Track Descriptions

Digitization for the Next Generation

Track Title: Digitization for the Next Generation

Track Chairs:

Wai Fong Boh

Nanyang Technological University

awfboh@ntu.edu.sg

Hanna Krasnova

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

krasnova@uni-potsdam.de

Jacqueline Corbett

Université Laval

jacqueline.corbett@fsa.ulaval.ca

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

General IS Topics

Track Title: General IS Topics

Track Chairs:

Idris Adjerid

Virginia Tech

iadjerid@vt.edu

Joe Nandhakumar

University of Warwick

Joe.nandhakumar@wbs.ac.uk

Marta Indulska

The University of Queensland

m.indulska@business.uq.edu.au

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

Digital Learning and IS Curricula

Track Title: Digital Learning and IS Curricula

Track Chairs

Jeffrey Proudfoot

Bentley University, USA

jproudfoot@bentley.edu

Matthias Söllner

University of Kassel, Germany

soellner@uni-kassel.de

Bernard Tan

National University of Singapore

btan@comp.nus.edu.sg

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

IS and the Future of Work

Track Title: IS and the Future of Work

Track Chairs

Carol Hsu

The University of Sydney Business School

carol.hsu@sydney.edu.au

Ning Nan

The University of British Columbia

ning.nan@sauder.ubc.ca

Mari-Klara Stein

Copenhagen Business School, Denmark

ms.digi@cbs.dk

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

Societal Impact of Information Systems

Track Title: Societal Impact of Information Systems

Track Chairs

Hala Annabi

University of Washington

hpannabi@uw.edu

Robin Teigland

Chalmers University of Technology

robin.teigland@chalmers.se

Shuk Ying (Susanna) Ho

The Australian National University

susanna.ho@anu.edu.au

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

Cybersecurity, Privacy and Ethics of AI

Jingguo Wang
The University of Texas at Arlington
jwang@uta.edu

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

Mikko Siponen
University of Jyväskylä
mikko.t.siponen@jyu.fi

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

Blockchain, DLT, and Fintech

Track Chairs

Robert Wayne Gregory
University of Miami
rwgregory@miami.edu

Hong Xu
Hong Kong University of Science and Technology
hxu@ust.hk

Matti Rossi
Aalto University School of Business
Matti.rossi@aalto.fi

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

Sharing Economy, Platforms, and Crowds

Track Title: Sharing Economy, Platforms, and Crowds

Track Chairs

Juan Feng

Tsinghua University

fengjuan@sem.tsinghua.edu.cn

Abhay Mishra

Iowa State University

abhay@iastate.edu

Chee-Wee Tan

Copenhagen Business School

ct.digi@cbs.dk

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

Human Computer/Robot Interaction

Track Title: Human Computer /Robot Interaction

Track Chairs

Kathrin Figl

University of Innsbruck

kathrin.figl@uibk.ac.at

Weiyin Hong

Hong Kong University of Science and Technology

whong@ust.hk

Traci Hess

University of Massachusetts, Amherst

thess@isenberg.umass.edu

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:

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

AI in Business and Society

Track Title: AI in Business and Society

Track Chairs

Michael Chau

The University of Hong Kong

mchau@business.hku.hk

Hila Lifshitz-Assaf

New York University(NYU)

Hilali1@gmail.com

Alexander Maedche

Karlsruhe Institute of Technology (KIT)

alexander.maedche@kit.edu

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
ANGELA ARISTIDOU, UCL
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

