Track Descriptions

Track Title: Digitization for the Next Generation

Track Chairs:

Wai Fong Boh

Nanyang Technological University

Hanna Krasnova

Weizenbaum Institude for the Networked Society, Berlin, and University of Potsdam, Germany

Jacqueline Corbett

Université Laval

Track Description

The business environment of tomorrow will not be the business environment of today. The next generation of employees and business leaders will be digital natives, people who have grown up with the Internet, smartphones and social media, having no direct experience or recollection of how society and organizations traditionally operated (before the internet). As a result, questions of how to transition to the digital age are likely to become less prominent, to be replaced with challenges of how to move to the next generation of digital business to enhance competitive advantages and achieve social good.

In the future, organizations will be expected to operate in a more agile manner, not just increasing their internal efficiencies, but also delivering great customer experiences and societal value. As the pandemic has created a major external shock underscoring the need for resilience and adaptation at all levels – individual, organizational, and societal – there is reason to expect that digitization will play an even greater role. When agility meets technology, there is also the potential to create ‘bionic’ organizations in which humans and machines work together. Against the background of these developments, there is growing pressure on the IS field not only to keep abreast of the latest technological advances, but, more importantly, to anticipate and examine the questions, values, and tensions that may arise in the course of the development, implementation, and use of such new technologies.

The aim of this track is to provide a forum for innovative and forward-thinking research that explores the role of digital technologies and digitization in the coming years. This track welcomes high‐quality conceptual and empirical papers on a wide range of topics related to digitization and the relationship between digital technologies, people, organizations, societies and the planet.

Topics of interest include, but are not limited to:

  • Next-generation digital products and services
  • Tensions associated with the development, implementation and use of new digital technologies (e.g., privacy, hate speech, technostress, well-being)
  • Understanding digital natives and their relationships with technology
  • New digital solutions for societal challenges
  • New digital solutions in support of the Sustainable Development Goals (SDGs)
  • Next-generation digital approaches for achieving environmental sustainability
  • New competencies needed in the digital future
  • Social impacts of next-generation digitization
  • The emergence of bionic organizations
  • Ethical considerations related to digitization at home, work, and society
  • Digital business models for the better world
  • Evolution and features of digital platforms
  • Digitization in government and non-business organizations
  • Climate change as an impetus for digital change and adaptation of individuals, organizations, and societies
  • The role of digitization in supporting individual, organizational, and societal change

Associate Editors:

  • Nila Zhang, Fudan University
  • Mariana Andrade, University of Georgia
  • Qingqing Bi, University of Canterbury
  • Antonia Köster, Weizenbaum Institude for the Networked Society | University of Potsdam
  • Gergana Vladova, Weizenbaum Institude for the Networked Society | University of Potsdam
  • Olga Abramova, University of Potsdam
  • Amina Wagner, Technical University of Darmstadt
  • Annika Baumann, Weizenbaum Institude for the Networked Society | University of Potsdam
  • Tatiana Ermakova, Weizenbaum Institude for the Networked Society | Fraunhofer FOKUS
  • Benedict Bender, University of Potsdam
  • Ofir Turel, University of Melbourne
  • Dana Naous, University of Lausanne
  • Fatemeh Saadatmand, IT University of Copenhagen
  • Yi-Te Chiu, Victoria University of Wellington
  • Ignitia Motjolopane, North-West University
  • Kenan Degirmenci, QUT
  • Cindy Riemenschneider, Baylor University
  • Sanna Tiilikainen, Aalto University

Track Title: General IS Topics

Track Chairs:

Idris Adjerid

Virginia Tech

Joe Nandhakumar

University of Warwick

Marta Indulska

The University of Queensland

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:

  • Alan Abrahams, Virginia Tech
  • Saeed Akhlaghpour, The University of Queensland
  • Abhijith Anand, University of Arkansas
  • Mehmet Ayvaci, UT Dallas
  • Wasana Bandara, Queensland University of Technology
  • Quang “Neo”  Bui, Rochester Institute of Technology
  • Ali Dag, Creighton University
  • Herbert Endres, Universität Paderborn
  • Dirk Hovorka, University of Sydney
  • Jochem Hummel, University of Warwick
  • Axel Korthaus, Swinburne University
  • Na Liu, University of Sydney
  • Massimo Magni, Bocconi University
  • Niina Mallat, Aalto University
  • Tingting Nian, University of California Irvine
  • Al Robb, The University of Queensland
  • Martin Semmann, University of Hamburg
  • Kalina Staykova, University of Warwick
  • Mary Tate, Victoria University of Wellington
  • Gongtai Wang, The University of Queensland
  • Melody Zou, University of Warwick
  • Michael zur Muehlen, Stevens Institute of Technology
  • Jie (Joseph) Yu, University of Nottingham Ningbo China
  • Raymond Y.K. Lau,  City University of Hong Kong

Track Title: Digital Learning and IS Curricula

Track Chairs

Jeffrey Proudfoot

Bentley University, USA

Matthias Söllner

University of Kassel, Germany

Bernard Tan

National University of Singapore

Track Description

Emerging technologies and trends open up new pedagogical possibilities and enable innovative uses of digital learning environments and educational 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 offer the opportunity to not only change what we teach (curriculum), but how we teach (pedagogy). Further, the COVID-19 pandemic has resulted in unprecedented changes to learning environments and accelerated the spread of digital learning. Many institutions have expanded their educational portfolios to include new online offerings, and are in the process of deciding how to move forward in a post-pandemic reality, with traditional, online, and hybrid learning scenarios being viable options in different learning contexts. The Digital Learning and IS Curricula track provides an opportunity to exchange conceptual ideas and empirical findings regarding curriculum, pedagogy, learning environments, pedagogical innovations via the use of technologies to improve learning in educational institutions and beyond.


Topic of interest include, but are not limited to

  • Current and future impact of COVID-19 on education (e.g., teaching and learning processes)
  • 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 support learning
  • Individualization of 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 stakeholder (e.g., executive education)
  • Accreditation and certification

Associate Editors:

  • Mousa Al-Bashrawi, King Fahd University of Petroleum and Minerals
  • Alec Cram, University of Waterloo
  • Thomas Grisold, University of Liechtenstein
  • Sumeet Gupta, Indian Institute of Management-Raipur
  • Andreas Janson, Institute of Information Management
  • Julie Kendall, Rutgers University-Camden
  • Elizabeth Koh, National Institute of Education
  • Carmen Leong, University of New south Wales
  • Anoush Margaryan, Copenhagen Business School
  • Mareike Möhlmann, Bentley University
  • Roman Rietsche, Institute of Information Management
  • Rhonda Syler, University of Arkansas
  • Sharon Tan, National University of Singapore
  • Craig Van Slyke, Louisiana Tech University
  • Xinwei Wang, University of Auckland
  • Haifeng Xu, Shanghai Jiaotong University
  • Thiemo Wambsganss, EPF Lausanne, Switzerland
  • Anne Ixmeier, LMU Munich

Track Title: IS and the Future of Work

Track Chairs

Carol Hsu

The University of Sydney Business School

Ning Nan

The University of British Columbia

Mari-Klara Stein

Copenhagen Business School, Denmark

Track Description

Technological developments continue to reshape how work is designed, performed, and managed at individual, organizational, and societal levels. Traditional employment arrangements are increasingly becoming contingent, flexible, and distributed. The accelerated digitalization of information and the pandemic are pushing many organizations away from the established archetype of 9-5 office work towards more contemporary approaches to work. Exemplars of contemporary approaches to work include permanent remote work, 4-day workweek, globally distributed project work, as well as freelancing on demand, brokered through dedicated platforms such as Catalant, TopCoder, Mechanical Turk, Uber, and TaskRabbit.

The automation and augmentation of work with artificial intelligence, virtual reality, and blockchain are transforming not just organizations and industries, but potentially entire labor markets, with humans being replaced by, or working together with, ever smarter algorithms and robots. There is a concern among workers that whole classes of job roles and occupations are at risk of extinction, while demand for other job roles in other occupations grow at an increasing rate. Workers in these jobs will need to adapt their skill portfolios and careers to remain employable, which might lead to technostress and affect their wellbeing. At the same time, the meaning of work and employment are shifting as the new generation of digital natives reconfigure the future of work.

We welcome submissions that take a broad and inclusive perspective addressing the future of work. We seek submissions on a variety of 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 the following in relation to the future of work:

  • Automation and augmentation of work
  • Post-pandemic work arrangements
  • Design theories for future work environments
  • People analytics and algorithmic management
  • Emerging and shifting portfolio of skills and professional development
  • Managing professional obsolescence
  • Meaning of work in digital workplaces
  • Management of work and workers in a digitized work environment
  • New forms of technology-enabled work arrangements
  • Emerging new careers and patterns of careers
  • Digitalization and job mobility
  • Digitalization and the future of occupations
  • New practices and forms of leadership in digital workplaces
  • AI and the fourth industrial revolution
  • Structural mechanisms, policy, and regulation to legitimize digital work
  • Technostress in digital workplace and remote working
  • Self-organized work in blockchain or decentralized autonomous organizations

Associate Editors:

