Track Descriptions

Track Chairs

Sanjeev Dewan, University of California, Irvine, 

Ming-hui Huang, National Taiwan University,

Leiser Silva, University of Houston,

Track Description

Digital inclusion is the idea that all stakeholders (individual users, groups, firms, organizations, societies, countries, and regions) should have equal opportunities to participate in and benefit from digitization initiatives and related innovations. The opposites are variously known as digital inequality, digital divide, and digital exclusion. Especially in light of digital globalization, multinationals and local firms spawn digital innovations but face different challenges. Grassroots digital innovations can potentially lead to the development of global solutions, using conscious institutionalization and orchestrated diffusion initiatives. Likewise, mass global technology solutions can be creatively localized, allowing digital initiatives to become more socially and economically inclusive, mPESA and PayTM being exemplars. Digital inclusion is fundamental in a world in which only 56%[1] of its inhabitants have access to the Internet. On the public side, citizens without access to digital technologies are alienated from relevant government services and information that is crucial for their human development. Moreover, digital technologies, particularly social networks, have become central for political and economic participation. On the private side, consumers and companies that are digitally disadvantageous cannot benefit from digital globalization, which further enlarges the gap between the local and the global.

The theme track aims to address ways in which all stakeholders of digital globalization can have a shared, equitable digital future. All levels of inquiries (micro, meso, and macro) from all stakeholders’ perspectives (thought leaders, academic researchers, practitioners, consumers, organizations) and from all areas of interest are welcome. This track encourages different research perspectives  such as positivist, interpretivist, and critical, and different methods (e.g. qualitative, theoretical, econometric, conceptual, network analysis, surveys, experiments, meta-analyses, case studies, data science, design, etc. or a combination of these). 

Topics of interest include, but are not limited to:

  •   Digital technologies and their applications for digital inclusion
  •   Inclusive digital initiatives
  •   The impact of new technologies (e.g., artificial intelligence and machine learning) on digital inclusion
  •   Digital inclusion for financial inclusion and social inclusion
  •   Theories and methods for digital inclusion
  •   Approaches to digital inclusion
  •   Digital inclusion for consumers
  •   Digital inclusion for disadvantageous groups
  •   Digital inclusion for local firms
  •   Digital inclusion for developing economies
  •   Digital inclusion for the society
  •   Blending the local and the global innovation initiatives
  •   Orchestrating innovation for digital inclusion
  •   Institutionalizing innovation for digital inclusion
  •   Political and social movements and their relation to social networks
  •   Citizen participation through e-government
  •   Computer literacy
  •   IT and development
  •   Cultural challenges of globalization

Associate Editors:

  • Antonio Diaz Andrade, Auckland University of Technology, New Zealand
  • Boyka Simenova, Larborough University, UK
  • Cesar Alexandre de Souza, University of Sao Paulo, Brazil
  • Dongwon Lee, The Hong Kong University of Science and Technology (HKUST), Hong Kong
  • Ester Gonzalez, California State University, Fullerton USA
  • Eric Wang, National Central University, Taiwan
  • Felix Tan, UNSW Business School, Australia
  • Francis MacCrory, Fordham University, USA
  • Joyce Lee, National Kaohsiung University of Science and Technology (NKUST), Taiwan
  • Eveline Hage, University of Groningen, Netherlands
  • Patrick Chau, University of Nottingham Ningbo China, China
  • Ariana Polyviu, University of Nicosia, Cyprus
  • Jingchuan Pu, Penn State, USA
  • Rajib Saha, Indian School of Business, India
  • Richard Skinner, University of Houston, USA
  • Romilla Syed, Boston University, USA
  • Tilo Bohmann, University of Hamburg, Germany
  • Wei-Lun Chang, National Taipei University of Technology, Taiwan
  • Yi-Te Chiu Victoria, University of Wellington, New Zealand

Track Chairs

Atreyi Kankanhalli, National University of Singapore,

Wolf Ketter, Rotterdam School of Management and University of Cologne,

Xitong Li, HEC Paris,

Shaila Miranda, University of Oklahoma,

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:

  • Abhijith Anand, University of Arkansas, USA
  • Ann-Frances Cameron, HEC Montréal, Canada
  • Carol Ou, Tilburg University, Netherlands
  • Christoph Rosenkranz, University of Cologne, Germany
  • Chul Woo Yoo, Florida Atlantic Unviersity, USA
  • Daniel Veit, University of Augsburg, Germany
  • Ge Chunmian, South China University of Technology, China
  • InduShobha Chengalur-Smith, SUNY-Albany, USA
  • Jama Summers, University of Tennessee, USA
  • Jan vom Brocke, University of Liechtenstein, Liechtenstein
  • Jennifer Claggett, Wake Forest, USA
  • Jimmy Huang, Warwick Business School, UK
  • Johann Kranz, LMU Munich, Germany
  • Josianne Marsan, Université Laval, Canada
  • Kent Marrett, Mississippi State University, USA
  • Konstantina Valogianni, IE Madrid, Spain
  • Liu Na, University of Sydney, Australia
  • Martin Bichler, TU Munich, Germany
  • Michelle Carter, University of Alabama, USA
  • Pee Loo Geok, Nanyang Technological University, Singapore
  • Phang Chee Wei, University of Nottingham Ningbo, China
  • Prasanta Bhattacharya, A*Star -Agency for Science, Technology and Research, Singapore
  • Rajendra Singh, University of Oklahoma, USA
  • Sumeet Gupta, IIM, Raipur, India
  • Tanya Beaulieu, University of Maine, USA
  • Vaibhav Rajan, National University of Singapore, Singapore
  • Zhou Ya, University of Nottingham Ningbo, China
  • Doug Derrick,  University of Nebraska, USA
  • Gunther Gust, Albert-Ludwigs-Universität Freiburg, Germany
  • Emma Coleman, University of the Witwatersrand, South Africa

Track Chairs

Pedro Ferreira, Carnegie Mellon University,

Bernard Tan, National University of Singapore,

Heikki Topi, Bentley University,;

Track Description

IS education and curricula have evolved over time as new technologies and processes (e.g., learning management systems, flipped classrooms, hybrid/blended classes, and more) have changed the way we teach. Today, emerging technologies and trends open up even more pedagogical opportunities in modern digital learning environments. Current topics such as analytics, cloud computing, mobility, AI, and IoT offer the opportunity to not only change what we teach, but how we teach. The success of our field is heavily dependent on success in our classroom, as it is largely through education our relevance and scientific discoveries find their ways into organizations through our students and graduates. Therefore, it is imperative we meet the challenge to explore, understand, and improve digital learning environments and the future of IS curriculum and education.

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

Topics of interest include, but are not limited to:

  • Studies of digital learning environments
  • Educational technology (learning management systems, eLearning, virtual/mobile learning, social media, and more)
  • Teaching cases 
  • Curriculum development including model curricula
  • IS education in relation to emerging topics (analytics, crypto, and more) and domains (FinTech, eGovernment, healthcare, and more)
  • Innovation in pedagogy
  • Development of faculty and teaching capabilities
  • Learning analytics
  • Theories of learning and IS pedagogy
  • Issues in IS education (global, ethical, social, and more)
  • Enabling students to understand implications and potential consequences of complex new technologies
  • Interdisciplinary or cross-disciplinary issues in IS education
  • Experiential learning studies 
  • Understanding the competencies future IS graduates will need
  • 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 platform, an open encyclopedia for information systems education started and supported by the AIS.

Special notes regarding teaching cases:

  • Each teaching case must include a teaching note when originally submitted, and the teaching note will be reviewed together with the case. 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 (all-inclusive for both). Both the teaching case and teaching note must conform to the ICIS 2020 submission template. Please compile teaching case and teaching note in a single PDF file for the initial submission.

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 student and useful for teaching 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:

  • Aikaterini Bagiati, Massachusetts Institute of Technology, US
  • Alanah Mitchell, Drake University, US
  • Ananya Sen, Carnegie Mellon University, US
  • Gary Spurrier, University of Alabama, US
  • Haifeng Xu, Shanghai Jiaotong University, China
  • João Alvaro Carvalho, University of Minho, Portugal
  • Janice Sipior, Villanova University, US
  • Jin Chen, University of Nottingham – Ningbo, China
  • Jeffrey Proudfoot, Bentley University, US
  • Lee Freeman, University of Michigan – Dearborn, US
  • Rodrigo Belo, Erasmus University, Netherlands
  • Riana Steyn, University of Pretoria, South Africa
  • Sebastian Hobert, University of Goettingen, Germany
  • Shiying Lim, National University of Singapore, Singapore
  • Joy Lu, Carnegie Mellon University, US
  • Craig Van Slyke, Louisiana Tech, US
  • Yael Inbar, Carnegie Mellon University (CMU), USA
  • Wendy Wang, Trident University, US
  • Bill Schiano, Bentley University, US

Track Chairs

Chrisanthi Avgerou, London School of Economics,

Brad Greenwood, George Mason University,

Shirish Srivastava, HEC Paris,

Track Description

Digital transformation is hailed as a great opportunity with numerous benefits for the economy and the society. Innovative technology enabled initiatives are being deployed to alleviate societal problems related to poverty, hunger, education, equality, health, sustainability etc. While technology has been effective in addressing many of the persistent societal issues,  it also raises multifarious challenges relating to the quality of life, social inclusion/exclusion, discrimination, employment, civic participation, public and population health, sustainability, and more. Digital transformation yields social challenges for consumers and unforeseen policy challenges for legislators and regulators.

The IS community is uniquely positioned to holistically address  issues of technological and societal changes and impacts, given its encompassing knowledge of both technical and social dimensions.

This track welcomes innovative, rigorous and relevant theoretical and empirical work examining the societal impacts stemming from the changing nature of and interaction with technology. Empirical (qualitative and quantitative) studies, conceptual/theoretical papers on theory development, design science, analytical, and computational studies will be considered. Various dimensions including social, economic, cultural, policy, or ethical issues can be involved in these relationships.  We encourage submissions at different levels and cross-levels of analysis at the personal (micro), firm (mezzo), and societal (macro) levels..

