Track Descriptions

Information Systems - The Heart of Innovation Ecosystems (Conference Theme Track)

Track Chairs

Stefan Henningsson

Copenhagen Business School, Denmark

sh.digi@cbs.dk

Eric T.K. Lim

UNSW Sydney, Australia

e.t.lim@unsw.edu.au

Ping Wang

University of Maryland, College Park, USA

pwang@umd.edu

Track Description

The year 2019 marks the 50th anniversary of the birth of the Internet. As the Internet grows and evolves, our world has become increasingly interconnected. It started with the connections among computers, followed by those of mobile phones, and increasingly by other digital devices and objects to constitute the “Internet of Things,” linking people, groups, and organizations, and bridging communities, nations, and societies. These interconnected resources, actors, and their actions have spawned numerous innovative technologies, applications, products, and services. The relationships among the interconnected resources and actors mimic the interdependent and coevolving species in an ecological system. Therefore, the sets of interconnected entities involved in developing and utilizing innovations are often called “innovation ecosystems.”

There are different types of innovation ecosystems. Firms like Amazon, Facebook, Google, and Apple cultivate their own ecosystems consisting of app developers, accessory makers, content providers, and end users, all innovating with these firms’ respective foundational products or technologies, as platforms. Others, including nonprofits, companies, academic institutions, government agencies, and so on, are interacting with each other to develop and spread innovations in specific product/service categories, sectors, or geographical regions (such as in the ecosystems for cloud computing, healthcare, or the Silicon Valley, respectively).

Regardless of their different emphases and scopes, all innovation ecosystems share the same heart – Information Systems (IS) powered by digital technologies. IS are essential to all innovation ecosystems not only because IS collect, process, and archive data and information as indispensable “nutrients nourishing” the members of the ecosystems, but also because IS can vastly reduce the cost of coordination among interdependent entities in the ecosystems. Most importantly, the very innovation in each ecosystem is enabled by IS. Without digital technologies, business processes, and the developers and operators that comprise IS in Twitter or Uber, for instance, innovative social media or ride-hailing services that these companies offer respectively would not have been possible.

From this premise, important questions arise at the nexus between IS and innovation ecosystems. Foremost, while natural ecosystems are confined by geographical boundaries, innovation ecosystems enabled by digital technologies do not have clearly defined boundaries, presenting challenges for both practice and theorization. What does membership of an innovation ecosystem entail? How to properly define the fuzzy and dynamic boundaries of an innovation ecosystem? Second, diverse entities such as resources, actors, and artifacts coexist in an innovation ecosystem and these entities interact through different processes. How to monitor and measure the changes in the structure of an innovation ecosystem? What structure of an innovation ecosystem is efficient? Should IS architecture and ecosystem structure be aligned for optimal system performance? Third, what are the performance criteria of an innovation ecosystem and how to measure performance? How can IS help monitor and enhance ecosystem performance? Lastly, in order to achieve optimal performance, an innovation ecosystem must be healthy, internally maintaining member contributions and system services in equilibrium, and externally buffering against changes in the environment. What internal and external factors influence the health of an innovation ecosystem? How can IS moderate such influences or shape the ecosystem’s health? Many other questions about the relationship between IS and innovation ecosystems remain underexplored or unanswered.

The 2019 ICIS conference theme track welcomes all types of research papers that offer fresh theories, novel methods, and/or practical solutions for fostering innovations through IS-powered ecosystems.

Topics of interest include, but are not limited to:

• Artificial intelligence ecosystem

• Autonomous vehicle ecosystem

• Blockchain ecosystem

• Cloud computing ecosystem

• Community innovation ecosystem

• Digital business ecosystem

• Digital innovation ecosystem

• Drone ecosystem

• FinTech ecosystem

• Health IT/healthcare ecosystem

• Information/digital infrastructure and innovation ecosystems

• Innovation ecosystem conceptualizations

• Innovation platform and ecosystem

• Internet of things ecosystem

• IS-enabled innovation ecosystems in the public sector

• IT innovation landscape

• IT/IS and entrepreneurial ecosystem

• IT/IS and innovation ecosystem resilience

• IT/IS architecture and innovation ecosystems

• Management/Governance of IS enabling innovation ecosystems

• Mobile innovation ecosystem

• Nonprofit organizations as IS-enabled innovation ecosystems

• Participation in innovation ecosystems

• Product innovation ecosystem

• Service innovation ecosystem

• Social innovation ecosystem

• Supply-chain and trade-lane innovation ecosystem

• Theory of digital innovation ecosystem

Associate Editors

• Zhao Cai, University of Nottingham Ningbo, China

• Robert Fichman, Boston College, USA

• Ahmad Ghazawneh, IT University of Copenhagen, Denmark

• Andre Hanelt, University of Kassel, Germany

• Thomas L. Huber, University of Bern, Switzerland

• Hope Koch, Baylor University, USA

• Hefu Liu, University of Science and Technology of China, China

• Yong Liu, Aalto University, Finland

• Sandeep Mysore, Seshadrinath UNSW Sydney, Australia

• Chee-Wee Tan, Copenhagen Business School, Denmark

• Yenni Tim, UNSW Sydney, Australia

• Michael Wessel, Copenhagen Business School, Denmark

• Philip Wu, Royal Holloway, University of London, UK

• Zhijun Yan, Beijing Institute of Technology, China

• Ruilin Zhu, Lancaster University, UK

The Future of Work

Track Chairs

Damien Joseph

Nanyang Technological University, Singapore

adjoseph@ntu.edu.sg

Nishtha Langer

Lally School of Management, Rensselaer Polytechnic Institute, USA

langen@rpi.edu

Mari-Klara Stein

Copenhagen Business School, Denmark

ms.digi@cbs.dk

Track Description

Technological developments continue to reshape how work is designed, performed, and managed at individual, organizational, and societal levels. Traditional employment arrangements are increasingly becoming contingent, flexible, and distributed. The accelerated digitalization of information is pushing many organizations away from the established archetype of 9-5 office work towards more contemporary approaches to work. Exemplars of contemporary approaches to work include 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.

The 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. There is a concern among workers that whole classes of job roles and occupations are at risk of extinction, while demand for other job roles in other occupations grow at an increasing rate. Workers in these jobs will need to adapt their skills portfolio and careers to remain employable. At the same time, the meaning of work and employment are shifting as the new generation of digital natives reconfigure the future of work.

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

Topics of Interest include, but are not limited to the following in relation to the future of work:

– Automation and augmentation of work

– People analytics and algorithmic management

– Emerging and shifting portfolio of skills and professional development

– Managing professional obsolescence

– Meaning of work in digital workplaces

– Management of work and workers in a digitized work environment

– New forms of technology-enabled work arrangements

– Emerging new careers and patterns of careers

– Digitalization and job mobility

– Digitalization and the future of occupations

– Sharing economy and peer to peer work arrangements

– New practices and forms of leadership in digital workplaces

– Structural mechanisms, policy, and regulation to legitimize digital work

Associate Editors

• Deborah Armstrong, Florida State University, Tallahassee, USA

• John Baptista, Warwick Business School, UK

• Sagit Bar-Gill, Tel Aviv University, Israel

• Nancy Deng, California State University, Dominguez Hills, USA

• Andreas Eckhardt, German Graduate School of Management and Law, Germany

• Uri Gal, University of Sydney, Australia

• Indira Guzman, Trident University, USA

• Ella Hafermalz, Vrije Universiteit Amsterdam, Netherlands

• Warut Khern-am-nuai, McGill University, Canada

• Keongtae Kim, Chinese University of Hong Kong, Hong Kong

• Sven Laumer, Friedrich-Alexander-Universität Erlangen-Nürnberg Germany

• Christian Maier, University of Bamberg, Germany

• Sara Moussawi, Carnegie Mellon University, USA

• Jeria Quesenberry, Carnegie Mellon University, USA

• Sam Ransbotham, Boston College, USA

• Benjamin Shao, Arizona State University, USA

• Harminder Singh, Auckland University of Technology, New Zealand

• Monideepa Tarafdar, Lancaster University, UK

• Mary Beth Watson-Manheim, University of Illinois at Chicago, USA

• Manuel Wiesche, Technical University of Munich, Germany

• Leigh-Ellen Potter, Griffith University, Australia

• Daniel Beimborn, University of Bamberg, Germany

• Chaoqun Deng, University of Missouri, USA

• Ingrid Erickson, Syracuse University, USA

• Louise Harder Fischer, Copenhagen Business School, Denmark

• Frank Lin, California State University San Bernardino, USA

• Yixin Lu, George Washington University, USA

• Francis MacCrory, Fordham University, USA

• Weifang Wu, Copenhagen Business School, Denmark

Sustainability and Societal Impact of IS

Track Chairs

Saonee Sarker

University of Virginia, USA

saonee@virginia.edu

Sarah Spiekermann

Vienna University of Economics and Business

spiek@wu.ac.at

Anjana Susarla

Michigan State University

asusarla@broad.msu.edu

Track Description

Sustainable digitalization implies that societies should have an interest in the long-term value effects of Information Systems. One such value effect is related to the global climate change and natural resource scarcity, which are arguably some of the most critical societal challenges of today. One other effect might be to understand the role of information systems in creating positive values for users and society as well as mitigate the more harmful values. If negative value effects are not considered in the design and use of IS, they can for instance undermine people’s health (through addiction, lack of control, perceptions of helplessness, etc.), dignity (through anonymous work conditions, technology paternalism, etc.) and general wellbeing. At the same time, Information Systems have the power to enhance human lives and create positive value. They can inform a healthy life-style, foster co-operation, make people more knowledgeable, etc.. The IS community is uniquely positioned to address these wide ranges of sustainability issues given its encompassing knowledge of both technical and social dimensions, along with a solution-oriented inclination that has been developed over five decades.

Information systems, whether they revolve around social, ethical, economic, or environmental issues, have the potential to contribute positively to the improvement of the natural environment and of society globally. This track welcomes theoretical, empirical, and interventionist perspectives on the (positive or negative) ecological sustainability of information systems (IS) as well as on the normative underpinnings of IS as an academic discipline and a practice.