  • Alain Chong, University of Nottingham Ningbo China
  • Abayomi Baiyere, Copenhagen Business School
  • Damien Joseph, Nanyang Business School | NTU Singapore
  • Chih-Hung Peng, National Cheng-Chi University
  • Ella Hafermalz, VU Amsterdam
  • Emre Yetgin, Rider University
  • Gee-Woo Bock, Sungkyunkwan University
  • Harminder Singh , Auckland University of Technology
  • Henry Kim, York University
  • Ingrid Erickson, Syracuse University
  • Ivo Blohm, University of St.Gallen
  • Joao Baptista , Lancaster University
  • Jyoti Choudrie, University of Hertfordshire
  • Jennifer Jewer, Memorial University of Newfoundland
  • Prasanna Karhade, University of Hawaii at Manoa
  • Louise Harder Fischer, IT University of Copenhagen
  • M N Ravishankar , Loughborough University
  • Moksh Matta, Nanyang Technological University
  • Maria Torres, University of Melbourn
  • Tina Wang, Eastern Illinois University
  • Sabrina Schneider , MCI Management Center Innsbruck
  • Shawn Ogunseye, Bentley University
  • Stefan Tams, HEC Montreal
  • Tingru Cui, University of Melbourne
  • Aleksi Aaltonen, Temple University
  • Shan Wang, University of Saskatchewan
  • Yanran Liu, University of Arkansas
  • Yu-Chen Yang, National Sun Yat-Sen University
  • Zhen Zhu, China University of Geosciences (Wuhan)
  • Daniel Schlagwein, University of Sydney

Track Title: Societal Impact of Information Systems

Track Chairs

Hala Annabi

University of Washington

Robin Teigland

Chalmers University of Technology

Shuk Ying (Susanna) Ho

The Australian National University

Track Description

Digitalization holds much promise to enhance organizational performance, reduce social barriers, enable environmental sustainability, and increase accessibility to information, networks, commerce and services. However, the pervasiveness and emphasis on digitalization, if not approached with social consciousness, 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 across the globe. Furthermore, decision-making systems that leverage aspects of machine learning and artificial intelligence (AI) continue to introduce 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 and quantitative) 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 the following:

  • Theoretical perspectives and/or empirical insights on the (un)intended 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 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, 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
  • Dark side of technology including addiction, victimization, surveillance, etc.
  • Philosophical perspectives on IS implications for society
  • Ethical and socially responsible research and innovation in IS

Associate Editors:

  • Muller Cheung, HKUST
  • Cheng Yi, Tsinghua University
  • Anushi Inthiran, University of Canterbury
  • Dennis Fehrenbacher, Monash University
  • Kevin Kuan, University of Sydney
  • Libo Liu, University of Melbourne
  • Zixiu Guo, University of New South Wales
  • Ching-I Teng, Chang Gung University
  • Sam Zaza, Middle Tennessee State University
  • Felix Tan, University of New South Wales
  • Rasha  Alahmad, University of Michigan
  • Isabelle Fagnot, KEDGE Business School
  • Amy Connolly, James Madison University
  • Simon Poon, University of Sydney
  • Tabitha James , Virginia Tech
  • Jian Mou, Pusan ​​National University
  • Victor  Chen , National Cheng Kung University
  • Sarah Lebovitz, The University of Virginia
  • Wael Jabr, Pennsylvania State University
  • Barney Tan, University of Sydney
  • Xin Li, City University of Hong Kong
  • Asli Basoglu, University of Delaware
  • Victor Benjamin, Arizona State University
  • Xi Chen, Zhejiang University

Jingguo Wang
The University of Texas at Arlington

Wei Thoo Yue
City University of Hong Kong

Mikko Siponen
University of Jyväskylä

Information security is an arm-race between attackers and defenders. The attacks evolve with the development of technologies, such as cloud computing, artificial intelligence  (AI), and payment methods. The ransomware attack is such an example, imposing disruptive risks to businesses and society. The defenders, in response, must secure their systems, which put them at the forefront of dealing with many emerging issues presented by the new technologies. These new emerging issues include responding to the changing regulatory landscape, advancing organizational best practices, and understanding the behavioral and ethical challenges.

Furthermore, many of the classical information security and privacy problems remain unsolved; effort and investment have not kept up with the information security risks. For example, millions of working passwords can still be found on the web, and organizations continue to use outdated security solutions that the recipes of breaking them are widely available.  The COVID-19 pandemic intensifies cybercriminal opportunism, and cybercrime is thriving during the pandemic.  One report suggests that phishing attacks rose 220% during COVID-19 peak and rekindles the urgency of managing information security problems.

The track looks forward to the cutting-edge research in cybersecurity, privacy, and ethics in IS use 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.

Topics of interest include, but are not limited to

  • Ransomware attacks and mitigation strategies
  • AI for Cybersecurity
  • Ethics of Artificial Intelligence
  • Economic aspects of managing security and privacy
  • IT or IS professional’s code of ethics
  • Privacy from ethical point of view
  • Ethics and intellectual property rights
  • Ethics and cyber security
  • Adoption, use, and continuance of information security technologies and policies
  • Employee accountability, insider threats, computer abuse and employee insecure behaviors
  • Corporate strategies, governance, and compliance in security and privacy
  • Cross-cultural issues in IS security and privacy
  • Cyberwarfare and cybersecurity
  • Identity theft and deception in online communication
  • Design and development of information security and privacy enhancing technologies
  • Digital forensics and investigations of computer crime and security violations
  • Hacker culture such as hacking and cracking, white hat and black hat research issues
  • Intrusion detection/prevention
  • Neuroscience applications to information security
  • Risk analysis and management, risk and fraud assessment
  • Security and privacy concerning social media and social networking
  • Security and privacy metrics
  • Security and privacy of mobile devices
  • Socio-technical policies and mechanisms for countering cyber threats

Associate Editors:

  • Wael Soliman, Faculty of IT, University of Jyvaskyla
  • Ying Li, Dalian Universty of Technology
  • Alain Tambe, CUNY Baruch
  • Marko Niemimaa, University of Agder
  • Hemin Jiang, University of Science and Technology of China
  • Xiuyen Shao, School of economics and management, Southeast University, Nanjing
  • Steffi Haag, Friedrich-Alexander University Erlangen-Nürnberg
  • Indranil Bose, Neoma Business School
  • (Robert) Xin  Luo, The University of New Mexico
  • Tejaswini Herath, Brock University
  • Asunur Cezar, Boğaziçi University
  • Sungjune Park, University of North Carolina, Charlotte
  • Alvin Leung, City University of Hong Kong
  • Nan Zhang,, American University
  • Adel Yazdanmehr, CUNY Baruch
  • Yuan Li, University of Tennessee at Knoxville
  • Yan Chen, Florida International University
  • (Jay) Zhe Shan, Miami University
  • Yoo Chul Woo, Florida Atlantic University
  • Rui Chen, Iowa State University
  • Jae Ung (Jake) Lee, Louisiana Tech University
  • Reza Mousavi, Western Michigan University
  • Hamid Reza Nikkhah, Bentley University

Track Chairs

Robert Wayne Gregory
University of Miami

Hong Xu
Hong Kong University of Science and Technology

Matti Rossi
Aalto University School of Business

Track Description

Blockchain, distributed ledger technology (DLT), cryptocurrencies, and Fintech are disruptive technologies that increasingly shape digital innovation, transformation, and entrepreneurship initiatives within and outside the financial industry. Initially applied in the Bitcoin cryptocurrency, blockchain provides a technology solution for building trustless systems in a secure, transparent, and decentralized manner. In recent years, blockchain has become increasingly adopted in various industry sectors such as supply chain and logistics, global trade, internet of things, healthcare, energy and so on.
This track calls for innovative research on topics related to blockchain, DLT, cryptocurrencies, and Fintech. We invite both theoretical and empirical studies that apply any perspective (behavioral, computational, design science, economics, organizational).

Topics of interest include, but are not limited to:
• Fintech innovation: For example, robo-advisory, social trading, social credit scoring, algorithmic trading, mobile payment technologies and business
• Issues and opportunities of the transformation from the platform to the token economy: For example, regulatory frameworks, new regulatory challenges with fintech, (de)centralization, commoditization of mining hardware, governance mechanisms, impacts of tokenized invoices
• Macroeconomic implications of fintech: disintermediation of established players, the impact of cryptocurrencies, structural changes in the economy
• Organizational and business model transformation driven by fintech: For example, digital transformation of banks, adoption and innovation with cryptocurrencies, DLT, and blockchain technologies
• Leveraging new types of data in the financial market: For example, ethical concerns, data-driven business models, fraud detection, practical feasibility, smart trading strategies such as artificial intelligence-driven trading practices, data management and governance issues related to blockchain
• Design and architecture of blockchain and distributed ledger technology systems: For example, nature of the multi-layered architecture of blockchain and DLT systems, network effects in blockchain networks
• Management and organization of blockchain, DLT, and cryptocurrencies: For example, asset management with blockchain-based tokenization, distributed and decentralized organization, coordination, and governance, Decentralized Autonomous Organizations (DAOs)
• Blockchain as a driver of social innovation and world benefit: For example, collective intelligence and collective action in DAOs, increasing financial inclusion, addressing collective action threats through smart contracts, collective value creation through blockchain governance
• Emerging new topics: For example, Non-Fungible Tokens (NFTs) and novel token applications, Decentralized Finance (DeFi) platforms

Associate Editors:

  • Christoph Mueller-Bloch, ESSEC Business School
  • Chaitanya Krishna Sambhara, The University of Texas at Arlington
  • Niam Yaraghi, University of Miami
  • Thomas Widjaja, University of Passau
  • Dongwon Lee, Hong Kong University of Science and Technology
  • Yanzhen Chen, Hong Kong University of Science and Technology
  • Zike Cao, Zhejiang University
  • WeiFang Wu, Copenhagen Business School
  • Ping Fan Ke, Singapore Management University
  • Xiaofan Li, National University of Singapore
  • Murat Tunç, Tilburg University
  • Svetlana Abramova, University of Innsbrucj
  • Gerhard Schwabe, University of Zurich
  • Kari Koskinen, Aalto University
  • Raffaele Ciriello, The University of Sydney Business School
  • Jonas Valbjørn Andersen, IT-University of Copenhagen
  • Mariia Petryk, University of Florida
  • Hemang Subramanian, Florida International University
  • Arthur Carvalho, Miami University
  • Juho Lindman, University of Gothenburg
  • Shaokun Fan, Oregon State University
  • Zach Steelman, University of Arkansas
  • Livia Norström, University of Gothenburg