Topics of interest include but are not limited to:

  • Innovative technological initiatives to address persistent societal problems
  • Societal consequences of emerging technologies
  • Theoretical perspectives on (un)intended social consequences of IS
  • IS in social and political protests and issues of (in)equality and marginalized groups
  • Dark side of technology including addiction, victimization, surveillance, etc.
  • Implications of emerging digital technologies for government and policy makers
  • 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

Associate Editors:

  • Idris Adjerid, Virginia Tech, USA
  • Aaron Cheng, London School of Economics (LSE), UK
  • Angeliki Poulymenakou, Athens University of Economics and Business (AUEB), Greece
  • Amany Elbanna, Royal Holloway University of London, UK
  • Angsana Techatassanasoontorn, Auckland University of Technology, New Zealand
  • Anuragini Shirish, IMT Business School, France
  • Brian Nicholson, Manchester University, UK
  • Carla Bonina, University of Surrey, UK
  • Chris Parker, American University , USA
  • Christophe Elie-Dit-Cosaque, University Paris-Dauphine, France
  • David Kreps, University of Salford, UK
  • Daniel Beimborn, University of Bamberg, Germany
  • Ela Klecun, London School of Economics, UK
  • Isam Faik, National University of Singapore, Singapore
  • Hilal Atasoy, Temple University, USA
  • Thomas Huber, ESSEC Business School, France
  • John D’Arcy, University of Delaware, USA
  • Jing Gong, Lehigh University, USA
  • Jorge Mejia, Indiana University, USA
  • Keongtae Kim, City University of Hong Kong (CUHK), China
  • Sanghee Lim, Johns Hopkins, USA
  • JulienMalaurent, ESSEC Business School, France
  • Niall Hayes, Lancaster University, UK
  • Jan Ondrus, ESSEC Business School, France
  • Rohit Nishant, Université Laval, Canada
  • Silvia Masiero, Loughborough University, UK
  • Shalini Chandra, SP Jain School of Global Management, Singapore
  • Shuting (Ada) Wang, The Zicklin School, CUNY, USA
  • Steve Sawyer, Syracuse University, USA

Track Chairs

Lars Mathiassen, Georgia State University,

Abhay Mishra, Iowa State University,

Sudha Ram, University of Arizona,

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, researchers have not found consistent results and the context of examination is still central in understanding research findings. Additionally, national and regional governments worldwide have introduced several initiatives around technology use, data integration, privacy, payment models and access to care, and the commercial sector has launched several innovations in the consumer sector, which make it easier to track and consolidate individual-level data. Increasing standardization in the healthcare industry and the widespread use of HIS among health care providers, payers and consumers have enabled the creation of large datasets, which lend themselves well to predictive modeling.

This track provides a forum for presenting and discussing original research highlighting the opportunities and challenges related to the role of IT in 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 HIS
  • 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 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

Associate Editors:

  • Aaron Baird, Georgia State University, USA
  • Huimin Zhao, University of Wisconsin, USA
  • Adrian Yeow Yong Kwang, Singapore University of Social Sciences, Singapore
  • Jeppe Agger Nielsen, Aalborg University, Denmark
  • Amrita George, Marquette University, USA
  • Ben Liu, City University of Hong Kong, Hong Kong, PRC
  • Bengisu Tulu, Worcester Poltechnic Institute (WPI), USA
  • Ciara Heavin, University College, Cork, Ireland
  • Christopher B. Califf, Western Washington University, USA
  • Devinder Thapa, University of Agder, Norway
  • Emre Demirzen, University of Florida, USA
  • Gondy Leroy, University of Arizona, USA
  • Haijing Hao, Bentley University, USA
  • Christina Serrano, Colorado State University, USA
  • Doug Vogel, Harbin Institute of Technology, China
  • Mirou Jaana, University of Ottawa, Canada
  • Jiban Khuntia, University of Colorado, Denver, USA
  • Jie Mein Goh, Simon Frasier University, Canada
  • Joshua Ryan Vest, Indiana University, USA
  • Jun Liu, Dakota State University, USA
  • Lina Bouyad, Florida International University, USA
  • Liwei Chen, University of Cincinnati, USA
  • Mohammadmahdi Moqri, Iowa State University, USA
  • Ruba Aljafari, University of Pittsburg, USA
  • Roopa Raman, University of Dayton, USA
  • Raj Sharman, SUNY Buffalo, USA
  • Sundeep Sahay, University of Oslo, Norway
  • Ali Sunyaev, Karlsruhe Institute of Technology, Germany
  • Tina Blegind Jensen, Copenhagen Business School (CBS), Denmark
  • Tobias Kowatsch, ETH Zurich, Switzerland
  • Tala Mirzaei, Florida International University, USA
  • Tobias Mettler, University of Lausanne, Switzerland
  • Yu Tong, Zhejiang University, China
  • Till Winkler, Copenhagen Business School (CBS), Denmark
  • Wei Wei, University of Houston, Clearlake, USA
  • Wencui Han, University of Illinois, USA
  • Wenli Zhang, Iowa State University, USA
  • Yu-Kai Lin, Georgia State University, USA
  • Youyou Tao, Loyola Marymount University, Los Angeles, USA
  • Daniel Fürstenau, Freie Universität Berlin, Germany

Track Chairs

Ahmed Abbasi, University of Virginia,

Lionel Robert, University of Michigan,

Weiquan Wang,  City University of Hong Kong,

Lynn Wu, University of Pennsylvania,

Track Description

 Human Computer Interaction (HCI) focuses on the design, evaluation, and use of information and communication technologies with an explicit goal to improve user experiences, task performance, and quality of life. HCI is currently being shaped and shaping the applications of artificial intelligence (AI) and intelligent augmentation (IA). This is leading to the rapid emergence of new and exciting research topics. These topics and the questions derived from them are extending and challenging our current theoretical foundations and research methodologies. This calls for both a reflection and a discussion among IS scholars.  

This track aims to provide a forum to discuss, develop, and promote a range of research exploring novel theories, methodologies, and empirical insights related to phenomenon pertaining to HCI, AI, and/or IA. We welcome submissions reflecting a breath of research traditions and approaches, including behavioral, economics of IS, econometrics, design science, and data science, that address new and emerging issues in these fields. 

Research relevant to the track may offer novel theoretical perspectives on HCI, AI and IA in a variety of contexts including but not limited to e-commerce, m-commerce, labor, organizations, human interactions with smart technologies, human robot interactions, novel interface designs for virtual reality/augmented reality (VR/AR) technologies, and examination of HCI issues through neuro-physiological tools and devices (e.g., EEG, fMRI, GSR, and eye-trackers). Relevant research may also include studies examining the impact of AI/IA on business strategy development, applications in public versus private organizations, the effect of AI on the market, economy and society, and the business value and unanticipated consequences of AI. Research relevant to the track may also propose novel AI/machine learning constructs, models, methods, or instantiations with implications for IA and/or process automation in organizations and society.

Topics of interest include but are not limited to:

Human Computer Interaction 

  • Psychological, social and cultural aspects of human computer and robot interactions
  • Aesthetic and affective computing
  • Applications and evaluation of human-computer symbiosis in various industry sectors 
  • Cognitive neuroscience for HCI
  • Designs for voice and conversational technology and interactions
  • Designs for wearable, pervasive, and ubiquitous systems and computing
  • Designs to facilitate human information seeking behavior on the digital platforms
  • Embedded IT applications, e.g., intelligent homes
  • Gamification designs and evaluations
  • Human interactions with AI technologies and applications
  • Interface design for a wide variety of challenges such as VR/AR applications
  • Novel HCI theories, techniques, and methodologies

Economic Implications of AI and IA

  • Impact of AI and/or IA on the economy
  • Social, behavioral, and economic implications of AI and IA.
  • AI/IA-driven business strategy development
  • Applications of AI/IA in public and private organizations
  • Organizational structure, skills, management, strategic decision-making and organizational learning in the age of AI/AI
  • Business value and unanticipated consequences of AI/IA

Data Science and Design Science for AI and IA 

  • Novel machine learning methods for IA or process automation in various contexts including health, cybersecurity, FinTech, e-commerce
  • Novel AI or machine learning methods for prediction 
  • Frameworks, models, methods, or systems for enhancing machine learning fairness, alleviating algorithmic bias, and/or making AI more explainable
  • AI methods that leverage psychometric or econometric models for enhanced performance
  • AI artifacts that enhance HCI capabilities
  • AI and/or machine learning methods applied to unstructured user-generated content such as text, images, speech, audio, and video

Associate Editors:

  • Nachiketa Sahoo, Boston University, USA
  • Alan Wang, Virginia Tech, USA
  • Bo Sophia Xiao, University of Hawaii, USA
  • Bowen Lou, University of Penn Wharton, USA
  • Denny Yin, University of South Florida, USA
  • Dokyun Lee, Carnegie Mellon University (CMU), USA
  • Dan Rock, MIT, USA
  • Fareed Zaffar, Lahore University of Management Sciences, Pakistan
  • Greg Moody, University of Nevada – Las Vegas, USA
  • Kevin Hong, Arizona State University, USA
  • Jessica Clark, University of Maryland, USA
  • Jeff Jenkins, Brigham young University (BYU), USA
  • Jiyong Park, UNC Greensboro, USA
  • Jingjing Li, University of Virginia, USA
  • Kunpeng Zhang, University of Maryland, USA
  • Bin Liu, IBM Watson Research Center,
  • Lauren Rhue, University of Maryland, USA
  • Ofer Arazy, Haifa University, Israel
  • Panos Adamopoulos, Emory University, USA
  • Pengzhu Zhang, Shanghai Jiaotong University, China
  • Raymond Lau, City University of Hong Kong, China
  • Richard Johnson, University of Albany – SUNY, USA
  • Sriram Somanchi, University of Notre Dame, USA
  • Shawn Mankad, Cornell University, USA
  • Srikar Velichety, University of Memphis, USA
  • Chuan-Hoo Tan, National University of Singapore, Singapore
  • Xiaobai Li, University of Massachusetts, USA
  • Xi Jessie Yang, University of Michigan, USA
  • Xin Li, City University of Hong Kong , China
  • Xin Xu, Hong Kong Polytechnic University, China
  • Xinwei Wang, University of Auckland, New Zealand
  • Xinru Page, Bentley University, USA
  • Yilu Zhou, Fordham University, USA
  • Sangseok You, HEC Paris, France
  • Yuheng Hu, University of Illinois-Chicago, USA
  • Lionel Li, York University, Canada
  • Gabe Lee, Miami University, USA

Track Chairs

France Bélanger, Virginia Tech,

Kai Lung Hui, Hong Kong University of Science and Technology,

Sam Ransbotham, Boston College,

Sumit Sarkar, University of Texas at Dallas,

Track Description

The ubiquitous growth of the Internet, and advances in communications, networking, data gathering and storage technologies, have exacerbated the vulnerability of information systems. The extent, frequency, seriousness, and diversity of external attacks to computer systems are unprecedented. Meanwhile, internal attacks and abuse of proprietary information assets account for at least half of the serious security and privacy incidents worldwide. On another front, the personal data gathered and stored by companies is ever more frequently used for profiling and analysis, often without the knowledge or consent of the individuals or groups concerned. Mobile computing with location-aware capabilities further exacerbates these concerns. Furthermore, the fast-paced development of new artificial and augmented intelligence applications challenge existing legal, regulatory and ethical frameworks. Thus, it is imperative to better understand the laws, policies, strategies, technologies, and actions by societies, organizations, groups, and individuals that address these issues. 