We invite rigorous and relevant studies employing a wide variety of methods addressing Green IS, ecological sustainability, and value effects of IS. Empirical (qualitative and quantitative) studies, conceptual papers on theory development, and interventionist research are sought.

Topics of interests include, but are not limited to:

• How does the Internet of people, data and things contribute to a sustainable and ethical society?
• Sustainable processes, business practices, and design of IS
• Green IS solutions for sustainability
• IS for a greener society, government, and/or industry
• Energy informatics
• Successful practices for implementing organization-wide Green IS
• Energy management systems
• IS for a smart grid
• IS to support the electric vehicle transition
• IS to support smart infrastructure and enable development of smart cities
• Designing Internet of things (IoT) based digital data streams to inform Green decision-making and automate energy efficiency actions.
• Values in ICT design and use
• Philosophical perspectives on IS implications for society
• Ethics by Design (or Value based Design; Value Sensitive Design)
• Ethical perceptions of IS use and development
• Ethical and socially responsible research and innovation in IS

Associate Editors

• Charles Melvin, Ess University of Oslo, Norway
• Gordana Dodig-Crnkovic, Mälardalen University, Sweden
• Sabrina Kirrane, University of Vienna, Austria
• Hannes Federrath, University of Hamburg, Germany
• Thomas Hess Ludwig, Maximilians-Universität München (LMU), Germany
• Zinaida Benenson, Friedrich Alexander Universität Erlangen Nürnberg, Germany
• Ben Wagner, University of Vienna, Austria
• Rick Watson, University of Georgia, United States
• Christopher Califf, Western Washington University, United States
• Asli Basoglu, University of Delaware, United States
• Olgerta Tona, Lund University, Sweden
• Stoney Brooks, Middle Tennessee State University, United States
• Alex Wang,  Murdoch University, Australia
• Priya Seetharaman, Indian Institute of Management, India
• Anna McNab, Niagra University, USA
• Yen-Yao Wang, Auburn University, USA
• Chenhui Guo, Michigan State University, USA
• Antino Kim, Indiana University, USA
• Aravinda Garimella, University of Illinois, Urbana Champaign, USA
• Kangkang Qi, Missouri State University, USA
Eun Ju Jung, George Mason University, USA
• Gerald Reiner, University of Vienna, Austria
• Ester Gonzalez, UC Fullerton, USA
• Miranda Kajtazi, Lund University, Sweden•
• Sven Carlsson, Lund University, Sweden
• Bernd Stahl, De Montfort University, UK
• Till Winkler, WU Vienna, Austria
• Xiao Liu, University of Utah, USA
• Stefan Ullrich, Weizenbaum Institut Berlin, Germany

Cyber-security, Privacy and Ethics of IS

Track Chairs

Jason Chan 

Carlson School of Management, University of Minnesota, USA

jchancf@umn.edu

Seung Hyun Kim 

Yonsei University, South Korea

seungkim@yonsei.ac.kr

Hanna Krasnova

University of Potsdam, Germany

krasnova@uni-potsdam.de

Track Description

As companies attempt to enhance the value of their services to customers, a commonly used strategy involves the use of more user data to provide better targeting, personalization, and product recommendation. Despite this positive intent, the collection and storage of more user data comes with heavy corporate responsibilities towards data security, user privacy, and ethical data usage. The improper handling of user data has serious business implications with possible legal, social, and even political consequences. For example, the Cambridge Analytica data scandal showcased the extent of damages that improper data usage can cause, and the negative backlash imposed on a business’s operations and revenues. Under this backdrop, companies in the digital era are faced with the non-trivial task of striking a fine balance between executing data analytics initiatives and ensuring sufficient security/privacy protection. This problem is faced by wide set of stakeholders across industries, as the use of IT systems and user data is ubiquitous and has permeated across almost all aspects of our lives (spanning from government to banking, health to retail management, just to name a few). Moreover, the proliferation of social media and mobile technologies intensifies the concerns of data breaches, user privacy, and information security, yet companies are forced to rely on these platforms and data to stay updated to user needs and remain competitive.

At the same time, with increased online access and usage, a new set of illegal activities and morally questionable practices are now enabled by the Internet. Criminals are finding new ways online to conduct illegal activities like online fraud, identity theft, cyber terrorism, piracy, and transactions of illegal products/services (drugs, sexual solicitation, human trafficking, child pornography). With the democratization of content sharing and access in the online medium, harmful and inappropriate content have begun to fill the online space (e.g., online suicide content such as ‘Blue Whale’ game, live streaming of crimes on social media, hate motivated ideologies, revenge porn, cyberbullying, cyberthreats). More recently, we see the emergence of undesirable outcomes such as discrimination and the spread of fake news on the digital medium. Despite these trends, policies and regulations are not up to date in curbing these new issues. These worrying trends bring important questions to the MIS community: Should online content remain unregulated? Who should be responsible for the screening of inappropriate content online (site owners, user community, or third party government agencies)? What are core guidelines and policies with regards to content/information sharing on online avenues?

As a response to these challenges, this track seeks contributions that attempt to 1) provide a better understanding of the potential security/privacy/ethical issues that may arise from data usage, 2) consequences of these issues on business, social, legal, or political outcomes, 3) possible solutions to address the concerns of cyber-security, user privacy and ethical data usage, and balance these issues with corporate initiatives for enhancing value to users. Given the said challenges are underexplored in emerging online contexts (e.g., AI applications, blockchain technologies, Internet-Of-Things, crowdsourcing/crowdfunding platforms, sharing economy, smartphone apps, social media/networking), we highly encourage the submission of works that are based on these domains. At the same time, we are open towards works that deepen our knowledge of these issues in traditional contexts (e.g., health, finance, banking, ecommerce, online marketing). Submitted manuscripts can draw on any theoretical backgrounds (including but not limited to psychology, economics, sociology, criminology, or computational sciences) and methodological approaches (analytical work, experiments, qualitative studies, design science, and so forth).

Topics of interest include, but are not limited to:

● data security and breaches
● user privacy and confidentiality
● ethical use of user data
● Internet-enabled crimes
● ethically undesirable online practices
● information security policy and compliance
● business, legal, social, political consequences of IS security and privacy
● dark web, live-streaming of crimes, harmful online content, etc.
● surveillance and its impact on security, privacy and ethics in organizations
● fake news, online discrimination
● possible solutions, regulations, policies
● tradeoffs between analytics initiatives and security/privacy concerns

Associate Editors

• Annika Baumann, University of Potsdam, Germany
• Antonia Köster, University of Potsdam, Germany
• Fenne große Deters, University of Potsdam, Germany
• Helena Wenninger, Lancaster University, UK
• Christian Matt, University of Bern, Switzerland
• Tobias Dehling, Karlsruhe Institute of Technology, Germany
• Kathrin Figl, Universität Innsbruck, Austria
• Christian Meske Free University of Berlin, Germany
• Christoph Buck, University of Bayreuth, Germany
• Jens Grossklags, Technical University of Munich, Germany
• Irina Heimbach, Otto Beisheim School of Management, Germany
• Dominik Herrmann, University of Bamberg, Germany
• Christine Bauer, Johannes Kepler, University Linz Austria
• Ali Sunyaev, Karlsruhe Institute of Technology (KIT), Germany
• Jin Gerlach, Technical University Darmstadt, Germany
• Sangmi Chai, Ehwa Women’s University, Korea
• YuanYuan Chen, University of Alabama, USA
• Daegon Cho, KAIST, Korea
• Juhee Kwon, KAIST, Korea
• Byung Cho Kim, Korea University, Korea
• Chulho Lee, KAIST, Korea
• Gene Moo Lee, University of British Columbia, Canada
• Jae Ung (Jake) Lee, Louisiana Tech University, USA
• Sungjune Park, University of North Carolina at Charlotte, USA
• Chul Woo Yoo, Florida Atlantic University, USA
• Qiuhong Wang, Singapore Management University, Singapore
• Marios Kokkodis, Boston College, USA
• Jing Wang, HKUST, China
• Mochen Yang, Indiana University, USA
• Tingting Nian, UC Irvine, USA
• Yicheng Song, University of Minnesota, USA
• Veronica Marotta, University of Minnesota, USA
• Laura Brandimarte, University of Arizona, USA
• Idris Adjerid, Virginia Tech University, USA
• Rui Chen, Iowa State University, USA

Practice-Oriented IS Research

Track Chairs

Hind Benbya

Montpellier Business School, France

H.BENBYA@Montpellier-BS.com

Dorothy E. Leidner

Baylor University and Lund University, USA and Sweden

Dorothy_Leidner@baylor.edu

Shan L Pan 

The University of New South Wales

shan.pan@unsw.edu.au

Track Description

A major mission of the information systems discipline is to produce knowledge that is both academically rigorous and applicable to IS managers. The ICIS practice-oriented research track will contribute to this mission. The track welcomes submissions of practice-oriented IS research on any topics that are highly relevant and useful to practicing IS executives in the digital economy.

Criteria for acceptance of submissions will be similar to those adopted by MISQ Executive, MIT Sloan Management Review and Harvard Business Review. Authors are encouraged to submit in-depth research that provides rich stories, unique insights, and useful conceptual frameworks for managing digital capabilities. The target audience for MISQE is primarily practitioners, but it includes researchers, with a goal of stimulating ongoing discussions at the intersection of research and practice. MISQE also seeks to contribute to the development of future industry leaders. Papers submitted to this track will be specifically evaluated for relevance and usefulness to digital leaders. Submissions are also expected to demonstrate a rigor that makes the findings credible to a discriminating reader.

The Editor-in-Chief of MISQ Executive offers accepted papers of this track an opportunity to go through a fast-track review, development, and publication process at MISQ Executive.

Overall, this track aims to:

• Extend the reach of ICIS to digital leaders
• Showcase our highest quality practice-oriented IS research
• Promote practice-oriented IS research as a key source of insight and guidance for digital leaders
• Provide researchers a platform to present and discuss their practice-oriented IS research findings with digital leaders and academics and expose the community to current challenges in creating value in digital economies
• Help identify the most challenging managerial issues for digital leaders and frame them as new questions that could guide future practice-oriented IS research.