Track Title: Sharing Economy, Platforms, and Crowds

Track Chairs

Juan Feng

Tsinghua University

Abhay Mishra

Iowa State University

Chee-Wee Tan

Copenhagen Business School


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 varied actors throughout the world for little marginal cost, facilitate interactions and transactions in a seamless fashion across a variety of contexts: dating, education, financing, hospitality, housing, product review, 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, sharing economy would not have been possible without the growing societal transition into crowd-based modes of innovation and production that leverage the capability of digital platforms and technological infrastructures to orchestrate 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 analyses. We encourage work that crosses disciplinary boundaries and provides us with fresh insights on 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 comprehending sharing economy, multi-sided platforms, and crowd-based modes of innovation and production
  • Novel methodological approaches for researching 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
  • Entrepreneurship in platform-driven, crowd-based modes of innovation and production
  • Economic, legal, geo-political, social, and technological implications of the sharing economy, multi-sided platforms, and crowds
  • Digital labor markets
  • Crowdsourcing and crowdfunding
  • Deployment of AI on multi-sided platforms for facilitating crowd-based modes of innovation and production

Associate Editors:

  • Yi-Chun (Chad) Ho, George Washington University
  • Abhishek Kathuria, Indian School of Business, Hyderabad
  • Angela Lu, City University of Hong Kong
  • Animesh Animesh, McGill University
  • Aravinda Garimella, University of Illinois at Urbana Champaign
  • Attila Marton, Copenhagen Business School
  • Carolina Salge, University of Georgia
  • Carsten Sørensen, London School of Economics
  • Cheng Nie, Iowa State University
  • Dokyun Lee, Boston University
  • Eric Lim, University of New South Wales
  • Hongchang Wang, University of Texas at Dallas
  • Hyelim Oh, National University of Singapore
  • Ioanna Constantiou, Copenhagen Business School
  • Jianqing Chen, The University of Texas at Dallas
  • Jonny Holmström, Umeå University
  • Keongtae Kim, Chinese University of Hong Kong
  • Martin Wiener, Bentley University
  • Pankaj Setia, Indian Institute of Management
  • Raveesh Mayya, New York University
  • Shunyuan Zhanag, Harvard University
  • Sofia Bapna, University of Minnesota, Twin Cities
  • Sri Kuduravalli, HEC-Paris
  • Taha Havakhor, Temple University
  • Yeliz Eseryel, East Carolina University
  • Vandith Pamuru Subramanya Rama, Indian School of Business
  • Vilma Georgia Todri, Emory University
  • Wencui Han, University of Illinois at Urbana Champaign
  • Xin Li, City University of Hong Kong
  • Xuefei (Nancy) Deng, Cal State University
  • Yash Babar, University of Wisconsin, Madison
  • Jens Foerderer, Technical University of Munich
  • Youyou Tao, Loyola Marymount University
  • Zhitao Yin, Hong Kong University of Science and Technology
  • Jing Gong, Lehigh University
  • Yuheng Hu, University of Illinois at Chicago
  • Zhuoxin (Allen) Li, Boston College
  • Sungyong Um, National University of Singapore

Track Title: Human Computer /Robot Interaction 

Track Chairs

Kathrin Figl

University of Innsbruck

Weiyin Hong

Hong Kong University of Science and Technology

Traci Hess

University of Massachusetts, Amherst



Track Description

This track focuses on issues related to the manner in which humans interact with technologies in organizational, managerial, cultural, and social contexts. Humans and machines are collaborating in new ways and organizations are increasingly leveraging intelligent systems. These new human-computer and human-robot interactions represent an evolution in how work is going to be done, and impact individual and team dynamics. Understanding how digital technology shapes human cognition and emotion, and how users interact with technology and algorithms is important for advancing this research. Building robots that can interact socially, in a robust way, with humans is a critical goal. Implementation processes and approaches that help generate value through robotic interfaces and related technology in organizations are of interest. Additionally, we welcome papers that examine the usage and implications of robotic computing and its synergistic interactions with other technologies, such as artificial intelligence and machine learning.

We invite research that advances our understanding of human-computer and human-robot interactions and interfaces at various levels. We welcome both theoretical and empirical studies that apply all methodological approaches (e.g., experiments, analytical work, qualitative studies, design science, econometric analysis, and so forth).

Topics of interest include, but are not limited to:

  • Aesthetic and affective computing
  • Algorithm management for digital work platforms
  • Algorithm aversion and appreciation
  • Cognitive biases and heuristics in the context of novel digital technologies and digital nudging
  • Cognitive overload and technostress
  • Design and evaluation of end-user computing in work versus non-work environment
  • Embedded IT applications including robotics, AI systems, smart 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 automated or autonomous vehicle interactions
  • Human interactions with autonomous and intelligent systems
  • Human-centeredness and user-centeredness in technology design, development, and use
  • Individual differences that impact collaboration with and acceptance of robot partners
  • Impact of interfaces on attitudes, behavior, performance, perception, learning, and productivity
  • Interfaces for information visualization and analytics and human-data interaction
  • Interfaces for a wide variety of PC-based, web-based, and mobile-based applications for communication, social interactions, and commercial exchanges
  • NeuroIS studies on information systems design and use (i.e., neurocognition, neurophysiology, eye tracking)
  • Novel human-robot interaction theories, techniques, and methodologies
  • Studies on online persuasion and deception (e.g., fake news, fake reviews, manipulative e-commerce strategies)
  • Personalization and adaptive interfaces
  • 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 engineering, metrics, and methods for user interface assessment
  • Usage and post-adoption behaviors, such as infusion, exploitation, and exploration of robot-like interfaces and technologies
  • Usability and design research for human collaboration with automated teammates

Associate Editors:

  • Christiane Lehrer, Copenhagen Business School
  • René Riedl Riedl, University of Applied Sciences Upper Austria
  • Greta Polites, Kent State University
  • Isabella Seeber, Grenoble Ecole de Management
  • Eric Walden, Texas Tech University
  • Jella Pfeiffer, Justus-Liebig University Gießen
  • Anne-Francoise Rutkowski, Tilburg University
  • Christoph Weinert, University of Bamberg
  • Liu Yong, Aalto University
  • Roozmehr Safi, University of Missouri-Kansas City
  • Nicolas  Pröllochs , Justus-Liebig University Gießen
  • Tricia  Moravec, University of Texas at Austin
  • Valerie Graf-Drasch, University of Hohenheim
  • Fiona Fui-Hoon Nah, City University of Hong Kong
  • Weiquan Wang, City University of Hong Kong
  • Xi Jessie Yang, University of Michigan
  • Jingjun Xu, City University of Hong Kong
  • Dezhi Wu, University of South Carolina
  • Gurpreet Dhillon, University of North Texas
  • Dongsong Zhang, The University of North Carolina at Charlotte
  • Lingyun Qiu, Peking University
  • Yue Katherine Feng, The Hong Kong PolyTechnic University
  • Sarah Yixin Zhang, University of Gothenburg
  • Alexandra Durcikova, University of Oklahoma
  • Christoph Schenider, University of Navarra
  • Gabe Lee, Miami University
  • Richard Johnson, Washington State University
  • Constantinos Coursaris, HEC Montréal
  • Binny Samuel, University of Cincinnati
  • Heshan Sun, University of Oklahoma
  • Anna McNab, Niagara University
  • Zach Sheffler, University of Massachusetts Amherst
  • Andrew Hardin, University of Nevada Las Vegas

Track Title: AI in Business and Society

Track Chairs

Michael Chau

The University of Hong Kong

Hila Lifshitz-Assaf

New York University(NYU)

Alexander Maedche

Karlsruhe Institute of Technology (KIT)

Track Description 

Our track is concerned with research on the design and evaluation of sociotechnical AI-based systems that achieve multi-sided outcomes and are meaningful to the businesses and/or society as well as the use and consequences of sociotechnical AI systems. Particularly, we welcome studies that examine impactful “AI design principles” and research that yields new principles for the design and evaluation of AI tools. This also includes studies that take on a hybridization approach and present designs of interesting human-AI hybrids in different contexts. We seek studies that are theoretical, empirical, or, technical, quantitative or qualitative, as long as the research yields impactful new insights. By “impactful,” we mean that the design principles should pivot from the existing research, theory, and practice; specifically, authors will need to demonstrate through their understanding of the existing opus, how their research builds on current knowledge on the topic, and not simply state that fact. By “multi-sided outcomes,” we mean an effective AI-based tool or system which achieves value not just for the developer or the corporation using it on consumers, employees or contributors but for those other people as well. The value should be in ways that go far beyond simple recommendations for movie choices, but improve people’s lives in fundamental ways (e.g., closing the income inequality gap, dampening systemic racial biases, reducing information silos, engaging with the challenges of global warming, improving the safety of seniors’ homes, etc.). By “sociotechnical AI,” we mean that studies should seek to open and provide insights into the black box of the user, the ecosystem of use and development, and the technology around it. For example, discussions of the AI tools should include the data and algorithms they are built on, how users are enticed into engaging with these tools, and what is the ecosystem that institutionalizes the tool-usage patterns that harm or foster the multi-sided outcomes. Through our interest in human-AI hybrids, we are also seeking studies that not only focus on the design of AI-based tools for the user but shed more light on how humans and AI can work collaboratively on a task. We invite studies that a) work on all levels of analysis, from the individual up to the societal, and b) research that unpacks not only the black box “of the user, the ecosystem of use and development, and the tool” but also of the interactions between user and tool, which may be at a more granular level. We also welcome submissions providing in-depth cases of implementation and use of AI in specific organizations and identifying its (unintended) consequences. We also ask that studies clearly delineate AI and AI-based tools from traditional information technologies and make a case for why AI (and its surrounding context) should be viewed differently.