Accordingly, this track provides a forum for focused discussion on information security, privacy, legal and ethical issues. We seek to address important questions arising from the issues mentioned above, such as: How do online social networks or virtual worlds threaten the security and privacy of the individual participants? What are the underlying economic, behavioral, and societal implications of new security technologies? Should governments get involved in the process of creating a more secure environment and in safeguarding information privacy, and if so how? What are the benefits, costs, and implications of the latest security and privacy technologies? How should firms manage their businesses in view of possible security and privacy breaches? How should firms design and implement “best” security and privacy practices in their organizations and IT systems? What are the social, legal and ethical implications of new and emerging technologies?

The track welcomes submissions from all IS traditions across a diverse range of topics—from technical aspects to broader social and managerial issues at the individual, organizational, or societal levels. Given the challenges in emerging online contexts (e.g., artificial intelligence, blockchain, Internet-of-Things, crowdsourcing/crowdfunding platforms, sharing economy, smartphone apps, social media/networking), we encourage the submission of research in these domains. At the same time, we are open towards research that deepens our knowledge of these issues in traditional contexts (e.g., health, finance, banking, ecommerce, online marketing). We invite theoretical perspectives from behavioral, organizational, cognitive, cultural, socio-technical, economics, or other lenses for analysis of these issues. 

Topics include, but are not limited to:

  • Adoption, use, and continuance of information security technologies and policies
  • Computer abuse and employee deviant behaviors
  • Corporate governance and compliance 
  • Confidentiality and informed consent
  • Copyright and fair use
  • Cross-cultural issues 
  • Cyberwarfare and cybersecurity
  • Cyber-risk quantification and cyber-insurance
  • Deception and deception intention in the context of online trust 
  • Design and development of information security and privacy enhancing technologies
  • Deterrence of security policy violations
  • Digital forensics
  • Economic analysis of technologies and practices
  • Employee accountability, compliance and noncompliance
  • Ethical uses of data and algorithms
  • Forensic analysis of security breaches and computer crimes
  • Hacking and cracking, white hat and black hat research issues
  • Investigations of computer crime and security violations
  • IT audit and controls
  • Identity theft and risk assessment
  • Incentives for information sharing and cooperation
  • Insider threat behaviors and antecedents
  • Internet-enabled crimes and discrimination
  • Intrusion detection/prevention
  • Legal issues with respect to IS (e.g., intellectual property rights, privacy regulations, etc.)
  • The impact of recent legislation (GDPR) on consumers and firms
  • Legal, societal, and ethical issues associated with artificial/augmented intelligence
  • Markets for cybersecurity and privacy, ransomware
  • Mental welfare (e.g., stress) and mental capacities (e.g., remembering)
  • Metrics
  • Motivators and inhibitors of computer crime
  • Risk analysis and management, risk and fraud assessment
  • Social media and social networking
  • Security, Education, Training, and Awareness (SETA) programs and campaigns
  • Socio-technical mechanisms for countering cyber threats
  • Standards and regulations
  • Surveillance and its effects on organizations
  • Spyware / malware
  • Theoretical and empirical analyses of information security behaviors
  • Trust in security and privacy enhancing systems
  • Vulnerability discovery, disclosure, and patching

Associate Editors:

  • Abhijeet Ghoshal, University of Illinios Urbana-Champain, US
  • Allen Johnston, University of Alabama, USA
  • Asunur Cezar, Boğaziçi University, Turkey
  • Akhil Kumar, Pennsylvania State University, US
  • Ben Edelman, Harvard University, USA
  • Hasan Cavusoglu, University of British Columbia, Canada
  • Frank Chan, ESSEC Business School, France
  • Chon Abrahams, College of William and Mary, USA
  • Christian Matt, University of Bern, Switzerland
  • Clay Posay, University of Central Florida, USA
  • Dmitry Zhdanov, Georgia State, US
  • Xianjun Geng, Tulane University, USA
  • Jin Gerlach, TU Darmstadt, Germany
  • Guido Schryen, Paderorn University, Germany
  • Raghav Rao, UT San Antonio, USA
  • Huseyin Cavusoglu, University of Texas at Dallas, US
  • Irina Heimbach, WHU – Otto Beisheim School of Management, Germany
  • Chul-Ho Lee, KAIST, South Korea
  • Jinwei Cao, Delaware University , US
  • Jens Grossklags, TU Munich, Germany
  • Krish Muralidhar, University of Oklahoma, US
  • Juhee kwon, KAIST, Korea
  • Stanislav Mamonov, Montclair University, USA
  • Mark Keith, Bringham Young University, USA
  • Nirup Menon, George Mason University, US
  • Obi Ognabufe, Oklahoma State, USA
  • Ping Fan Ke, Singapore Management University, Singapore
  • Qiu-hong Wang, Singapore Management University, Singapore
  • Rainer Boehme, University of Innsbruck, Austria
  • Rathin Sarathy, Oklahoma State University, US
  • Rui Chen, Iowa State University, US
  • Saby Mitra, Georgia Tech, US
  • Shuyuan Mary Ho, Florida State University, USA
  • Srinivasan Raghunathan, University of Texas at Dallas, US
  • Syam Menon, University of Texas at Dallas, US
  • Terrence August, University of California – San Diego, USA
  • Teju Herath, Brock University, Canada
  • Thomas Maillart, University of Geneva , Switzerland
  • Wei T. Yue, City University of Hong Kong, Hong Kong
  • Wendy Hui, Lingnan University, Hong Kong
  • Robert Luo, University of New Mexico, USA
  • Heng Xu, American University, USA
  • Byung Cho Kim, Korea University, Korea

Track Chairs

Kevin Crowston, Syracuse University,

Matti Rossi, Aalto University,

Raghu Santanam, Arizona State University,

Track Description

Technological developments continue to reshape how work is designed, performed, and managed at individual, organizational and societal levels. The accelerated digitalization of information is pushing many organizations away from the established archetype of 9-5 office work towards more contemporary approaches to work. Traditional employment arrangements are increasingly becoming contingent, flexible and distributed. 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, Uber, and TaskRabbit. Further, automation and augmentation of work with artificial intelligence are transforming not just organizations and industries, but potentially entire labor markets, with humans being replaced by, or working together with, ever smarter algorithms and robots. At the same time, the meaning of work and employment are shifting as the new generation of digital natives reconfigure the future of work. 

To address the challenge of understanding and proactively designing work with novel technologies requires us expanding from a focus on technical systems and their potential for action to a focus on system and work design as a socio-technical problem. Such systems require the joint design of the social and technical systems and attention to the implications of their interdependencies and preparation for unintended consequences of designs. For IS researchers, the socio-technical complexities of how humans welcome/resist/adapt/appropriate technological advancements in their work environment makes the study of “future of work” both challenging and rewarding. 

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

Topics of Interest include, but are not limited to:

  • Automation and augmentation of tasks, work and occupations
  • Comparative studies of impacts 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 on careers and patterns of careers
  • Managing skills development and skills 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
  • 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

Associate Editors:

  • Abayomi Baiyere, Copenhagen Business School, Denmark
  • Aron Lindberg, Stevens Institute of Technology, USA
  • Aaron Schecter, University of Georgia, US
  • Crispin Coombs, Loughborough University, UK
  • Christoph Peters, University of St. Gallen, Switzerland
  • Mateusz Dolata, University of Zurich, Switzerland
  • Hamed Qahri-Saremi, DePaul University, USA
  • Isabella Seeber, University of Innsbruck, Austria
  • Karen Stendal, University of South-Eastern Norway, Norway
  • Kari Koskinen, Aalto University, Finland
  • Karl Lang, Baruch University, USA
  • Marleen H. Huysman, VU University Amsterdam, The Netherlands
  • Manju Ahuja, University of Louisville, USA
  • Nicolas Jullien, IMT Atlantique, France
  • Ning Su, Ivey Business School, Canada
  • Sarah Oeste-Reiss, University of Kassel, Germany
  • Sara Moussawi, Carnegie Mellon University, USA
  • Matthias Söllner, Universities of Kassel and St.Gallen, Germany
  • Tracy Jenkin, Queen’s University, Canada

Track Chairs

Gord Burtch, University of Minnesota,

Susanna Ho, Australian National University,

De Liu, University of Minnesota,

Inbal Yahav, Bar-Ilan University,

Track Description

The expanding infusion of technology into our social and work lives has made the interplay between user behavior and information systems a critical issue. The question of how technologies shape and influence user behaviors, how to encourage user engagement and other types of user behaviors, how user behaviors inform the use and design of technologies, and the consequences of user behaviors on individual, collective, organizational, or societal outcomes has attracted considerable research attention. To better design 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, 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 or simulation-based, conducted in the field or the lab). 

Topics of interest include but are not limited to:

  •  Influence of individual, group, organizational, and social factors on the use of IS and on user behaviors
  • The interplay between individual user behaviors and technology in various contexts
  • IS impacts on user behaviors
  • Impact of the design of IS on group dynamics
  • Technology design to support cognitive and affective processing and human interactions
  • Cross-cultural effects of user behaviors
  • Different patterns of human interactions and the technologies used to support the interactions
  • Consequences of IS use, user behaviors, and user engagement
  • Emergence and evolution of engagement behaviors in digital workplaces
  • 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
  • Engaging information system designs
  •  Impact of digital engagement on individual welfare
  • The dark side of technology and of digital engagement on user behaviors and outcomes
  • Post-adoptive usage behaviors
  • Incentives to encourage use
  • Engagement and the effects of these on user behaviors 

Associate Editors:

  • Suh Ah Young, City University of Hong Kong, Hong Kong
  • Alexandra Durcikova, University of Oklahoma, US
  • Amit Rechavi, Tel Aviv University , Israel
  • Chad Ho, George Washington University, US
  • Zhihong Ke, Clemson College of Business , US
  • Christoph Schneider, University of Navarra, Spain
  • David Anderson, Villanova University, US
  • Dezhi (Denny) Yin, University of South Florida, US
  • Lior Fink, Ben Gurion University, US
  • Greta Polites, Kent State University, US
  • Gorkem Orkem (G.T.) Ozer, University of Maryland, US
  • Milena Head, McMaster University, Canada
  • Cheng Suang Heng, National University of Singapore, Singapore
  • Henner Gimpel, University of Augsburg, Germany
  • Jiahui Mo, Nanyang Technological university (NTU), Singapore
  • Jian Tang, Central University of Finance and Economics, China
  • Jeffery M. Stanton, Syracuse University, US
  • Karen Xie, University of Denver, US
  • Kevin Kuan, University of Sydney, Australia
  • Kiron Ravindran, IE University, Spain
  • Keehyung Kim, City University of Hong Kong (CUHK), Hong Kong
  • Thomas Kude, ESSEC, France
  • Laura Brandimarte, University of Arizona, US
  • Libo Liu, Swinburne University, Australia
  • Michael Chau, University of Hong Kong, Hong Kong
  • Muller Cheung, The Hong Kong University of Science and Technology (HKUST), Hong Kong
  • Matt Hashim, University of Arizona, US
  • Na “Lina” Li, Baker College, US
  • Fiona Nah, Missouri University of Science and Technology , US
  • Ni Huang, Arizona State University, US
  • Ofir Ben Asuli, ONO Academic collage , US
  • Pei Xu, Auburn University , US
  • Rajiv Garg, University of Texas Austin, US
  • Shun-yang Lee, Northeastern University, US
  • Swanand Deodhar, Indian institution of management Ahmedanad (IIMA), India
  • Tabitha James, Virginia Tech, US
  • Timm Teubner, TU Berlin, Germany
  • Markus Weinmann, RSM, Netherlands
  • Bill Rand, University of NC, US
  • Xiao-Liang Shen, Wuhan University, China
  • Xiao Ma, University of Houston, US
  • Yixin (Sarah) Zhang, University of Gothenburg, Sweden
  • Lior Zalmanson, Tel Aviv University (TAU), Israel
  • Kem Z.K. Zhang, Sun Yat-Sen University, China

Track Chairs

Michel Avital, Copenhagen Business School,

Hailiang Chen, University of Hong Kong,

Rong Zheng, Hong Kong University of Science and Technology,

Track Description

Distributed Ledger Technologies (DLT) and the conspicuous blockchain, best known as the backbone technology behind Bitcoin, are technologies that are currently disrupting multiple industries and in particular the financial sector. In general, blockchain and DLT have the potential to make data processing more efficient, secure, transparent, and democratic. So far, the technology has been applied mostly in streamlining value chains, developing data registries, and forging cryptocurrencies. Although its full impact is yet to be unleashed, the exponential growth in the number and prominence of blockchain and DLT enabled applications in multiple sectors provide ample opportunities for IS research. Similarly, and highly intertwined with DLT, Fintech has disrupted the financial sector with algorithmic trading, high-frequency trading, digital securities, smart money, peer-to-peer lending, new models of cross-boundary payment systems, and digital anti-money laundering monitoring, for example. Yet, further research is needed to better understand the effect of these services on business and society.

In this track, we adopt a view that information systems are socio-technical phenomena that are created by shaping social, physical, semiotic and technological environments via intentional IT-oriented design. The conference theme calls for a broader and inclusive view of IS scholarship that aspires to foster environmental, economic and social value and to suggest ways of using information technology for providing leverage and fulfilling human needs. Papers can apply any perspective (behavioral, economics, organizational, design, computational), consistent theoretical frame, methodology, or unit of analysis. Both theoretical essays and empirical studies are welcome. Innovative approaches to the study of blockchain, cryptocurrencies, distributed business models and Fintech related phenomena are particularly desirable. 

Topics of interest include but are not limited to:  

  • Blockchain and distributed ledger technology 
  • Fintech business models and analytics
  • Cryptocurrencies and digital money
  • Initial Coin Offering (ICO) and Securitized Token Offering (STO)
  • Blockchain-based payment systems 
  • Distributed and decentralized organization, coordination, and governance  
  • Use cases and application of blockchain in specific sectors: e.g., finance, logistics, energy markets, healthcare, and government
  • Policy challenges: standards, privacy, insurance and taxation, labor protection, environmental sustainability
  • FinTech regulation, RegTech, and regulatory sandboxes
  • Data management and data governance issues related to blockchain
  • Smart contracts, business process logic, legal issues
  • Novel approaches to the development of DLT and blockchain applications
  • Blockchain developers communities
  • The interplay between open source and blockchain technology
  • Internet of Things applications of blockchain 
  • Crowdfunding
  • Robo-advising, algorithmic trading, high-frequency trading, and social trading
  • Physical asset management with blockchain
  • Strategic implications of DLT and blockchain 
  • Blockchain-enabled new business models 
  • Blockchain as a driver of social innovation and world benefit 

Associate Editors:

  • Raghava Rao Mukkamala, Copenhagen Business School, Denmark
  • Alvin Leung, City University of Hong Kong, Hong Kong China
  • Ho Cheung Brian Lee, University of Massachusetts Lowell, USA
  • Gene Moo Lee, University of British Colombia, Canada
  • George Kuk, Nottingham Business School, UK
  • George Giaglis, University of Nicosia, Cyprus
  • Hanna Halaburda, New York University, USA
  • Yanzhen Chen, Hong Kong University of Science and Technology, Hong Kong China
  • Yi Yang, Hong Kong University of Science and Technology, Hong Kong China
  • Jiaqi Yan, Nanjing University, China
  • Juho Lindman, Gothenburg University, Sweden
  • Jungpil Hahn, National University of Singapore, Singapore
  • Yue Feng, Hong Kong Polytechnic University, Hong Kong China
  • Markos Zachariadis, Warwick Business School, UK
  • Noyan Ilk, Florida State University USA
  • Nils Urbach, Universität Bayreuth, Germany
  • Omri Ross, Copenhagen University, Denmark
  • Pär Ågerfalk, Uppsala University, Sweden
  • Raffaele Ciriello, IT University of Copenhagen, Denmark
  • Rainer Alt, University of Leipzig, Germany
  • Rob Gleasure, Copenhagen Business School, Denmark
  • Gerhard Schwabe, University of Zurich, Switzerland
  • Shaokun Fan, Oregon State University, USA
  • Wenqi Shen, Virgina Tech, USA
  • Ruidong Zhang, University of Wisconsin Eau Claire, USA
  • Zach Steelman, University of Arkansas USA

Track Chairs

Brian Butler, University of Maryland,

Tomer Geva, Tel Aviv University,

Bin Gu, Arizona State University, 

Likoebe Maruping, Georgia State University,

Track Description

Social media and digital collaboration are core pillars of research inquiry into how digital technologies connect people and enable social 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.

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. For people, 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. For 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. Society relies on social media as a tool for coordinating social movements, understanding needs and preferences, providing services, and promoting social and political change. Social media has also had unintended consequences including the growing skepticism about traditionally accepted information sources, magnification of hate speech, harvesting of personal data, and the emergence of filter bubbles.

Digital collaboration is now a mainstream approach to accomplishing a wide variety of objectives. 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, and citizen science. 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 ground, advance new insights, develop new methods, or challenge established points of view on phenomena related to social media 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
  • Online to offline interaction
  • 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 
  • 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 qualitative or quantitative methods of assessing social media and digital collaboration.
  • Intra-and-inter-enterprise use of social media and digital collaborations
  • Interactions (or lack of), competition or collaboration between social media groups. 
  • Reputation and trust in social media and digital collaboration.
  • Management of social media and digital collaboration
  • Social media and digital collaboration for political participation and societal changes.
  • Novel methods of social media analytics
  • Novel algorithms for the facilitation of social media interactions and digital collaboration
  • Negative aspects of social media and digital collaboration and their mitigation strategies, methods or designs.
  • Theoretical and empirical studies of collaboration across multiple platforms 

Associate Editors:

  • Jaehwuen Jung, Temple University, USA
  • Alexander Richter, Victoria University Wellington, New Zealand
  • Daniel, Sherae, University of Cincinnati, USA
  • Dylan Walker, Boston University, USA
  • Enrique Mu, Carlow University, USA
  • Eoin Whelan, National University of Ireland Galway, Ireland
  • Eric Kwon, Nanyang Technological University, Singapore
  • Gang Wang, University of Delaware, USA
  • Jerry Kane, Boston College, USA
  • Harpreet Singh, University of Texas at Dallas, USA
  • Hala Annabi, University of Washington, USA
  • Huaxia Rui, University of Rochester, USA
  • Hyelim Oh, National University of Singapore, Singapore
  • Mohammad Jarrahi, University of North Carolina – Chapel Hill, USA
  • Jesse Shore, Boston University, USA
  • Jing Peng, University of Connecticut, USA
  • Jiye Baek, The Hong Kong University of Science and Technology (HKUST), Hong Kong
  • Jun He, University of Michigan, Dearborn, USA
  • Liangfei Qiu, University of Florida, USA
  • Xitong Li, HEC Paris, France
  • Mark Boons, VU Amsterdam, Netherlands
  • Magni, Massimo, Bocconi University, Italy
  • Mary Beth Watson-Manheim, University of Illinois-Chicago, USA
  • Charki, Mohamed-Hedi, HD HEC, France
  • A.K.M Najmul Islam, University of Turku, Finland
  • Noirko Hara, Indiana University, Bloomington, USA
  • Pinar, Duquesne University, USA
  • Paul di Gangi, University of Alabama, Birmingham, USA
  • Peter Gray, University of Virginia, USA
  • Jacqueline Pike, Duquesne University, USA
  • Ping Wang, University of Maryland, USA
  • Qian Tang, Singapore Management University, Singapore
  • Rachel Chung, William and Mary, USA
  • Rosta Farzan, University of Pittsburgh, USA
  • Sabine Matook, University of Queensland, Australia
  • Sagit Bar-Gill, Tel Aviv University, Israel
  • Samuel Goh, University of Alabama, Birmingham, USA
  • Steven Johnson, University of Virginia, USA
  • Stefan Smolnik, University of Hagen, Germany
  • Stoney Brooks, Middle Tennessee State University, USA
  • Thomas Frick, Copenhagen Business School, Denmark
  • Windeler, Jaime, University of Cincinnati, USA
  • Xiao Fang, University of Delaware, USA
  • Lucy Yan, Indiana University, USA
  • Yicheng Song, University of Minnesota, USA
  • Radha Mookerjee, University of Texas – Dallas, USA

Track Chairs

Sirkka Jarvenpaa, University of Texas at Austin,

Tuan Phan, University of Hong Kong,

Jui Ramaprasad, McGill University,

Jing Wang, Hong Kong University of Science and Technology,

Track Description

Topics around sharing economy, platforms, and crowds have become focal areas of research in information systems. This track continues a series of prior tracks at the International Conference on Information Systems (ICIS) and invites cutting-edge research on these topics. The papers may address one or more of these topics.  

Information technology (IT) has enabled the creation of multi-sided platforms, which connect varied actors throughout the world for little marginal cost.  These platforms facilitate transactions and interactions in a variety of contexts: transportation, housing and hospitality, crowdfunding, fintech, classified ads, education and massive open online courses (MOOCs), dating, e-commerce, and product review sites. These platforms have disrupted and revolutionized industries, for better and for worse, with both promising and discouraging economic and societal impacts. 