Additional guidance for authors:

If you are not a regular reader of MISQE articles we would advise you to read a few so as to get a sense of their style, structure, focus and content. Some general guidelines for writing such articles include:
• Simplify reality, but don’t be simplistic
• Keep theory and methodology in the background (perhaps include your methods in an appendix, but write it so that it is accessible to non-academic readers).
• Use literature and in-depth evidence to give credibility and generalizability.
Typically, such articles loosely follow this structure:

Short lead in

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

Short introduction to topic

Frame the topic of the article. Use footnotes rather than traditional academic referencing style when using prior research.

Extensive research findings

Use headings and figures/tables to communicate findings. Address solutions to managerial challenges. Present lessons learned from the research and recommendations.

Actionable guidelines

Actionable guidelines include action verbs, not passive verbs like “understand,” “assess, “think,” or “get commitment.” Tell the reader what to actually do, or what to change. For example, if getting commitment is important, say how to get the required level of commitment.

Appendix

Present an overview of research methods. Remember to write in a way that is accessible to an academic audience unfamiliar with the nuances of academic research.

Associate Editors

• Michelle Kaarst-Brown, Syracuse University, United States
• Gabriele Piccoli, Louisiana State University, United States
• Nils Urbach, Beyrouth university, Germany
• Rens Scheepers, Deaking University, Australia
• Nadège Levallet, University of Guelph, Canada
• Ioanna Constantiou, Copenhagen Business School, Denmark
• Jan Recker, University of Cologne, Germany
• Iris Junglas, Florida State University, United States
• Federico Pigni, Grenoble School of Management, France
• Daniel E. O’Leary, University of Southern California, USA
• Christian Wagner, City University of Hong Kong, China
• Tracy Jenkin, Queen’s University, Canada
• Toomas Tamm, UNSW, Australia
• Derek Wenyu, Du Beihang University, China
• Petri Hallikainen, University of Sydney, Australia

Human Computer / Robot Interactions & Interfaces

Track Chairs

Lionel P. Robert

University of Michigan

lprobert@umich.edu

Ben Choi

Nanyang Technological University, Singapore

benchoi@ntu.edu.sg

Sri Kudaravalli

HEC Paris

kudaravalli@hec.fr

Track Description

This track focuses on issues related to the manner in which humans interact with technologies in organizational, managerial, cultural, and social contexts. We are also interested in understanding behavioral and institutional factors affecting technology adoption and/or usage as well as the implementation processes and approaches that help generate value through technology in organizations. Additionally, we welcome papers that examine usage and implications of robotic computing and its synergistic interactions with other technologies, such as artificial intelligence and machine learning.

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

Topics of Interest
Possible topics include, but are not limited to, the following:

● Aesthetic and affective computing
● Design and evaluation of end-user computing in work versus non-work environment, and in developing versus developed economies
● Embedded IT applications including robotics, AI systems, intelligent homes, spatial systems
● Feature-level IT adoption and use
● HCI and robotics interface design issues with new devices and applications, such as smartphones, social networking sites, M-commerce, and pervasive computing
● Human information seeking behavior on the digital platforms
● Human Robot Interactions
● Human Automated or Autonomous Vehicle Interactions
● Human Interactions with Autonomous and Intelligent Systems
● Human-centeredness and user-centeredness in technology design, development and use
● Impact of interfaces on attitudes, behavior, performance, perception, learning, and productivity
● Interfaces for information visualization and analytics
● Interfaces for secure Web and deception detection
● Interfaces for wide variety of PC-based, web-based and mobile-based applications for communication, social interactions, and commercial exchanges
● Interfaces that facilitate relationship building between human and technological artifacts
● Novel HCI theories, techniques, and methodologies
● Personalization and adaptive interfaces
● Psychological, social and cultural aspects of human computer and robot interactions
● Usability engineering, metrics, and methods for user interface assessment
● Usage and post-adoption behaviors, such as infusion, exploitation, and exploration

Associate Editors

• Juliana Sutanto, Lancaster University, UK
• Roberta Bernardi, University of Bristol, UK
• Christy Cheung, Hong Kong Baptist University, Hongkong
• Fiona Fui-Hoon Nah, Missouri S&T, US
• Chuan Hoo Tan, National University of Singapore, Singapore
• Yang Liu, National University of Singapore, Singapore
• Xinwei Wang, University of Auckland, New Zealand
• Sangseok You, HEC Paris, France
• Xue Yang, Nanjing University, China
• Xinru Page, Bentley University, US
• Cheng Luo, Tianjin University, China
• Weiquan Wang, City University of Hong Kong, Hong Kong
• Bao Yang, Shanghai Jiao Tong University, China
• Yuanyue Feng, Shenzhen University, China
• Aihua Yan, City University of Hong Kong, Hongkong
• Alexandra Durcikova, University of Oklahoma, US
• Mohammad Jarrahi, University of North Carolina, US
• Xi Jessie Yang, University of Michigan, US
• Ewart DeVisser, Georgia Mason University, US
• Xu Jingjun David, City University,  Hong Kong

Design Science Research

Track Chairs

Gerhard Schwabe

University of Zurich, Switzerland

schwabe@ifi.uzh.ch

Daning Hu

Southern University of Science and Technology, Shenzhen, China

hudn@sustc.edu.cn

Kevin Crowston

Syracuse University, United States

crowston@syr.edu

Track Description

This track explores current boundaries of established information system (IS) designs and new design issues in IS. Through the Design Science Research (DSR) paradigm, investigators aim to improve the understanding of 1) design methodologies and applications, 2) design behaviors of individuals, teams, and organizations, as well as 3) the cumulative creation of design knowledge, by building and testing novel artifacts (including constructs, models, methods, processes, or systems). Moreover, this track encourages research that can link DSR to neighboring disciplines such as engineering, psychology, and computer science.

Topics of interest include, but are not limited to:

• Design Science Methodologies
• Theorizing in and through Design Science Research
• Action Design Science Research
• Design Science and Cross-Disciplinary Research
• Evaluation of Design Science Research
• Emerging Technologies and Tools in Design Science Research
• Design Research applying novel technologies such as:
• Blockchains
• Internet-of-Things (IOT)
• Machine Learning
• Speech Interfaces
• Mixed Reality
• Design Research for relevant applications areas such as
• Manufacturing, Finance & Business
• Environmental Sustainability and Energy Informatics
• Social Sustainability, Quality of Life, Emancipation, and Human Benefit
• Open Innovation and Crowds

Associate Editors

• Abayomi Baiyere, University of Turku, Finland
• Alan Hevner, University of South Florida, USA
• Alexander Maedche, KIT, Germany
• Debra VanderMeer, Florida International University, USA
• Guochao Peng, Sun Yatsen University, China
• Isabelle Comyn-Wattiau, ESSEC Business School, France
• Jiaqi Yan, Nanjing University, China
• Jonas Sjostrom, Uppsala University, Sweden
• Libo Liu, Swinburne University of Technology, Australia
• Mark Rothenberger, UNLV, USA
• Mateusz Dolate, University of Zurich, Switzerland
• Ozgur Turetken, Ryerson University, Canada
• SoonYoung Huh, KAIST, Korea
• Yi Yang, Hong Kong University of Science and Technology, Hong Kong
• Yongqiang Sun, Wuhan University, China
• Peter Loos, Saarland University, Germany
• Hans-Georg Fill, University of Fribourg, Switzerland

Analytics and Data Science

Track Chairs

Sumit Sarkar

University of Texas at Dallas

sumit@utdallas.edu

J. Leon Zhao

City University of Hong Kong

jlzhao@cityu.edu.hk

GOH Khim Yong

National Univeristy of Singapore

gohky@comp.nus.edu.sg

Ashish Agarwal

University of Texas at Austin

ashish.agarwal@mccombs.utexas.edu

Track Description

The explosion in the amount of digitized data in recent years has created a huge opportunity to obtain insights from data and to make predictions. However, it has brought forth several challenges related to data processing and knowledge creation given the volume, velocity and variety of various new types of data. These challenges include our ability to analyze this data and extract useful information comprehensively and speedily, create high performance models for reliable predictive and prescriptive applications as well as draw strong causal inferences. Further complicating the situation is that these new datasets and their applications often defy conventional statistical assumptions underpinning many existing data analysis methods.

Analytics has emerged as a major area of Data Science which uses scientific methods for extracting knowledge and insights from various forms of structured and unstructured data. Analytics involves the discovery, interpretation, communication, and leveraging of meaningful patterns in the data. This track is dedicated to research developing novel data science and analytics theories, algorithms, and methods to solve challenging and practical problems that benefit business and society at large. We invite innovative data science and analytics research work that address the related data challenges from the lens of statistics, data mining, machine learning, artificial intelligence, econometrics, and psychometrics, among others. We are looking for original research addressing these challenges in domains such as marketing, operations, finance, health care, and energy, and applications such as fraud detection, social network services, talent analytics, privacy, recommendation systems, etc. Contributions on novel methods may be motivated by insightful observations on the shortcomings of state-of-the art approaches in addressing practical challenges, or may identify entirely novel data science problems. Research contributions on theoretical and methodological foundations of data science, such as optimization for machine learning or new algorithms for data mining or new approaches for causal inference are also welcome.