Topics of interest include, but are not limited to

  • How can democratic AI avoid deskilling workers?
  • How can complex tools become “transparent” to users without cognitively overloading them?
  • How can the financial factors rarifying AI tools that harm people be overcome?
  • How can explainable AI be converted to AI modifiable by users to better represent them?
  • How can personal assistants be designed to act on our behalf against the economic factors forcing them to act without a user’s best interest?
  • How can novel capabilities of human-AI hybrids be leveraged to empower individuals and transform collaboration?
  • What are the rules of data guardianship in human-AI hybrids?
  • Algorithmic biases and debiasing
  • Societal impacts of AI
  • How crowdsourcing can be leveraged to design AI-based tools?
  • The role of AI in governments and policy making
  • New theorizations of data in the age of AI
  • New frameworks of data regulation
  • New designs surrounding human-AI hybrids in platforms
  • What are the implications of AI for the future of work?
  • Unintended consequences of AI
  • Ethics of AI
  • New AI and machine learning algorithms that solves business and societal problems

Associate Editors:

  • Oliver Hinz, Goethe University Frankfurt
  • Peter Buxmann, TU Darmstadt
  • Thomas Hess, LMU Munich
  • Wolfgang Ketter, University of Cologne
  • Wenwen Li, Fudan University
  • Yipu Deng, The University of Hong Kong
  • Zhuolan Bao, The Chinese University of Hong Kong, Shenzhen
  • Shasha Deng, Shanghai International Studies University
  • Stanley Kok, National University of Singapore
  • Van-Hau Trieu, Deakin University
  • Sander Paul Zwanenburg, University of Otago
  • Stella Pachini, Cambridge U
  • Aaron Cheng, LSE
  • João Sedoc, NYU
  • Xiaobai Li, University of Massachusetts Lowell
  • Shuo Yu, Texas Tech University
  • Noyan Ilk, Florida State University
  • Wenli Zhang, Iowa State University
  • Junpei Komiyama, NYU
  • Ulrich Gnewuch, Karlsruhe Institut of Technology
  • Karla Sayegh, Cambridge
  • Mario Nadj, Karlsruhe Institute of Technology
  • Xiong Zhang, Beijing Jiaotong University

Track Title: IS Design, Development, and Project Management

Track Chairs

Geneviève Bassellier

McGill University

James J. Jiang

National Taiwan University

Thomas Kude

ESSEC Business School

Track Description

The advent of technologies such as mobile apps, blockchain, and the Internet of Things (IoTs) has dramatically altered the manner in which Information Systems (IS) are being conceived, developed, and managed in organizations. Rapid automation of processes through the use of Machine Learning (ML) and Artificial Intelligence (AI) has impacted virtually every facet of IS design, development, and project management. Furthermore, IS Development (ISD) processes increasingly integrate operations with cross-functional software teams (i.e., DevOps) to manage complexity and to respond with agility to changing market conditions. Third, the proliferation of open source tools and the increasing number of outsourcing and crowdsourcing options allow organizations to evolve innovative solutions to complex problems. New software development approaches combined with diverse software platforms and application environments provide the opportunity to broaden the array of approaches to design and development available to IS project managers and to offer the prospect of approaches better fitting with organizational settings, personnel skills, and task demands. Given this complex and dynamic nature of IS projects, many projects continue to run over budget, to extend past schedule, and to deliver less than or different products than anticipated, needed, or preferred. Finally, to respond to the need for realizing the large-scale digital transformation objectives, IT Program Management has emerged as a distinct discipline. The first and foremost strength of program management approaches is its mediating role for keeping the alignment between individual projects goals and strategic goals, which promises that project deliverables contribute to the business strategy. The second strength of program management approaches is its integrating role for dealing with potential conflicts among multiple projects and ensuring these projects to cooperate and collaborate for the strategic goal realizations.

Given that ISD project/program plays a pivotal role in shaping the strategic direction of organizations and in enabling them to gain and sustain a competitive advantage, researchers have unique opportunities to investigate not only the social, organizational, and technical challenges and risks associated with ISD project management but also the theoretical underpinnings of the myriad practices that have emerged over time.

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 dispersed organizational settings where ISD and project/program management often occur. 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, lean, and DevOps approaches to IS design, development and project management
  • Privacy and security issues in IS development, including cyber-security
  • Role of AI/ML and robotics in IS design, development, and project management
  • Technical and organizational challenges of designing and developing algorithmic/ML systems, including the role of and interaction between developers and data scientists
  • Regulation and compliance issues in IS design, development, and project management
  • Socio-technical aspects of IS design, development, and project management
  • Sourcing of IS projects, including multi-sourcing, cloud-services, and crowdsourcing
  • IS development and education, including the role of digital platforms and traditional institutions in providing IS development-related education
  • Low-code/no-code approaches to IS design and development
  • Project management challenges in IS projects, including estimation, risk, quality assurance, governance, knowledge, team dynamics, and managing organizational change
  • Managing collocated and distributed IS projects and teams and program management
  • Role of stakeholders in IS design, development, and project/program management
  • IS project/program management capabilities, competence, and maturity
  • Leadership challenges and politics in IS project/program management
  • Novel theoretical perspectives and research approaches that broaden or question our understanding of IS design, development, and project/program management
  • IoT aspects in IS development and project management

Associate Editors:

  • Bogdan Negoita, HEC Montreal
  • Dorit Nevo, Rensselaer Polytechnic Institute
  • Roman Lukyanenko, HEC Montreal
  • Jens Dibbern, The University of Bern
  • Muriel Mignerat, University of Ottawa
  • Oliver Krancher, IT University of Copenhagen
  • Eleni Lioliou, Queen Mary University of London
  • Daniel Gozman, University of Sydney
  • Nicolas Prat, ESSEC
  • Christoph  Rosenkranz, University of Cologne
  • Jason Wu, Tsinghua University
  • Weidong Xia, Florida International University
  • Jong Seok Lee, University of Tennessee
  • Sigi Goode, Australian National University
  • Jacob Tsai, National Yunlin University of Science and Technology
  • Yuzhu Li, University of Massachusetts Dartmouth
  • Kai Spohrer, Frankfurt School of Finance & Management

Track Title: IS Implementation and Adoption

Track Chairs

 Alanah Mitchell

Drake University

Manuel Trenz

University of Goettingen

 Xiaojun ZHANG

The Hong Kong University of Science and Technology

Track Description

We are living in an era of digital transformation, an ongoing process that transforms services and business through the implementation and adoption of various digital technologies that include but are not limited to mobile, social media, digital platforms, cloud, IoT, robotics, artificial intelligence and machine learning, big data and real-time analytics. Given the changing nature of the IT artifact, its ubiquity to all that we do in our personal and professional lives, as well as its role in our connectedness to others, our challenge is to understand behavioral, organizational, and institutional factors affecting IT adoption and/or usage as well as the implementation processes and approaches that are essential to enable the generation of value from IT in positive ways.

This track invites research that brings fresh theoretical, methodological, and practical insights concerning implementation, adoption and use of information systems and digital technologies in the fast-changing world (including global crises) at individual, team, group, organizational, industry, societal, and global levels. The track welcomes papers grounded in a broad range of theories, perspectives, and methodologies, addressing real-world problems. We also welcome papers that use novel theories, introduce novel perspectives and use multiple and mixed methodologies including combinations of qualitative and quantitative approaches in field and lab 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 all types of IS in various contexts.

Topics of interest include, but are not limited to:

  • Novel philosophical/theoretical/methodological perspectives to tackle the issues of the implementation, adoption and use of digital technologies
  • Novel conceptual perspectives on what constitutes adoption and use in the light of interconnected, autonomous or invisible technologies
  • Contextualized factors influencing IT/IS adoption and use at micro and macro levels
  • Interdependencies between individual, group, organizational, or societal IT/IS adoption decisions and multilevel perspectives on adoption
  • Feature- or affordance-oriented IT/IS adoption and use
  • Longitudinal perspectives on (post-)adoption and use behaviors
  • Global or cross-cultural studies of IT/IS implementation, adoption, and post-adoption
  • The impact of global crises and disruptive innovations on IS implementation, adoption and use
  • User innovation with digital technologies and IS
  • Implementation of platform-based ecosystems and interactions within
  • IS adoption and implementation in the of context interconnected devices, services and ecosystems with path dependencies, social interactions, and network externalities
  • Development and growth of talent for IS implementation
  • Value creation for individuals, organizations, and societies through implementation and use of digital technologies in different contexts
  • 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
  • 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

Associate Editor:

  • Hillol Bala, Indiana University
  • Benedikt Berger, University of Münster
  • Frank Chan, ESSEC Business School
  • Ben Choi, Nan Yang Technological University
  • Cecil Chua, Missouri University of Science & Technology
  • Andreas Eckhardt, University of Innsbruck
  • Rob Fichman, Boston College
  • Karoline Glaser, University of Mannheim
  • JJ Po-An Hsieh, Georgia State University
  • Dan Kim, University of North Texas
  • Sven Laumer, University of Nuremberg-Erlangen
  • Kalle Lyytinen, Case Western Reserve University
  • Christian Maier, University of Bamberg
  • Sabine Matook, The University of Queensland
  • Saggi Nevo, University at Albany
  • Boris Ng, The Hong Kong Polytechnic University
  • Anuragini Shirish, Institute Mines-Télécom Business School
  • Kai Spohrer, Frankfurt School of Finance & Management
  • Simon Trang, University of Goettingen
  • Siva Viswanathan, University of Maryland
  • Elizabeth White Baker, Virginia Commonwealth University
  • Xin Xu, The Hong Kong Polytechnic University
  • Dobin Yim, Loyola University Maryland

