Track Descriptions

Track Chairs

Roya GholamiUniversity of Illinois, rghol2@uis.edu

Stefan SeidelUniversity of Liechtenstein, stefan.seidel@uni.li

Anjana SusarlaMichigan State University, asusarla@broad.msu.edu

Track Description

Information systems (IS) are the key change agent of the digital age. By increasing global information processing capacity and global connectivity across both physical and digital entities, information systems provide ample opportunities to address the major problems of our century, including climate change.

First, IS can help individuals, organizations, and our society understand the environmental impact of their practices, thus preparing the ground for reducing the use of resources and energy, avoiding waste and emissions, and implementing the circular economy. Second, IS empower organizations and networks of organizations to implement more environmentally sustainable business processes and supply chains. Third, by connecting physical and digital components, IS provide the foundation for creating increasingly smart (inter)networked systems, such as for smart cities, smart grids, and smart mobility.  Recent advancements in artificial intelligence and autonomous systems as well as the increasing prevalence of platform-based ecosystems promise to further accelerate these developments.

The aim of this conference theme track is to advance the discourse on the role of information systems in the context of implementing a global environmentally sustainable economy. We invite rigorous and relevant studies employing a variety of methods addressing green IS and ecological sustainability. We seek empirical (qualitative and quantitative) studies, theory development studies, as well as interventionist research seeking to develop and evaluate prescriptions for green IS solutions. Sustainability is a problem we must solve.

Topics of interest include, but are not limited to:

  • Artificial intelligence for sustainable development
  • Green data science / sustainability analytics
  • IS to support smart infrastructure
  • IS for a smart grid
  • IS to support the electric vehicle transition
  • Environmental Management Systems
  • IS to support sustainable business processes
  • IS for sustainable decision making
  • IS for sustainable sensemaking
  • Green IS adoption and diffusion
  • Novel forms of organizing for environmental sustainability
  • Green IS in developing countries
  • Platform ecosystems and environmental sustainability
  • Sustainable design in IS

Associate Editors:

  • Abdullah Albizri, Montclair State University, USA
  • Alemayehu Molla, RMIT University, Australia
  • Asli Basoglu, University of Delaware, USA
  • Cathy Dwyer, Pace University, USA
  • Chadi Aoun, Carnegie Mellon University Qatar, Qatar
  • Daniel Veit, University of Augsburg, Germany
  • Jane Webster, Queens University, Canada
  • Janet Toland, Victoria University of Wellington, New Zealand
  • Johann Kranz, Ludwig-Maximilians-University of Munich, Germany
  • Kangkang Qi, Auburn University, USA
  • Leona Chandra Kruse, University of Liechtenstein, Liechtenstein
  • Maric Boudreau, University of Georgia, USA
  • Marina Fiedler, University of Passau, Germany
  • Nigel Melville, University of Michigan, USA
  • Pratyush Bharati, University of Massachusetts Boston, USA
  • Richard T Watson, University of Georgia, USA
  • Rohit Nishant, Universite Laval, Canada
  • Sherah Kurnia, University of Melbourne, Australia
  • Steve Elliot, University of Sydney, Australia
  • Thomas Grisold, University of Liechtenstein, Liechtenstein
  • Thorsten Schoormann, University of Hildesheim, Germany
  • Thorsten Staake, University of Bamberg, Germany
  • Viet Dao, Shippensburg University, USA
  • Yan Li, ESSEC Business School, Singapore

Track Chairs

Christy M.K. CheungHong Kong Baptist University, ccheung@hkbu.edu.hk

Ning NanThe University of British Columbia, ning.nan@sauder.ubc.ca

Jui RamaprasadUniversity of Maryland, jramapra@umd.edu

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

Track Description

Intense business competition, geopolitical uncertainty, social unrest, societal inequity, natural disasters, and disease outbreaks can cause major disruptions to the operations of organizations, and to the lives of individuals and communities. What is remarkable is that all of these entities are increasingly dependent on information systems (IS) to adjust to and recover from such disruptions. For example, flood and wildfire victims have relied on social media to find information about shelter locations and organize disaster relief efforts. Universities and schools have attempted to minimize the disruption from COVID-19 by moving to online teaching platforms. Companies have used video conferencing and virtual teams to sustain productivity when access to office buildings is disrupted. Physicians are engaging in telemedicine to continue to serve their patients, and communities use social platforms to organize. Individuals themselves are engaging with a mind-boggling variety of online platforms to access health care related information and to take care of their mental health by staying in touch with loved ones. Clearly, while we have known that IS are imperative for business success in regular times, what is now forcefully evident is that IS are indispensable  for the resilience of organizations, societies and individuals, during unexpected disruptions. 

This track provides a forum for presenting and discussing original research highlighting the opportunities and challenges related to designing, deploying, and using IS to develop and enable resilience, not only during major disruptions, but also as an ongoing focus of organizing and living. We invite qualitative, quantitative/survey, analytical, computational, data-science, conceptual, design science-oriented, and multi-method submissions that leverage the multiple perspectives of IS toward the goal of resilience.

Topics of interest include, but are not limited to:

  • Creative applications of IS by organizations during major disruptions, including economic and technological disturbances as well as social and political shocks
  • Understanding how organizations develop and implement IS capabilities and strategies for resilience
  • The interplay of organizational and technological views in building and maintaining resilience 
  • Understanding the role of digital transformation and innovation in building resilience in organizational strategies and processes
  • Developing resilience in global and local supply chains
  • Use of social media, mobile devices, and other types of personal technologies by individuals to respond to develop personal well-being, and also to recover from the stress and demands of major disruptions
  • Leveraging of digital platforms by individuals and communities to build resilience in response to major disruptions
  • Adaptation of strategies by digital platforms to address individuals’ needs during times of crises 
  • Creating resilience in governments through the use of IS and developing government policies with respect to IS enabled societal and business resilience.
  • New theoretical perspectives that are specifically suited to study IS for resilience
  • New methods that can handle data collection and analysis challenges associated with resilience during major disruptions 

Associate Editors:

  • Alec Cram, University of Waterloo, Canada
  • Arslan Aziz, University of British Columbia, Canada
  • Bogdan Negoita, HEC Montreal, Canada
  • C Ranganathan, University of Illinois Chicago, USA
  • Cathy Urquhart, Manchester Metropolitan University, UK
  • Christian Maier, University of Bamberg, Germany
  • David Wang, University of Michigan, Dearborn, USA
  • Emre Yetgin, Rider University, USA
  • Hamed Saremi, DePaul University, USA
  • Hillol Bala, Indiana University, USA
  • Jessica Pye, Arizona State University, USA
  • Jochem Hummel, Warwick Business School, UK
  • Jorge Mejia, Indiana University, USA
  • Kyunghee Lee, Wayne State University, USA
  • Lena Waizenegger, Auckland University of Technology, New Zealand
  • Lior Zalmanson, Tel Aviv University, Israel
  • Margunn Aaanestad, University of Adger, Norway
  • Marten Risius, University of Queensland, Australia
  • Nishtha Langer, Rensselaer Polytechnic Institute, USA
  • Peter Buxmann, Technische Universität Darmstadt, Germany
  • Randy YM Wong, NEOMA Business School, France
  • Ruba Aljafari, University of Pittsburgh, USA
  • Shan Wang, University of Saskatchewan, Canada
  • Shawn Ogunseye, Bentley University, USA
  • Sven Laumer, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
  • Tommy KH Chan, Northumbria University, UK
  • Warut Khern-am-nuai, McGill University, Canada
  • Xiao-Liang Shen, Wuhan University, China
  • Yang Chen, Southwestern University of Finance and Economics, China
  • Zach WY Lee, Durham University, UK
  • Zhen Zhu, China University of Geosciences Wuhan, China

Track Chairs

Tilo BöhmannUniversität Hamburg, tilo.boehmann@uni-hamburg.de\

Bin GuBoston University, bgu@bu.edu

Kai-Lung HuiHong Kong University of Science and Technology, klhui@ust.hk

Likoebe MarupingGeorgia State University, lmaruping@gmail.com

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:

  • Aaron Schecter, University of Georgia, USA
  • Abayomi Baiyere, Copenhagen Business School, Denmark
  • Abhijith Anand, University of Arkansas, USA
  • Aleksi Aaltonen, Temple University, USA
  • Carolina Alves de Lima Salge, University of Georgia, USA
  • Christoph Rosenkranz, University of Cologne, Germany
  • Dylan Walker, Boston University, USA
  • He Huang, Chongqing University, China
  • Hyelim Oh, Sogang University, South Korea
  • Jiye Baek, Korea University, South Korea
  • Jong Seok Lee, University of Tennessee Knoxville, USA
  • Kai Spohrer, University of Mannheim, Germany
  • Kathrin Figl, University of Innsbruck, Austria
  • Markus Salo, University of Jyväskylä, Finland
  • Martin Semmann, University of Hamburg, Germany
  • Massimo Magni, Bocconi University, Italy
  • Na Liu, University of Sydney, Australia
  • Niina Mallat, Aalto University, Finland
  • Ohchan Kwon, Hong Kong University of Science and Technology, Hong Kong SAR
  • Paul Drews, Leuphana University, Germany
  • Qian Tang, Singapore Management University, Singapore
  • Quang “Neo” Bui, Rochester Institute of Technology, USA
  • Sagit Bar-Gill, University of Tel Aviv, Israel
  • Tingting Nian, University of California Irvine, USA
  • Wasana Bandara, Queensland University of Technology, Australia
  • Xuan Ye, Boston College, USA
  • Youwei Wang, Fudan University, China
  • Zhitao Yin, Hong Kong University of Science and Technology, Hong Kong SAR

Track Chairs

Jan vom BrockeUniversity of Liechtenstein, jan.vom.brocke@uni.li

Heikki TopiBentley University, htopi@bentley.edu

Rodrigo BeloErasmus University Rotterdam, rbelo@rsm.nl

Track Description

Emerging technologies and trends open up new pedagogical opportunities and enable innovative uses of digital learning environments. Rapidly advancing capabilities in analytics, cloud computing, mobility, and IoT offer the opportunity to not only change what we teach, but how we teach. The COVID-19 outbreak led to an unprecedented change in teaching methods and accelerated the spread of digital learning. Many institutions have expanded their portfolios to include new online offerings. The Digital Learning and IS Curricula track provides an opportunity to exchange conceptual ideas and empirical findings regarding curriculum, pedagogy, pedagogical innovations, and the use of technologies to improve learning, as well as content innovations.

The Digital Learning and IS Curricula track is intended for high‐quality papers related to information systems education, learning environments, and curriculum.

Topics of interest include, but are not limited to:

  • Studies about the impact of COVID-19 
  • Studies on teaching and learning processes in times of COVID-19
  • Studies of digital learning environments
  • Educational technology (learning management systems, e-Learning, virtual/mobile learning, social media, and more)
  • Curriculum development including model curricula
  • Diversity, equity, and inclusion in IS education
  • IS education on emerging topics (analytics, crypto, security, AI, IoT and more) and domains (FinTech, e-Government, healthcare, and more)
  • Incorporating implications and potential consequences of emerging technologies in IS education
  • Value of online/distance education
  • Innovation in pedagogy
  • Use of artificial intelligence-based solutions to support learning
  • Development of faculty and teaching capabilities
  • Learning analytics
  • Theories of learning and IS pedagogy
  • Issues in IS education (global, ethical, social, and more)
  • Interdisciplinary or cross-disciplinary issues in IS education
  • Teaching cases
  • Experiential learning studies
  • Understanding the needs of future employers of IS students
  • Approaches for life-long learning and continuous education for professional development
  • Accreditation and certification

We particularly encourage contributions that build on and contribute to open repositories for Information Systems education, such as the EDUglopedia.org platform, an open encyclopedia for information systems education started and supported by the AIS.