The sharing economy in particular leverages platforms and other infrastructures to allow individuals to offer and share their assets with others and have had significant social, legal and economic impacts.  Typical user-owned asset platforms include Airbnb, Uber, Didi, Grab, NetJets, and Ouibring. However, the sharing economy also includes platforms that facilitates sharing and renting of company-owned assets such as CitiBike, Ofo, Bird, and Lime, and this track will be open to this broad definition of sharing economy platforms. 

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.  Here again, the track will entertain crowd-based models within the organization as well as beyond the organizational boundaries.  

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. We encourage work that crosses disciplinary boundaries, and that provides us a novel understanding of the impacts of platforms, the sharing economy, and crowd-based models. 

Topics of interest include but are not limited to:

  • Novel theories about sharing economy, platforms, and crowds 
  • New organizing forms enabled by sharing economy, platforms, and crowds
  • 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 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
  • The role and use of artificial intelligence/machine learning/data-driven decision making in platforms
  • Social, legal and economic impact of platforms, sharing, and crowds

Associate Editors:

  • Lauri Wessel, University of Bremen, Germany
  • Zhuoxin Li, Boston College, USA
  • Alan Ran Zhang, City University of Hong Kong, City University of Hong Kong, Hong Kong
  • Alex Wang, Peking University, China
  • Attila Marton, Copenhagen Business School, Denmark
  • Animesh, McGill University, Canada
  • Zike Cao, Erasmus University, Erasmus University, Netherlands
  • Chen Liang, University of Connecticut, University of Connecticut, USA
  • Hila Lifshitz-Assaf, New York University, USA
  • Hongchang Wang, UT Dallas, UT Dallas, USA
  • Ke-Wei Huang, NUS, National University of Singapore (NUS), Singapore
  • Ivo Blohm, University of St. Gallen, Switzerland
  • Surinder Kahai, University of Binghamton, USA
  • Kartik Ganju, McGill University, Canada
  • Sri Kuduravalli, HEC-Paris, France
  • Kyunghee Lee, Wayne State University, USA
  • Lei Wang, Penn State University, USA
  • Martin Wiener, Bentley University, USA
  • Nan CHEN, National University of Singapore (NUS), Singapore
  • Xuefei (Nancy) Deng, Cal State University, USA
  • Ohchan Kwon, HKUST, The Hong Kong University of Science and Technology (HKUST),
  • Hong Kong
  • Angela LU, City University of Hong Kong, Hong Kong
  • Tingting Nian, University of California – Irvine, USA
  • Victor Benjamin, Arizona State University, USA
  • Weifang Wu, Copenhagen Business School, Copenhagen Business School, Denmark
  • Ian Ho, Penn State University, USA
  • Mike Han, Harbin Institute of Technology, China
  • Zaiyan Wei( willing to serve on other tracks), Purdue University, USA
  • Zhiling Guo, Singapore Management Universality , Singapore
  • Zhitao Yin, HKUST, The Hong Kong University of Science and Technology (HKUST), Hong Kong

Track Chairs

Nicholas Berente, University of Notre Dame, 

Anand Gopal, University of Maryland,

Jan Recker, University of Cologne, 

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 is ubiquitous. Work is increasingly being virtualized, digitalized or even completely automated (Davenport and Kirby 2015). Bots, robots, and autonomous technologies abound – even in some unexpected contexts (Salge and Karahanna 2018; Seidel et al. 2019). Innovation processes themselves are becoming less bounded, more open, less predictable and more fluid (Yoo et al. 2012; Majchrzak and Markus 2013; Nambisan et al. 2017). New forms of venture creation are emerging due to the influence of novel digital technology on entrepreneurship (Nambisan 2017; Autio et al. 2018; von Briel et al. 2018a; von Briel et al. 2018b). 

Our track invites researchers to re-evaluate traditional assumptions and create new theories about how digital technologies shape, change or even upend knowledge of processes and outcomes innovation, entrepreneurship and business models. The IS research community is uniquely positioned to address these issues of the imbrication of technological and social forms of venture and value creation for two reasons. First, the information systems field emphasizes knowledge that attends to both technical and social dimensions of organizing. Second, the design research tradition in information systems focuses on need-solution pairing that involves leveraging digital technologies for novel forms of activities.

The research challenges related to 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 innovative, rigorous, and relevant research from any tradition that advance existing theories as well as seed 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 scientific understanding and practical utility (Rai 2018).  

Topics of interest include, but are not limited to:

  • Digital Innovation 
  • Digital Entrepreneurship 
  • Digital Strategy
  • Digital Product Development
  • New Venture Creation & Technology Ventures
  • Data-Driven Innovation
  • New Business Models
  • Digitizing of Innovation Processes 
  • Digital Change Management
  • Digital Twins 
  • Digital Transformation 
  • Innovation Processes & Strategy for Next-Generation Technologies, including: Artificial Intelligence, Autonomous/Robots, Augmented/Virtual; Blockchain; Internet of Things; Mobile

Associate Editors:

  • Alain Pinsonneault, McGill University, Canada
  • Andreas Eckhardt, German Graduate School of Management & Law, Germany
  • Waifong Boh, Nanyang Technological university (NTU), Singapore
  • 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
  • Hani Safadi, University of Georgia, USA
  • Hannes Rothe, Freie Universität Berlin, Germany
  • Harris Kyriakou, IESE, Spain
  • Heman Subramanian, Florida International University, USA
  • Jean-Gregoire Bernard, Victoria University Wellington, New Zealand
  • Ashish Kumar Jha, ESC Rennes School of Business, France
  • James Denford, Royal Military College, Canada
  • Jonny Holmström, Umeå University, Sweden
  • Kaveh Abhari, San Diego State University, USA
  • Kathyn Brohman, Queen’s University, Canada
  • Tat-Soon Koh, HKUST, Hong Kong
  • Ma Dan, Singapore Management University, Singapore
  • Mareike Möhlmann, Warwick Business School, UK
  • Mariana Andrade, NTU Singapore
  • Milan Miric, University of Southern California, USA
  • Molly Wasko, University of Alabama at Birmingham, USA
  • Robert Gregory, University of Virginia, USA
  • Sandeep Goyal, University of Louisville, USA
  • Sabine Brunswicker, Purdue Polytechnic Institute, USA
  • Sanja Tumbas, IESE Business School, Spain
  • Terence Saldanha, University of Georgia, USA
  • Uri Gal, University of Sydney Australia
  • Xiao Xiao, Copenhagen Business School, Denmark
  • Yang Pan, Louisiana State University, USA

Track Chairs

Margunn Aanestaad, University of Agder,

Minseok Pang, Temple University,

Chee Wee Tan, Copenhagen Business School,

Track Description

Governments around the world are embracing radical transformations with the emergence of new digital technologies in the likes of Artificial Intelligence, Blockchain, Internet of Things (IoT), and Virtual Reality. As part of this trend, cities are also appropriating these new digital technologies to tackle pressing urban challenges and utilize their limited resources effectively. Consistent with the United Nation’s 11th Sustainable Development Goal of making “cities inclusive, safe, resilient and sustainable”, environmental, economic, and social sustainability has become a driving force behind the digitalization of cities. But at the same time, the diversity of digital technologies and socio-economic discrepancies across cities implies that the digitalization of cities has to be context-specific and demands an intricate understanding of how such transformation plays out in a variety of contexts globally.

Accompanying the digitalization of cities is the digitalized transformation of the public sector, compelling us to rethink the way government services are delivered, citizens are engaged, and public agencies create value for their stakeholders. Indeed, the digitalized transformation of the public sector generally and also specifically within the unique contextual boundaries of a given city is challenging contemporary knowledge on the enactment of public policy, the design and implementation of information systems, as well as the management of governmental institutions. Along with rapid advances in technology, it is becoming increasingly critical for information systems researchers to not only better comprehend the effects of digitalization on the intertwining relationships among public agencies, citizens, and businesses, but to also consider these effects within a global lens that takes into account variability in local conditions.

The Digitization in Cities and the Public Sector track is intended for high‐quality papers on the varied dimensions of digital transformation in the public sector. We welcome papers that can contribute to theory and practice by balancing research rigor with pragmatic relevance.

Topics of interest include, but are not limited to:

  • Digital government strategy, policy, and practices
  • Digital innovation and value co-creation in the public sector
  • Digital transformation of the public sector
  • Digitalization and civic engagement
  • Digitalization and public-private partnership
  • Digitalization and inclusion
  • Digitalization and sustainability
  • Smart cities development and sectoral applications
  • Artificial intelligence in the public sector
  • Blockchain technology in the public sector
  • Cloud computing in the public sector
  • Digital identity, privacy, and security in the public sector
  • Internet of Things (IoT) in the public sector
  • Open, linked, and big data in the public sector
  • Novel theoretical and/or methodological approaches to digital government research

Associate Editors:

  • Aleksi Aaltonen, Temple University, USA
  • Sezgin Ayabakan, Temple University, USA
  • Barney Tan, University of Sydney, Australia
  • Boying Li, University of Nottingham Ningbo China, China
  • Prof Carina de Villiers, University of Pretoria, South Africa
  • Yang Chen, Southwestern University of Finance and Economics, China
  • Eric T. K. Lim, University of New South Wales, Australia
  • Gamel Wiredu, Ghana Institute of Management and Public Administration, Ghana
  • Haejung Yun, Ewha Women’s University, Korea
  • Xiang Hui, Washington University in St. Louis, USA
  • Meng Chen, Soochow University, China
  • Karin Axelsson, Linköping University, Sweden
  • Kui Du, University of Massachusetts, Boston, USA
  • Leif Flak, Agder University, Norway
  • Hefu Liu, Univesity of Science and Technology of China, China
  • Meng Liu, Washington University in St. Louis, USA
  • Mengxiang Li, Hong Kong Baptist University, Hong Kong
  • Priyanga Gunarathne, University of Pittsburgh, USA
  • Qiqi Jiang, Copenhagen Business School, Denmark
  • Samuli Pekkola, Tampere University of Technology, Finland
  • Seongmin Jeon, Gachon University, Korea
  • Soo Il Shin, Missouri State University, USA
  • Stephanie Lee, University of Washington, USA
  • Zhao Cai, University of Nottingham Ningbo China, China

Track Chairs

Rob Fichman, Boston College,

Heshan Sun, University of Oklahoma,

Siva Viswanathan, University of Maryland,

Track Description

The unrelenting diffusion of digital technology—such as smartphones, social media, wearable devices, IoT, and digital agents (e.g., Siri and Amazon’s Echo)—impacts almost all aspects of our society, our work, and our lives. We now live in a world deeply infused with and shaped by digital technology, yet many of our core perspectives and theories derive from a time when computers were new and alien to the world. Organizations, groups, and individuals now face many new promises, and new dilemmas, questions, and uncertainties. On the one hand, digital technologies have great potential to transform our lives and enhance the quality of our life in numerous ways. People are getting more and better information for decision-making; organizations can leverage the power of digital technology to make innovations that better serve customers and the society. The societies and nations are increasingly interconnected, and exciting cross-culture sharing is occurring. On the other hand, 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. There exist many uncertainties regarding what digital technology might bring to us. 

