Track Descriptions

Conference Theme Track A: IS for Sustainability

Track Chairs

Roya Gholami, University of Illinois, rghol2@uis.edu

Stefan Seidel, University of Liechtenstein, stefan.seidel@uni.li

Anjana Susarla, Michigan 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

Conference Theme Track B: IS for Resilience

Track Chairs

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

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

Jui Ramaprasad, University 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

General IS Topics

Track Chairs

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

Bin Gu, Boston University, bgu@bu.edu

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

Likoebe Maruping, Georgia 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

Digital Learning and IS Curricula

Track Chairs

Jan vom Brocke, University of Liechtenstein, jan.vom.brocke@uni.li

Heikki Topi, Bentley University, htopi@bentley.edu

Rodrigo Belo, Erasmus 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

IS and the Future of Work

Track Chairs

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

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

Ke-Wei Huang, National 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

Societal Impacts of IS

Track Chairs

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

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

Chee Wei (David) Phang, University 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

Cyber-security, Privacy, and Ethics of IS

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 Kwon, College 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

Blockchain, DLT, and Fintech

Track Chairs

Hailiang Chen, University of Hong Kong, chen19@hku.hk

Jungpil Hahn, National University of Singapore, jungpil@nus.edu.sg

Virpi Tuunainen, Aalto 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

Sharing Economy, Platforms, and Crowds

Track Chairs

Jan Ondrus, ESSEC Business School, ondrus@essec.edu

Sunil Wattal, Temple University, swattal@temple.edu

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

Zhiling Guo, Singapore 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:

Human Computer / Robot Interaction

Track Chairs

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

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

Shuk Ying (Susanna) Ho, The 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

AI in Business and Society

Track Chairs

Ann Majchrzak, University of Southern California, majchrza@marshall.usc.edu

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

Saonee Sarker, University 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

IS Design, Development and Project Management

Track Chairs

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

Liangfei Qiu, University of Florida, liangfei.qiu@warrington.ufl.edu

Sri Kudaravalli, HEC 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

IS Implementation and Adoption

Track Chairs

Geneviève Bassellier, McGill University, genevieve.bassellier@mcgill.ca

Shirish C. Srivastava, HEC 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

Data Analytics for Business and Societal Challenges

Track Chairs

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

InduShobha Chengalur-Smith, University 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

Digital Innovation, Entrepreneurship, and New Business Models

Track Chairs

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

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

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

Yong Tan, University 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

Social Media and Digital Collaboration

Track Chairs

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

Steven L. Johnson, University of Virginia, steven@virginia.edu

Onook Oh, University 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

IS in Healthcare

Track Chairs

Aaron Baird, Georgia State University, abaird@gsu.edu

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

Abhay Mishra, Iowa State University, abhay@iastate.edu

Monica Chiarini Tremblay, William & 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

IoT, Smart Cities, Services, and Government

Track Chairs

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

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

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

Chee-Wee Tan, Copenhagen 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:

Governance, Strategy, and Value of IS

Track Chairs

Wai Fong Boh, Nanyang Technological University, AWFBoh@ntu.edu.sg

Carol Ou, Tilburg University, carol.ou@tilburguniversity.edu

M.N. Ravishankar, Loughborough 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

Advances in Theories, Methods, and Philosophy

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

User Behaviors, Engagement, and Consequences

Track Chairs

Kaushik Dutta, University of South Florida, duttak@usf.edu

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

Stacie Petter, Baylor University, Stacie_Petter@baylor.edu

Juliana Sutanto, Lancaster 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:

Digital and Mobile Commerce

Track Chairs

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

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

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

Dongming Xu, University 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

Panels

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

Professional Development Workshops

Track Chairs

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

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

Pankaj Setia, Indian 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

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

Paper-a-Thon

Track Chairs

Hanna Krasnova, University of Potsdam, krasnova@uni-potsdam.de

Robert W. Gregory, University of Miami, rwg54@miami.edu

Feng Juan, Tsinghua University, juan.feng@sz.tsinghua.edu.cn

Wen Wen, The University of Texas at Austin, wen.wen@mccombs.utexas.edu

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-a-thon is to facilitate new research collaborations, help scholars develop their research ideas while making new professional connections, and—for the most promising projects—accelerate a publication review process.

In a paper-a-thon, researchers are organized into interest-related project teams with the goal of developing a research idea “from scratch” under the mentorship of prominent IS scholars in a very short timeframe. 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.

Paper-a-thon always concludes with each group pitching their research projects to a panel of senior scholars / journal editors, who will select several papers to be presented on the last day of ICIS. The finalist papers will be published in the ICIS 2020 Paper-a-Thon section of the AIS Library.

Due to the uncertainties of the ongoing pandemic, the paper-a-thon will take place both live and virtually this year. Thus, there will be two groups, providing greater flexibility for everyone to participate in the event. The agendas are forthcoming and will include separate versions for the live and virtual groups.