Special notes regarding teaching cases:

  • Teaching cases must include teaching notes when originally submitted, and the teaching notes will be reviewed. Teaching notes will not be included in the ICIS Proceedings, but rather will be provided directly to instructors on request by case authors. Teaching cases may only be submitted to this track.
  • A teaching case must not exceed fourteen (14) single-spaced pages, and the required teaching note must not exceed five (5) single-spaced pages. Both the teaching case and teaching note must conform to the ICIS 2021 submission template. All text, figures, tables, and appendices must be included within the page limit. The cover page, abstract, keywords, and references are excluded from these page limits.

ICIS uses the following criteria for reviewing teaching cases:

  • Case clarity: The case is clearly written and readable for a student audience.
  • Issue identification and development: The key issues in the case are well-developed and identifiable by a student reader.
  • Completeness: The case includes the information necessary for conducting an appropriate analysis of the issue(s) raised.
  • Relevance: The case addresses a topic of importance to IS practice. The students will learn something important from studying it.
  • Interest: The case is presented in an interesting way. It addresses a topic likely to sustain a student’s interest. The instructor will find it interesting to teach.
  • Effectiveness of exhibits: The case exhibits are helpful to the students and useful for an instructor to teach the case.
  • Literature integration: The authors have effectively utilized existing literature (concepts, models, frameworks, news reports, etc.) for teaching the case.
  • Overall utility: The information provided is developed well enough to help an instructor in preparing to teach the case.

Associate Editors:

  • Alan Litchfield, Auckland University of Technology, New Zealand
  • Anoush Margarayan, Copenhagen Business School, Denmark
  • Armin Stein, University of Münster, Germany
  • Axel Winkelmann, University of Würzburg, Germany
  • Barbara D. Klein, University of Michigan-Dearborn, USA
  • Dainis Zegners, RSM Erasmus University, The Netherlands
  • David Green, Governors State University, USA
  • Gary Spurrier, University of Alabama, USA
  • Hannu Salmela, University of Turku, Finland
  • Jan Seruga, Australian Catholic University, Australia
  • Janice Sipior, Villanova University, USA
  • Jason H. Sharp, Tarleton State University, USA
  • Jeffrey Proudfoot, Bentley University, USA
  • Jeffry Babb, West Texas A&M University, USA
  • João Alvaro Carvalho, University of Minho, Portugal
  • Julie E. Kendall, Rutgers University, USA
  • Leigh Mutchlere, James Madison University, USA
  • Martin Matzner, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
  • Paul Leidig, Grand Valley State University, USA
  • Qiwei Han, Nova School of Business and Economics, Portugal
  • Rhonda Syler, University of Arkansas, USA
  • Riana Steyn, University of Pretoria, South Africa
  • Torsten Eymann, University of Bayreuth, Germany
  • Wendy Wang, Trident University, USA
  • Yael Inbar, Tel Aviv University, Israel

Track Chairs

Jaime WindelerUniversity of Cincinnati, Jaime.Windeler@uc.edu

Oliver HinzGoethe University Frankfurt, ohinz@wiwi.uni-frankfurt.de

Ke-Wei HuangNational University of Singapore, huangkw@comp.nus.edu.sg

Emma Coleman,University of the Witwatersrand, emma.coleman@wits.ac.za

Track Description

Technology continues to reshape how work is designed, performed, and managed at individual, organizational and societal levels. The meaning and nature of work has been changing increasingly rapidly in recent years, and the global COVID-19 pandemic has brought about unexpected changes to working patterns that may have lasting implications. Digital transformation has distributed work beyond the boundaries of a singular work ‘place’, with set working hours. Traditional employment arrangements are increasingly contingent, flexible, and dispersed. Exemplars of contemporary approaches to digitalization of work include mobile or remote work, offshoring, outsourcing, globally distributed project work, as well as freelancing on demand, brokered through dedicated platforms such as Mechanical Turk and TaskRabbit. 

Automation and augmentation of work with artificial intelligence are also transforming labor markets. Whole classes of job roles and occupations may become obsolete, while demands for different job roles in other occupations grow at an increasing rate. Many workers will need to adapt their skill portfolios and careers to remain employable. At the same time, the meaning of work is shifting to reflect changes in time, place, and manner of work. 

In recognition of this variety of opportunities and challenges, we welcome high quality papers that take a broad and inclusive perspective addressing the future of work, the changing meaning and nature of work, and what this means for the IS field. We seek submissions based on a diversity of theoretical and methodological approaches that examine the phenomena across any level of analysis, e.g., task, individual, group, organizational, labor market, or societal.

Topics of interest include, but are not limited to:

  • Automation and augmentation of tasks, work and occupations
  • Comparative studies of impacts of digital transformation/the changing nature of work across settings, industries, socio-economic status, geography, culture and institutions
  • Critical views of consequences of new work arrangements on workers and society
  • Design theories for future work environments
  • Digitization and job mobility
  • Digitization and the future of work, workplaces and occupations
  • Economic implications for productivity and efficiency
  • Emerging and shifting portfolio of skills and professional development
  • Future of work in specific industries such as healthcare, education, finance or transportation
  • Impacts of the changing nature of work on careers and patterns of careers
  • Managing skill development and skill transfer from humans to computers 
  • Management of work and workers 
  • Meaning of work and employment 
  • Motivation, career prospects and incentive structure 
  • People analytics and algorithmic management
  • Change to practices and forms of leadership 
  • Structural mechanisms, policy, and regulation to govern and optimize digital work
  • Technology-enabled arrangements for delegating and performing work, sharing economy and peer-to-peer work arrangements
  • Negative effects of technology in the area of future work including work stress, addiction, victimization, surveillance, exclusion, quality of life changes etc.
  • Benefits and downsides of the Gig Economy
  • AI and the fourth industrial revolution

Associate Editors:

  • Benjamin Abdel-Karim, Goethe University Frankfurt, Germany
  • Carina de Villiers, University of Pretoria, South Africa
  • Caroline Khene, De Montfort University, UK
  • Deborah Armstrong, Florida State University, USA
  • Gordon Fletcher, University of Salford, UK
  • Heiko Rossnagel, Fraunhofer IAO, Germany
  • Helen Richardson, Sheffield Hallam University, UK
  • Hemin Jiang, University of Science and Technology of China, China
  • Hossana Twinomurinzi, University of Johannesburg, South Africa
  • Indira Guzman, Trident University, USA
  • Ingrid Erickson, Syracuse University, USA
  • Jin Gerlach, Technische Universität Darmstadt, Germany
  • Katherine Chudoba, Utah State University, USA
  • Keng Siau, Missouri University of Science and Technology, USA
  • Keongtae Kim, Chinese University of Hong Kong, Hong Kong SAR
  • Keumseok Kang, Korea Advanced Institute of Science and Technology, South Korea
  • Kevin Bauer, Leibniz Institute for Financial Research, Germany
  • Marco Marabelli, Bentley University, USA
  • Mary Beth Watson-Manheim, University of Illinois-Chicago, USA
  • Maureen Tanner, University of Cape Town, South Africa
  • Michael Kubach, Fraunhofer IAO, Germany
  • Roman Rietsche, University of St.Gallen, Switzerland
  • Sangwook Ha, BNU-HKBU United International College, China
  • Sara Moussawi, Carnegie Mellon University, USA
  • Steven Sawyer, Syracuse University, USA
  • Tim Weitzel, University of Bamberg, Germany
  • Timm Teubner, Technische Universität Berlin, Germany
  • Yu-Chen Yang, National Sun Yat-Sen University, Taiwan
  • Yuanyue Feng, Shenzhen University, China

Track Chairs

Hala Annabi, University of Washington, hpannabi@uw.edu

Jason Chan,University of Minnesota, jchancf@umn.edu

Chee Wei (David) PhangUniversity of Nottingham Ningbo China, CheeWei.Phang@nottingham.edu.cn

Track Description

The proliferation of technology into various aspects of our lives creates a world where Information Systems (IS) have a non-trivial impact on our society, economy, and environment. More often than not, technologies that are created for a positive impact, can produce unintended ill effects and unexpected spillovers. For instance, the introduction of ride sharing services intended to enhance the convenience of personal transportation has created unwarranted traffic jams (and pollution) in certain locations as a result of its enormous demand. It is also true that riding with strangers can be risky, though under some conditions, a point-to-point ride service can be safer for riders. More recently, heated debates over coded biases in black-box algorithms calls to question the ethics of how data and recommendation systems are used and created. Prior to this debate, the convenience of personalization and business value generated from these systems had largely been taken for granted. Given the multifaceted nature of technological impacts and the rapid rate of digitalization, our understanding of the social impact of technologies often lags behind their introduction and widespread use. 

The IS community is in a unique position to uncover and shed light on the effects that information technologies have on our society. This track calls for papers that study both the intended/unintended societal impacts of information systems. Studies in this track go a long way to inform regulators, practitioners, and users. 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 on theory development will be considered. Various dimensions, including social, economic, cultural or 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:

  • Innovative technological initiatives to address persistent societal problems
  • Societal consequences of emerging technologies
  • Algorithmic biases in social media, search engines, and AI
  • Theoretical perspectives and/or empirical insights on the (un)intended social consequences of IS
  • 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 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
  • IS for a greener society, government, and/or industry
  • Use of digital technologies to promote sustainable consumption behavior and sustainable solutions made possible through information systems

Associate Editors:

  • Alain Chong, University of Nottingham Ningbo Campus, China
  • Amy Connolly, James Madison University, USA
  • Carmen Leong, University of New South Wales, Australia
  • Cheng Yi, Tsinghua University, China
  • Cheng Zhang, Fudan University, China
  • Chunmian Ge, South China University of Technology, China
  • Connie Barber, Southern Illinois University Edwardsville, USA
  • Elizabeth Baker, Virginia Commonwealth University, USA
  • Grace Fox, Dublin City University, Ireland
  • Hyeokkoo Eric Kwon, Nanyang Technological University, Singapore
  • Jenny Pu University of Nottingham Ningbo China
  • Jing Gong, Lehigh University, USA
  • Jingjing Li, University of Virginia, USA
  • Julia Kroenung, EBS Universität, Germany
  • Karen Stendal, University of South-Eastern Norway, Norway
  • Min-Seok Pang, Temple University, USA
  • Panos Adamopoulos, Emory University, USA
  • Sam Zaza, Middle Tennessee State University, USA
  • Shihong Xiao, Hong Kong University of Science and Technology, Hong Kong SAR
  • Vilma Todri, Emory University, USA
  • Xuan Bi, University of Minnesota, USA
  • Yash Babar, University of Winsconsin-Madison, USA
  • Yicheng Song, University of Minnesota, USA
  • Yicheng Zhang, Huazhong University of Science and Technology, China
  • Yingjie Zhang, University of Texas Dallas, USA
  • Zhongyun (Phil) Zhou, Tongji University, China
  • Zixiu Guo, University of New South Wales, Australia

Track Chairs 

Miguel Godinho de Matos, Catolica Lisbon School of Business and Economics, miguel.godinhomatos@ucp.pt

 

Matthew L. Jensen, University of Oklahoma, mjensen@ou.edu

Seung Hyun Kim, Yonsei University, seungkim@yonsei.ac.kr 

Juhee KwonCollege of Business, City University of Hong Kong, juhee.kwon@cityu.edu.hk

Track Description

As companies attempt to enhance the value of their services to customers, a commonly used strategy involves using more user data to provide better targeting, personalization, and product recommendations. However, user data collection and storage come with heavy corporate responsibilities towards data security, user privacy, and ethical data usage. Companies increasingly face the non-trivial task of striking a balance between executing data analytics initiatives and ensuring sufficient security/privacy protection. 

