • Denehey Denis, Swansea University, England
  • Gurpreet Dhillon, University of North Texas, United States
  • Barbara Dinter, Technische Universität Chemnitz, Germany
  • Luisa Errichiello, Italian National Research Council, Italy
  • Jordana George, Texas A&M University, United States
  • Anne Goulding, Victoria University of Wellington, New Zealand
  • Diana Hristova, Berlin School of Economics and Law, Germany
  • Nima Kordzadeh, Worcester Polytechnic Institute, United States
  • Julia Kotlarsky, The University of Auckland Business School, New Zealand
  • Dennis Kundisch, Paderborn University, Germany
  • Eleanor Loiacono, William & Mary University, United States
  • Stanislav Mamonov, Montclair State University, United States
  • Mauricio Marrone, Macquarie University, Australia
  • Mäntymäki Matti, Turku School of Economics, Finland
  • Leyer Michael, Philipps-University of Marburg, Germany
  • Mohammad Moeini, Warwick Business School, England
  • Bogdan Negoita, HEC Montreal, Canada
  • Fred Niederman, Saint Louis University, United States
  • Chitu Okoli, SKEMA Business School, France
  • Julian Prester, University of Sydney, Australia
  • Suzanne Rivard, HEC Montreal
  • Susanne Robra-Bissantz, Technische Universität Braunschweig , Germany
  • Ulrike Schultze, University of Groningen, Nederlands
  • Mathieu Templier, Laval University, Canada
  • Gerit Wagner, University of Bamberg, Germany
  • Blair Wang, University of Galway, Ireland
  • Sander Zwanenburg, University of Otago, New Zealand

PANELS, PROFESSIONAL DEVELOPMENT WORKSHOPS & PAPER-A-THON

Track Title: Panels

Track Chairs

Carol Hsu
Sydney University Business School
carol.hsu@sydney.edu.au

Bio: Carol Hsu is a Professor at the University of Sydney Business School. Her research interests focus on information security management, information technology adoption and digital transformation. Her work has been published in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Information Systems Journal, and other outlets. She has received the Sandra Slaughter Service Award from the Association of Information Systems. She currently serves as Senior Editor at the Journal of Strategic Information Systems and Information Systems Journal, and on the editorial board of the Journal of the Association for Information Systems, and the IEEE Transactions on Engineering Management.

Oliver Krancher
IT University of Copenhagen
olik@itu.dk

Bio: Oliver Krancher is an Associate Professor at the IT University of Copenhagen. His research interests revolve around IS sourcing, project management, and automation. His work has been published in the Journal of Management Information Systems, the Journal of the Association for Information Systems, the European Journal of Information Systems, Empirical Software Engineering, and Information & Software Technology, and other outlets. He is an Associate Editor at the Journal of the Association for Information Systems and has regularly served as a Track Chair at conferences such as the European Conference on Information Systems.

Janjao Mongkolnavin
Chulalongkorn University
janjao@cbs.chula.ac.th

Bio: Janjao Mongkolnavin is an Associate Professor at Chulalongkorn Business School, Chulalongkorn University, with research interests primarily focused on Machine learning, People-aware computing, and their applications. Her work may involve developing algorithms, models, and systems that leverage machine learning techniques to create intelligent systems capable of understanding and interacting with people in various contexts, such as business, healthcare, and education.

Track Description

Panels are a key community vehicle at global conferences. They afford the opportunity to discuss timely topics that are highly relevant to IS research and practice, important to the research community or society at large, and/or provocative or controversial in nature. A good panel achieves two aims: it solicits the views of those with expertise and experience on the subject matter. At the same time, it also engages the audience in a discussion that stimulates interaction and significantly advances attendees’ understanding of a contested topic. Panel topics are varied, but generally pertain to contemporary issues of broad appeal to the IS community, which demand focused research attention to address new research challenges, or change the status quo of the discipline. Panels should be related to the conference theme, and where appropriate, may involve senior practitioners or other key stakeholders outside of the research community but relevant to the topic at hand. We encourage proposals that are innovative and inspirational, leaving the audience with more questions and issues to debate and consider after the panel is over.