Topics of interest include, but are not limited to:

• Data-driven predictive analytics methods for effective risk management
• Data-driven methods for cyber security, anomaly detection
• Data-driven marketing and contextual advertising methods and applications
• Real-time dynamic pricing and revenue optimization methods and applications
• Geospatial data analytics for location-based services
• Policy impact evaluation methods for business or public policy field experiments
• Personalization and recommendation systems
• Social media analytics and social network analysis
• Applications of crowd-sourcing for enhanced predictive analytics
• Data science methods for healthcare: chronic disease management, preventative care, etc.
• Organizational and social aspects around data (data monetization, information businesses, and data products)
• Data science applications in logistics and supply chain
• Data science applications in finance
• AI based predictive modeling approaches
• Algorithm development in data mining, machine learning, and deep learning
• Text analytics and natural language processing
• Visual analytics of big data sets
• Methods for causal inference using big data sets
• Methods for tackling data quality issues
• Computational social science methods
• Triangulation methods between secondary data and survey data

Associate Editors

• Abhijeet Ghoshal, University of Wisconsin Milwaukee, USA
• Anup Sen, Indian Institute of Management Calcutta, India
• Catherine Yang, University of California Davis, USA
• Cheng Zhang, Fudan University, China
• Dokyun Lee, Carnegie Mellon University, USA
• Edward McFowland, University of Minnesota, USA
• Geva Tomer, Tel Aviv University, Israel
• Ji Wu, Sun Yat-Sen University, China
• Jiahui Mo, Nanyang Technological University, Singapore
• Jing Peng, University of Connecticut, USA
• Kang Zhao, University of Iowa, USA
• Kaushik Dutta, University of South Florida, USA
• Ke-Wei Huang, National University of Singapore, Singapore
• Michael Chau, University of Hong Kong, China
• Nachiketa Sahoo, Boston University, USA
• Natalia Kliewer, Freie Universität Berlin, Germany
• Panos Adamopoulos, Emory University, USA
• Pelin Atahan, Ozyegin University, Turkey
• Ravi Vatrapu, Copenhagen Business School, Denmark
• Raymond Lau, City University of Hong Kong, China
• Roger Chiang, University of Cincinnati, USA
• Rong Zheng, Hong Kong University of Science and Technology, China
• Shaokun Fan, Oregan State University, USA
• Shun-Yang Lee, University of Connecticut, USA
• Sriram Somanchi, University of Notre Dame, USA
• Syam Menon, University of Texas at Dallas, USA
• Thomas Setzer, Catholic University of Eichstätt Ingolstadt, Germany
• Tuan Quang Phan, National University of Singapore, Singapore
• Wei Thoo Yue, City University of Hong Kong, China
• Xiaobai Li, University of Massachusetts, Lowell, USA
• Xitong Li. HEC Paris, France
• Yingda Lu, University of Illinois, USA
• Zhengrui Jiang, Iowa State University, USA
• Zhuoxin Li, Boston College, USA
• Jun Shen, University of Wollongong, Australia
• Zhe (Jay) Shan, Miami University, USA
• Zhijie Lin, Nanjing University, China
• Gautam Pant, University of Iowa, US
• Hongyan Liu, Tsinghua University, China
• Jinjing Zhang, Indiana University, USA
• Konstantin Baumann. Temple University, USA
• Xuan Ye, Boston College, USA
• Sehl Mellouli, Laval University, Canada
• Adeboyega Ojo, NUI Galway, Ireland
• Sun Yuan, Zhejiang Gongshang University, China

IS Development and Implementation

Track Chairs

Stacie Petter

Baylor University, United States of America

stacie_petter@baylor.edu

Julia Kotlarsky

The University of Auckland, New Zealand

j.kotlarsky@auckland.ac.nz

Sabine Matook

The University of Queensland, Australia

S.Matook@business.uq.edu.au

Track Description

New and pervasive technologies like mobile apps and IoT (Internet of Things) systems mean the diversity of IS Development (ISD) types has exploded like never before. Today, when organizations are increasingly seeking to transform their business through innovative uses of technology to create new business models, products, and services, ISD has become ever more important to the success of virtually all businesses and organizations.

ISD practices continuously adapt and evolve to keep up with new technologies and changing requirements. Many transformational ISD projects are integrating various technologies such as IoT, open source, mobile development, blockchain and analytics which, in turn, requires organizations to adopt a repertoire of strategies, among them agile, lean methods, outsourcing, crowdsourcing and others. While opportunities these strategies offer to organization include increasing efficiency, improving effectiveness, and gaining competitive advantage, they pose numerous challenges and risks.

This track welcomes papers that improve our understanding of the dynamic and complex nature of IS development and implementation. We are especially interested in papers that advance theory and practice for emerging technologies and dispersed organizational settings where IS development and implementation often take place. We welcome all types of research, including empirical, conceptual, and simulation-based studies that address social and technical aspects of IS development and implementation on organizational, group and individual levels.

Topics of interest include, but are not limited to:

• Agile, lean, and dev-ops approaches to IS development
• Management of IS development in specific contexts, such as open source, mobile, cloud, internet of things
• Privacy and security issues in IS development, including cyber-security
• Regulation and compliance issues in IS development
• Socio-technical aspects of IS development, project management, or implementation
• Sourcing of IS projects, including multi-sourcing, cloud-services, and crowdsourcing
• 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 implementation
• Novel theoretical perspectives and research approaches that broaden or question our understanding of IS development and IS implementation

Associate Editors

• Torgeir Dingsøyr, SINTEF and NTNU University, Norway
• Susanne Strahringer, TU Dresden, Germany
• Thomas Kude, ESSEC Business School, Cergy-Pontoise France
• Suranjan Chakravorty, Towson University, US
• Karl Werder, University of Cologne, Germany
• Amany Elbanna, University of London, UK
• Jon Heales, University of Queensland, Australia
• Ron Kwok, City University Hong Kong, Hong Kong
• Paul Drews, Leuphana Universität Lüneburg, Germany
• Ann-Kristin Cordes, University of Münster, Germany
• Ilan Oshri, The University of Auckland, New Zealand
• Jens Dibbern, The University of Bern, Switzerland
• Eleni Lioliou, Queen Mary University of London, UK
• Oliver Krancher, IT University of Copenhagen, Denmark, Denmark
• Rajiv Kishore, University of Nevada, Las Vegas US
• Dorit Nevo, Lally School of Management, Rensselaer Polytechnic Institute, US
• Bart van den Hoof, Vrije University Amsterdam, Netherlands
• Bogdan Negoita, HEC Montreal, Canada, Canada
• Brian Nicholson, University of Oslo, Norway
• Esko Penttinen, Aalto University, Finland
• Andreas Shroeder, Aston University, UK
• Binny Samuel, University of Cincinnati, US
• Radhika Jain, Baruch College, US
• Jong Seok Lee, University of Memphis, US
• Roman Lukyanenko, HEC Montreal, Canada
• Robert Wayne Gregory, University of Navarra, Spain
• Sandra Richardson, University of Memphis, US
• Anatalia Ramos, Federal University of Rio Grande do Norte, Brasil
• JJ Po-An Hsieh, Georgia State University, US
• Lan Cao, Old Dominion University, US
• Carlo Bellini, Universidade Federal da Paraíba, Brasil
• Laurie Giddens, Southern Illinois University at Edwardsville, USA
• Karoly Bozan, Duquesne University, USA
• Kai Spohrer, University of Mannheim, Germany

Business Models and Digital Transformation

Track Chairs

Anandasivam Gopal

University of Maryland, College Park, MD

agopal@rhsmith.umd.edu

Deepa Mani

Indian School of Business, Hyderabad, India

deepa_mani@isb.edu

Daniel Veit

University of Augsburg, Germany

veit@wiwi.uni-augsburg.de

Track Description

Emerging and innovative digital business models are the most impactful disruption industry has witnessed since industrialization. A decade ago, the most valuable companies dominating the stock exchanges were raw materials conglomerates. In contrast, the highest market valuations today are held by a number of companies whose core value propositions are platform ecosystems, deep analytical skills, the ability to radically transform industry sectors, and familiarity and access to customer data. Indeed, these firms have acquired their own acronyms, such as the FANG stocks (Facebook, Amazon, Netflix, Google), reflecting their market power. Of course, ongoing digital transformation has led to refinements of these terms, the latest being WANG stocks (Walmart, Apple, Netflix, Google). The advent of these technology companies and technology-enabled business models has led to significant shifts in competitive dynamics, including the basis of competitive advantage, across diverse industries. An understanding of these shifts is important for organizations, business leaders as well as policy makers seeking to foster innovation and add economic welfare.

Concomitantly, in recent years, a number of researchers in information systems have begun to investigate the causalities underlying these digital disruptions by innovative business models (Veit et al. 2014). While many research streams in the past have focused on individual aspects of this disruption, few researchers have investigated the underlying nature of network externalities, lock-in and switching costs and its effect for incumbent business models.

Bharadwaj et al. (2013) questioned the causal direction of influence between digital strategy and business strategy. Yet, this call has not yet sufficiently been answered by information systems scholars in subsequent years. We invite submissions that study the transformative process that is caused by digital technologies, and the resulting business models that evolve and thrive. At the industry or firm level, these business models may thrive or fail – we believe there is theoretical value in understanding both successes and failures, and invite papers that study both aspects of digital transformation.

Beyond the organizational level, there is increasing recognition of the need to focus on the micro-foundations of strategic processes that underlie such transformation (Felin and Foss 2005). Though firms are transformative and develop new business models, fundamentally these are processes involving individuals that act on their own incentives and motivations (Greenwood et al. 2018). Therefore, we also invite submissions which contribute in the arena of digital business models and/or digital transformation of businesses from an individual level, thereby establishing micro-foundations. We primarily invite empirical pieces but also welcome conceptual work as well as action design-oriented research.

Topics of interest include but are not limited to:

• Digital business models – process, outcomes, and competitive dynamics
• Digital business model innovation
• Digital Transformation
• Constraints to transformation of industry incumbents
• Risks and value of digital transformations
• Business models for the sharing economy
• Interplay between business model components and their configuration
• Validation of digital business models
• Conceptualization of metrics for digital business model evaluation
• Digital change management in organizations
• Digital revenue models
• Conceptualization of sustainable digital business models
• Digital transformation and sustainable information systems
• Data analytics and its impact on digital business models
• Big data and business model innovation
• Digital pure players versus digital immigrants – comparative business model cases
• Digital transformation and the R&D / Innovation Function
• Leadership and digital transformation
• Industry specific digital transformation
• Policies for the digital economy

References

Bharadwaj, Anandhi, Omar A. El Sawy, Paul A. Pavlou, and N. Venkatraman. “Digital Business Strategy: Toward a Next Generation of Insights.” Management Information Systems Quarterly 37, no. 2 (2013): 471-482.