Since the first computer worm written by Robert Morris in 1989 and the first viruses in the 1990s, online attack vectors have grown in magnitude and sophistication. People, data, and things are targets: credit card attacks, data breaches in both private and public organizations, and instances of cybercrime have grown through the years. While there is general agreement over the need to secure systems and protect data, many current protective measures are ineffective, can reduce individual users and businesses’ productivity, and may systematically discriminate against some user groups.

This track aims to encourage papers that focus on bridging cybersecurity, privacy, and ethics research in IS. At the same time, consider cutting edge research in each of the three areas jointly or separately. Submitted manuscripts can draw on any theoretical background (including but not limited to psychology, economics, sociology, criminology, or computational sciences) and methodological approaches (analytical work, design science, econometric analysis, experiments, qualitative studies, and so forth).

 Topics of interest include, but are not limited to:

  • Insider threat
  • Infrastructure protection
  • Privacy and confidentiality
  • Security and privacy for the internet of things
  • Ethics of cybersecurity
  • Information security policy and compliance
  • Data leaks
  • Digital forensics
  • The dark web
  • Surveillance and its impact on security, privacy, and ethics in organizations
  • Computer crimes and solutions
  • Societal impacts of IS security and privacy
  • Access control systems
  • Security, privacy, and ethics in the context of natural hazards/ disasters
  • Malware
  • Fake news
  • Protection of digital payment systems

 Associate Editors:

  • A. J. Burns, Baylor University, USA
  • Alexandra Durcikova, University of Oklahoma, USA
  • Allen Johnston, University of Alabama, USA
  • Alvin (Chung Man) Leung, City University of Hong Kong, Hong Kong SAR
  • Anthony Vance, Temple University, USA
  • Byungwan Koh, Korea University, South Korea
  • Christian Peukert, HEC Lausanne, Switzerland
  • Chul Woo Yoo, Florida Atlantic University, USA
  • Chulho Lee, Korea Advanced Institute of Science and Technology, South Korea
  • Clay Posey, University of Central Florida, USA
  • Dezhi Wu, University of South Carolina, USA
  • Gene Moo Lee, University of British Columbia, Canada
  • Greg Moody, University of Nevada Las Vegas, USA
  • Idris Adjerid, Virginia Tech, USA
  • Jae Ung (Jake) Lee, Louisiana Tech University, USA
  • John D’Arcy, University of Delaware, USA
  • Jongwoo (Jonathan) Kim, University of Massachusetts Boston, USA
  • Joseph Buckman, Kansas State University, USA
  • Kane Smith, University of North Carolina Greensboro, USA
  • Keehyung Kim, Chinese University of Hong Kong, Hong Kong SAR
  • Laura Brandimarte, University of Arizona, USA
  • Luis Aguiar, University of Zurich, Switzerland
  • Mark Keith, Brigham Young University USA
  • Matthew J. Hashim, University of Arizona, USA
  • Michael Kummer, University of East Anglia, UK
  • Milan Miric, University of Southern California, USA
  • Qiuhong Wang, Singapore Management University, Singapore
  • Robert Crossler, Washington State University, USA
  • Sangmi Chai, Ewha Womans University, South Korea
  • Sheng-Pao Shih, Tamkang University, Taiwan
  • Simon Trang, University of Göttingen, Germany
  • Sungjune Park, University of North Carolina, USA
  • Taekyung Kim, Kwangwoon University, South Korea
  • Veronica Marotta, University of Minnesota, USA
  • Victor Benjamin, Arizona State University, USA
  • Yeolib Kim, Ulsan National Institute of Science and Technology, South Korea
  • Youngsok Bang, Yonsei University, South Korea

Track Chairs

Hailiang ChenUniversity of Hong Kong, chen19@hku.hk

Jungpil HahnNational University of Singapore, jungpil@nus.edu.sg

Virpi TuunainenAalto University, virpi.tuunainen@aalto.fi 

Track Description

Blockchain, distributed ledger technology (DLT), and Fintech are disruptive technologies that drive the digital transformation of 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, 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:  

  • Blockchain and distributed ledger technology 
  • Fintech / Blockchain-enabled business models 
  • Cryptocurrencies and digital money
  • Initial Coin Offering (ICO) and Securitized Token Offering (STO)
  • Asset management with blockchain-based tokenization 
  • Distributed and decentralized organization, coordination, and governance  
  • Policy, legal, and regulation issues related to blockchain-based applications
  • Data management and data governance issues related to blockchain
  • Blockchain as a driver of social innovation and world benefit
  • Smart contracts
  • Interplay between blockchain and other emerging technologies such as big data, artificial intelligence, and Internet of Things
  • Fintech business models and analytics
  • Crowdfunding
  • Robo-advising, algorithmic trading, high-frequency trading, and social trading
  • FinTech regulation, RegTech, and regulatory sandboxes
  • InsurTech
  • Cybersecurity issues
  • Interface between finance and information systems

Associate Editors:  

  • Abhishek Ray, George Mason University, USA
  • Bin Zhang, University of Arizona, USA
  • Christoph Müller-Bloch, IT University of Copenhagen, Denmark
  • Daegon Cho, Korea Advanced Institute of Science and Technology, South Korea
  • George Kuk, Nottingham Trent University, UK
  • Gerhard Schwabe, University of Zurich, Switzerland
  • Horst Treiblmaier, Modul University Vienna, Austria
  • Jiaqi Yan, Nanjing University, China
  • Jonas Valbjorn Andersen, IT University of Copenhagen, Denmark
  • Juho Lindman, University of Gothenburg, Sweden
  • Kun Chen, Southern University of Science and Technology, China
  • Liudmila Zavolokina, University of Zurich, Switzerland
  • Nadine Kathrin Ostern, Philipps University of Marburg, Germany
  • Nils Urbach, Frankfurt University of Applied Sciences, Germany
  • Noyan Ilk, Florida State University, USA
  • Peng Xie, California State University East Bay, USA
  • Raffaele Fabio Ciriello, University of Sydney, Australia
  • Ravishankar Sharma, University of Canterbury, New Zealand
  • Sung-Byung Yang, Kyung Hee University, South Korea
  • Sunghan Ryu, Shanghai Jiao Tong University, China
  • Wei Chen, University of Arizona, USA
  • Weifeng Li, University of Georgia, USA
  • Xiaofan Li, National University of Singapore, Singapore
  • Yi Yang, Hong Kong University of Science and Technology, Hong Kong SAR
  • Yingda Lu, University of Illinois at Chicago, USA
  • Yue Feng, Hong Kong Polytechnic University, Hong Kong SAR
  • Zach Zhizhong Zhou, Tongji University, China
  • Zhiyi Wang, University of Colorado at Boulder, USA

Track Chairs

Jan OndrusESSEC Business School, ondrus@essec.edu

Sunil WattalTemple University, swattal@temple.edu

Chuan-Hoo TanNational University of Singapore, tancho@comp.nus.edu.sg

Zhiling GuoSingapore Management University, zhilingguo@smu.edu.sg

Track Description

Topics related to the sharing economy, platforms and crowds are not only among the most widely researched areas studied by IS scholars, but also have deep economic and social implications. This track invites cutting-edge and novel research that addresses issues relating to these topics. 

The sharing economy leverages platforms and other infrastructures to allow individuals to exchange underutilized resources/assets for monetary gains at very low transaction costs. Some widely known user-owned asset platforms include Airbnb, Uber, Didi, and Grab. Some other platforms, for example, facilitate sharing and renting of company-owned assets such as CitiBike, Ofo, Bird, and Lime.

Multi-sided platforms, which connect varied actors throughout the world for little marginal cost, facilitate transactions and interactions in a variety of contexts: transportation, housing and hospitality, education, dating, digital commerce, and product review sites. These platforms have revolutionized industries, for better and for worse, with both promising and discouraging economic and societal impacts. 

Crowd-based models of content production, innovation, funding among others leverage the capability of digital platforms and infrastructures to connect distributed and heterogeneous individuals and organizations for a variety of economic, social, and societal purposes. 

We welcome papers that examine questions from a diverse set of research perspectives — including a variety of methodological approaches, levels of analyses, and theoretical orientation – for the above three broad topics. We encourage work that crosses disciplinary boundaries, and that provides us a novel understanding of the sharing economy, the multi-sided platforms, and crowd-based models. 

Topics of interest include, but are not limited to:  

  • Novel theories and perspective about sharing economy, multi-sided platforms, and crowds economy
  • External vs. internal enterprise use of platforms and crowds
  • Platform-based business models that facilitate the sharing economy, collaborative consumption, and crowd-enabled models
  • New methods for the study of platforms, sharing economy and crowds
  • Critical review and ethical perspectives related to the sharing economy, crowd-based models, and platforms
  • Reputation, reviews and trust in shared economy and collaborative consumption
  • Entrepreneurship in platform and crowd-based models
  • Social, legal, technological, geo-political, and economic implications of platforms, sharing, and crowds

Associate Editors:  

  • Attila Marton, Copenhagen Business School, Denmark
  • Avijit Sarkar, University of Redlands, USA
  • Avinash Collis, University of Texas at Austin, USA
  • Barney Tan, University of Sydney, Australia
  • Brad Greenwood, George Mason University, USA
  • Chen Liang, University of Connecticut, USA
  • Chih-Hung Peng, National Chengchi University, Taiwan
  • Chris Parker, American University, USA
  • Dan Ma, Singapore Management University, Singapore
  • Dandan Qiao, National University of Singapore, Singapore
  • Ermira Zifla, University of New Hampshire, USA
  • Eun Ju Jung, George Mason University, USA
  • Eusebio Scornavacca, University of Baltimore, USA
  • Felix Ter Chian Tan, University of New South Wales, Australia
  • Gordon Burtch, University of Minnesota, USA
  • Hila Lifshitz-Assaf, New York University, USA
  • Hua (Jonathan) Ye, University of Waterloo, Canada
  • Ioanna Constantiou, Copenhagen Business School, Denmark
  • Jama D Summers, University of Tennessee Knoxville, USA
  • Jens Foerderer, Technical University of Munich, Germany
  • Jiahui Mo, Nanyang Technological University, Singapore
  • Jian Huang, Nanjing University, China
  • Jianqing Chen, The University of Texas at Dallas, USA
  • Jin Li, Xi’an Jiaotong University, China
  • Leila Hosseini, Temple University, USA
  • Lele Kang, Nanjing University, China
  • Ling Ge, University of North Texas, USA
  • Liqiang Huang, Zhejiang University, China
  • Manuel Wiesche, Technical University of Dortmund, Germany
  • Maximilian Schreieck, Technical University of Munich, Germany
  • Mengxiang Li, Hong Kong Baptist University, Hong Kong SAR
  • Ofer Arazy, University of Haifa, Israel
  • Raveesh Mayya, New York University, USA
  • Seth Benzell, Massachusetts Institute of Technology, USA
  • Shuting Wang, City University of New York, USA
  • Spyros Angelopoulos, Tilburg University, The Netherlands
  • Taha Havakhor, Temple University, USA
  • Thomas Kude, ESSEC Business School, France
  • Wencui Han, University of Illinois at Urbana Champaign, USA
  • Yi Liu, Rennes School of Business, France
  • Yu Tong, Zhejiang University, China
  • Yuanyuan Chen, University of Alabama, USA
  • Yuxin Huang, Tongji University, China
  • Zhuoxin (Allen) Li, Boston College, USA

Track Chairs

Lionel P. Robert Jr.University of Michigan, lprobert@umich.edu 

Douglas C. DerrickUniversity of Nebraska at Omaha, dcderrick@unomaha.edu 

Shuk Ying (Susanna) HoThe Australian National University, susanna.ho@anu.edu.au 

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 system teammates.  These new human-computer / human-robot  interactions represent an evolution in how work is going to be done.  This track explores how this next evolution of team composition impacts individual and team dynamics. We are also interested in understanding behavioral and institutional factors affecting technology adoption and/or usage as well as the implementation processes and approaches that help generate value through robotic interfaces and related technology in organizations. Additionally, we welcome papers that examine usage and implications of robotic computing and its synergistic interactions with other technologies, such as artificial intelligence and machine learning. Building robots that can interact socially and in a robust way with humans is the main goal of human computer / robot interaction research. Human robot interactions appear in a variety of contexts including but not limited to e-commerce, m-commerce, labor, organizations, and human interactions with smart technologies.