Track Title: Data Analytics for Business and Societal Challenges

Track Chairs

Gene Moo Lee

University of British Columbia

Ali Sunyaev

Karlsruhe Institute of Technology

Jing Wang

Hong Kong University of Science and Technology


Track Description

This track is dedicated to research that applies and/or develops novel data science and analytics theories, algorithms, methods, and frameworks to address challenging and practical problems that benefit business and society at large. Domains may include small businesses, healthcare, judicial systems, social media and energy, and applications such as fraud detection, social network services, human resource analytics, privacy, recommendation systems, 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

  • AI and analytics implications for the firm competitive dynamics
  • Analytics that address societal issues such as the digital divide and polarization
  • Analytical solutions for the survival of small businesses
  • Applications of crowd-sourcing for enhanced predictive analytics
  • Business and societal challenges arising from work from home policies, remote learning and online schooling
  • Changing consumer habits and the accompanying need for firms to transform and use analytics to change products and services
  • Data analytics addressing racial and gender bias
  • Data-driven policy implementations, e.g., to address climate change
  • Future of work, work transformation, and work-life balance (machines replacing humans, machines complement humans)
  • 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
  • Resilience of business supply networks and shifts in sourcing
  • Social networks and contact tracing and relevant privacy challenges
  • Societal impacts of personalization and recommendation systems
  • Societal aspects around data (data monetization, information businesses, and data products)
  • Trustworthy AI
  • Unstructured data analysis (e.g., text, image, audio, video) to address challenges

Associate Editors:

  • Arslan Aziz, University of British Columbia
  • Mi Zhou, University of British Columbia
  • Shu He, University of Connecticut
  • Bowen Lou, University of Connecticut
  • Donghyuk Shin, Arizona State University
  • Sunghyuk Park, KAIST
  • Chris Parker, American University
  • Yi Yang, HKUST
  • Tomer Geva, Tel-Aviv University
  • Xiao Liu, Arizona State University
  • Carlos Fernández-Loría, HKUST
  • Gen Li, Fudan University
  • Yong Ge , University of Arizona
  • Weifeng Li, University of Georgia
  • Manuel Wiesche, Technical University of Dortmund
  • Christian Janiesch, Technical University of Dortmund
  • Patrick Zschech, University of Erlangen–Nuremberg
  • Niklas Kuehl, Karlsruhe Institute of Technology
  • Irina Heimbach, WHU – Otto Beisheim School of Management
  • Melanie Reuter-Oppermann, Technical University of Darmstadt
  • Wendy Günther, VU Amsterdam
  • Mayur Joshi, University of Manchester

Track Title: Digital Innovation, Entrepreneurship, and New Business Models

Track Chairs

M. Kathryn Brohman

Queen’s University, Canada

Zhengrui (Jeffrey) Jiang

Nanjing University, China

Lisen Selander

University of Gothenburg, Sweden


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, manufacturing, and service 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 that take advantage of crowdsourcing, crowdfunding, peer-to-peer, and virtual or augmented reality. Innovation processes themselves are becoming less bounded, more open, less predictable and more fluid. New business models of the sharing economy, (e.g., Uber, Lyft, AirBnB) are disrupting traditional industries and creating new marketspaces.

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 in nature, covering behavioral, organizational, economic, and technical aspects of information and communication technologies. .

The research challenges related to issues of digital innovation, entrepreneurship and new business models 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 require a salient focus on information systems in the formulation of the research objectives and contribution.

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 that can generate novel insights to advance scholarly understanding and practical utility. We would also like to open up for research that take on a critical perspective on the issues related to the topics discussed, including aspects 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:

  • Yidong Chai, Hefei University of Technology
  • Jiawei Chen, Shanghai University of Economics and Finance
  • Amita Goyal Chin, Virginia Commonwealth University
  • Shahryar Doosti, Chapman University
  • Qianzhou Du, Nanjing University
  • Ben Eaton, Copenhagen Business School
  • Haiyang Feng, Tianjin University
  • Hossein Ghasemkhani, Purdue University
  • Paola Gonzalez, Dalhousie University
  • Philipp Hukal, Copenhagen Business School
  • Lena Hylving, Halmstad University
  • Claire Ingram Bogusz, Stockholm School of Economics
  • Julian Lehmann, Vrije Universiteit Amsterdam
  • Huifang LI, University of Science and Technology of China
  • Stanislav Mamonov, MSU
  • Zixuan Meng, University of Texas at Dallas
  • Petter Nielsen, University of Oslo
  • Roser Pujadas, London School of Economics and Political Science
  • Hannes Rothe, Freie Universität Berlin
  • Johan  Sandberg, Umeå University
  • Tingting Song, Shanghai Jiao Tong University
  • Marta Stelmaszak, Portland State University
  • Ning Su, University of Western Ontario
  • Fredrik Svahn, University of Gothenburg
  • Olgerta  Tona, Universtity of Gothenburg
  • Gregory Vial, HEC Montreal
  • Frederik von Briel, University of Queensland
  • Yingfei Wang, University of Washington
  • Yinglei Wang, Acadia University
  • Nianxin Wang, Jiangsu University of Science and Technology
  • Yong Wu, Donghua University
  • Mingwen Yang, University of Washington
  • Xueyan Yin, City University of Hong Kong
  • Jingmei Zhou, Renmin University

Track Title:  Social Media and Digital Collaboration

Track Chairs

Eva Bittner

Arvind Tripathi

Dezhi (Denny) Yin


Track Description

 Social media and digital collaboration are core pillars of research inquiry into how digital technologies connect people and enable social and collaborative interactions. The International Conference on Information Systems (ICIS) has a record of promoting scholarship that advances knowledge in this domain and invites submission of cutting-edge research on related topics. This can include topics relating to social media and/or digital collaboration.

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 social networks, and a basis for building personal brand and reputation. Impacting organizations, it serves 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. Impacting society, social media serves as a tool for 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.

Digital collaboration is now a mainstream approach to accomplish a wide variety of objectives in business and society. With recent pandemic events, digital collaboration has become even more prominent. From dyads and small groups to large-scale collectives and organizations, digital tools, such as platforms, are major means for facilitating collaboration. Digital collaboration takes many forms in a wide range of domains including open innovation, crowd work, distributed and hybrid teams, knowledge sharing communities, citizen science, human-machine collaboration, and work-from-home (WFH) schemes. Evolving technologies, such as intelligent assistance systems 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.

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 information content on social media
  • Exploring multidimensional effects of 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
  • Management of social media or digital collaboration
  • 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 algorithms for the facilitation of social media interactions or digital collaboration
  • 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
  • Prediction and nowcasting using social media data
  • Reputation and trust in social media or digital collaboration
  • Impact of social media on information exposure and consumption
  • 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
  • Use of social media or digital collaboration for political participation and societal challenges
  • Novel user interfaces and user interaction modes for digital collaboration (e.g., immersive technologies)
  • AI enhanced collaboration processes
  • 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:

  • Alex Wang, Peking University
  • Amber Young, University of Arkansas
  • Brent Kitchens, University of Virginia
  • Dominik Siemon, LUT University
  • Dylan Walker, Chapman University
  • Elina Hwang, University of Washington
  • Florian Schwade, University of Koblenz-Landau
  • Gang Wang, University of Delaware
  • Hamid Khobzi, University of Bern
  • Hani Safadi, University of Georgia
  • Jacqueline Pike, Duquesne University
  • Lin Hao, Fordham University
  • Mateusz Dolata, University of Zurich
  • Milad Mirbabaie, Paderborn University
  • Navid Tavanapour, Universtität Hamburg
  • Peijian Song, Nanjing University
  • Qian Tang, Singapore Management University
  • Qiqi Jiang, Copenhagen Business School
  • Rakesh Mallipeddi, Tulane University
  • Sherae Daniel, University of Cincinnati
  • Sofia Schöbel, University of Osnabrück
  • Stefan Morana, Saarland University
  • Sunghun Chung, Santa Clara University
  • Sylvia Gao, University of Auckland
  • Warut Khern-am-nuai, McGill University
  • Wenqi Shen, Virginia Tech
  • Yinan Yu, University of Memphis
  • Yingda Lu, University of Illinois at Chicago
  • Zhanfei Lei, University of Massachusetts Amherst
  • Zhepeng (Lionel) Li, York University
  • Zhewei Zhang, University of Warwick
  • Zhiya Zuo, City University of Hong Kong

Track Title: IS in Healthcare

Track Chairs

Miria Grisot

University of Oslo, Norway

Seung Hyun Kim

Yonsei University, Korea

Tracy Ann Sykes

University of Arkansas, USA

Track Description

Healthcare is an area of robust growth and importance in much, if not all, of the developed and developing world. The marriage of Healthcare and Information Systems (HIS) is one that promises many benefits, but also presents many challenges. This area of study has shown steady growth at local, regional, national, and international levels, and in areas that span the gamut of information systems topics. The promise of more efficient healthcare administration, safer provision of care, and the ability to extend the range of care through HIS has been examined in the information systems literature. In the past two years the importance of healthcare provision, healthcare practices, policies and the potential pitfalls of dis- and misinformation regarding healthcare has been a focus in both the trade and academic press, suggesting that HIS as a topical area of information systems research is likely to remain a focus for exploration.