This track invites research that brings fresh theoretical, methodological, and practical insights concerning implementation, adoption and use of digital technology in the fast-changing world at individual, organizational, industry, societal, and global levels. The track welcomes papers grounded in a broad range of theories, perspectives, and methodologies and addressing real-world social problems. We welcome papers that use novel theories and use multiple and mixed methodologies including combinations of qualitative and quantitative methodologies in field and lab environments as well as simulation and modeling. This track is open to all methodologies that enhance our understanding of the implementation, adoption and use of digital technologies in various social contexts.

Topics of interest include, but are not limited to:

  • Individual, group, or organizational decisions and processes regarding the implementation, adoption and use of digital innovation;
  • Novel philosophical/theoretical/methodological perspectives to tackle the issues of the implementation, adoption and use of digital innovation;
  • Implementation, adoption and use of digital technology to address social problems such as immigration, the spread of opioids, and digital divide;
  • Theories and accounts of adoption and use phenomena and stages including assimilation/adaptation/routinisation/resistance/rejection/continuance/discontinuance/institutionalisation/normalisation;
  • System usage and post-adoption behaviors, such as infusion, exploitation, and exploration;
  • The dark side of digital technology use such as addiction, abuse, unanticipated outcomes of system use;
  • Digital technology and its impact on human labor force;
  • The implementation, adoption, and use of emerging digital technologies such as blockchain, gamified systems, smart devices, robotics, AI systems, intelligent homes, spatial systems, cloud computing systems, with context-specific factors being considered;
  • Digital technology in various industrial contexts such as healthcare, cybersecurity, and financial services, and e-government;
  • Feature-level digital technology adoption and use;
  • Global or cross-cultural perspectives;
  • The impact of consumers’ home and personal use of digital technology on industry transformation and corporate business models;
  • The merging of individual and organization spheres; 
  • Governmental, community and organization wide strategies to promote the diffusion of digital technology.

Associate Editors:

  • Adela Chen, Colorado State University
  • Alexander Maedche, KIT, Germany
  • Wenjing Duan, Georgia Washington University, USA
  • Tracy Ann Sykes, University of Arkansas, USA
  • Anand Jeyaraj, Wright State University, USA
  • Elizabeth White Baker, Virginia Commonwealth University, USA
  • Carol Hsu, Tongji University, China
  • Caroline Salge, Wake Forest University, USA
  • Elina H. Hwang, University of Washington, USA
  • Christian Maier, University of Bamberg, Germany
  • Sven Laumer, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
  • Gregory Rose, Washington State University Vancouver, USA
  • Hillol Bala, Indiana University, USA
  • Hong Guo, University of Notre Dame, USA
  • Huigang Liang, University of Memphis, USA
  • Hong Xu,
  • Hong Kong University of Science and Technology, Hong Kong (China)
  • Jim Burleson, Cal Poly, USA
  • J.J. Po-An Hsieh, Georgia State University, USA
  • Jake London, Loyola University Maryland, USA
  • Kalle Lyytinen, Case Western Reserve University, USA
  • Lucy Yang, University of Arizona, USA
  • Matt Jensen, University of Oklahoma, USA
  • Mala Kaul, University of Navada – Rino,
  • Nigel Melville, University of Michigan, USA
  • Ofir Turel, California State University- Fullerton,
  • Zhongyun (Phil) Zhou, Tongji University, China
  • Quang Bui, Rochester Institute of Technology, USA
  • Ramanath Subramanyam, University of Illinois, USA
  • Shun Ye, George Mason University, USA
  • Melody Zou, University of Warwick, UK
  • Weiling Ke, Clarkson University, USA
  • Yulin Fang, City University of Hong Kong, Hong Kong (China)
  • Saggi Nevo, University at Albany, USA
  • Dobin Yim, Loyola University Maryland, USA

Track Chairs

Rajiv Kohli, College of William & Mary,

Ting Li, Rotterdam School of Management,

Sean Xu, Tsinghua University,   

Track Description

Advances in information technologies (IT) have fundamentally changed the way firms incept, formulate, and execute strategies for competitive advantages, a trend that is only to accelerate in the coming decades. In fact, recent developments in machine learning, Internet of Things, and digital platforms compel firms to continuously reassess how to invest in, manage, and appropriate the value from information systems (IS). For example, cloud computing and consumerization of digital technologies allow ordinary employees with little technology knowledge to adopt and implement IS on their own, posing challenges in governance of IT and assessment of value from the systems. Automation of business processes with machine learning enables firms to maximize operational efficiencies to the extreme and further augment strategic agility. Commercialization of artificial intelligence offers a whole new range of business opportunities, possibly rendering competitive landscapes even more turbulent and dynamic than before. Firms utilize digital technologies to eliminate structural bottlenecks that fundamentally limit supplies or demands, unleashing untapped demands or supplies.

We invite thought-provoking, original research articles that expand and challenge our understanding of strategic management, IS governance, and value of IS. We are expecting high-quality research that either develops a new theoretical framework for strategy, governance, and value of IS or provides interesting, surprising empirical findings for the track theme with rigorous execution. New interdisciplinary approaches with strategic management, economics, or organizational theory literature and/or with data-driven analytical methods are particularly welcomed. We also require that submitted papers offer meaningful, actionable implications for practitioners.

Topics of interest include, but are not limited to:

  •       IS strategy and governance processes
  •       IS demand-shaping for strategic alignment
  •       Risks of the “alignment trap” and impact on IS value
  •       Issues in assessing value of IS and how to resolve them
  •       Impact of digitalization on IS strategy and governance
  •       Governance of IT projects including traditional and open source software development
  •       Management of globally distributed IT projects
  •       Emerging business models and their evolution
  •       Impact of IT-enabled business transformation Digital business ecosystem
  •       Appraisal of value in advanced digital technologies
  •       Governance of digital infrastructures enabled by emerging technologies such as AI, blockchain, etc.

Associate Editors:

  • David Preston, Texas Christian University, US
  • Dimitrios Tsekouras, Erasmus University, The Nethelands
  • Fei REN, Peking University, China
  • Xunhua GUO, Tsinghua University, China
  • Peng HUANG, University of Maryland, US
  • John DONG, University of Groningen, The Nethelands
  • Jonathan Whitaker, University of Richmond, USA
  • Prasanna Karhade, University of Hawaii, US
  • Zhijie LIN, Tsinghua University, China
  • Monideepa Tarafdar, University of Lancaster, UK
  • Magno Queiroz, Utah State University, US
  • Nakul Gupta, Management Development Institute, India
  • Pankaj Setia, University of Arkansas, US
  • Rahul Singh, University of North Carolina, Greensboro, USA
  • Torsten-Oliver Salge, RWTH Aachen University, Germany
  • Sarv Devaraj, University of Notre Dame, USA
  • Seth Li, William & Mary, USA
  • Stephan Kudyba, New Jersey Institute of Technology, USA
  • Sujeet Kumar Sharma, Indian Institute of Management, Trichy, India
  • Xianghua LU, Fudan University, China
  • Xinlin TANG, Florida State University, US
  • Xuan Ye, Boston College, US
  • Yixin Lu, George Washington University, US
  • Dainis Zegners, Erasmus University, The Nethelands
  • Olga Slivko, ZEW, USA
  • Dominik Gutt, Erasmus University, Netherlands
  • Michail Batikas, Rennes School of Business, France

Track Chairs

Geneviève Bassellier, McGill University,

Julia Kotlarsky, University of Auckland,

Sridhar Nerur, University of Texas at Arlington,

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 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 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 occurs. We welcome all types of research, including empirical, conceptual, and simulation-based studies that address social and technical aspects of IS development and project management at the organizational, group and individual levels.

Topics of interest include, but are not limited to:

  • Project management and IS development in specific contexts, such as AI and robots
  • Agile, lean, and DevOps approaches to IS development and project management
  • Privacy and security issues in IS development, including cyber-security
  • Regulation and compliance issues in IS development and project management
  • Socio-technical aspects of IS 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, and team dynamics
  • Managing collocated and distributed IS projects and teams
  • Role of stakeholders in IS development and implementation
  • IS project management capabilities, competence, and maturity
  • Leadership challenges and politics in IS project management
  • Managing organizational change in the context of IS development and project management
  • Novel theoretical perspectives and research approaches that broaden or question our understanding of IS development and project management
  • Role of AI/ML and robotics in ISD and project management

Associate Editors:

  • Aleksandre Asianati, University of Gothenburg, Sweden
  • Bart van den Hoof, Vrije University Amsterdam, Netherlands
  • VenuGopal Balijepally, Oakland University, USA
  • Bogdan Negoita, HEC Montreal, Canada
  • Cecil Chua, Missouri University of Science and Technology , USA
  • Daniel Gozman, University of Sydney, Australia
  • Eleni Lioliou, Queen Mary University of London, UK
  • Esko Penttinen, Aalto University, Finland
  • Ilan Oshri, The University of Auckland, New Zealand
  • Samuel Jayarajan, The University of Texas at Arlington, USA
  • Kannan Mohan, Baruch College, USA
  • Lan Cao, Old Dominion University USA
  • Leo Vijayasarathy, Colorado State University, USA
  • Mohammad Moeini Aghkariz,
  • University of Sussex, UK
  • Mali Senapathi, Auckland University of Technology, New Zealand
  • Muriel Mignerat, University of Ottawa, Canada
  • Dorit Nevo, Rensselaer Polytechnic Institute, USA
  • Oliver Krancher, IT University of Copenhagen, Denmark
  • Sean Hansen, Rochester Institute of Technology, USA
  • Kai Spohrer, University of Mannheim, Germany
  • Sutirtha Chatterjee, University of Nevada – Las Vegas, USA
  • Torgeir Dingsoyr, SINTEF/Norwegian University of Science and Technology (NTNU), Norway
  • Wael Jabr, Georgia State University, USA

Track Chairs

Ola Henfridsson, University of Miami, TBD

Prabhudev Konana, University of Texas at Austin,  

Beibei Li, Carnegie Mellon University,

Track Description

Internet of Things (IoT) technologies are increasingly permeating our lives. IoT forms the fundamental building block of autonomous vehicles, wearables, robots, drones, smart homes, and smart cities.  As a result, the interplay of people, computing, data, and things is evolving. We connect to friends, family members, colleagues, and communities 24/7, and we interact with objects surrounding us, such as our fridge, car, drones, or even robots. Indeed, receiving data from embedded sensors and other similar devices that monitor health conditions and other aspects of life has become integral of our everyday life and routines. In addition, IoT is transforming business strategies (e.g., GE), product design, product development, operations, supply chains, healthcare, environmental monitoring, security, and other services. 