Felin, Teppo, and Nicolai J. Foss. “Strategic organization: A field in search of micro-foundations.” Strategic Organization 3, no. 4 (2005): 441-455.

Greenwood, Brad, Rajshree Agarwal, Ritu Agarwal, and Anandasivam Gopal. “The Role of Individual and Organizational Expertise in Adoption of New Practices,” Organization Science (In Press, 2018).

Veit, Daniel, Eric Clemons, Alexander Benlian, Peter Buxmann, Thomas Hess, Dennis Kundisch, Jan Marco Leimeister, Peter Loos, and Martin Spann. “Business models.” Business & Information Systems Engineering 6, no. 1 (2014): 45-53.

Associate Editors

• Rohit Aggarwal, University of Utah, USA
• Benedikt Berger, LMU Munich, Germany
• Jonas Hedman, CBS, Denmark
• Oliver Hinz, University of Frankfurt, Germany
• Chad Ho, GWU, USA
• Katja Hutter, University of Salzburg, Austria
• Prabhudev Konana, UT Austin, USA
• Dennis Kundisch, University of Paderborn, Germany
• Christine Legner, EPFL Lausanne, Switzerland
• Hank Lucas, UMD, USA
• Likoebe Maruping, GSU, USA
• Jorge Mejia, Indiana University, USA
• Yang Pan, Lousiana State University, USA
• Kiron Ravindran, IE Madrid, Spain
• Rajib Saha, Indian School of Business, India
• Soumya Sen, University of Minnesota, USA
• Martin Spann, LMU Munich, Germany
• Dennis Steininger, University of Augsburg, Germany
• Ning Su, Ivey, Canada
• Hemang Subramanian, Florida International University, USA
• Gang Wang, University of Delaware, USA
• Tim Weitzel, University of Bamberg, Germany
• Chris Westland, UIC, USA
• Samuli Pekkola, Tampere University of Technology, Finland
• Camille Grange, HEC Montreal, Canada
• Felix Ter Chian Tan. University of New South Wales, Australia
• Young Bong Chang, Sungkyunkwan University, South Korea
• Aihua Yan, City University of Hong Kong, Hong Kong
• Mareike Moehlmann, Warwick Business School, GB
• Heinz-Theo Wagner, German Graduate School of Management and Law, Germany
• Manuel Trenz, University of Goettingen, Germany

DLT, Blockchain and FinTech

Track Chairs

Roman Beck

ITU Copenhagen

romb@itu.dk

Marta Indulska

Queensland UQ

m.indulska@business.uq.edu.au

Eric Zheng

UT Dallas

ericz@utdallas.edu

Track Description

In recent years we have been witness to a fascinating array of disruptive technologies. Among these, Distributed Ledger Technologies (DLT) such as blockchain have received much attention, primarily driven by their exposure as Bitcoin’s enabling technology. While blockchain drives innovations in different sectors, it certainly propels new business models within Fintech, for making financial services more accessible, efficient, and affordable.

Distributed Ledger Technologies have the potential to transform the financial sector, as well as businesses across other industry sectors. They have already resulted in fundamental changes to businesses in areas such as economic exchange systems, costs of networking and verification, transaction costs, trust, Initial Coin Offerings (ICOs) and governance. Their full impact, however, is yet to be unleashed. Similarly, Fintech has received attention in various contexts: as analytics in financial services, anti-money laundering assisted by innovative IT, robo-advisory, as well as digital payments, for example. Yet, further research is needed to contribute to the nascent literature on these topics.

This track calls for financial and non-financial DLT & blockchain as well as Fintech research that fosters a better grasp of these topics through rigorous research.

We invite innovative and relevant empirical (qualitative and quantitative) studies as well as design-oriented research and conceptual/theoretical papers.

Topic of interest include, but are not limited to:

• Value creation and value capture in a blockchain economy
• Determinants of performance differentials of Fintech
• Generic strategies and core design principles in a blockchain economy
• Blockchain in the context of decision-making and decision-making authority
• Blockchain and trust, accountability
• Digital forensics for blockchain
• Incentive structures and incentive alignment in blockchain governance
• Blockchain and institutional aspects
• Initial Coin Offerings (ICOs)
• Blockchain and privacy
• Blockchain and its effects on transaction costs and VRIN resources
• Cryptocurrencies
• Crowdfunding
• Digital financial advice, such as robo-advisory
• Digital and mobile payments
• Anti-money laundering through innovative IT
• Smart trading strategies and high-frequency trading
• Analytics in financial services
• InsurTech – innovative technology for insurance
• Regtech – Regulation Technologies

Associate Editors

• Virpi Tuunainen, Aalto Unversity, Finland
• Kieran Conboy, NUI Galway, Ireland
• Gilbert Fridgen, University of Bayreuth, Germany
• Raffaele Ciriello, IT University of Copenhagen, Denmark
• Juho Lindman, Gothenburg University, Sweden
• Pär Ågerfalk, Uppsala University, Sweden
• Jonas Andersen, IT University of Copenhagen, Denmark
• Daniel Gozman, University of Sydney, Australia
• Marten Risius, Clemson University, USA
• Carsten Sørensen, London School of Economics, United Kingdom
• Matti Rossi, Aalto Unversity, Finland
• Horst Treiblmaier, MODUL University, Vienna Austria
• Zach Steelman, University of Arkansas, USA
• Rainer Alt, University of Leipzig, Germany
• Martin Smits, Tilburg University, Netherlands
• Al Robb, The University of Queensland, Australia
• Rui Torres de Oliveira, Queensland University of Technoogy, Australia
• Ingo Weber, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
• Hanna Halaburda, New York University, USA
• Simon Schillebeeck, Singapore Management University, Singapore
• Sezgin Ayabakan,  Temple University, USA
• Dan Ke, Wuhan University, China
• Oliver Yao, Lehigh University, USA
• Jay Samuel, University of Texas at Arlinton, USA
• Shaojie Tang, University of Texas at Dallas, USA
• James Zhang, University of Texas at Dallas, USA
• John Leslie King, University of Michigan, USA

Innovation and Entrepreneurship

Track Chairs

Jungpil Hahn, Asia

National University of Singapore, Singapore

jungpil@nus.edu.sg

Ola Henfridsson, Europe

The University of Warwick, UK

Ola.Henfridsson@wbs.ac.uk

Brad N Greenwood, North America

University of Minnesota, USA

wood@umn.edu

Track Description

The unrelenting pace of digital innovation 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. By the same token, previously distinct intellectual disciplines are converging and different directions forward are becoming available. Faced with new challenges of a world infused with digital technology, taking the paths forward will bring the discipline to new and unchartered territories of innovation and entrepreneurship.

The track invites submissions that enrich and advance research in digital innovation and entrepreneurship. It aims to provide a forum for scholars with an interest in presenting new theories, methods, or empirical evidence that speak to existing, or emerging, research in the area. The track is open to a wide variety of research methodologies.

Topics of interest include, but are not limited to:

• Digital innovation
• Digital entrepreneurship
• New ventures creation
• Digitizing of Innovation Processes
• Digital innovation management
• Data-driven business models
• Platform innovation
• Entrepreneurial activity in digital ecosystems
• Societal implications of digital innovation and entrepreneurship
• Mass-Scale Innovation Collaboration

Associate Editors

• Ben Eaton, University of Surrey, UK
• Bendik Bygstad, Oslo University, Norway
• Byungwan Koh, Korea University, Korea
• Carolina Salge, Wake Forest, USA
• Chen Zhang, University of Memphis, USA
• Cheng Suang Heng, National University of Singapore, Singapore
• Chunmian Ge, South China University of Technology, China
• Elena Hwang, University of Washington, USA
• Ghiyoung Im, University of Louisville, USA
• Goh Kim Huat, Nanyang Technological University, Singapore
• Isam Faik, National University of Singapore, Singapore
• Johan Sandberg, Umea University, Sweden
• John D’Arcy, University of Delaware, USA
• Kalle Lyytinen, Case Western Reserve University, USA
• Lior Zalmanson, University of Haifa, Israel
• Lusi Yang, University of Arizona, USA
• Michael Shi, Arizona State University, USA
• Nick Berente, University of Notre Dame, USA
• Ning Nan, University of British Columbia, Canada
• Ohad Barzilay, Tel Aviv University, Israel
• Panos Constantinides, Warwick Business School, UK
• Sanja Tumbas, IESE, Spain
• Shun Ye, George Mason University, USA
• Stefan Haefliger, City University of London, UK
• Stefan Seidel, Univ of Lichtenstein, Lichtenstein
• Sungbyung Yang, Kyung Hee University, Korea
• Sunghan Ryu, Shanghai Jiaotong University, China
• Sungjoo Bae, Yonsei University, Korea
• Will Venters, London School of Economics, UK
• Xue Tan, Indiana University, USA

Crowds, Social Media and Digital Collaborations

Track Chairs

Yulin Fang

City University of Hong Kong, China

ylfang@cityu.edu.hk

Gordon Gao

University of Maryland, USA

ggao@rhsmith.umd.edu

Daniel Schlagwein

The University of Sydney, Australia

schlagwein@sydney.edu.au

Track Description

Topics around crowds, social media and digital collaborations have emerged as a central research domain for information systems (IS) scholars over the past years. This track continues a series of prior tracks at the International Conference on Information Systems (ICIS) and invites cutting-edge research on these topics.

Social media use has a multitude of effects. Social media can promote the creation of social capital, resulting in increased interconnectedness, facilitate social support and afford collective action. They open up a new world of empowerment, in which previously concealed conditions are openly discussed, interpersonal communication is facilitated, and access to information is provided. At the same time, numerous problems have emerged in both private and professional use of social media, including recent concerns regarding Facebook and Twitter in relation to the US election, numerous breaches of privacy and the “filter bubble” phenomenon.

Social media and other social information systems shifting us from activities conducted within traditional institutions towards “crowd markets” and “sharing economies”. Novel forms of organising and working emerge, social cues and market forces intermingle, new modes of production merge, and remote, mobile and nomadic forms of work flourish. Crowdsourcing and other forms of digital work and digital collaboration have grown significantly in the past few years to the point where it has substantially impacted various industries (from ICT to hospitality to finance).