The promise of HIS is to deliver better, cost-efficient and patient-centric healthcare through widespread sharing of authorized data, process transformation and proactive involvement by patients to sustain their own well-being. There is early evidence that HIS, in isolation and in combination, impact care provision and administrative processes, enhance care quality, reduce healthcare costs and facilitate information sharing across organizational boundaries. However, researchers have not found consistent results and the context of examination is still central in understanding research findings. Additionally, national and regional governments worldwide have introduced several initiatives around technology use, data integration, privacy, payment models and access to care, and the commercial sector has launched several innovations in the consumer sector, which make it easier to track and consolidate individual-level data. Increasing standardization in the healthcare industry and the widespread use of HIS among health care providers, payers and consumers have enabled the creation of large datasets, which lend themselves well to predictive modeling.

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

Topics of interest include, but are not limited to

  • Big data, artificial intelligence and healthcare
  • Clinical information systems
  • Design and implementation of healthcare information technologies
  • Diffusion, adoption, assimilation and governance of HIS
  • Electronic data sharing and transfer using health information exchanges
  • Healthcare analytics
  • Healthcare dis- and mis-information
  • HIS and health policy
  • Impact of health IT on COVID-19 health outcomes
  • Impact of investments in Information Technology in Healthcare
  • Mobile health applications and their impacts
  • New methods of care delivery and payment
  • Organizational, operational, clinical and financial implications of HIS use
  • Personalized medicine
  • Providing of patient care during disasters and emergencies
  • Public health informatics
  • Safety, security and privacy of health information
  • Technology-enabled care coordination
  • Technology-enabled patient care management
  • Telehealth applications and their impacts
  • Telemedicine and telehealth and their impacts on health and economic outputs
  • The impact of HIS on care providers, patients and payers
  • User-generated content and its impact on healthcare practices and providers
  • Virtual Communities and their impact on patient empowerment and patient safety
  • Wearable health devices and their health outcomes

Associate Editors:

  • Yu Tong, Zhejiang University
  • Juhee Kwon, City University of Hong Kong
  • Hyeyoung Hah, Florida International University
  • Hyeokkoo Eric Kwon, Nanyang Technological University
  • Nakyung Kyung, National University of Singapore
  • Eun Ju Jung, George Mason University
  • Xiaofei Zhang, Nankai University
  • Gunwoong Lee, Korea University
  • Xitong Guo, Harbin Institute of Technology
  • Juyoung Kang, Ajou University
  • Sangwook Ha, BNU-HKBU United International College
  • Ben Liu, City University of Hong Kong
  • Loo Geok Pee, Nanyang Technological University
  • Lu (Lucy) Yan, Indiana University
  • Ruba Aljafari, University of Pittsburgh
  • Satish Krishnan, Indian Institute of Management Kozhikode
  • Jennifer Large, Lamar University
  • Qin Weng, University of Arkansas
  • Reza Mousavi, University of Virginia
  • Sushma Mishra, Robert Morris University
  • Rahul Singh, University of North Carolina Greensboro
  • Roberta Bernardi, University of Bristol
  • Chad Anderson, Miami University
  • Raj Sharman, University of Buffalo
  • Balaji Sankaranarayanan, University of Wisconsin Whitewater
  • Troels Mønsted, Roskilde University
  • Polyxeni Vassilakopoulou, University of Agder
  • Sundeep Sahay, University of Oslo
  • Daniel Fürstenau, Copenhagen Business School
  • Alexander Kempton, University of Oslo
  • Aishwarya Shukla, Simon Fraser University
  • Jennifer Claggett, Wake Forest University
  • Kartik Ganju, McGill University
  • Seth Benzell, Massachusetts Institute of Technology
  • Behnaz Bojd, UC Irvine

Track Title: Governance, Strategy and Value of IS

Track Chairs

HENG Cheng Suang

National University of Singapore

Christine LEGNER

University of Lausanne


University of Minnesota


Track Description

The advent of social, mobile, analytics, cloud, and internet of things (SMACIT) technologies represent both game-changing opportunities and pose existential and disruptive threats to many organizations, even those who have been successful in operating based on the conventional logic of the pre-digital economy. Combined with conventional digital technologies, these technologies present invaluable opportunities for many organizations to offer new, value propositions so as to better respond to competitive demands. They are also significantly obsoleting the design of conventional business processes, forcing firms to reshape their buyer-supplier and customer relationships and rethink how they create value. For example, sensors on equipment as well as real time data collected via gadgets have captured much big data for predictive analytics and allow organizations to use big data to effectively orchestrate and introduce innovative business models or revolutionize its supply chains. We are consequently in a period when organizations are reevaluating existing IT and organizational strategies and engaging in large scale digital transformations.

These changes are creating new opportunities for value creation, but also raise complex challenges relating to the strategic use, governance and implementation of technology. For example, platform strategies offer a novel way to meet evolving market demands and create value in both the production and the consumption ecosystems. They require organizations to balance the demands of both stability and agility through configuring their inter-organizational relationships and governance mechanisms. As another example, the commercialization of Artifical Intelligence and Machine Learning technologies offers a completely new set of business opportunities, based on the widespread availability of inexpensive high power computing infrastructure on demand. The emerging IoT technology 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/home IoT devices. Cloud computing and the consumerization of digital technologies allow ordinary employees with little formal technology training to adopt and implement IS on their own, posing challenges to organizations related to security and complicating both the governance of IT and assessment of value from corporate systems.

Overall, there are a variety of interesting questions pertaining to the strategic use of technologies, their governance and the redesign of products, services and ecosystems that the IS community has the opportunity to address and provide thought leadership for academic research as well as practice.

We invite thought-provoking, original, and high-quality research articles that expand and challenge our understanding of and current theory related to strategic management, governance, and the value of IS. We encourage interdisciplinary approaches leveraging on theories in the information systems, strategic management, economics, or organization literatures. We welcome papers using a wide range of research methods, including qualitative, quantitative, experimental, and design science approaches. Theory papers are also encouraged. Submitted papers should offer meaningful and actionable implications for practitioners.

Topics of interest include, but are not limited to

  • Critical reflections, challenges, novel theorization, and innovative practice of IT governance, strategy, and valuation
  • Business redesign with digital technologies (e.g. artificial intelligence, machine learning) and impact on IS strategy and governance
  • Digital strategizing and link to overall business strategy and transformation
  • Governance of digital infrastructures enabled by emerging technologies such as AI, IoT, blockchain, cloud computing, and machine learning
  • Platform strategies for production and consumption ecosystems and their governance
  • Governance of IT projects including traditional and open source software development, strategic IT outsourcing and digital business ecosystems
  • Strategy, governance and value of IS in crisis and pandemic situations
  • Design and management of digital product/service platforms
  • Strategies, organizational structures and culture encouraging technology experimentation and agility
  • Ethical issues, risks and compliance in IS strategies and governance
  • Risks of the “alignment trap” and impacts on IS value

Associate Editors:

  • Alexander Benlian, Darmstadt University of Technology
  • Edward Bernroider, Vienna University of Economics and Business
  • Jin Chen, University of Nottingham Ningbo
  • Yi Ding, Warwick Business School
  • Paul Drews, Leuphana University of Lueneburg
  • Nils Fonstad, MIT Center for Information Systems Research
  • Stefan Henningsson, Copenhagen Business School
  • Shiying Lim, National University of Singapore
  • Zhijie Lin, Tsinghua University
  • Julien Malaurent, ESSEC Business School
  • Christian Matt, University of Bern
  • Patrick Mikalef, Norwegian University of Science and Technology
  • Stephanie Missonier, University of Lausanne
  • Roopa Raman, University of Dayton
  • Terence Saldanha, University of Georgia
  • Nilesh Saraf, Simon Fraser University
  • Yi Shen, Soochow University
  • Paul Talon, Loyola University Maryland
  • Nils Urbach, Frankfurt University of Applied Sciences
  • Rogier van de Wetering, Open University of the Netherlands
  • Yen-Yao Wang, Auburn University
  • Yingda Zhai, National University of Singapore

Track Title: Advances in Methods, Theories, and Philosophy

Track Chairs

Dubravka Cecez-Kecmanovic

University of New South Wales

Aron Lindberg

Stevens Institute of Technology

Tuure Tuunanen

University of Jyväskylä


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.

Rapid, ubiquitous digitalization is not only an ever-present subject of our inquiries, it also poses growing concerns regarding social, organizational and individual issues. With its focus on the social, the technological and the human, the IS discipline has unique opportunities and responsibilities in investigating, understanding, and theorizing digital phenomena. We have unique opportunities due to our systemic, holistic, multi-faceted, and multi-paradigmatic inquiries into the technological, social, and human aspects of digitalization.

Furthermore, we have unique responsibilities for identifying, drawing attention to, and explaining the dangers and detrimental social effects of, problematic digitalization practices (such as digital surveillance; digital discrimination and depravation of the most vulnerable) often imposed under the banner of “technological progress.” With our inquiries, our theorizing, and the knowledge that we create, we all participate in the making of our shared digital world and the remaking of our humanity.