We invite research that advances our understanding of human computer and robot interactions and interfaces at various levels. We particularly welcome controversial pieces that will challenge an audience’s thinking regarding taken-for-granted assumptions, models, and research practices. This track welcomes traditional, mixed-method as well as innovative methodologies.

Topics of interest include, but are not limited to:

  • Aesthetic and affective computing
  • Design and evaluation of end-user computing in work versus non-work environment, and in developing versus developed economies
  • Embedded IT applications including robotics, AI systems, intelligent homes, spatial systems
  • Feature-level IT adoption and use
  • HCI and robotics interface design issues with new devices and applications, such as smartphones, social networking sites, m-commerce, and pervasive computing
  • Human information seeking behavior on the digital platforms
  • Human robot interactions
  • Human automated or autonomous vehicle interactions
  • Human interactions with autonomous and intelligent systems
  • Human-centeredness and user-centeredness in technology design, development and use
  • Impact of interfaces on attitudes, behavior, performance, perception, learning, and productivity
  • Interfaces for information visualization and analytics
  • Interfaces for secure web and deception detection
  • Interfaces for a wide variety of PC-based, web-based and mobile-based applications for communication, social interactions, and commercial exchanges
  • Interfaces that facilitate relationship building between human and technological artifacts
  • Novel human-robot interaction theories, techniques, and methodologies
  • Personalization and adaptive interfaces
  • Psychological, social and cultural aspects of human computer and robot interactions
  • Robotic interface/interaction designs and evaluations
  • Usability engineering, metrics, and methods for user interface assessment
  • Usage and post-adoption behaviors, such as infusion, exploitation, and exploration of robot-like interfaces and technology 
  • Individual differences that impact collaboration with and acceptance of robot partners
  • Usability and design research for human collaboration with automated teammates
  • Studies and frameworks that examine trust in, satisfaction with, and expectations of robotic partners 
  • Design features for automated teammates that improve human collaboration with them

Associate Editors:

  • Aaron Elkins, San Diego State University, USA
  • Anushia Inthiran, University of Canterbury, New Zealand
  • Ben Choi, Nanyang Technological University, Singapore
  • Casey Pierce, University of Michigan, USA
  • Christoph Schneider, IESE Business School, Spain
  • Dezhi (Denny) Yin, University of South Florida, USA
  • Frank Chan, ESSEC Business School, France
  • Gabrielle Peko, The University of Auckland, New Zealand
  • Gohar Khan, University of Waikato, New Zealand
  • Greta Polites, Kent State University, USA
  • Iris Junglas, College of Charleston, USA
  • Irwin Brown, University of Cape Town, South Africa
  • Isabella Seeber, Grenoble Ecole de Management, France
  • Jingjun (David) Xu, City University of Hong Kong, Hong Kong SAR
  • Jiyong Park, University of North Carolina at Greensboro, USA
  • Joel Elson, University of Nebraska at Omaha, USA
  • Kevin Kuan, University of Sydney, Australia
  • Libo Liu, University of Melbourne, Australia
  • Lingyao Yuan, Iowa State University, USA
  • Markus Weinmann, RSM Erasmus University, The Netherlands
  • Michael Chau, University of Hong Kong, Hong Kong SAR
  • Patrick Hung, Ontario Tech University, Canada
  • Ryan Schueztler, Brigham Young University, USA
  • Tabitha James, Virginia Polytechnic Institute and State University, USA
  • Weiquan Wang, City University of Hong Kong, Hong Kong SAR
  • Xi Jessie Yang, University of Michigan, USA
  • Xinwei Wang, The University of Auckland, New Zealand
  • Yi-Chun (Chad) Ho, George Washington University, USA

Track Chairs

Ann MajchrzakUniversity of Southern California, majchrza@marshall.usc.edu

Kevin Hong, University of Houston, yilihong@uh.edu

Saonee SarkerUniversity of Virginia, saonee.sarker@comm.virginia.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 users as well. By “socially meaningful multi-sided outcomes,” we mean that the value to the users 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 into 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:

  • Antonio Diaz Andrade, Auckland University of Technology, New Zealand
  • Amber Young, University of Arkansas, USA
  • Anastasia Sergeeva, VU Amsterdam, The Netherlands
  • Arisa Shollo, Copenhagen Business School, Denmark
  • Arvind Karunakaran, McGill University, Canada
  • Cristina Alaimo, Luiss University, Italy
  • Eivor Oborn, Warwick Business School, UK
  • Gretta Corporaal, Oxford University, UK
  • Harris Kyriakou, IESE Business School, Spain
  • Ian Ho, Pennsylvania State University, USA
  • Jana Gallus, University of California at Los Angeles, USA
  • Jannis Kallinikos, London School of Economics and Political Science, UK
  • Jeff Mullins, University of Arkansas, USA
  • Jing Peng, University of Connecticut, USA
  • Joao Baptista, Warwick Business School, UK
  • Kevin Boudreau, Northeastern University, USA
  • Lauren Rhue, University of Maryland, USA
  • Ling Xue, Georgia State University, USA
  • Manos Gkeredakis, IESE Business School, Spain
  • Mareike Moehlmann, Bentley University, USA
  • Mari Klara, Copenhagen Business School, Denmark
  • Mark Grimes, University of Houston, USA
  • Michael Prietula, Emory University, USA
  • Michael Zaggl, Aarhus University, Denmark
  • Mohammed Alyakoob, University of Southern California, USA
  • Philipp Tuertscher, VU Amsterdam, The Netherlands
  • Reza Mousavi, University of Virginia, USA
  • Ricky Tan, Tulane University, USA
  • Roger Chiang, University of Cincinnati, USA
  • Sabine Brunswicker, Purdue University, USA
  • Sam Ransbotham, Boston College, USA
  • Sarah Lebovitz, University of Virginia, USA
  • Sebastian Schuetz, Florida International University, USA
  • Shu He, University of Connecticut, USA
  • Stella Pachidi, Cambridge University, UK
  • Uttara Ananthakrishnan, University of Washington, USA
  • Xin Xu, Hong Kong Polytechnic University, Hong Kong SAR
  • Xunhua Guo, Tsinghua University, China
  • Xunyi Wang, Baylor University, USA
  • Yao Sun, University of South Florida, USA
  • Yuheng Hu, University of Illinois at Chicago, USA

Track Chairs

Julia KotlarskyThe University of Auckland, j.kotlarsky@auckland.ac.nz

Liangfei QiuUniversity of Florida, liangfei.qiu@warrington.ufl.edu

Sri KudaravalliHEC Paris, kudaravalli@hec.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.  Finally, 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 differentiated to 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. 

Given that ISD 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 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 management often occur. We welcome all types of research, including empirical, analytical, conceptual, and simulation-based studies that address social and technical aspects of IS design, development, and project 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
  • 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
  • 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
  • Role of stakeholders in IS design, development and implementation
  • IS project management capabilities, competence, and maturity
  • Leadership challenges and politics in IS project management
  • Novel theoretical perspectives and research approaches that broaden or question our understanding of IS design, development and project management
  • IS and AI design in healthcare 
  • IoT aspects in IS development and project management

Associate Editors:

  • Aleksandre Asatiani, University of Gothenburg, Sweden
  • Bart van den Hooff, Vrije University Amsterdam, The Netherlands
  • Brian Lee, Penn State University, USA
  • Carlo Gabriel Porto Bellini, Federal University of Paraíba, Brazil
  • Christian Meske, Freie Universität Berlin, Germany
  • Daniel Gozman, University of Sydney, Australia
  • Dorit Nevo, Rensselaer Polytechnic Institute, USA
  • Esko Penttinen, Aalto University, Finland
  • Ilan Oshri, The University of Auckland, New Zealand
  • Jacob Nørbjerg, Copenhagen Business School, Denmark
  • Jaideep Ghosh, Shiv Nadar University, India
  • Jan Mendling, Vienna University of Economics and Business, Austria
  • Karl Werder, University of Cologne, Germany
  • Kyung Sun (Melissa) Rhee, University of Florida, USA
  • Lanfei Shi, University of Virginia, USA
  • Mali Senapathi, Auckland University of Technology, New Zealand
  • Mohammad Moeini Aghkariz, Warwick Business School, UK
  • Niam Yaraghi, University of Miami, USA
  • Oliver Krancher, IT University of Copenhagen, Denmark
  • Shengli Li, Peking University, China
  • Timothy Olsen, Gonzaga University, USA
  • Torgeir Dingsøyr, Norwegian University of Science and Technology, Norway
  • Venugopal Balijepally, Oakland University, USA
  • Weidong Xia, Florida International University, USA
  • Xiaowei Mei, Hong Kong Polytechnic University, Hong Kong SAR
  • Yang Pan, Tulane University, USA
  • Yinan Yu, University of Memphis, USA
  • Zhuojun Gu, University of Texas at Arlington, USA

Track Chairs

Geneviève BassellierMcGill University, genevieve.bassellier@mcgill.ca 

Shirish C. SrivastavaHEC Paris, srivastava@hec.fr

Jacqueline Corbett, Université Laval, Jacqueline.corbett@fsa.ulaval.ca

Hee-Woong Kim, Yonsei University, kimhw@yonsei.ac.kr 

Track Description

The unrelenting diffusion of formal and informal information systems (IS) impacts all aspects of our work, lives, and society. Especially, COVID-19 has necessitated the widespread implementation and diffusion of new IS and digital technologies within a very short period of time. We now live in a world deeply infused with, and shaped by, digital technologies, yet many of our core perspectives and theories derive from a time when computers were new and alien to the world. Organizations, societies, groups, and individuals now face many new promises, and new dilemmas, questions, and uncertainties. IS have a great potential to transform the quality of our lives in numerous ways. People are getting more and richer information for decision-making; organizations can leverage the power of IS to foster innovations that better serve customers and the society. Societies and nations are getting increasingly interconnected, and exciting cross-culture sharing is occurring. However, individuals and organizations are challenged to adapt to a world being dramatically transformed by the infiltration of digital technologies and are subject to new kinds of digital threats and vulnerabilities. IS are not only changing the economic and political landscape, but also the overall social fabric, giving rise to many uncertainties regarding what the future may hold for us.