IoT is already ubiquitous and is expected to exponentially grow in its usage. Further, with 5G technology and its ability to connect millions of IoT devices, innovation in products and services is expected to only go up. With IoT and connected world, data are expected to grow exponential requiring new ways to collect, store, process, secure, and analyze for insights and prediction. McKinsey Global Institute expect the global economic impact to be as much as $11 trillion per year by 2025 across various sectors. With the growth of IoT and connected world, many interesting research issues arise that span data science, organizational, behavioral, design, and economics. This track will address a number of issues related to IoT and connected world. Topics of interest include, but are not limited to:

Topics of interest include but are not limited to:

  •   IoT platforms: core interaction, architecture, and governance
  •   Implications to firm’s product and service strategies
  •   Assessing business value of IoT
  •   Measuring effectiveness and outcomes of smart cars, smart homes, and smart devices
  •   Mobile-based marketing and other consumer targeting strategies
  •   Autonomous vehicles and safety outcomes
  •   Privacy and Ethics from using IoT 
  •   Entrepreneurship, innovation, and organizational capabilities required to exploit pertinent innovations in IoT
  •   Design concepts for IoT devices
  •   Challenges in managing IoT data to insure trustworthiness, provenance and privacy
  •   Protocols and security challenges for interconnecting IoT devices
  •   Application of blockchain in IoT application 
  •   Empirical accounts of human agents, data, algorithms, and mobile/voice devices and their relationships and interactions
  •   Technical challenges in improving reliability, dependability, and interoperability

Associate Editors:

  • Wen Wen, University of Texas – Austin, US
  • Zhe Zhang, University of C San Diego, US
  • Andreas Janson, University of Kassel, Germany
  • Anuj Kumar, University of Florida, US
  • Ashish Agarwal, University UT Austin, US
  • Bin Zhang, University of Arizona, US
  • Gongtai Wang, University of Queensland, AU
  • André Hanelt, University of Kassel, Germany
  • Hope Koch, Baylor University, US
  • Jyoti Choudrie, University of Hertfordshire, UK
  • Jason Chan, University of Minnesota, US
  • Jonathan Ye, University of Waterloo, CA
  • Jonas Andersen, IT University of Copenhagen, Denmark
  • Jyoti Jagasia, SP Jain Business School , India
  • Tricia Moravec, University of Texas – Austin, US
  • Philipp Hukal, Copenhagen Business School, Denmark
  • Tuure Tuunanen, University of Jyvaskyla, Finland
  • Uttara Ananthakrishnan, University of Washington at Seattle, US
  • Vibhanshu Abhishek, University of California – Irvine, US
  • Vilma Todri, Emory University, US
  • Will Venters, London School of Economics, UK
  • Xitong Guo, Harbin Institute of Technology, China
  • Yingjie Zhang, University of Texas – Dallas, US
  • Natasha Zhang Foutz, University of Virginia, US

Track Chairs

Indranil Bardhan, University of Texas at Austin, 

Varun Grover, University of Arkansas,

Balaji Padmanabhan, University of South Florida,

Ulrike Schultze, Southern Methodist University,

Track Description

Proliferation of unique and interesting digital phenomena and the explosion of data has created numerous opportunities for IS researchers to provide new methodological and theoretical insights.  This track reflects advanced in research methods across all IS traditions: behavioral, economics, organizational, design science and data science/computational as well as at their intersections. Any paper that offers new methods that can address IS-related questions is welcome.  This includes, but is not restricted to advances in empirical methods, field and lab experiments, netnographical approaches, machine learning, computational methods, grounded theory, statistical models and econometrics, causal inference, data and text mining, predictive/prescriptive analytics, visual analytics, and crowdsourcing.  

Contributions in methods can be motivated by establishing shortcomings of extant approaches or could have the ability to address entirely new problems or applications relevant to the emerging digital world, including business and societal challenges.

Articles in this track are expected to fall into one or more of these broad categories:

  • New methodological approaches that build on structured and unstructured data
  • Novel data science and analytic theories, algorithms and methods
  • Emerging methods and tools in design science research
  • Advances in economic analysis that provide novel insight
  • Advances in psychometric methods
  • New approaches to theorizing and philosophy of science
  • Methodological challenges and opportunities in IS research
  • Inter-disciplinary methods to study emerging IS problems and applications 
  • Novel methodological approaches that combine and integrate diverse methods (e.g., using computational tools in grounded theory approaches)
  • Changing standards of statistical rigor

Associate Editors:

  • Yong Ge, University of Arizona, USA
  • Marko Niemimaa, University of Jyväskylä, Finland
  • Antino Kim, Indiana University, USA
  • Arvind Karunakaran, McGill University, Canada
  • Byungtae Lee, KAIST, Korea
  • Cathy Urqhart, Manchester Metropolitan University, UK
  • Carsten Oesterlund, Syracuse University, USA
  • Chewei Liu, Indiana University, USA
  • Danish Saifee, University of Alabama, USA
  • Dirk Hovorka, University of Sydney, Australia
  • Franck Loic Soh Noume, University of North Carolina, Greensboro, USA
  • Hartmut Hoehle, Manheim University, Germany
  • Jiangning He, Shanghai University of Finance & Economics, China
  • Israr Qureshi, The Australian National University, Australia
  • Jessica Pye, Arizona State University, USA
  • Junming Yin, University of Arizona, USA
  • Jingyuan Yang, George Mason University, USA
  • Otto Koppius, Erasmus University, Netherlands
  • Olivera Marjanovic, University of Technology Sydney, Australia
  • Onkar Malgonde, Northern Illinois University, USA
  • Rikard Lindgren, University of Gothenburg, Sweden
  • Sebastian Boell, University of Sydney, Australia
  • Sagar Samtani, University of South Florida, USA
  • Taha Havakhor, Temple University, USA
  • Ulrich Frank, University of Essen, Germany
  • Weifeng Li, University of Georgia, USA
  • Catherine Yang, University of California at Davis, USA
  • Jin Zhang, Renmin University, China
  • Nikhil Bandodkar, South Carolina State University, USA

Track Chairs

Zhenhui (Jack) Jiang, Hong Kong University, 

Miguel Godinho Matos, Catolica Lisbon School of Business & Economics,

Wonseok Oh, Korea Advanced Institute of Science & Technology,

Track Description

The contemporary and ongoing diffusion of digital technologies, e.g., mobile and distributed computing, social media, digital platforms, data analytics, artificial intelligence (AI), blockchains, IoT (Internet of Things), cloud computing, generate new possibilities for digital commerce, i.e., buying and selling of goods and services enabled and facilitated by digital technologies. It involves marketing activities that support these transactions, such as promotion, pricing, customer acquisition and retention, as well as customer activities at all touchpoints throughout their buying journey, such as purchase, content creation, and negotiation. This track is interested in papers that enhance knowledge of the design, implementation, and evaluation of emerging digital technologies in various commercial contexts, e.g., business-to-business and business-to-consumer commerce, financial service, and sharing economy applications. 

Digital technology is not limited to facilitating buyer and seller transactions; rather, it is 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, and the Internet of Things that not only connects people but machines as well, opportunities to study the organizational aspects of e-business continue to expand. It calls for the development of relevant empirical and theoretical research into the managerial challenges faced by digitally connected enterprises and the innovation of business models, processes, products, and services supported by an increasing integration of new information technologies and new organizational practices. 

This track welcomes papers that improve our understanding of the technical, behavioral, design, strategic and economic issues associated with Digital Commerce and the Digitally Connected Enterprise. It encompasses studies of IT-enabled transactions between consumers, businesses, and other organizations, as well as the use of digital technologies within and across organizations. We are especially interested in papers that advance theory and practice for emerging technologies and dispersed and platform-based organizational settings. We welcome submissions from all IS traditions and methodological approaches (analytical work, experiments, qualitative studies, design science, and so forth).

Topics of interest include, but are not limited to:

  • Auctions and pricing mechanisms in e-business
  • Artificial intelligence in digital commerce
  • Big data analytics in digital commerce
  • Business, data and process modeling in intra- and inter-organizational collaborations
  • Digital infrastructure in e-business and e-commerce 
  • Entrepreneurship, novel business models and new marketplace created by the use of digital technology
  • Emerging technology and online consumer behavior
  • FinTech (Financial Technology) in e-business (e.g., payment systems, robo-advisors, cryptocurrency, and credit scoring methods)
  • Information goods and digital marketplaces
  • IOT (Internet of Things) and ubiquitous commerce
  • 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 
  • Social commerce, and collaborative consumption
  • Trust, privacy and security issues in digital commerce

Associate Editors:

  • Angela Choi, Florida State University, USA
  • Alejandro Zentner, University of Texas Dallas, USA
  • Ben Choi, Nanyang Technological University, Singapore
  • Carmen Leong, UNSW Business School, Australia
  • Chao Ding, University of Hong Kong, China
  • Cheng Luo, Tianjin University, China
  • Christian Peurkert, Catolica Lisbon School of Business and Economics & ETH Zurich, Portugal and Switzerland
  • Christy Cheung, Hong Kong Baptist University, China
  • Choon Ling, SIA City University of Hong Kong, Hong Kong
  • Daegon Cho, KAIST, Korea
  • David Xu, City University of Hong Kong, China
  • Hyunji So, McGill University, Canada
  • Jaehwuen Jung, Temple University, USA
  • Jane Tan, Indiana University, USA
  • Jorg Claussen, Ludwig-Maximilians-Universität München & Copenhagen Business School, Germany & Denmark
  • Jie YU, Nottingham University Business School China, China
  • Lanfei Shi, University of Virginia, USA
  • Luis Aguiar, University of Zurich, Switzerland
  • Michael Kummer, UEA in Norwich and Georgia Tech, UK and USA
  • Mingdi Xin, University of California – Irvin, USA
  • Mochen Yang, University of Minnesota, USA
  • Mohammad Saifur Rahman, Purdue University, USA
  • Dandan Qiao, National University of Singapore, Singapore
  • Seung Hyun Kim, Yonsei University, Korea
  • Sang Pil Han, Arizona State University, USA
  • Shachar Reichman, Tel Aviv University, Israel
  • Sofia Bapna, University of Minnesota, USA
  • Fujie Jin, Indiana University, USA
  • Tianshu Sun, University of Southern California, US
  • Wei Chen, University of Arizona, USA
  • Youngsok Bang, Yonsei University, Korea
  • Yongsuk Kim, HUFS Business School, Korea
  • Hilah Geva, New York University , USA
  • Xinxin Li, University of Connecticut, USA