Seeing our track in this light, we would like to open a space for scholarly debate on the philosophical, theoretical, and methodological questions that are critical for IS research in the digital age. We invite scholars to contribute to the debate and submit 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:

  • Philosophy of IS: reflections on the philosophical foundations of IS research, opportunities they open(ed) and limitations they impose(ed)
  • 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 and limitations)
  • The needs for new theories, native theories, advanced theories—why, for what, and for whom?
  • Breaking the mold and innovating around theorizing—new philosophical grounds and methodological innovations for advancing IS research
  • A critical reflection on dominant methodological approaches and methods in IS, with implications for knowledge production
  • 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
  • New approaches and methodological advances in investigating complex, fluid, uncertain and messy digital phenomena
  • Advancements of qualitative, quantitative, mixed, design science research, and computational methods seeking to enable new insights into contemporary digital phenomena
  • Discussion on (renewed) needs for critical social approaches and theorizing that draws attention to and explains contradictions and conflicts in socially detrimental digitalization in both private and public sectors

Associate Editors:

  • Bei Yan, Stevens Institute of Technology
  • Tianjie Deng, University of Denver
  • Jordan Suchow, Stevens Institute of Technology
  • Aaron Schecter, University of Georgia
  • Jingyi Sun, Stevens Institute of Technology
  • Michele Samorani, Santa Clara University
  • Olivera Marjanovic, University of Technology Sydney
  • Sebastian Boell, University of Sydney
  • Ulrike Schultze, Southern Methodist University
  • Amir Haj-Boulari, University West
  • Markus Makkonen, University of Jyväskylä
  • Naomi Woods, University of Jyväskylä
  • Leona Chandra Kruse, University of Liechtenstein
  • Karin Väyrynen, University of Oulu
  • Elena Parmiggiani, Norwegian University of Science and Technology

Track Title: User Behavior, Engagement, and Consequences

Track Chairs

Christy M.K. Cheung

Hong Kong Baptist University

Lior Fink

Ben-Gurion University of the Negev

Sandeep Goyal

University of Louisville

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 questions 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 have 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 engagement and the factors that enable and/or inhibit 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 all types of research, conceptual, theoretical, and/or empirical.

Topics of interest include, but are not limited to

  • Influence of individual, group, organizational, and social factors on the use of IS and 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/marketplaces/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
  • Advanced methods for observing user behavior and engagement

Associate Editors:

  • Daniel Lee, University of Massachusetts Boston
  • Dinko Bacic, Loyola University
  • Sagit Bar-Gill, Tel Aviv University
  • Ofir Ben-Assuli, Ono Academic College
  • Laura Brandimarte, University of Arizona
  • Zhao Cai, University of Nottingham Ningbo China
  • Saurav Chakraborty, University of Louisville
  • Tommy Chan, Northumbria University
  • Henner Gimpel, University of Hohenheim
  • Brittany Green, University of Louisville
  • Yoram Kalman, The Open University of Israel
  • Mathias Klier, Ulm University
  • Zach Lee, Durham University
  • Gabriela Mallman, University of Jyväskylä
  • Annamina Rieder, University of St. Gallen
  • Marten Risius, University of Queensland
  • José L. Roldán, University of Seville
  • Manuel J. Sánchez-Franco, University of Seville
  • Sebastian Schuetz, Florida International University
  • Kenneth Shemroske, University of Southern Indiana
  • Xiao-Liang Shen, Wuhan University
  • Ayoung Suh, Sungkyunkwan University
  • Rui Sundrup, University of Louisville
  • Khadija Vakeel, Depaul University
  • Randy Wong, University of Auckland
  • Lior Zalmanson, Tel Aviv University
  • Kem Zhang, Lakehead University

Track Title: Online Reviews and Recommendations

Track Chairs:

Khim Yong GOH

National University of Singapore

Liangfei QIU

University of Florida

Steffen Zimmermann

Ulm University

Track Description

Online reviews and recommendation systems today play decisive roles in consumers’ evaluation and purchase decisions, as well as in firms’ strategic business decisions and competitive actions. First, to use online reviews strategically, online platforms and researchers need insights on how customers can be motivated to post helpful online reviews (Reviewing Behavior), on the economic effects of online reviews (Review Economics), and how review systems can be designed to obtain competitive advantages for firms and to provide reliable, useful information for consumers (Review Systems Design). Second, to further understand how recommendation systems change the competition landscape for firms and influence consumers’ awareness and view of product choices, recommendation system operators and researchers need to investigate the usage behaviors and related cognitive biases under recommendation systems (Behavior under Recommendation Systems), the economic impacts of recommendation systems (Economics of Recommendation Systems), and how to design an efficent and effective recommendation system (Recommendation Systems Design). This track invites cutting-edge and novel research that addresses various issues relating to these above-mentioned research directions or areas.

Overall, this track welcomes theoretical and/or empirical papers that improve our understanding of the behavioral, economic, strategic, and design issues associated with online reviews and recommendations systems. It encompasses studies of online reviews and recommendations at the levels of consumers, businesses or organizations, and markets. We welcome submissions from all IS research traditions and methodological approaches (e.g., analytical models, lab or field experiments, qualitative studies, design science, econometric analyses, etc.). We encourage work that crosses disciplinary and methodological boundaries, and that provides a novel understanding of online reviews and recommendations.

Topics of interest include, but are not limited to:

  • Customer reviewing behaviors and biases with respect to different societal, cultural, demographic or geographic backgrounds and different review metrics
  • Impact of various online review metrics on economic outcomes at consumer, firm or market levels
  • Impact of online reviews on channel structure in markets (e.g., wholesale selling vs. agency selling)
  • Design of gamification structures and incentive mechanisms for consumers or reviewers to post helpful and unbiased reviews of products and services
  • Design measures and theories on how economic outcomes of online reviews can be optimized
  • Monetization schemes for online reviews and their effects on consumers and producers
  • Facilitation process and outcome impacts of how recommendation systems shape consumers’ choice sets in purchase funnel stages
  • Role of recommendation systems in influencing customer purchase intentions, sale transactions, product diversity, shopping experiences, etc.
  • Design and user evaluation of conventional and emerging recommendation systems (e.g., those based on conversational AI)
  • Impact of recommendation algorithms and recommendation listing designs on individual-level and aggregate-level product diversity
  • Design mechanisms and evaluation of methods to mitigate biases in recommendation systems
  • Interaction effects between online reviews and recommendation systems in e-commerce platforms, sharing economy platforms, social media platforms, etc.

Associate Editors:

  • Ying Zhang, University of Auckland
  • Qingliang Wang, Northwestern Polytechnical University
  • Dandan Qiao, National University of Singapore
  • Ding Li, Nanjing University
  • Yoon Han, Harbin Institute of Technology
  • Cenying Yang, City University of Hong Kong
  • Xiaoying Xu, South China University of Technology
  • Panagiotis Adamopoulos, Emory University
  • Alexander Kupfer, University of Innsbruck
  • Dennis Kundisch, University of Paderborn
  • Verena Dorner, Vienna University of Economics and Business
  • Timm Teubner, Technical University of Berlin
  • Alexander Schiller, University of Regensburg
  • Andreas Obermeier, Ulm University
  • Jingchuan Pu, Pennsylvania State University
  • Shuting (Ada) Wang, Baruch College, City University of New York
  • Xue Guo, University of North Carolina at Charlotte
  • Yixin Lu, George Washington University
  • Yi-Jen (Ian) Ho, Pennsylvania State University
  • Yang Pan, Tulane University
  • Chaoqun Deng, Baruch College, City University of New York
  • Xunyi Wang, Baylor University
  • Xiaowei (Michael) Mei, The Hong Kong Polytechnic University

Track Title: Digital and Mobile Commerce

Track Chairs:

Rodrigo Belo

Rotterdam School of Management (RSM)

Erasmus University Rotterdam

Wonseok Oh

College of Business

Korea Advanced Institute

of Science and Technology

Ramesh Venkataraman

Kelley School of Business

Indiana University

Track Description

Over the past few years, digital and mobile commerce has been expanding at an unprecedented rate, becoming an indispensable aspect of global retail markets. The growth of online marketplaces has been further accelerated by the rapid development of digital and mobile technologies empowered by innovations, such as artificial intelligence (AI), blockchain, social media, data analytics, and metaverse. These latest advancements facilitate various business transactions and activities, such as search processes (e.g., voice-driven search, metaverse-enabled communications), marketing (e.g., promotion and advertisement, pricing, and reward points), payments (e.g., card-less transactions, crypto payment gateways), consumer interactions (e.g., chatbots, live-commerce), and supply chain management (e.g., online-offline coordination, demand forecasting, inventory management), and order fulfillment (e.g., shipping logistics). Digital and mobile artifacts have also enabled various customer activities at all touchpoints of the buying journey, such as purchase recommendation, content creation, and negotiation. 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.

Digital and mobile technologies evolve not merely to enhance the facilitation of buyer and seller transactions, but also to transform the nature and operational boundaries of a firm and thereby make its pursuit of new business opportunities possible. For example, mobile devices are changing many aspects of marketing/service operations and product/service development and management as well as bringing together new business models and mechanisms for companies. With the emergence of big data that can be used to inform business decisions, the global penetration of AI and digital transformation and the increasing adoption of mobile devices and technologies by consumers and businesses alike, opportunities to study the organizational aspects of digital and mobile businesses continue to expand. This expansion calls for the establishment of relevant empirical and theoretical research on the managerial and commercial opportunities and challenges born of the advent of digital and mobile technologies and the innovation of new business models, processes, products, and services supported by an increasing integration of these innovations.