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 the COVID-19 pandemic) at individual, 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 welcome papers that use novel theories 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:

  • Individual, societies, group, or organizational IT/IS adoption decisions
  • Feature-level IT/IS adoption and use
  • Use and post-adoption behaviors
  • Global or cross-cultural studies of IT/IS implementation, adoption, and post-adoption
  • Factors influencing IT/IS adoption and use at micro and macro levels
  • Theories, concepts, and tools of IT adoption and implementation
  • Novel philosophical/theoretical/methodological perspectives to tackle the issues of the implementation, adoption and use of digital technologies
  • User innovation with digital technologies and IS
  • IS implementation and adoption against COVID-19
  • Infusion 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 and climate change
  • Impact of intelligent systems on the nature of work and the human workforce
  • 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 Editors:

  • Andreas Eckhardt, University of Innsbruck, Austria
  • Angsana Techatassanasoontorn, Auckland University of Technology, New Zealand
  • Anuragini Shirish, IMT Business School, France
  • Cindy Riemenschneider, Baylor University, USA
  • Dan J. Kim, University of North Texas, USA
  • Divinus Oppong-Tawiah, York University, Canada
  • Gitte Tjornehoj, IT University of Copenhagen, Denmark
  • Haris Krijestorac, HEC Paris, France
  • Isam Faik, University of Western Ontario, Canada
  • Jean Robert Kala Kamdjoug, Université Catholique d’Afrique Centrale, Cameroon
  • Jean-Gregoire Bernard, Victoria University of Wellington, New Zealand
  • Jennifer Claggett, Wake Forest University, USA
  • JJ Po-An Hsieh, Georgia State University, USA
  • Katharina Ebner, University of Hagen, Germany
  • Kenan Degirmenci, Queensland University of Technology, Australia
  • Kyung Young Lee, Dalhousie University, Canada
  • Michael Kennedy, University of British Columbia, Canada
  • Mustapha Cheikh-Ammar, Université Laval, Canada
  • One-Ki Daniel Lee, University of Massachusetts Boston, USA
  • Poonacha K. Medappa, Tilburg University, The Netherlands
  • Ryad Titah, HEC Montreal, Canada
  • Sachithra Lokuge, RMIT University, Australia
  • Sameh El Natour, Ryerson University, Canada
  • Samuel Fosso-Wamba, Toulouse Business School, France
  • Shalini Chandra, SP Jain School of Global Management, Singapore
  • Shan Liu, Xi’an Jiaotong University, China
  • Sharon Coyle, The University of Sydney, Australia
  • Sophia Duan, RMIT University, Australia
  • Sung-Hyuk Park, Korea Advanced Institute of Science and Technology (KAIST), South Korea
  • Thomas Huber, ESSEC Business School, France
  • Weiling Ke, Southern University of Science and Technology, China
  • Yi-Te Chiu, Victoria University of Wellington, New Zealand
  • Yongsuk Kim, Sungkyunkwan University, South Korea
  • Young Hoon Chang, Beijing Institute of Technology, China

Track Chairs

Pei-yu (Sharon) Chen, Arizona State University, peiyu.chen@asu.edu

InduShobha Chengalur-SmithUniversity at Albany – SUNY, shobha@albany.edu

T. Ravichandran, Rensselaer Polytechnic Institute, ravit@rpi.edu

Bo Sophia Xiao, University of Hawaii at Manoa, boxiao@hawaii.edu

Track Description

This track is dedicated to research that applies and/or develops novel data science and analytics theories, algorithms, and methods to identify and solve 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 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:

  • Work transformation (machines replacing humans, machines complement humans)
  • Work-life balance
  • 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
  • AI and analytics implications for the competitive dynamics among firms
  • Information visualization and presentation of complex, controversial data
  • Information quality, information sharing and trust issues
  • Healthcare data issues, e.g. privacy, personalization and information sharing
  • Healthcare delivery issues, e.g. telehealth and at-home testing
  • Data analytics addressing racial and gender bias
  • Data-driven policies, e.g. to address climate change
  • Analytics that address societal issues such as the digital divide and polarization
  • Analytical solutions for the survival of small businesses
  • 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
  • Applications of crowd-sourcing for enhanced predictive analytics
  • Societal aspects around data (data monetization, information businesses, and data products)

Associate Editors:

  • Ayoung Suh, Sungkyunkwan University, South Korea
  • Ben Liu, City University of Hong Kong, Hong Kong SAR
  • Burcu Bulgurcu, Ryerson University, Canada
  • Devendra Potnis, University of Tennessee Knoxville, USA
  • Eliot Rich, University at Albany, USA
  • Fujie Jin, Indiana University, USA
  • Gautam Pant, University of Iowa, USA
  • Isaac Vaghefi, Pace University, USA
  • Jingjing Zhang, Indiana University, USA
  • Kang Zhao, University of Iowa, USA
  • Kaveh Abhari, San Diego State University, USA
  • Kuang-Yuan Huang, Colorado State University – Pueblo, USA
  • Nachiketa Sahoo, Boston University, USA
  • Namjoo Choi, University of Kentucky, USA
  • Naveen Kumar, University of Oklahoma, USA
  • Pranay Jinna, University at Albany, USA
  • Prasanna Karhade, University of Hawaii at Manoa, USA
  • Raymond Lau, City University of Hong Kong, Hong Kong SAR
  • Ruilin Zhu, Lancaster University, UK
  • Saggi Nevo, University at Albany, USA
  • Shun-Yang Lee, Northeastern University, USA
  • Shun Ye, George Mason University, USA
  • Tomer Geva, Tel-Aviv University, Israel
  • Unal Tatar, University at Albany, USA
  • Wendy Günther, Vrije University Amsterdam, The Netherlands
  • Xiao Liu, Arizona State University, USA
  • Yi-Ying Chang, National Taiwan University of Science and Technology, Taiwan
  • Ying Liu, University of Massachusetts Amherst, USA
  • Yinghui (Catherine) Yang, University of California Davis, USA
  • Zhan (Michael) Shi, Arizona State University, USA

Track Chairs

Yulin FangCity University Hong Kong, ylfang@gapps.cityu.edu.hk 

Jan Recker, University of Hamburg, jan.christof.recker@uni-hamburg.de

Susan ScottLondon School of Economics, s.v.scott@lse.ac.uk

Yong TanUniversity of Washington, ytan@uw.edu

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, robots are reshaping and disrupting established ways of doing things. 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. Bots, robots, and autonomous technologies abound – even in some unexpected contexts. New platform-based forms of digital organizing have emerged that take advantage of crowdsourcing, crowdfunding, peer-to-peer, and virtual or augmented reality. Practices of valuation have been transformed through the rise of social media such as Twitter, Facebook, and TripAdvisor; Innovation processes themselves are becoming less bounded, more open, less predictable and more fluid. New forms of venture creation are emerging due to the influence of novel digital technology on entrepreneurship. 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 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, design research in information systems has a tradition of leveraging digital technologies for novel forms of activities.

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, empirical (qualitative, quantitative, and computationally-intensive), and design-oriented research. We particularly welcome cross-disciplinary or cross-paradigmatic approaches that can generate novel insights to advance scholarly understanding and practical utility. 

Topics of interest include, but are not limited to:

  • Digital innovation
  • Digital entrepreneurship
  • Digital product development
  • New venture creation and technology ventures
  • Data-driven innovation
  • New business models and digitalization of business models
  • Digitalization of innovation
  • Digital change management
  • Digital twins
  • Digital transformation
  • Innovation processes involving next-generation technologies, including: artificial intelligence, autonomous tools/robots, augmented/virtual reality, distributed ledger technology, Internet of Things. 

Associate Editors:

  • Angela Lu, City University of Hong Kong, Hong Kong SAR
  • Behnaz Bojd, University of California, Irvine, USA
  • Ben Eaton, Copenhagen Business School, Denmark
  • Carsten Sorensen, London School of Economics and Political Science, UK
  • Claire Ingram Bogusz, Stockholm School of Economics, Sweden
  • Frederik von Briel, University of Queensland, Australia
  • Fredrik Svahn, University of Gothenburg, Sweden
  • Gregory Vial, HEC Montreal, Canada
  • Hannes Rothe, Freie Universität Berlin, Germany
  • Hossein Ghasemkhani, Purdue University, USA
  • Huifang Li, University of Science and Technology of China, China
  • Jingmei Zhou, Renmin University, China
  • John Dong, Groningen University, The Netherlands
  • Jonny Holmström, Umeå University, Sweden
  • Julian Lehmann, Vrije Universiteit Amsterdam, The Netherlands
  • Junming Yin, University of Arizona, USA
  • Kathyn Brohman, Queen’s University, Canada
  • Lauri Wessel, European University Viadrina, Germany
  • Lin Hao, Fordham University, USA
  • Mary Darking, University of Brighton, UK
  • Mingwen Yang, University of Washington, USA
  • Moksh Matta, Nanyang Technological University, Singapore
  • Nianxin Wang, Jiangsu University of Science and Technology, China
  • Ning Su, University of Western Ontario, Canada
  • Petter Nielsen, University of Oslo, Norway
  • Philipp Hukal, Copenhagen Business School, Denmark
  • Roser Pujadas, London School of Economics and Political Science, UK
  • Shahryar Doosti, Chapman University, USA
  • Shunyuan Zhang, Harvard University, USA
  • Stavros Polykarpou, Exeter University, UK
  • Tat Koon Koh, Hong Kong University of Science and Technology, Hong Kong SAR
  • Tingting Song, Shanghai Jiao Tong University, China
  • Xueyan Yin, City University of Hong Kong, Hong Kong SAR
  • Yingfei Wang, University of Washington, USA
  • Yinglei Wang, Acadia University, Canada
  • Zixuan Meng, University of Texas at Dallas, USA

Track Chairs

Cheng Suang HengNational University of Singapore, hengcs@comp.nus.edu.sg

Steven L. JohnsonUniversity of Virginia, steven@virginia.edu

Onook OhUniversity of Colorado Denver, onookoh@gmail.com 

Tuan Q. Phan, University of Hong Kong, tphan@hku.hk

Track Descriptions

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 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 a primary source of news, a main platform for establishing and maintaining social connections, 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, magnification of hate speech, cybercrime, harvesting of personal data, and the emergence of filter bubbles.