Track Chairs

Andrew Burton-Jones, The University of Queensland,

Vijay Guarbaxani, University of California, Irvine,

Youngjin Yoo, Case Western Reserve University, USA,

Track Description

Panels afford the opportunity to discuss timely topics that are important, provocative, and contested. A good panel engages the audience and invited experts in a discussion that stimulates interaction and significantly advances attendees’ understanding of a complex 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 dilemma that will be discussed.
  • Panellists: 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 simulative. 
  • 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; 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 interests of 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 2020 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:

  • Andrew Schwarz, Louisiana State University, USA
  • Camille Grange, HEC Montreal, Canada
  • Jiayin Qi, Shanghai University of International Business & Economics, China
  • Saeed Akhlaghpour, University of Queensland, Australia
  • Hau Trieu, Deakin University, Australia
  • Young Bong, Sungkyunkwan University | SKKU, Korea
  • YoungKi Park, George Washington, USA
  • Zhewei Zhang, The university of Warwick, UK

Track Co-Chairs

Jens Dibbern, University of Bern,

Roger Chiang, University of Cincinnati,

Khim Yong Goh, National University of Singapore,

Track Description

The Professional Development Workshops (PDW) Track is different from other ICIS tracks in that they seek to offer  both research and teaching workshops, and other active learning modalities for a variety of topics related to the information systems (IS) discipline. The track objective is to facilitate PDW sessions that actively engage ICIS participants so as to develop, update, and enhance their professional skills in teaching and research.

research PDW might tackle theories or methods relevant to any IS research traditions – behavioral, organizational, economics, design, and data science by providing participants with an expert-led ‘grand tour’ of research in this area or a debate on it. A teaching PDW might illustrate a new technology-enabled technique that is presented in a hands-on manner to mirrors how it might be used in classes for business education. 

PDW sessions in this track need to be different from ICIS panels.

The PDW proposal must not exceed ten pages (10) (all inclusive) and must conform to the ICIS 2020 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.

Review Criteria

Topic: The topic draws a strong audience

– Learning Experience and Format: The tutorial session offers an active learning experience of high relevance to the professional development of the participants – Interaction/Participation: High potential for interaction between and participation among attendees

– Creativity/Innovation: The design displays novelty

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

Required Elements of PDW Proposals:

  1. Topic
  2. Abstract
  3. Relevance for ICIS 
  4. Organizers: Names and positions of those who will organize a PDW session
  5. PDW Introduction: General description of the topic, who the specific audience is, goals, and take away of the PDW (e.g., better understanding of a method, theory or subject; promotion of disciplinary convergence among participants)
  6. PDW Description: Description of the topic areas and the information and material will be covered
  7. PDW Structure: Description of presenters and segments that make up the PDW session and their timing, as well as the format of interaction among presenters and the audience.
  8. References

Track Chairs

Sunil Mithas

Priya Seetharaman

Track Description

The information systems discipline seeks to create and share academically rigorous and practically relevant knowledge to professionals in the IT industry in supporting their efforts to deliver impactful technology solutions to organizations.  The IT industry track at ICIS 2020 aims to bridge the research-practice gap drawing the attention of researchers to industry relevant challenges and that of practitioners to actionable research findings.  

The IT Industry Track is unique to ICIS 2020 to be held at Hyderabad, a reflection of the prominence that India as a country has achieved in the world’s IT industry.  India’s success as a global software exporter has often been attributed to the industry’s visionary leadership; readily available capable human resources; the design of the outsourcing, offshoring, global delivery model; and more recently, the shift from the pure services models to lean and agile product-centric digital-focused business models.

This track is also hosting a Symposium for IT Practitioners titled “Digital Dynamics” (link to be provided)

Overall, this track aims to:

  • Showcase and promote IT practice-oriented thought leadership
  • Identify challenging managerial issues for IT professionals
  • Provide IS researchers a platform to present and discuss their practice-oriented research
  • Extend the reach of ICIS to Business Technology professionals

This track welcomes submissions on any topics that are highly relevant and useful to practicing IS/IT executives in the digital economy. Given that this is a practitioner track, we encourage papers that are primarily authored by practitioners. However, we will also accept papers that are co-authored with at most one academic author. In such cases, we require that the first author be a practitioner and the paper be presented by the practitioner author. 

Submissions that kindle the interest of IS academicians and draw their attention to concerns of practitioners that can potentially be addressed by academic research are also welcome. All papers should address a specific, real-world IT industry relevant challenge or opportunity.

The track invites papers from practitioners on the following themes:

  • Formulating and Executing Digital Strategies and Transformations
  • Digital Governance
  • Emerging Tech Trends
  • Creative ICT artefacts and solutions
  • Human-centric Design
  • Process and Product Innovations in the IT industry
  • Grassroots hi-tech innovations
  • Digital @ Scale
  • Delivery models for the Digital
  • Contemporary Business models in the IT industry
  • Education Technology (Edtech) and Learning Ecosystems
  • Shifting Profiles; Decoding Full-Stack
  • Making IT initiatives value-sensitive 
  • Digital Dilemmas 
  • Rethinking Industry Regulations
  • Challenges facing the global IT industry

Review Process

The IT Industry track will follow the guidelines for review as is followed for all ICIS 2020 tracks.  Submissions will be sent for peer review to academicians and industry practitioners. All submitted papers will be specifically screened for relevance and usefulness to IT/IS practice; and attractiveness to the ICIS 2020 audience.

Paper Length and Format

Papers must not exceed eight (8) pages (all inclusive) and must conform to the ICIS 2020 submission template. Submissions must be written in a manner that is accessible to industry practitioners.

Structuring your paper

Short lead in

Motivate the reader in 2-3 sentences. Why should they read the article? What you write should resonate closely with them; What is a problem that you are now going to help them solve expressed in terms of value to them

Short introduction to topic

Frame the topic of the article.

Main content

Describe the context, the main case study, the framework or artifact.  Use different sections to highlight key issues and solutions. It is also important to present broad generalized lessons learned from the issue or case presented along with recommendations for similar situations.

Actionable guidelines

Actionable guidelines aim to educate the reader what to actually do, or what to change.  For example, if getting employee commitment is important to resolve an issue, say how to get the required level of commitment.

Associate Editors:

  • Ramasubramanian Sundararajan, Cartesian Consulting Pvt Ltd, India
  • Mariana Andrade, Nanyang Technological University, Singapore
  • Atul Saroop, Amazon, India
  • Shankar Prawesh, Indian Institute of Technology Kanpur, India
  • San Murugesan, Western Sydney University, Australia
  • Mahesh Ramamani, IBM , India
  • Vivek Nandey, Cognizant Technology Solutions, USA
  • Christoph T. Schmidt, Boston Consulting Group, USA
  • John Effah, University of Ghana Business School, Ghana
  • Chaitanya Sambhara, University of Texas Arlington, USA


Track Chairs

Panayiotis Constantinides, Manchester University,
James Gaskin, Brigham Young University,
Anjana Susarla, Michigan State University,


The Paperathon 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 then. The goal of this “paper hackathon” is to facilitate new research collaborations, help scholars develop their research abilities while making new professional connections, and—for the most promising projects—to accelerate a publication review process.

The Paperathon traditionally begins with an intense two-day working session where researchers are organized into interest-related project teams to collaborate under the mentorship of prominent IS scholars. This initial two-day workshop phase concludes with sufficiently prepared groups pitching their research projects to a panel of journal editors. Then, up to three papers are selected to make a full presentation in a conference session. Finally, after ICIS concludes, one or more of the presented papers may be invited for a fast-tracked review process for possible publication in the Journal of AIS. For an exceptional project, the resulting paper could appear in publication as quickly as six months. However, this year will be unique, due to the virtual aspect of ICIS. This year the networking and “research hacking” will take place over a full week, and then there will be a couple days for finalists to prepare for the full presentation.

Pre-ICIS: Applying – If the event is appealing to you and you can commit to participating in full, you are highly encouraged to apply—there are no restrictions on who can apply to the Paperathon. The application process consists of completing a survey ( in order to identify what interests, abilities, and resources you can contribute to a project team (e.g., data, methods, perspectives, and domain expertise). We encourage participants to arrive at ICIS (virtually) 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 project mentor. Please note that already completed or nearly completed papers will not be considered as a valid project for a group to work on. You may bring ideas, data, and other expertise, but not a paper that has already been, or is nearly, completed. If a paper is truly still in the formative stages, then it is welcome. However, there is no guarantee that a group and its mentor will choose to work on your work in progress; so please come with an open mind and willingness to contribute to whatever your group collectively decides to pursue.

The application deadline is October 1st, 2020, 11:59 pm EDT (New York time).

Agenda for Virtual Paperathon

October 1st Apply via survey:
October 21st Chairs, via email, confirm acceptance into the Paperathon.

Anyone who applies should be admitted, barring exceptional cases (such as admission of inability to fully participate)

December 1st Chairs organize participants into groups
December 5th Chairs distribute video introducing all mentors

Groups meet virtually and get to know each other, and decide on the best project to push forward.

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.

December 6th Groups submit short (less than 3 minutes) draft-quality video to pitch ideas to mentors (just screen recording slides with narration)
December 7th Mentors watch short videos and select their preference for which group to mentor (rank order preference)


December 8th Mentors assigned by Chairs based on rank preference.
December 9th Mentors meet with groups and decide the best path forward.

In-depth working session of group and mentor to brainstorm, filter, and refine paper ideas and identify a work plan.

Mentor and group should reach mutual understanding about potential for future mentor involvement in the project (e.g., continued involvement and/or interest in co-authorship collaboration, or nothing)

December 10th Group members work together to craft an extended abstract and prepare a pitch presentation. Work hard. Have fun. There are only 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.

Groups submit new, better video (5 minutes max) to explain their project, progress, and path forward.

December 11th Judges view and rank videos in terms of publishability (idea quality and execution feasibility)

The top three finalist papers will be published in the ICIS 2020 Paper-a-Thon section of the AIS Library. After further development of the paper during the conference, these project teams will present on the last day of ICIS and may also be considered for fast-track review for the Journal of AIS.

December 14th Finalist groups notified
December 14th-15th Finalists prepare conference-ready presentation
December 16th Finalists present in official ICIS paper session
Post-conference If invited, finalists prepare for JAIS journal submission,
James Gaskin as guest senior editor