Give the now ubiquitous nature of social media use and the still-emerging new forms of crowdsourcing and other new forms of organising and working based on digital collaboration; we invite cutting-edge research that offers fresh theoretical perspectives, novel empirical insights and other useful knowledge contribution on the ways of crowds, social media and digital collaborations. We are particularly interested in business and organisational contexts (rather than research on social media use in a primarily private space). We invite studies that contextualise social media use and digital collaboration and that examine both positive and negative consequences. The track is open regarding theories and methods (qualitative, quantitative, econometric, design etc.) and paradigms (positivist, interpretivist, critical, pragmatist etc.) used and welcomes theoretical and conceptual work in addition to empirical work.

Topics of Interest: (include but are not limited to)

• Novel theories about crowds, social media and digital collaboration.
• Digital work, new forms of working, new forms of organising, the future of work.
• Internal/enterprise use of crowds, social media and digital collaboration.
• Crowd- or social media-enabled business models.
• Social media for citizen and political participation.
• New methods for the study of methods crowds, social media and digital collaboration (e.g., including virtual ethnography approaches, design approaches and computational/big data approaches).
• Critical and ethical perspectives on crowds, social media and digital collaboration.
• Crowdfunding (charitable, reward-based, peer-to-peer lending, equity-based).
• Crowdsourcing, open innovation and commons-based peer production.
• Sharing economy and collaborative consumption models.
• Economics, sociology and geopolitics of crowds, social media and digital collaboration.
• Digital work/labour markets, their unique nature and their implications on the workforce.
• Reputation, reviews and trust in crowds, social media and digital collaboration.
• The relation between crowds, social media and digital collaboration and entrepreneurship.
• Digital nomadism.

Associate Editors

• Alvin Leung, City University of Hong Kong, Hong Kong
• Hailiang Chen, City University of Hong Kong, Hong Kong
• Huifang Li, Dalian University of Technology, China
• Israr Qureshi, The Australian National University, Australia
• Carol Ou, Tilburg University, Netherlands
• Lin Hao, University of Notre Dame, United States
• Sang Pil Han, Arizona State University, United States
• Xin Li City, University of Hong Kong, Hong Kong
• Ivo Blohm, University of St. Gallen, Switzerland
• Kai Fischbach, University of Bamberg, Germany
• Kevin Carillo, Toulouse Business School, France
• Maha Shaikh, Kings College London, UK
• Matthias Trier, Copenhagen Business School, Denmark
• Remko Helms, Open University, Netherlands
• Sarah Oeste-Reiß, University of Kassel, Germany
• Stefan Smolnik, University of Hagen, Germany
• Stefan Stieglitz, University of Duisburg-Essen, Germany
• U. Yeliz Eseryel, University of Groningen, Netherlands
• Wietske Van Osch, Michigan State University, United States
• Xiaofeng Wang, Free University of Bozen-Bolzano, Italy
• Alexander Richter, University of Wellington, New Zealand
• Chao Ding, University of Hong Kong, China
• Keehyung Kim, Chinese University of Hong Kong, China
• Yasser Rahrovani, Ivey Business School, Canada
• Peijian Song, Nanjing University, China
• Lian Jian, University of Southern California. USA
• Yongsuk Kim, HKUST, China
• Xi Chen, The Jiang University, China
• Aishwarya Shukla Simon Fraser University, Canada
• Ruba Aljafari, University of Pittsburg, USA
• Haijing Hao, University of Massachusetts, USA
• Yi-Chin Lin, Hofstra University, USA
• Lei Michelle, Wang,Penn State, USA
• Yixin Lu,George Washington University, USA
• Xiahua Wie, University of Washington, USA
• He Zhang, University of South Florida, USA
• Rob Gleasure, Copenhagen Business School, Denmark
• Yufei Yuan, McMaster University, Canada
• Youwei Wang, Fudan University, China
• Kathy Jin, Shanghai University, China
• Ravi Mayasandra-Nagaraja, Loughborough University, UK
• Pamela Abbott, University of Sheffield, UK
• Ada Wang, Temple University, USA
• Monica Tremblay, College of William and Mary, USA
• Thomas Frick, Copenhagen Business School, Denmark
• Shuyuan Ho, Florida State University, USA
• Panos Panagiotopoulos, Queen MRY University, UK
• Aron Lindberg, Stevens Institute of Technology, USA
• Thomas Widjaja, Universität Passau, Germany
• Eva Bittner, University of Hamburg, Germany
• David Valle- Cruz, UAEMex, Mexico

Mobile, IoT and Ubiquitous Computing

Track Chairs

Paul Pavlou

Temple University, USA

Paul.pavlou@temple.edu

Ting Li

Erasmus University, Netherland

tli@rsm.nl

Wonseok Oh

Korea Advanced institute of Science and Technology (KAIST), Korea

wonseok.oh@kaist.ac.kr

Track Description

A few years back, we perceived the rapid uptake of mobile media, ubiquitous computing, and IoT (Internet of Things) to be an interesting academic phenomenon. Today, these technologies have permeated our lives to an unprecedented degree, and the interplay of people, computing, data, and things is evolving at an increasingly fast pace in practice and daily lives. 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.

Given this emerging landscape, IS researchers inevitably face a plethora of new digitalization challenges to explore, understand, explain and design: What do people expect from interactions with other people, data, and things? What are the contextual factors that drive their behavior? What are the technology affordances that influence and shape these use patterns? What is the impact of these interactions on individuals, organizations, and society at large? How can we design innovative solutions to improve the interplay of people, computing, data, and things?

Moreover, there are many theoretical and practical questions that emanate from the abundance of data that characterizes our contemporary life. They range from tackling socio-technical aspects associated with the volume, variety, velocity, and veracity of data in an interconnected digital/mobile environment to extracting information and knowledge resources that help organizations and institutions to innovate. Such renewal of organizational practices involves amongst others redefining customer relationships, optimizing distributed operations, and empowering employees. This calls for IS researchers both to build revelatory theory about the novel organizational capabilities required to build successful entrepreneurial ecosystems, as well as to address new and existing design problems by creating useful, innovative, and reusable solutions enabled by IoT, mobile devices, ubiquitous computing, and other digital technologies.

Overall, the main focus of the conference theme track is:

1. to advance a better understanding of how people interact with exponentially growing data and increasingly autonomous things, mobile devices, and ubiquitous computing;

2. to contribute to the development of innovative and disruptive use cases that derive from these emerging technologies;

3. to assess their advantages and disadvantages from individual, organizational, market, and societal perspectives, and

4. to contribute to a better understanding of respective design problems and opportunities and prescribe innovative design approaches that would help address such problems.

We invite papers that utilize a diverse range of perspectives, and we welcome controversial and well-argued papers that challenge established positions. We also encourage the use of novel research methods that take advantage of innovative approaches to exploit the potential of data analytics and other contemporary research approaches.

Topics of interest include, but are not limited to:

• Novel business models and business value creation enabled by people, data, and things.

• Key technology affordances and capabilities that influence use patterns and shape individual, organizational, market, and societal behaviors.

• Privacy, ownership, and informed consent of data and information generated by IoT, mobile devices, and ubiquitous computing technologies.

• Roles, governance structures, authority relations, and community boundaries related to IoT, mobile devices, and ubiquitous computing.

• Entrepreneurship, innovation, and organizational capabilities required to exploit pertinent innovations in IoT, mobile devices, and ubiquitous computing.

• Empirical accounts of human agents, data, algorithms, and mobile/voice devices and their relationships and interactions.

• Mobile-based marketing and other consumer targeting strategies.

• Voice-enabled interaction and communication with machines, things, and businesses, such as Amazon Echo (e.g., Alexa), Samsung Bixby, and other intelligent algorithms.

• Design, implementation, and evaluation of novel digital systems and mobile infrastructures that render innovative or disruptive use-cases.

• Algorithmic decision-making afforded by big-data and business analytics related to IoT, mobile, and ubiquitous computing.

• Assessments of the consequences of the Internet for people, data, and things from individual, organizational, market and societal perspectives.

• New approaches and methods that are appropriate for studying increasingly complex digital environments due to the emergence of IoT, mobile, and ubiquitous computing.

Associate Editors

• Dylan Walker, Boston University, United States
• Christian Peukert, Católica Lisbon School of Business & Economics, Portugal
• Hangjung Zo, KAIST, South Korea • Heng Xu, Pennsylvania State University, United States
• Il Im, Yonsei University, South Korea
• Jing Gong, Temple University, United States
• Jiye Baek, Hong Kong University of Science and Technology, Hong Kong
• Meng Liu, Washington University in St Louis and MIT, United States
• Michelle Andrews, Emory University, United States
• Tae Hun Kim, Baylor University, United States
• Tianshu Sun, USC, United States
• Tobias Brandt, Erasmus University, Netherlands
• Xue Guo, Temple University, United States
• Zike Cao, Erasmus University, Netherlands

• Meng Liu, Washington University in St Louis and MIT, United States

• Michelle Andrews, Emory University, United States

• Monica Tremblay, College of William and Mary, United States

• Tae Hun Kim, Baylor University, United States

• Thomas Frick, Copenhagen Business School, Denmark

• Tianshu Sun, USC, United States

• Tobias Brandt, Erasmus University, Netherlands

• Xuan Ye, Boston College, United States

• Xue Guo, Temple University, United States

• Young Bong Chang, Sungkyunkwan University, South Korea

• Young Kwark, University of Florida, United States

• Zike Cao, Erasmus University, Netherlands

IS in Healthcare

Track Chairs

Abhay Mishra

Iowa State, USA

abhay@iastate.edu

Guo Xitong

Harbin Institute of Technology, China

xitongguo@hit.edu.cn

Till Winkler

Copenhagen Business School, Denmark

tw.digi@cbs.dk

Track Description

Health information systems (HIS) have attracted significant attention from researchers worldwide over the last decade. HIS promise better, cost-efficient and patient-centric healthcare through widespread sharing of authorized data and promoting proactive involvement by patients to sustain their own well-being. There is some 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 empirical, analytical, conceptual and design orientated submissions that leverage the multiple perspectives of information systems in the healthcare sector.