Required Elements of Panel Proposals

A panel proposal should include the following seven sections:

  1. Introduction: Brief description of the panel and its rationale/motivation.
  2. Issues: Issues or dilemmas that will be discussed.
  3. Panelists: Names and positions of those who will take varied viewpoints. For debates, identification of proponents and opponents is necessary.
  4. Panel Structure: Description of timing of the session and the format of interaction among participants and with the audience.
  5. Participation Statement: A statement that all participants have made a commitment to attend the conference and serve on the panel if the panel is accepted.
  6. Biographies: A brief description of each participant’s background, including expertise related to the topic and views of the issues.
  7. References: As appropriate.

 

Review Criteria

  • Panel Topic: Topic is timely, interesting, relevant, novel, of broad IS related disciplinary appeal, and intellectually stimulating.
  • Panel Focus: The panel is organized around a set of coherent and well-articulated issues and topics that can be approached from and/or lead to divergent views.
  • Panel Format: The format can be innovative as long as the panel focuses on discussion, as opposed to the presentation of research results, and involves the audience; the interaction mode can involve the innovative use of technology.
  • Panelists: Where appropriate, panelists should involve thought leaders on the panel topic and/or related areas. Panel composition must represent a diversity of opinions, approaches, backgrounds, sex/gender and geographic regions, to attract the interests of a broad spectrum of ICIS participants. Panelists may include practitioners as well as scholars.
  • Implications: The outcome of the panel must have implications for the IS discipline, IS practice, IS-informed public or corporate policy, or the conduct of IS research.
  • Panel Interest:The panel must seem likely to draw a wide audience.

Track Title: Professional Development Workshops

Track Chairs

Carol Hsu
Sydney University Business School
carol.hsu@sydney.edu.au

Bio: Carol Hsu is a Professor at the University of Sydney Business School. Her research interests focus on information security management, information technology adoption and digital transformation. Her work has been published in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Information Systems Journal, and other outlets. She has received the Sandra Slaughter Service Award from the Association of Information Systems. She currently serves as Senior Editor at the Journal of Strategic Information Systems and Information Systems Journal, and on the editorial board of the Journal of the Association for Information Systems, and the IEEE Transactions on Engineering Management.

Oliver Krancher
IT University of Copenhagen
olik@itu.dk

Bio: Oliver Krancher is an Associate Professor at the IT University of Copenhagen. His research interests revolve around IS sourcing, project management, and automation. His work has been published in the Journal of Management Information Systems, the Journal of the Association for Information Systems, the European Journal of Information Systems, Empirical Software Engineering, and Information & Software Technology, and other outlets. He is an Associate Editor at the Journal of the Association for Information Systems and has regularly served as a Track Chair at conferences such as the European Conference on Information Systems.

Janjao Mongkolnavin
Chulalongkorn University
janjao@cbs.chula.ac.th

Bio: Janjao Mongkolnavin is an Associate Professor at Chulalongkorn Business School, Chulalongkorn University, with research interests primarily focused on Machine learning, People-aware computing, and their applications. Her work may involve developing algorithms, models, and systems that leverage machine learning techniques to create intelligent systems capable of understanding and interacting with people in various contexts, such as business, healthcare, and education.

Track Description

The Professional Development Workshops (PDW) Track will facilitate one or two 90-minute sessions that actively engage ICIS participants to develop, update, and enhance their professional skills in teaching and research. We welcome PDW proposals that offer an expert-led, active learning of a topic, theory, or method related to conducting information systems (IS) research or teaching.

research PDW might convey an IS topic, theory, or method relevant to a wide variety of IS research traditions – behavioral, organizational, economics, design, and data science.

teaching PDW might illustrate an innovative approach of teaching some IS topic and/or using a technology-enabled technique to be used in classes for IS education in a hands-on manner.

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. Take away (must be different from the above)
  7. Session timing including the format of interaction among presenters and audience
  8. Audience hardware / software requirements – onsite / virtual
  9. Maximum number of participants – onsite / virtual
  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 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-ways 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 2024 submission template.

Please check back soon.