Digital collaboration is now a mainstream approach to accomplishing a wide variety of objectives. With recent pandemic events, digital collaboration has been made prominent. From dyads and small groups to large-scale collectives and organizations, digital platforms are the primary means for facilitating collaboration. Digital collaboration takes many forms in a wide range of domains including open innovation, crowd work, distributed teams, knowledge sharing communities, citizen science, and work-from-home (WFH) schemes. These technologies 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 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:

  • Assessing the information content of social media data
  • 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 and digital collaborations
  • Promoting resilience and integration of work-from-home into organizations
  • Management of social media and digital collaboration
  • Theoretical and empirical studies of collaboration across multiple platforms
  • Novel theories about social media and digital collaboration and their effects on individuals, organizations, and societies
  • Novel designs of social media and digital collaboration to encourage information diffusion, knowledge sharing or better collaboration dynamics
  • Novel algorithms for the facilitation of social media interactions and digital collaboration
  • Novel qualitative or quantitative methods of assessing social media and digital collaboration
  • Novel methods of social media analytics
  • New method development (e.g., econometric or data-science methods) to study and better harness the business potential of social media and digital collaboration
  • Prediction and nowcasting using social media data
  • Reputation and trust in social media and digital collaboration
  • Impact of social media on information exposure and consumption
  • Negative aspects of social media, digital collaboration and their mitigation strategies, methods or designs
  • Social media and digital collaboration to combat environmental crises
  • Social media and digital collaboration for political participation and societal changes

Associate Editors:

  • Alex Wang, Peking University, China
  • Aron Lindberg, Stevens Institute of Technology, USA
  • Brent Kitchens, University of Virginia, USA
  • Dan Ding, Southwestern University of Finance and Economics, China
  • Ding Li, Nanjing University, China
  • Duy Dang-Pham, RMIT University Vietnam, Vietnam
  • Ersin Dincelli, University of Colorado Denver, USA
  • Hani Safadi, University of Georgia, USA
  • Jacqueline Pike, Duquesne University, USA
  • Jin Chen, University of Nottingham Ningbo, China
  • Jingguo Wang, University of Texas Arlington, USA
  • Jinyoung Min, Chosun University, South Korea
  • Jordana George, Texas A&M University, USA
  • Marko Niemimaa, University of Jyvaskyla, Finland
  • Matthias Trier, Paderborn University, Germany and Copenhagen Business School, Denmark
  • Navid Aghakhani, University of Tennessee Chattanooga, USA
  • Peijian Song, Nanjing University, China
  • Peter Gray, University of Virginia, USA
  • Prasanta Bhattacharya, Agency for Science, Technology and Research, Singapore
  • Rachel Chung, The College of William and Mary, USA
  • Ronald Ramirez, University of Colorado Denver, USA
  • Sapumal Ahangama, University of Moratuwa, Sri Lanka
  • Serkan Ada, Karamanoğlu Mehmetbey Üniversitesi, Turkey
  • Shan Huang, The University of Hong Kong, Hong Kong SAR
  • Sherae Daniel, University of Cincinnati, USA
  • Shiying Lim, National University of Singapore, Singapore
  • Sunghun Chung, Santa Clara University, USA
  • Tianshu Sun, University of Southern California, USA
  • U. Yeliz Eseryel, East Carolina University, USA
  • Xi Chen, Zhejiang University, China
  • Yen-Yao Wang, Auburn University, USA
  • Yi Ding, Warwick Business School, UK
  • Yi Shen, Soochow University, China
  • Yingda Zhai, National University of Singapore, Singapore
  • Zhepeng Li, York University, Canada
  • Zhewei Zhang, University of Warwick, UK
  • Zhijie Lin, Tsinghua University, China
  • Zhiping Walter, University of Colorado Denver, USA

Track Chairs

Aaron BairdGeorgia State University, abaird@gsu.edu 

Indranil Bardhan, The University of Texas at Austin, Indranil.bardhan@mccombs.utexas.edu 

Abhay MishraIowa State University, abhay@iastate.edu 

Monica Chiarini TremblayWilliam & Mary, monica.tremblay@mason.wm.edu

Track Description

Health information systems (HIS) are a broad class of applications that use a variety of advanced information, mobile, social media and wearable technologies to collect, store, manage, process and transmit health information. HIS can aid many interdependent stakeholders, such as patients, care providers, payers, policymakers, technology vendors, platform creators, and researchers. Digitization enabled through HIS has the potential 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, more research is needed to examine the role of information technologies in a variety of care settings, with the move toward value-based care and developing a better understanding of the impact of regulatory changes, such as system interoperability, information blocking, population health, accountable care, and telehealth adoption. Further, the global pandemic due to the widespread outbreak of COVID-19 has upended traditional healthcare systems and care delivery processes, and has led to greater adoption of new types of payment models and technology adoption. 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 delivering 21st century 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:

  • Diffusion, adoption, assimilation and governance of health information technologies
  • Organizational, operational, clinical and financial implications of HIS use
  • Personalized or evidence-based healthcare
  • Data analytics and prediction modeling for healthcare
  • IOT, wearable devices and their impacts on lifestyle, diets and exercise habits
  • Mobile health applications and their impacts
  • Telehealth applications and their impacts
  • User-generated content and its impact on healthcare practices and providers
  • Technology-enabled care coordination
  • New methods of value-based care delivery and payment
  • Safety, security and privacy of health information
  • Design of health information technologies
  • Patient-centered and chronic healthcare management
  • Electronic data sharing and transfer using health information exchanges
  • Public health informatics, policy and regulations
  • Clinical, public health and genomic data integration
  • Big data, machine learning and artificial intelligence for healthcare
  • Impact of health IT on COVID-19 health outcomes
  • Systems interoperability and healthcare performance
  • Impact of health IT on population health and accountable care models and outcomes
  • Predictive and prescriptive analytics models for healthcare

Associate Editors:

  • Amrita George, Marquette University, USA
  • Bengisu Tulu, Worcester Polytechnic Institute, USA
  • Christopher Harle, University of Florida, USA
  • Christina Serrano, Colorado State University, USA
  • Christopher B. Califf, Western Washington University, USA
  • Ciara Heavin, University College Cork, Ireland
  • Daniel Fürstenau, Freie Universität Berlin, Germany
  • Debra VanderMeer, Florida International University, USA
  • Diane Strong, Worcester Polytechnic Institute, USA
  • Elizabeth Davidson, University of Hawaii at Manoa, USA
  • Emre Demirezen, University of Florida, USA
  • Haijing Hao, Bentley University, USA
  • Hemant Jain, University of Tennessee Chatanooga, USA
  • Joshua R. Vest, Indiana University, USA
  • Langtao Chen, Missouri University of Science and Technology, USA
  • Lina Bouyad, Florida International University, USA
  • Liwei Chen, University of Cincinnati, USA
  • Lucy Yan, Indiana University, USA
  • Mirou Jaana, University of Ottawa, Canada
  • Nirup Menon, George Mason University, USA
  • Ofir Ben Assuli, Ono Academic College, Isreal
  • Praveen Pathak, University of Florida, USA
  • Raj Sharman, University at Buffalo, USA
  • Rich Klein, Florida International University, USA
  • Roopa Raman, University of Dayton, USA
  • Sandra Richardson, University of Memphis, USA
  • Sezgin Ayabakan, Temple University, USA
  • Sriram Somanchi, University of Notre Dame, USA
  • Sweta Sneha, Kennesaw State University, USA
  • Tala Mirzaei, Florida International University, USA
  • Till Winkler, Copenhagen Business School, Denmark
  • Tobias Kowatsch, ETH Zurich, Switzerland
  • Tobias Mettler, University of Lausanne, Switzerland
  • Trent Spaulding, Appalachian State University, USA
  • Wei Wei, University of Houston Clearlake, USA
  • Wenli Zhang, Iowa State University, USA
  • Xiao Fang, University of Delaware, USA
  • Ya Zhou, Xiamen University, China
  • Yichen Cheng, Georgia State University, USA
  • Youyou Tao, Loyola Marymount University, USA
  • Yu-Kai Lin, Georgia State University, USA

Track Chairs

Rahul Dé, Indian Institute of Management Bangalore, rahul@iimb.ac.in 

Satish KrishnanIndian Institute of Management Kozhikode, satishk@iimk.ac.in 

Jan Marco LeimeisterUniversity of St.Gallen, janmarco.leimeister@unisg.ch

Chee-Wee TanCopenhagen Business School, ct.digi@cbs.dk

Track Description 

Advances in digital technology has culminated in new, and more sophisticated, nuanced forms of services. The Internet of Things (IoT) is one such digital technology, which by rendering the world around us to be better connected and more responsive, has given rise to novel forms of service innovations that blur the distinction between the digital and physical world. IoT denotes the network of physical devices—“things” connected to the internet, all collecting and exchanging data via actuators, embedded sensors, software, or other technologies. Blending artificial intelligence, big data analytics, cloud computing, and mobile technologies, these devices range from individual wearables to intelligence household gadgets to cutting-edge industrial applications that allow seamless communication among people, processes, and things. With the proliferation in the number of connected IoT devices, the data generated by these devices is growing exponentially, opening up promising avenues of research on ways to collect, store, model, process, analyze, apply, and secure the massive volume of data for generating insights to guide the development of smart services. It is hence unsurprising that IoT is projected to have a widespread impact on the increasingly service-based economy by transforming business strategies, operations, security, service provision, supply chains, as well as many other aspects of digital servicing.

In combination with the emergence of smart services, digital government and smart cities are becoming much more prevalent. Smart cities refer to an urban environment where citizens’ daily activities (work, school, safety, and leisure) experience significant enhancement over previous standards facilitated by modern information technologies. These improvements span multiple dimensions ranging from economic to governmental to socio-political, to name a few. In this sense, deriving and gaining insights into how cities can extract value from context-aware data elicited through digital technologies (e.g., IoT) for both citizens and governments has become pivotal for developing capabilities to quickly react to and rebound from unprecedented situations like the global COVID-19 pandemic. With governments worldwide going digital, new forms of value co-creation in citizen participation as well as service development and delivery are emerging within and across citizens and governments.

We welcome submissions of all research types, including conceptual and empirical studies that address social and technical aspects of IoT, Smart Cities, Services, and Government. 

Topics of interest include, but are not limited to:

  • IoT platform architecture, governance, and interaction
  • Assessing and realizing business value of IoT
  • Business models and processes for harnessing IoT in the development of smart services
  • Design concepts of IoT and associated technical challenges such as interoperability and reliability
  • Opportunities and challenges brought about by smart automobiles, gadgets, and homes
  • Artificial intelligence, big data analytics, and cloud computing in IoT (incl. industrial IoT), 
  • Challenges in managing IoT data to ensure provenance, privacy, and security
  • Organizational readiness and capabilities for harnessing the benefits of IoT innovations
  • Interactions among human agents, computing, data, and “things”
  • Innovation and sustainability in smart cities
  • Digital government strategy, policy, implementation, and best practices
  • Digital government and civic engagement
  • Data-driven government, open data, and open government
  • Innovation and value co-creation in the public sector
  • Service innovation, service systems, and service quality
  • Citizen involvement in service co-development and performance
  • Opportunities and challenges of unprecedented circumstances including socio-political, economic, and cultural disruptions on service access and provision
  • Role of citizen involvement in the context of smart cities
  • Design of smart cities to address the needs of migrants and marginal citizens
  • Managing aspects of surveillance and privacy in digital government

Associate Editors:

  • Aaron Cheng, London School of Economics and Political Science, UK
  • Abhijeet Ghoshal, University of Illinois Urbana Champaign, USA
  • Abhipsa Pal, Indian Institute of Management Kozhikode, India
  • Adrija Majumdar, Indian Institute of Management Ahmedabad, India
  • Albert Fei Liu, Copenhagen Business School, Denmark
  • Amandeep Dhir, University of Agder, Norway
  • Amany Elbanna, Royal Holloway University of London, UK
  • Amit Prakash, IIIT Bangalore, India
  • Andreas Janson, University of Kassel, Germany
  • Ashish Kumar Jha, Trinity College Dublin, Ireland
  • Benjamin van Giffen, University of St. Gallen, Switzerland
  • Chris Maurer, University of Virginia, USA
  • Christoph Peters, University of Kassel, Germany
  • Eric T. K. Lim, University of New South Wales, Australia
  • Eva Bittner, University of Hamburg, Germany
  • Fangfang Hou, University of Nottingham Ningbo, China
  • Giri Kumar Tayi, SUNY at Albany, USA
  • Hongxiu Li, Tampere University, Finland
  • Ivo Blohm, University of St. Gallen, Switzerland
  • Jang Bahadur Singh, Indian Institute of Management Tiruchirappalli, India
  • Jocelyn Cranefield, Victoria University of Wellington, New Zealand
  • June Wei, University of West Florida, USA
  • Junhui Jiang, South China University of Technology, China
  • Jyotishka Ray, Miami University, USA
  • Lusi Yang, University of Arizona, USA
  • Manmohan Aseri, University of Pittsburgh, USA
  • Manuel Trenz, University of Göttingen, Germany
  • Mi Zhou, University of British Columbia, Canada
  • Miloslava Plachkinova, Kennesaw State University, USA
  • Neena Pandey, Indian Institute of Management Visakhapatnam, India
  • Priyanga Gunarathne, University of Pittsburgh, USA
  • Rony Medaglia, Copenhagen Business School, Denmark
  • Sachin Kamble, EDHEC Business School, France
  • Saji K. Mathew, Indian Institute of Technology Madras, India
  • Sandeep Goyal, University of Louisville, USA
  • Sarah Oeste-Reiss, University of Kassel, Germany
  • Shankhadeep Banerjee, Indian Institute of Management Bangalore, India
  • Shaoxiong Fu, Nanjing Agricultural University, China
  • Siddhartha Sharma, Indiana University, USA
  • Stephanie Lee, University of Washington, USA
  • Sujeet Sharma, Indian Institute of Management Tiruchirappalli, India
  • Swanand Deodhar, Indian Institute of Management Ahmedabad, India
  • Vidushi Pandey, Indian Institute of Management Kozhikode, India
  • Vigneswara Ilavarasan, Indian Institute of Technology Delhi, India
  • Wing Kuen Eric See-To, Lingnan University, Hong Kong SAR
  • Yuan Sun, Zhejiang Gongshang University, China
  • Yulia Sullivan, Baylor University, USA