Topics of interest include, but are not limited to, the following aspects of health information systems:

• Adoption, diffusion and assimilation of health information systems
• Organizational, operational, clinical and financial implications of HIS use
• Personalized medicine
• Healthcare Analytics
• Wearable devices and their impacts on lifestyle, diets and exercise habits
• Mobile health applications and their impacts
• Telehealth applications and their impacts
• Clinical, administrative and operational workflow changes associated with HIS
• User-Generated Content and its impact on healthcare practices and providers
• HIS implementation challenges and strategies
• Technology-enabled care coordination
• New payment methods and new ways of care delivery (e.g., ACO)
• HIS and health policy
• Safety, security and privacy of health information
• Design of health information technologies
• The impact of HIS on care providers, patients and payers
• Governance of HIS
• Patient-centered healthcare management
• Electronic data sharing and transfer using health information exchanges
• Public health informatics
• Clinical, public health and genomic data integration
• Big data, artificial intelligence and healthcare

Associate Editors

• Aaron Baird, Georgia State University, USA
• Eric Monteiro, Norwegian University of Science & Technology, Norway
• Indranil Bardhan, University of Texas at Austin, USA
• Jeong-ha (Cath) Oh, Georgia State University, USA
• Jie Mein Goh, Simon Frasier University, Canada
• Marco Spruit, University of Utrecht, The Netherlands
• Marie-Claude Trudel, HEC Montreal, Canada
• Mirou Jaana, University of Ottawa, Canada
• Niam Yaraghi, University of Connecticut, USA
• Ravi Aron, Johns Hopkins University, USA
• Tobias Mettler, University of Lausanne, Switzerland
• Yu Tong, Zhejiang University, China
• Yu-Kai Lin, Georgia State University, USA
• Youyou Tao, Loyola Marymount Univ, Los Angeles, USA
• Margunn Aanestad, University of Oslo, Norway
• Devinder Thapa, University of Agder, Norway
• Liwei Chen, University of Cincinnati, USA
• Nirup Menon, George Mason University, USA
• Ashish Gupta, Auburn University, USA
• Wencui Han, University of Illinois, USA
• Tobias Kowatsch, University of St.Gallen, Switzerland
• Josianne Marsan, Universite Laval, Canada
• Lina Bouyad, Florida International University, USA
• Doug Vogel, Harbin Institute of Technology, China
• Rajiv Kohli, College of William & Mary, USA
• Lauri Wessel, Universität Bremen, Germany
• Ursula Hübner, University of Applied Sciences Osnabrück, Germany
• Tsipi Heart, Ono Academic College, Israel
• Ton Spil, University of Twente, Netherlands
• Wenli Zhang, Iowa State University, USA
• Tianshi Wu, Harbin Institute of Technology, China
• Yi-Jen (Ian) Ho, Penn State University, USA
• Xiaofei Zhang, Nankai University, China
• Ermira Zifla, University of New Hampshire, US
• Sharon Tan, National University of Singapore, Singapore
• Joshua Ryan Vest, Indiana University, USA
• Jiang Junhui, South China University of Technology, China
• Hyeokkoo Eric Kwon, BTU, Singapore
• Na Liu, University of Sydney, Australia
• Casey Pierce, University of Michigan, USA

Digital Government and Smart Cities

Track Chairs

Atreyi Kankanhalli

National University of Singapore

atreyi@comp.nus.edu.sg

Rony Medaglia

Copenhagen Business School

rony@cbs.dk

Theresa Pardo

University of Albany

tpardo@ctg.albany.edu

Track Description

Governments around the world are undergoing radical transformations with the emergence of new digital technologies and techniques, such as Artificial Intelligence, the Internet of Things, big data and analytics. As part of these efforts, cities, too, are embracing the new technologies to tackle pressing urban problems and to effectively utilize their resources. Such digitalization of the public sector drives us to rethink the way government services are provided, citizens are engaged, and public agencies create value.

Indeed, the novel phenomena surrounding digital government generally and within the unique context of cities is challenging existing knowledge on the design, implementation, and management of information systems, public policy and organizations. Along with the rapid changes in technology, it thus becomes increasingly important for IS researchers to better understand the implications of digitalization on the complex relationships between public agencies, citizens, and businesses and its outcomes.

The Digital Government and Smart Cities track is intended for high‐quality papers on the varied dimensions of digital transformation in the public sector. We invite papers that can provide theoretical and methodological contributions by balancing research rigour with relevance.

Topics of interest include, but are not limited to:

• Digital transformation and innovation in the public sector
• Digitalization and Public-Private Partnership
• Digital government policy, design, implementation and practices
• Co-creation of digital innovation and public services
• Digitally-enabled citizen participation
• Smart Cities development and sectoral applications
• IoT and Artificial Intelligence in the public sector
• Blockchain technology and the public sector
• Open, linked and big data in the public sector
• Cloud computing in the public sector
• Citizen digital identity, security, and privacy
• Novel approaches to digital government research

Associate Editors

• Lemuria Carter, University of New South Wales, Australia
• Yannis Charalabidis, University of Aegean, Greece
• Helle Zinner Henriksen, Copenhagen Business School, Denmark
• Marijn Janssen, Delft University of Technology, The Netherlands
• Øystein Sæbø, University of Agder, Norway
• Jing Zhang, Clark University, USA
• Soon Ae Chun, City University of New York, USA
• Jungwoo Lee, Yonsei University, South Korea
• Peter Parycek, Danube University Krems, Austria
• Lei Zheng, Fudan University, China
• Gwanhoo Lee, American University, USA
• Pee Loo Geok, Nanyang Technological University, Singapore
• Chen Jin, University of Nottingham Ningbo, China
• Rahul De IIM, Bangalore India
• Sumeet Gupta, IIM, Raipur India
• Zhou Ya, University of Nottingham Ningbo, China
• Anneke Zuiderwijk, Delft University of Technology, The Netherlands
• Rehema Baguma, Uganda Technology and Management University, Uganda
• Karen Mossberger, Arizona State University, USA
• Giri Tayi, University at Albany, SUNY USA
• Robert Krimmer, Tallin University, Estonia
• Luis Luna Reyes, University at Albany, SUNY USA
• Elsa Estevez, Universidad Nacional del Sur, Argentina
• Rodrigo Sandoval Almadan, Universidad Autonoma de Mexico, Mexico

Digital Learning Environment and Future IS Curriculum

Track Chairs

Jan vom Brocke

University of Liechtenstein

jan.vom.brocke@uni.li

Alanah Mitchell 

Drake University

alanah.mitchell@drake.edu

Bernard Tan

National University of Singapore

btan@comp.nus.edu.sg

Track Description

IS education and curriculum has 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 relation to the digital learning environment. Current topics such as analytics, cloud computing, mobility, 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 as our students graduate. Therefore, it is imperative we meet the challenge to explore, understand, and improve the digital learning environment and the future of IS curriculum and education.

The Digital Learning Environment and Future IS Curriculum track is intended for high‐quality papers related to information systems education, learning environment, and curriculum.

Topics of interest include, but are not limited to:

• Studies of the digital learning environment
• Educational technology (learning management systems, eLearning, virtual/mobile learning, social media, and more)
• Curriculum development including model curricula
• IS education in relation to emerging topics (analytics, crypto, and more) or 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)
• Interdisciplinary or cross-disciplinary issues in IS education
• Teaching cases
• Experiential learning studies
• Understanding the needs of future employers of IS students
• Approaches for life-long learning and continuous education for professional development
• Accreditation and certification

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

Special notes regarding teaching cases:

• Teaching cases must include teaching notes when originally submitted, and the teaching notes will be reviewed. Teaching notes will not be included in the ICIS Proceedings, but rather will be provided directly to instructors on request by case authors. Teaching cases may only be submitted to this track.
• A teaching case must not exceed fourteen (14) single-spaced pages, and the required teaching note must not exceed five (5) single-spaced pages. Both the teaching case and teaching note must conform to the ICIS 2019 submission template. All text, figures, tables, and appendices must be included within the page limit. The cover page, abstract, keywords, and references are excluded from these page limits.

ICIS uses the following criteria for reviewing teaching cases:

• Case clarity: The case is clearly written and readable for a student audience.
• Issue identification and development: The key issues in the case are well-developed and identifiable by a student reader.
• Completeness: The case includes the information necessary for conducting an appropriate analysis of the issue(s) raised.
• Relevance: The case addresses a topic of importance to IS practice. The students will learn something important from studying it.
• Interest: The case is presented in an interesting way. It addresses a topic likely to sustain a student’s interest. The instructor will find it interesting to teach.
• Effectiveness of exhibits: The case exhibits are helpful to the 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

• Monica Adya, Marquette University, USA
• Asli Akbulut, Grand Valley State University, USA
• João Alvaro Carvalho, University of Minho, Portugal
• Amy Connolly, James Madison University, USA
• Lee Freeman, University of Michigan–Dearborn, USA
• Zixiu Guo, University of New South Wales, Australia
• Rassule Hadidi, University of Illinois Springfield, USA
• Julie E. Kendall, Rutgers University, USA
• Barbara D. Klein, University of Michigan-Dearborn, USA
• Guido Lang, Quinnipiac University, USA
• Alan T Litchfield, Auckland University of Technology, New Zealand
• Lih-Bin Oh, National University of Singapore, Singapore
• Jeffrey Proudfoot, Bentley University, USA
• Venky Shankararaman, Singapore Management University, Singapore
• Jason Sharp, Tarleton State University, USA
• Jan Seruga, Australian Catholic University, Australia
• Heikki Topi, Bentley University, USA
• Paul D. Witman, California Lutheran University, USA
• Amy B. Woszczynski, Kennesaw State University, USA
• Haifeng Xu, National University of Singapore, Singapore
• Rhonda Syler, University of Arkansas, USA
• Swapna Gottipati, Singapore Management University, Singapore

Smart Service Systems and Service Science

Track Chairs

Furen Lin

National Tsinghua University, Taiwan

frlin@iss.nthu.edu.tw

Paul P. Maglio

University of California, Merced

pmaglio@ucmerced.edu

Tuure Tuunanen

University of Jyväskylä

tuure@tuunanen.fi

Track Description

The aim of this track is to examine both theoretically and empirically how digitalization is transforming service in today’s global, digital, service oriented economy, including the use of data analytics and smart or autonomous technologies in serve settings. Service Science fosters a multidisciplinary approach to the study of service systems, value co-creating configurations of people, technology, internal and external stakeholders connected by value propositions and shared information. Service Science research in the Information Systems (IS) domain may integrate domain knowledge and methodologies from existing disciplines such as business/management, technology, people and organization, computers, and IS, among others, to provide unique contributions to academic and industry practice. Integrating and analyzing information from many different sources, including physical and human sensors, information extracted from different heterogeneous sources, machines and devices, and so on, provides the bases for smart technologies that can operate independently in service systems. Designing, managing and maintaining such systems-based service is a complex task that requires the services continue operating with the requested quality of service at all times. The track aims to present original research on approaches, and in particular focusing on the development of models and techniques, design methodologies, and empirical evaluation related to the use of modern information systems in service.