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 the following:

  • 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
  • Business, data, and process modeling in intra- and inter-organizational online commerce
  • Chatbots, live commerce, and voice-driven commerce
  • Digital infrastructure, functions, and services in digital and mobile commerce
  • Entrepreneurship, novel business models, and new marketplaces created by the use of digital and mobile technologies
  • Emerging technologies and online/mobile consumer behaviors
  • Information goods and digital marketplaces
  • IT-enabled digital and mobile supply chain operation and managementMobile commerce, mobile banking, mobile marketing, and location-based services
  • Mobile-driven advertising and promotions
  • Omni-channel operations empowered by digital and mobile technologies
  • Recommendation, personalization, and service innovation using digital and mobile technologies
  • Social commerce and collaborative consumption through digital and mobile technologies
  • Trust, privacy, and security issues in digital and mobile commerce

Associate Editors:

  • Dominik Gutt, Erasmus University
  • Jack Tong, Nanyang Technological University
  • Dimitrios Tsekouras, Erasmus University
  • Michail Batikas, Rennes School of Business
  • JaeHwuen Jung, Temple University, US
  • Michael Kummer, Universtiy of East Anglia
  • Poonacha Medappa, Tilburg University
  • Rajib Saha, Indian School of Business
  • Jorge Mejia, Indiana University
  • Amit Deokar, University of Massachussets, Lowell
  • Mochen Yang, University of Minnesota
  • Fujie Jin, Indiana University
  • Mohammad Rahman, Purdue University
  • Yoonseock Son, University of Notre Dame
  • Angela Choi, Florida State University
  • Chul Ho Lee, KAIST
  • Kiwhan Nam, Dongguk University
  • Keumseok Kang, KAIST

Track Title: Service Science

Track Chairs

Fu-ren Lin (林福仁)

Institute of Service Science, National Tsing Hua University

Jens Pöppelbuß

Ruhr-Universität Bochum

Lysanne Lessard

University of Ottawa

Track Description 

Service science is an interdisciplinary approach to the study, management and design of service systems that aims at understanding and enabling service innovation in organizations and society. Information Systems is a core discipline within service science through its contributions of theories, methods and exemplary artifacts related to the transformative role of digital technology in service systems.

This track seeks submissions that continue to advance the information system (IS) discipline’s contributions to service science or that draw from service science and service theory to contribute to IS research. We are particularly interested in submissions that focus on theorizing on service and service systems from an IS perspective. We also welcome submissions that apply service theories from other fields such as marketing, economics, management and computer science to the study, design, adoption and use of information systems.

Given the interdisciplinary nature of Service Science, we welcome relevant and rigorous research from diverse research paradigms including behavioral, empirical and design science.

Topics of interest include, but are not limited to

  • New technologies in service systems, including AI and service robots
  • Service and service systems modeling, analysis, design and engineering
  • Digital tools for service design
  • New business models generated by digital services
  • Technology-enabled service
  • Service innovation through digital technology
  • Information systems in service networks and ecosystems
  • Smart service systems
  • Digital servitization of manufacturing
  • Digital services in a circular economy
  • Design science research in service science
  • Digital transformation toward resilience
  • Service science for sustainability

Associate Editors:

  • Daniel Beverungen, Paderborn University
  • Nancy Wünderlich, Technische Universität Berlin
  • Christian Bartelheimer, Paderborn University
  • Christoph Breidbach, University of Queensland
  • Alessio Maria Braccini, University of Tuscia
  • Paul Maglio, University of California, Merced
  • Christoph Peters, University of St. Gallen
  • Christian Meske, Ruhr-University Bochum
  • Lauri Wessel, European New School of Digital Studies
  • Maria Åkesson, Halmstad University
  • Erwin Fielt, Queensland University of Technology
  • Hannu Kärkkäinen, Tampere University of Technology
  • Esko Penttinen, Aalto University School of Business
  • Chewei Liu, National Taiwan University
  • Yi-chun Ou, National Tsing Hua University
  • Chen-ya Wang, National Tsing Hua University
  • Jack Hsu, National Sun Yat-Sen University
  • Hsin-lu Chang, National Chengchi University
  • Joyce Lee, National Chengchi University
  • Soumya Ray, National Tsing Hua University
  • Wei-hsi Hung, National Chengchi University

Track Title: IT Policy and Government

Track Co-Chairs

Wendy L. Currie

Audencia Business School

Shan Pan

UNSW Business School

Martin Santana

Universidad ESAN

Track Description

Advances in digital technology create new opportunities and challenges for government policy makers to tackle contemporary global issues not limited to climate change and the coronavirus pandemic. The proliferation of digital technology in the form of artificial intelligence, blockchain, cloud computing, machine learning, neural networks, and mobile technology have the potential to disrupt traditional processes, procedures and practices of government IT policy making. Digital technology in recent decades has driven significant change in business, organizational, and work practices. Two major developments in the digital technology landscape have significant implications for policy making: First, the increase in the quantity and quality of data available, and a corresponding increase in the storage, processing, and analysis of data. Online platforms such as Google and Facebook collect citizens’ data on gender, race, sexual orientation, and religious or political views, and use this data to infer their interests and opinions. Data trails increasingly follow citizens offline. Smartphones and smart watches track the exact location of citizens, with government using these data for coronavirus contact tracing. Using a smartphone or a contactless card, rather than paying in cash, provides more information the whereabouts of citizens and what they are buying. These data are stored in the servers of banks and payment networks. Data is also being collected in a more granular way – every second or minute rather than every month or year, and with measurements that are ever more accurate and precise as digital technology tools improve. Improvements in computer hardware have facilitated easier and cheaper handling of ‘big data.’

Second, the increase in connectivity in society spawn new ways of accessing and communicating information and interacting with others. Billions of people can access numerous forms of data and information, communicate, and collaborate with any person, and broadcast their opinions globally, from any location, at any time, and at an increasingly negligible cost. Citizens use digital platforms (Facebook, Instagram, Twitter, WeChat) to communicate with family, friends, and colleagues, anywhere in the world. This has transformed the nature of communication. These platforms have made it possible to ‘crowdsource’ knowledge and information, rather than having to traditional institutions, businesses, and organizations. Many digital tools that underpin these activities are developed and maintained by self-organizing online communities.

Government IT policy combines the dual challenges of introducing digital technology to transform government services for citizens (e.g., eGovernment) and crafting oversight policies to protect citizens privacy and security (data protection directives/regulations). However, traditional methods and tools of governance, regulation, and compliance (GRC) are less effective in a fast-changing digital world. We welcome submissions of all research types, including conceptual and empirical studies that address political, economic, social, and technical aspects of IT policy and government. Papers that focus upon the IT policy-practice intersection are particularly encouraged.

Topics of interest include, but are not limited to:

  • IT policy cross-country comparisons
  • Governance, regulation, and compliance (GRC) policy and practice
  • Governance and regulation in vertical sectors (finance, health, retailing, etc)
  • Data privacy and security policy
  • Government policy on digital technology (artificial intelligence, blockchain, cloud computing, machine learning, neural networks, and mobile technology)
  • Data ethics and innovation policy
  • Digital government and civic engagement
  • Data-driven government, open data, and open government
  • Digital opportunities for policy making
  • eGovernment policy
  • Governance and strategy of digital transformation
  • Governance of IT projects
  • Regulation of digital technology for the protection of citizens
  • Policing the markets to reduce ‘loophole’ behavior
  • Datafication and regulation

Associate Editors:

  • Roberta Cuel, Universita di Trento
  • Abhijeet Ghoshal, University of Illinois Urbana Champaign
  • Miria Koshy, Women’s College Hospital Toronto
  • Stan Karanasioss, University of Queensland
  • Dapeng Liu, UNSW Sydney
  • Bohorques Lopez, Pontificia Universidad Catolica Madre y Maestra
  • Kamran Mahoof, University of Bradford
  • Rohit Nishant, Laval University
  • Amizan Omar, University of Bradford
  • Jyotishka Ray, Miami University
  • Aurora Sanchez, Universidad Catolica de Norte
  • Jonathan Seddon, Audencia Business School
  • Sayyen Teoh, RMIT
  • Eleonora Veglianti, Universite Catholique de Lille
  • Derek Du Wenyu, Beihang University

Track Title: Professional Development Workshop

Track Chairs

Zhiling Guo

Singapore Management University

Nancy Pouloudi

Athens University of Economics and Business

Joseph Valacich

University of Arizona

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.

A 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.

A teaching PDW might illustrate an innovative approach of teaching some IS topic and/or using a technology-enabled technique 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
  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

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 takeaways 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 2022 submission template.

Associate Editors:

  • Lapo Mola, SKEMA Business School
  • Will Venters, London School of Economics
  • Yingda Zhai, National University of Singapore

Track Chairs

Sue Brown, University of Arizona,

Yongsuk Kim, Sung Kyun Kwan University,

Isabelle Walsh, SKEMA Business School,


Track Description

Panels afford the opportunity to discuss timely topics that are important, and provocative. A good panel engages the audience and invites experts 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 that demand focused research attention, new research challenges, or changes to the status quo of the discipline. Panels related to the conference theme, and panels including a senior practitioner, are especially welcome. We encourage proposals that are innovative, inspirational, and potentially controversial, 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:

  • Introduction: Brief description of the panel and its rationale/motivation.
  • Issues: Issues or dilemmas that will be discussed.
  • Panelists: Names and positions of those who will take varied viewpoints. For debates, identification of proponents and opponents.
  • Panel Structure: Description of timing of the session and the format of interaction among participants and with the audience.
  • 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.
  • Biographies: A brief description of each participant’s background, including expertise related to the topic and views of the issues.
  • References: As appropriate.

Review Criteria

  • Panel Topic: Topic is timely, interesting, relevant, novel, and intellectually stimulating.
  • Panel Focus: The panel is organized around a set of coherent and well-articulated issues and topics that can lead to divergent views.
  • Panel Format: Panel focuses on discussion and not the presentation of research results; the format is innovative and involves the audience; the interaction mode involves the innovative use of technology.
  • Panelists: Panelists are leaders in the panel topic area and represent a diversity of opinions, roles, backgrounds, and/or geographic regions; panelists are likely to attract the interests of a broad spectrum of ICIS participants; panelists include practitioners as well as scholars.
  • Implications: The outcome of the panel has implications for practice or conduct of research in information systems.
  • Panel Interest: The panel seems likely to draw a wide audience.

Associate Editors:

  • Frantz Rowe, Universite de Nantes
  • Chitu Okoli, Universite Cote D’Azur
  • John Dong, Trinity Business School
  • YoungKi Park, George Washington University
  • Sagar Samtani, Indiana University
  • Jaime Windeler, University of Cincinatti