Track Chairs

Wai Fong BohNanyang Technological University, AWFBoh@ntu.edu.sg

Carol OuTilburg University, carol.ou@tilburguniversity.edu

M.N. RavishankarLoughborough University, M.N.Ravishankar@lboro.ac.uk

Track Description

Our society is advancing rapidly with successive technological breakthroughs. Developments like artificial intelligence (AI), Internet of Things (IoT), blockchain, and digital platforms have opened up opportunities for innovation. At the same time, they have created challenges relating to the governance, propagation and strategic use of technology. Both public and private sectors seek new ways and strategies to navigate an increasingly complex environment involving new technologies.  There is an increasing need for research to provide insights into how organizations should formulate strategies and govern in order to gain the most value out of information systems (IS) and communication technologies.  

For example, industry 4.0 with machine learning enables firms to maximize operational efficiencies to the extreme and further augment strategic agility. Commercialization of AI offers a completely new range of business opportunities, rendering competitive landscapes even more turbulent and dynamic than before. 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 firms related to security and complicating both the governance of IT and assessment of value from corporate systems. Workarounds, where employees deviate from corporate expectations to use systems in specific ways, have emerged as a major challenge, yet they also constitute an opportunity to work in more effective and efficient ways. Finally, firms utilize digital technologies to eliminate structural bottlenecks that fundamentally limit supplies or demands enabling new ways of working that create more value for a variety of stakeholders. 

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

Topics of interest include, but are not limited to:

  • Re-conceptualization of IT governance, strategy, and value 
  • Governance, strategy, and value of IS in crisis and pandemic situations
  • IS demand-shaping for strategic alignment
  • IS strategy and governance processes
  • Risks of the “alignment trap” and impacts on IS value
  • Appraisal of value in advanced digital technologies
  • Issues in assessing the value of IS 
  • Compliance-agility dilemma of IS
  • Impact of digitalization on IS strategy and governance
  • Governance and strategy of digital transformation 
  • Governance of strategic IT outsourcing and digital business ecosystem
  • Governance of digital infrastructures enabled by emerging technologies such as AI, IoT, blockchain, cloud computing, and machine learning
  • Governance of IT projects including traditional and open source software development
  • Management of globally distributed IT projects
  • Leadership in IT governance and IS strategy
  • Critical reflections, challenges, novel theorization, and innovative practice of IT governance, strategy, and valuation 

Associate Editors:

  • Adrian Yeow, Singapore University of Social Sciences, Singapore
  • Andreas Alexiou, Tilburg University, The Netherlands
  • Calvin Chan, Singapore University of Social Sciences, Singapore
  • Crispin Coombs, Loughborough University, UK
  • Dimitra Petrakaki, University of Sussex, UK
  • Donald Wynn, University of Dayton, USA
  • Eleni Lioliou, Queen Mary University of London, UK
  • Federico Iannacci, University of Sussex, UK
  • Gunwoong Lee, Korea University, South Korea
  • Julien Malaurent, ESSEC Business School, France
  • Kent Marett, Mississippi State University, USA
  • Kim Huat Goh, Nanyang Technological University, Singapore
  • Louie Wong, Nagoya University of Commerce & Business, Japan
  • Luminita Hurbean, West University of Timisoara, Romania
  • M.S. Sandeep, University of New South Wales, Australia
  • Marjolein van Offenbeek, University of Groningen, The Netherlands
  • Martin Wiener, Technische Universität Dresden, Germany
  • Matthias Söllner, University of Kassel, Germany
  • Nripendra Rana, University of Bradford, UK
  • Pierre-Emmanuel Arduin, Paris-Dauphine University, France
  • Priya Seetharaman, Indian Institute of Management Calcutta, India
  • Silvia Masiero, University of Oslo, Norway
  • Stan Karanasios, University of Queensland, Australia
  • Stefan Henningsson, Copenhagen Business School, Denmark
  • Terence Saldanha, University of Georgia, USA
  • Thompson Teo, National University of Singapore, Singapore
  • Tingru Cui, University of Melbourne, Australia
  • Uri Gal, University of Sydney, Australia
  • Yan Lin, Shenzhen University, China
  • Yan Yu, Renmin University, China
  • YoungKi Park, George Washington University, USA

Track Chairs

Xinxin Li, University of Connecticut, xinxin.li@uconn.edu

Emmanuel Monod, Shanghai University of International Business and Economics and IPAG Business School, monod@suibe.edu.cn

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

Track Description

Scientific fields do not only develop cumulatively, but rather through constant challenging of widely taken for granted beliefs underlying cumulative research tradition. An important aspect of any scientific field is to ensure that its ideas can withstand scrutiny from the members of own and other scientific communities. Such activity is important for IS community to ensure that the approaches we rely on to build on our research, sometimes over years or decades, are on solid grounds and leading the IS community to progress in the right direction. Such scrutiny can reveal weaknesses, which future research can improve, call for debate on criticized approaches, or inspire development of new approaches. This critical scrutiny can focus on any part of IS research, including the fundamental beliefs on theories, methods, IS philosophy and the role of IS in solving important practical and societal problems. Against this background, the track “Advances in Theories, Methods and Philosophy” invites submissions aimed at challenging fundamental assumptions in IS methods, philosophy or theories and proposing new approaches to advance IS research. This track not only serves as the forum for challenging debates with well-grounded arguments, but also invites new advances regarding theory, methods, or philosophy.

Topics of interest include, but are not limited to:

Theory topics, examples of which include:

  • Novel theories or theorization for emerging phenomena or trends in IS 
  • Philosophy of science versus theory in IS 
  • Advancing conceptualization of concepts associated with a scientific theory 
  • Advancing or critique of the underlying philosophy for mechanism-based explanations, beyond the classical opposition between variance and process models 
  • Debate on the need for new theoretical contribution in IS, meta accounts on theory, theory contextualization in IS research, the need for IS specific or IS unique theories, or the ways theories are used in IS 
  • Challenging the meaning of scientific explanation or scientific prediction in IS (e.g., explanatory model or theory in IS does not actually explain, or qualitative research lacks impact on research or practice) 
  • Issues related to the use of reference theories in IS (e.g., not recognizing the underlying assumptions of borrowed theories and their implications for IS, or at the opposite “re-inventing the wheel” in IS)

Methodology topics, examples of which include:

  • Advancing existing research methods to address methodological challenges 
  • Novel methodological approaches that combine and integrate diverse methods 
  • Critique of existing methods or methodological practices used in IS 
  • Unveiling unrecognized methodological assumptions underlying some method used in IS 
  • Novel approaches to engage with practice and show “the road to relevancy” 
  • New classification for research methods in IS 
  • Proposing a new research method for IS

Philosophy topics, examples of which include:

  • Critical analysis of the distinction between “IS philosophies” such as positivism, interpretivism and critical realism, or some of their individual tenet
  • Arguing for, or against, some concept in IS research (e.g., why “richness” is, or is not, important in, say, qualitative research, or why “phenomenon” is always assumed to exist) 
  • Explaining and advancing what some often-unrecognized philosophical tenets (e.g., underdetermination, theory-ladenness of observation, the social determination of science) imply for IS research
  • Advancing or critique of the underlying philosophical underpinnings for some IS research approaches, as they are used in IS 
  • Generalizability or transferability of findings in different methods 
  • Argumentation errors in IS research 
  • Challenging some concept that is regarded as well-known in IS, but is actually ill-defined 

Associate Editors:

  • Alain Claude Tambe Ebot, City University of New York, USA
  • Aggeliki Tsohou, Ionian University, Greece
  • Arunabha Mukhopadhyay, Indian Institute of Management Lucknow, India
  • Daniel Schlagwein, University of Sydney, Australia
  • Devinder Thapa, University of Agder, Norway
  • Hong Guo, University of Notre Dame, USA
  • Jiayin Qi, SUIBE University, China
  • Jing Wang, Hong Kong University of Science and Technology, Hong Kong SAR
  • Karl-Heinz Kautz, RMIT University, Australia
  • Liz Teracino, IMD Lausanne, Switzerland
  • Lizhen Xu, Georgia Institute of Technology, USA
  • Marios Kokkodis, Boston College, USA
  • Mijalche Santa, Saint Cyril and Methodius University, North Madeconia
  • Mikko Rönkkö, University of Jyväskylä, Finland
  • Mingfeng Lin, Georgia Institute of Technology, USA
  • Nik Hassan, University of Minnesota Duluth, USA
  • Sabine Khalil, ICD Business School Paris, France
  • Shirley Gregor, Australian National University, Australia
  • Wenjing Duan, George Washington University, USA
  • Yan Huang, Carnegie Mellon University, USA

Track Chairs

Kaushik DuttaUniversity of South Florida, duttak@usf.edu

Ni (Nina) HuangUniversity of Houston, nihuang@uh.edu

Stacie PetterBaylor University, Stacie_Petter@baylor.edu

Juliana SutantoLancaster University, j.sutanto@lancaster.ac.uk

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 encourage it, and their subsequent effects and consequences (both beneficial and adverse) at the individual, group, organizational, and societal levels as well as the intersection across levels. Research that examines less-explored areas is especially encouraged. We welcome papers that employ a variety of theories, perspectives, and methodologies (whether qualitative, quantitative, theoretical, design science or simulation-based, conducted in the field or the lab).