IS Design, Development, and Project Management

Track Title: IS Design, Development, and Project Management

Track Chairs

Geneviève Bassellier

McGill University

genevieve.bassellier@mcgill.ca

James J. Jiang

National Taiwan University

jjjiang@ntu.edu.tw

Thomas Kude

ESSEC Business School

kude@essec.edu

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

IS Implementation and Adoption

Track Title: IS Implementation and Adoption

Track Chairs

Alanah Mitchell

Drake University

alanah.mitchell@drake.edu

Manuel Trenz

University of Goettingen

trenz@uni-goettingen.de

Xiaojun ZHANG

The Hong Kong University of Science and Technology

xiaojunzhang@ust.hk

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

Data Analytics for Business and Societal Challenges

Track Title: Data Analytics for Business and Societal Challenges

Track Chairs

Gene Moo Lee

University of British Columbia

gene.lee@sauder.ubc.ca

Ali Sunyaev

Karlsruhe Institute of Technology

sunyaev@kit.edu

Jing Wang

Hong Kong University of Science and Technology

jwang@ust.hk

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

Digital Innovation, Entrepreneurship, and New Business Models

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

Track Chairs

M. Kathryn Brohman

Queen’s University, Canada

kathryn.brohman@queensu.ca

Zhengrui (Jeffrey) Jiang

Nanjing University, China

zjiang@nju.edu.cn

Lisen Selander

University of Gothenburg, Sweden

Lisen.selander@ait.qu.se

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

Social Media and Digital Collaboration

Track Title: Social Media and Digital Collaboration

Track Chairs

Eva Bittner

bittner@informatik.uni-hamburg.de

Arvind Tripathi

a.tripathi@auckland.ac.nz

Dezhi (Denny) Yin

dezhiyin@usf.edu

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

IS in Healthcare

Track Title: IS in Healthcare

Track Chairs

Miria Grisot

University of Oslo, Norway

miriag@uio.no

Seung Hyun Kim

Yonsei University, Korea

seungkim@yonsei.ac.kr

Tracy Ann Sykes

University of Arkansas, USA

tsykes@walton.uark.edu

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

Governance, Strategy and Value of IS

Track Title: Governance, Strategy and Value of IS

Track Chairs

HENG Cheng Suang

National University of Singapore

hengcs@comp.nus.edu.sg

Christine LEGNER

University of Lausanne

christine.legner@unil.ch

Mani SUBRAMANI

University of Minnesota

subra010@umn.edu

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

Advances in Methods, Theories, and Philosophy

Track Title: Advances in Methods, Theories, and Philosophy

Track Chairs

Dubravka Cecez-Kecmanovic

University of New South Wales

dubravka@unsw.edu.au

Aron Lindberg

Stevens Institute of Technology

aron.lindberg@stevens.edu

Tuure Tuunanen

University of Jyväskylä

tuure@tuunanen.fi

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

User Behavior, Engagement, and Consequences

Track Title: User Behavior, Engagement, and Consequences

Track Chairs

Christy M.K. Cheung

Hong Kong Baptist University

ccheung@hkbu.edu.hk

Lior Fink

Ben-Gurion University of the Negev

finkl@bgu.ac.il

Sandeep Goyal

University of Louisville

Sandeep.Goyal@louisville.edu

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

Online Reviews and Recommendations

Track Title: Online Reviews and Recommendations

Track Chairs:

Khim Yong GOH

National University of Singapore

gohky@comp.nus.edu.sg

Liangfei QIU

University of Florida

liangfei.qiu@warrington.ufl.edu

Steffen Zimmermann

Ulm University

steffen.zimmermann@uni-ulm.de

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

Digital and Mobile Commerce

Track Title: Digital and Mobile Commerce

Track Chairs:

Rodrigo Belo

Rotterdam School of Management (RSM)

Erasmus University Rotterdam

rbelo@rsm.nl

Wonseok Oh

College of Business

Korea Advanced Institute

of Science and Technology

wonseok.oh@kaist.ac.kr

Ramesh Venkataraman

Kelley School of Business

Indiana University

venkat@indiana.edu

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

Service Science

Track Title: Service Science

Track Chairs

Fu-ren Lin (林福仁)

Institute of Service Science, National Tsing Hua University
frlin@iss.nthu.edu.tw

Jens Pöppelbuß

Ruhr-Universität Bochum

jens.poeppelbuss@ruhr-uni-bochum.de

Lysanne Lessard

University of Ottawa

lysanne.lessard@telfer.uottawa.ca

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

IT Policy and Government

Track Title: IT Policy and Government

Track Co-Chairs

Wendy L. Currie

Audencia Business School

wcurrie@audencia.com

Shan Pan

UNSW Business School

shan.pan@unsw.edu.au

Martin Santana

Universidad ESAN

msantana@esan.edu.pe

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

Professional Development Workshop

Track Title: Professional Development Workshop

Track Chairs

Zhiling Guo

Singapore Management University

zhilingguo@smu.edu.sg

Nancy Pouloudi

Athens University of Economics and Business

pouloudi@aueb.gr

Joseph Valacich

University of Arizona

valacich@arizona.edu

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

Title
Abstract (< 100 words)
Organizers: Names, affiliations, e-mail addresses
Introduction / Relevance for IS Research or IS Teaching (< 50 words)
Topic Areas / Presenter: Short description of the sub-topics conveyed – naming who will cover what
Take away (must be different from the above)
Session timing including the format of interaction among presenters and audience
Audience hardware / software requirements – onsite / virtual
Maximum number of participants – onsite / virtual
Organizers’ and presenters’ bio indicating their expertise in the PDW topic
Statement that all presenters are committed to deliver the PDW in a given ICIS time slot
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

Panels

Track Chairs

Sue Brown, University of Arizona, suebrown@arizona.edu

Yongsuk Kim, Sung Kyun Kwan University, yongskim@skku.edu

Isabelle Walsh, SKEMA Business School, isabelle.walsh@skema.edu

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

Track Descriptions

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