The live paper-a-thon version will then take place in the form of two-day intense working sessions (Saturday and Sunday, December 11-12, 2021) 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 two papers to be presented on the last day of ICIS. Should your team be invited for a final presentation at the conference, you will either have to adjust to the given time zone or record a video presentation.

The virtual paper-a-thon version will be spread out across the week Monday 6th – Sunday 12th of December, 2021 to allow for more flexibility for participants. Selected papers will be presented on the last day of ICIS.

Pre-ICIS: Applying — If the event is appealing to you, you are highly encouraged to apply—there are no restrictions on who can apply to the Paper-a-thon. You should only apply to participate in the paper-a-thon if you can commit to attending the event (either 2-days live or 3 mandatory appointments virtually). At the time of applying, you will need to state whether you will participate live onsite or virtually. Only state a preference for live onsite participation if you can commit to attending in full and can foresee that you will get a visa for travelling to the U.S. The application process includes filling out a survey HERE.

The application deadline is October 1, 2021, 11:59PM EDT (New York time).

Mentors:

Alexander Mädche, Karlsruhe Institute of Technology, Germany
Haijing Hao, Bentley University, USA
Mareike Möhlmann, Bentley University, USA
Ning Su, Ivey Business School, Canada
Ramiro Montealegre, University of Colorado, USA
Sirkka Jarvenpaa, University of Texas, USA
Thomas Kude, ESSEC Business School, France
Xia Zhao, University of Georgia, USA
Manuel Wiesche, Technical University of Dortmund, Germany
Marten Risius, University of Queensland, Australia
Abayomi Baiyere, Copenhagen Business School, Denmark
Barney Tan, University of Sydney, Australia
Yue Wei Thoo, City University of Hong Kong, Hong Kong

Agenda LIVE VERSION

Day 1: Saturday, December 11, 2021

1:00 PM	Kick-off and introductions
1:15 – 2:00PM	“Brainstorming” — Initial group meeting to brainstorm new paper ideas. Bring your data, theory, phenomenon, good writing skills, and/or eagerness. Meet others who can complement what you have.
2:00 – 2:15PM	Matching of mentors and groups
2:15 – 4:00PM	In-depth working session of project team and project mentor to brainstorm, filter, and refine paper ideas and identify an “overnight” work plan.
“Overnight”	Project team members work together to craft an extended abstract and prepare the “pitch” presentation. ● Work hard. Have fun. There is less than 24 hours to develop an extended abstract. If applicable, analyze data to prepare preliminary results. Articulate contributions to literature and possible implications for practice. Prepare the “pitch” presentation.

Day 2: Sunday, December 12, 2021

Morning

Continue working as project teams to prepare an extended abstract and the “pitch” presentation. It is highly recommended to discuss the project ideas with the mentor to refine the presentation.

1:00 – 3:00PM

“Pitch” presentations to the Editor Panel.

● Each project team will have up to 5 minutes to present their work in front of editors and other senior scholars.

● Up to two finalist papers will be invited to present on the last day of ICIS; further, these papers will be published in the ICIS 2021 Paper-a-Thon section of the AIS Library.

Wednesday, December 15, 2021

9:00 – 10:30AM

Invited teams present at ICIS paper session

Agenda VIRTUAL VERSION

Monday, December 6
9:00-11:00AM (CEST)

(corresponds to 9am in Germany, 3pm in Beijing, 5pm in Sydney; 2am in Austin, USA)

● Kick-off: Introduction of the Paper-a-thon.

● Assignment into groups.

● “Brainstorming” — Initial group meeting to brainstorm new paper ideas.

● Bring your data, theory, phenomenon, good writing skills, and/or eagerness. Meet others who can complement what you have.

Wednesday, December 8
9:00-11:00AM (CEST)

(corresponds to 9am in Germany, 3pm in Beijing, 5pm in Sydney; 2am in Austin, USA)

Matching of mentors and groups

In-depth working session of project team and project mentor to brainstorm, filter, and refine paper ideas and identify an “overnight” work plan.

Throughout the Week

Project team members work together to craft an extended abstract and prepare the “pitch” presentation.

● Work hard. Have fun. There is just a limited time to develop an extended abstract. If applicable, analyze data to prepare preliminary results. Articulate contributions to literature and possible implications for practice. Prepare the “pitch” presentation.

Sunday, December 12
9:00-11:00AM (CEST)

(corresponds to 9am in Germany, 3pm in Beijing, 5pm in Sydney; 2am in Austin, USA)

“Pitch” presentations to the Editor Panel.

● Each project team will have up to 5 minutes to present their work in front of editors and other senior scholars.

● Up to two finalist papers will be invited to present on the last day of ICIS; further, these papers will be published in the ICIS 2021 Paper-a-Thon section of the AIS Library.

Wednesday, December 15, 2021

9:00 – 10:30AM

Invited teams present at ICIS paper session

Track Descriptions

Panels, Professional Development Workshops and Paper-a-Thon

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