Topics of interest include, but are not limited to:

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

Associate Editors:

  • Amjad Fayoumi, Lancaster University, UK
  • Anatália Saraiva Martins Ramos, Federal University of Rio Grande do Norte, Brazil
  • Andrew Schwarz, Louisiana State University, USA
  • Antino Kim, Indiana University Bloomington, USA
  • Antoine Harfouche, Université Paris Nanterre, France
  • Aravinda Garimella, University of Illinois at Urbana–Champaign, USA
  • Bao Yang, Shanghai Jiao Tong University, China
  • Brian Han, University of Illinois at Urbana-Champaign, USA
  • Christian Matt, University of Bern, Switzerland
  • Christophe Elie-Dit-Cosaque, University of Lorraine, France
  • Flavio Horita, Federal University of ABC, Brazil
  • Grace Gu, Boston College, USA
  • Hemang Subramanian, Florida International University, USA
  • Hongchang Wang, University of Texas at Dallas, USA
  • JaeHwuen Jung, Temple University, USA
  • Jessie Pallud, Ecole de Management Strasbourg, France
  • Jiayin Zhang, Tsinghua University, China
  • Jie-Mein Goh, Simon Fraser University, Canada
  • Jingchuan Pu, Pennsylvania State University, USA
  • Jinyang Zheng, Purdue University, USA
  • José L. Roldán, University of Seville, Spain
  • Laurie Giddens, Southern Illinois University Edwardsville, USA
  • Lei (Michelle) Wang, Pennsylvania State University, USA
  • Lior Fink, Ben-Gurion University of the Negev, Israel
  • Luning Liu, Harbin Institute of Technology, China
  • Manjul Gupta, Florida International University, USA
  • Martin Santana, ESAN University, Peru
  • Melody Zou, Warwick Business School, UK
  • Mochen Yang, University of Minnesota, USA
  • Nargis Pervin, Indian Institute of Technology Madras, India
  • Norman Johnson, University of Houston, USA
  • Qianzhou Du, Nanjing University, China
  • Qiqi Jiang, Copenhagen Business School, Denmark
  • Randall Minas, University of Hawaii at Manoa, USA
  • Saman Bina, Baylor University, USA
  • Wen Wen, University of Texas at Austin, USA
  • Xiaodan Yu, University of International Business and Economics, China
  • Xiaoying Xu, South China University of Technology, China
  • Xue (Jane) Tan, Indiana University Bloomington, USA
  • Yixin Lu, George Washington University, USA
  • Yong (Jimmy) Jin, Hong Kong Polytechnic University, Hong Kong SAR
  • Zhijun Yan, Beijing Institute of Technology, China
  • Zike Cao, Zhejiang University, China

Track Chairs

Khim Yong GohNational University of Singapore, gohky@comp.nus.edu.sg

Sumeet GuptaIndian Institute of Management Raipur, sumeetgupta@iimraipur.ac.in

Fiona NahMissouri University of Science and Technology, nahf@mst.edu

Dongming XuUniversity of Queensland, d.xu@business.uq.edu.au

Track Description

The contemporary and ongoing diffusion of digital and mobile technologies such as cloud computing, mobile computing, social media, digital platforms, data analytics, artificial intelligence (AI), blockchain and distributed ledger technology, generate new possibilities for digital and mobile commerce, i.e., buying and selling of goods and services enabled and facilitated by digital and mobile technologies. These technologies support various business-level activities, such as marketing (e.g., pricing, promotion), supply chain management (e.g., demand forecasting, inventory management), and order fulfilment (e.g., shipping logistics), as well as various customer activities at all touchpoints throughout their buying journey, such as purchase recommendation, content creation, and negotiation. This track is interested in papers that enhance knowledge of the design, implementation, and evaluation of emerging digital and mobile technologies in various commercial contexts, e.g., business-to-business and business-to-consumer commerce and related applications. 

Digital and mobile technologies are not limited to facilitating buyer and seller transactions; rather, they are also changing the form and boundary of a firm and introducing new business opportunities. For example, mobile devices are changing many aspects of marketing, advertising, operations, product management and introducing new business models for companies. With the emergence of big data that can be used to inform business decisions, the global penetration of AI and automation, as well as increasing adoption of mobile devices and technologies by consumers and businesses alike, opportunities to study the organizational aspects of digital and mobile business continue to expand. This calls for the development of relevant empirical and theoretical research into the managerial challenges faced by digitally connected enterprises and the innovation of new business models, processes, products, and services supported by an increasing integration of digital and mobile technologies with new organizational practices and new consumer trends. 

This track welcomes papers that improve our understanding of the technical, behavioral, design, strategic and economic issues associated with Digital and Mobile Commerce. It encompasses studies of IT-enabled transactions between consumers, businesses, and other organizations, as well as the use of digital and mobile technologies for commerce within and across organizations. We welcome submissions from all IS traditions and methodological approaches (e.g., analytical work, experiments, qualitative studies, design science, econometric analyses, and so forth).

Topics of interest include, but are not limited to:

  • Auctions and pricing mechanisms in e-business
  • Artificial intelligence in digital and mobile commerce
  • Big data analytics in digital and mobile commerce
  • Business, data and process modeling in intra- and inter-organizational commerce
  • Digital infrastructure in digital and mobile commerce 
  • Entrepreneurship, novel business models and new marketplace created by the use of digital and mobile technologies
  • Emerging technology and online/mobile consumer behaviors
  • Information goods and digital marketplaces
  • IT-enabled operation and supply chain management
  • IT strategy and risks in managing digitally connected enterprise
  • Mobile commerce, mobile marketing, and location-based services
  • Recommendation, personalization, and service innovation using digital and mobile technologies
  • Social commerce, and collaborative consumption
  • Trust, privacy and security issues in digital and mobile commerce

Associate Editors:

  • Alan Ran Zhang, City University of Hong Kong, Hong Kong SAR
  • Arpan Kumar Kar, Indian Institute of Technology Delhi, India
  • Beibei Li, Carnegie Mellon University, USA
  • Camille Grange, HEC Montréal, Canada
  • Cecil Chua, Missouri University of Science and Technology, USA
  • Chen Jin, National University of Singapore, Singapore
  • Dongwon Lee, Hong Kong University of Science and Technology, Hong Kong SAR
  • Fujun Lai, University of Southern Mississippi, USA
  • Heshan Sun, University of Oklahoma, USA
  • Jose Benitez, Rennes School of Business, France
  • Juho Hamari, Tampere University of Technology, Finland
  • Jun Shen, University of Wollongong, Australia
  • Khaled Hassanein, McMaster University, Canada
  • Kuanchin Chen, Western Michigan University, USA
  • Ling Zhao, Huazhong University of Science and Technology, China
  • Milena Head, McMaster University, Canada
  • Mincong Tang, Beijing Jiaotong University, China
  • Nan Chen, National University of Singapore, Singapore
  • Netta Iivari, University of Oulu, Finland
  • Qingliang Wang, Northwestern Polytechnical University, China
  • Rajhans Mishra, Indian Institute of Management Indore, India
  • Ricardo Buettner, Aalen University, Germany
  • Saeed Akhlaghpour, University of Queensland, Australia
  • Samadrita Bhattacharya, Indian Institute of Management Udaipur, India
  • Samrat Gupta, Indian Institute of Management Ahmedabad, India
  • Shun Cai, Xiamen University, China
  • So-Hyun Lee, Xi’an Jiaotong University, China
  • Stanley Kok, National University of Singapore, Singapore
  • Stefan Morana, Saarland University, Germany
  • Valerie Bartelt, University of Denver, USA
  • Wei He, Texas Tech University, USA
  • Xi Zhao, Xi’an Jiaotong University, China
  • Xin Luo, University of New Mexico, USA
  • Xue Yang, Nanjing University, China
  • Xuebin Cui, Nanjing University, China
  • Xusen Cheng, Renmin University of China, China
  • Ying Zhang, University of Auckland, New Zealand
  • Yongjin Park ,City University of Hong Kong, Hong Kong SAR
  • Yoon Han, Harbin Institute of Technology, China
  • Yuan Li, University of Tennessee, USA

Panels, Professional Development Workshops and Paper-a-Thon

Track Chairs

Sunil Mithas, University of South Florida, USA, smithasusf@gmail.com

James Y. L. Thong, Hong Kong University of Science and Technology, Hong Kong SAR, jthong@ust.hk

Eric Zheng, University of Texas at Dallas, USA, ericz@utdallas.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.

Panel Proposal Page Limit Requirements

The panel proposal must not exceed eight (8) single-spaced pages (all inclusive) and must conform to the ICIS 2021 submission template. Proposers who want to include a video clip or similar to their submission must embed the link to the video in the pdf of the submission.

Associate Editors:

  • Amit Mehra, University of Texas at Dallas, USA
  • Armin Heinzl, University of Mannheim, Germany
  • Choon Ling Sia, National Taiwan University, Taiwan
  • Hartmut Hoehle, University of Mannheim, Germany
  • Hui Xiong, Rutgers University, USA
  • Jonathan Whitaker, University of Richmond, USA
  • Shan Ling Pan, University of New South Wales, Australia
  • Wonseok Oh, Korea Advanced Institute of Science and Technology, South Korea
  • Xinlin Tang, Florida State University, USA

Track Chairs

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

Sudha Ram, University of Arizona, sram@email.arizona.edu

Pankaj SetiaIndian Institute of Management (IIM) Ahmedabad, pankajsetia@iima.ac.in

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 to be used in classes for IS education in a hands-on manner.

Required Elements of PDW Proposals

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

Review Criteria

– Topic: The PDW has the potential to draw a large audience

Organizer and Presenter Expertise: Organizers and presenters exhibit requisite expertise in the topic/technique

Take Away and Learning Experience: The PDW provides clear take-ways and an active learning experience

PDW Proposal Page Limit

The PDW proposal (all inclusive) must not exceed five (5) pages and must conform to the ICIS 2021 submission template.

Associate Editors:

  • Gondy Leroy, University of Arizona, USA
  • Huimin Zhao, University of Wisconsin-Milwaukee, USA
  • Indranil Bose, Indian Institute of Management Calcutta, India
  • Mariana Andrade-Rojas, Nanyang Technological University, Singapore
  • Paolo Spagnoletti, LUISS University, Italy
  • Susanne Strahringer, Technische Universität Dresden, Germany

Track Chairs

Hanna KrasnovaUniversity of Potsdam, krasnova@uni-potsdam.de

Robert W. GregoryUniversity of Miami, rwg54@miami.edu

Feng JuanTsinghua University, juan.feng@sz.tsinghua.edu.cn

Track Description

The Paper-a-thon was piloted at ICIS 2017 and—based on positive feedback from participants, mentors, and journal editors—has been refined and repeated at every ICIS since. The goal of this “paper hackathon” is to facilitate new research collaborations, help scholars develop their research ideas while making new professional connections, and—for the most promising projects—to accelerate a publication review process.

The Paper-a-thon begins with an intense two-day working session where researchers are organized into interest-related project teams to collaborate under the mentorship of prominent IS scholars. This initial two-day workshop phase concludes with each group pitching their research projects to a panel of journal editors, who will select up to three papers to be presented on the last day of ICIS. After ICIS concludes, one or more of the presented papers may be invited for a fast-tracked review process for possible publication in a top journal. 

Pre-ICIS: Applying — If the event is appealing to you and you can commit to attending in full, you are highly encouraged to apply—there are no restrictions on who can apply to the Paper-a-thon. The application process includes participation in a survey in order to identify what interests, abilities, and resources you can contribute to a project team (e.g., data, methods, perspectives, and domain expertise). We encourage participants to arrive with ideas about potential projects, yet we also ask that you remain open-minded to project ideas that emerge through collaboration with your project team and the mentor.

The application deadline is September 15, 2021, 11:59PM EDT (New York time). The agenda for the Paper-a-thon is forthcoming. Please note that while we plan for the event to take place offline, uncertain developments due to COVID may cause some changes to this schedule, as well as the format of the event.  

You should only apply to participate in the Paper-a-thon if you can commit to attending a virtual mini-conference prior to the event as well as attending both days during the event.

Agenda: Forthcoming

The deadline for Paper-a-thon submissions is September 15, 2021, 11:59PM EDT (New York time).

During ICIS – top three papers will be invited for a final presentation and included as accepted ICIS proceedings.

Mentors: TBA