Topics of interest include, but are not limited to:

• Business models and value proposition of digital services and inter-organizational service systems/networks
• Business process synthesis, and decomposition, and mining within service systems
• Case studies of IS servitization
• Design and development of cyber-physical/Internet-of-Things based services
• Design thinking and design science research approaches for services and service systems
• Digitalization of services
• Digital service design
• Digital service innovations
• ICT and service strategies and aligning business and ICT through service management
• Methodologies, techniques, and tools for automated service composition and delivery
• Research methodologies for service science/research
• Smart services and smart service systems
• Autonomous service systems
• Service analytics
• Service creation or provision in digital ecosystems and platforms
• Service design strategies and approaches, strategies and theory
• Service innovation concepts, studies, and theory
• Service modeling for services and service systems
• Service-oriented computing for dynamic provision of services
• Service quality
• Service transformation via novel financial technologies (FinTech) including mobile payments, robo-advisors, and blockchain
• Servitization concepts, studies and theory

Associate Editors

• Alex Medina-Borja, National Science Foundation, USA
• Andreas Zolnowski, Signal Iduna Group, Germany
• Barbara Pernici, Politecnico di Milano, Italy
• Cathy Lin, National University of Kaohsiung, Taiwan
• Chiehyeon Lim, Ulsan National Institute of Science and Technology
• Christoph Breidbach, University of Melbourne, Australia
• Christoph Peters, University of St. Gallen, Switzerland
• Cinzia Cappiello, Politecnico di Milano, Italy
• Daniel Beverungen, Paderborn University, Germany
• Erol Kazan, University of Jyväskylä, Finland
• Erwin Fielt, Queensland University of Technology, Australia
• Houn-Gee Chen, National Taiwan University, Taiwan
• Hsin-lu Chang, National Chengchi University, Taiwan
• Jens Poeppelbuss, University of Bremen, Germany
• Jim Spohrer, IBM Research, USA
• Jyun-cheng Wang, National Tsing Hua University, Taiwan
• Kelly Lyons, University of Toronto, Canada
• Lysanne Lessard, University of Ottawa, Canada
• Jack Shih-Chieh Hsu, National Sun Yat-sen University, Taiwan
• Eric Dubois, Luxembourg Institute of Science & Technology
• Martin Semmann, University of Hamburg, Germany

General Topics

Track Chairs

Elena Karahanna

University of Georgia

ekarah@uga.edu

Gal Oestreicher-Singer

Coller School of Management, Tel Aviv University

gal.oestreicher@gmail.com

Suprateek Sarker

University of Virginia

ss6wf@comm.virginia.edu

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.

Topics of interest include, but are not limited to:

Open to papers that do not have a specific fit with other tracks and to papers that have a very comprehensive, cross-thematic scope.

Associate Editors

• Jennifer Claggett, University of Virginia, USA
• Qianqian (Ben) Liu, City University Hong Kong, Hong Kong
• Adela Chen, Colorado State, Fort Collins USA
• Chong (Alex) Wang, Peking University, China
• Clay Williams, Southern Illinois U, Edwardsville USA
• Weifeng Li, University of Georgia, USA
• Hani Safadi, University of Georgia, USA
• David Preston, Texas Christian, USA
• Christina Serrano, Colorado State, Fort Collins USA
• Xia Zhao, University of Georgia, USA
• Yael Inbar, CMU, USA
• Sofia Bapna, UM, USA
• Mingfeng Li, GTech, USA
• Inbal Yahav, Bar Ilan University, Israel
• Beibei Li, CMU, USA
• Mingdi Xin, UC Irvin, USA
• Miguel Godinhomatos, U. Catolica Lisbon, Portugal
• Rodrigo belo Erasmus, Nethereland
• Hajer Kefi, Paris School of Business, France
• Indranil Bose, IIM Calcutta, India
• Xiao Xiao, Copenhagen Business School, Denmark
• Sherae Daniels, University of Cincinnati, USA
• Sutirtha Chatterjee, UNLV, USA
• Tanya Beaulieu, Utah State University, USA
• Andrew Hardin, UNLV, USA
• Valerie Bartelt, University of Denver, USA
• Yingqing Zheng, Royal Holloway University of London, UK
• Gaurav Bansal, Wisconsin at Green Bay, USA
• Evgeny Kaganer, IESE, Spain
• Anna Sidorova, University of North Texas, US
• Darshana Sedera, Swinburne University of Technology, Australia
• Jacob Nørbjerg, Copenhagen Business School, Denmark
• Lior Fink, Ben-Gurion University of Negev, Israel
• Mohammed Sabegh, Queensland University of Technology, Australia
• Matt Germonprez, University of Nebraska at Omaha, USA
• Atish Sinha, University of Wisconsin Milwaukee, USA
• Jae-Hyeon Ahn, KAIST, South Korea
• Youngjin Yoo, Case Western University, USA
• Maduka Sunasinghage, Auckland University of Technology, New Zealand

Emergency Associate Editors

• Stephan Aier, University of St.Gallen, Switzerland
• Markus Böhm, Technical University of Munich, Germany
• Ulrich Bretschneider, Witten/Herdecke University, Germany
• Philipp Ebel, University of St.Gallen, Switzerland
• Andrade Rojas Mariana Giovanna, Nanyang Technological University, Singapore
• Jianxiong Huang, Nanjing University, China
• Lian Jian, U. of Southern California, USA
• Gunwoong Lee, Sungkyunkwan University , Korea
• Yan Lin, Shenzhen University, China
• Josianne Marsan, Université Laval, Canada
• Christoph Peters, University of St.Gallen, Switzerland
• Sofia Schöbel, University of Kassel, Germany
• Sungyong Um, National University of Singapore, Singapore
• Yun Xu, South Western University of Finance and Economics, China

IS Research Methods, Theorizing and Philosophy of Science

Track Chairs

Cecil Chua

University of Auckland, New Zealand

aeh.chua@auckland.ac.nz

Jonny Holmstrom

Umea University, Sweden

Jonny.holmstrom@umu.se

Suzanne Rivard

HEC Montréal

suzanne.rivard@hec.ca

Track Description

Information Systems addresses questions and issues unique among the academic disciplines. The changing nature of technology, and concordant transformation of the social and organizational landscape means we continuously need both new tools, techniques, approaches, thinking and theories and to adapt existing ones to our particular situation. Our field therefore needs to discuss and debate these while simultaneously re-evaluating the moral and philosophical underpinnings of our discipline.

It is common for academic fields to “take stock” of their research traditions – ICIS represents one venue for performing this “stock taking.” This track is the forum for conducting challenging debates. We invite submissions that address underlying questions of theory and theorizing, methodology, and philosophy within IS research. Specifically, we are interested in papers that, either through argumentation or through methodological rigor, push the envelope in terms of what is known and acceptable within the IS community.

Topics of Interest

The types of topics we invite discussion on include, but are not limited to:

Conceptual treatises on new and emerging theories in the IS domain:
• Theoretical perspectives that build on existing theoretical paradigms to extend them into new theoretical arguments
• Theoretical analyses of new domains and contexts, that simply did not exist in previous time periods (for instance, the use of Twitter in political campaigns)
• Novel interpretations of theoretical paradigms new contexts that highlight contradictions and conflicts, while providing new insights (for instance, the potential of mobile devices to increase market reach for marketers while also affecting individual privacy)
• Application of theoretical perspectives in the process of designing new IT artifacts, their interactions with societal agents, or their interaction with each other (for instance, applications around the Internet of Things or the use of agent-based modeling for theoretical explorations)
• Extending theories into multi-layer contexts through explicitly recognizing layer-specific heterogeneity – theory at a greater level of granularity

New methodological approaches to IS research that build on the combination of structured and unstructured data, as well as their philosophical underpinnings:
• The use of massive randomized field and lab experiments for causal inference
• Netnographical approaches to understanding discourse and interactions in online and mobile communities
• Unsupervised and supervised machine learning techniques, applied to the IS artifact or data generated through IS artifacts, for generating insight
• Agent-based models as well as mathematical modeling of micro-level interactions
• Grounded theory perspectives on new forms of interactions between individuals and the IT artifact
• Large-scale statistical models using publicly available datasets (Census data, weather data, governmental data) that address vital IS-related societal questions, with insights on the ability to make causal arguments

Evaluations and critiques of trends in IS research, from a methodological or theoretical perspective:
• Reviews of ontological, epistemological, and methodological issues in IS research
• Ethical or moral considerations in IS research, and the increasing concerns for privacy and security
• Developments of new frameworks or models of IS research, with implications for evaluation of research, acceptability within the community, and the publication process
• Evaluations of the evaluators – or critiquing the field itself (for instance, how are we, as a community of applied organizational and business researchers, doing)
• Enhancing cross-disciplinary and inter-disciplinary work in IS (for instance, to what extent are we informing our colleagues in the reference disciplines)

Criteria for evaluating papers within this track:
• Does the paper push the boundaries of the field in terms of research paradigms, ethics, logics, norms, or institutions?
• Is there a significant theoretical extension to the literature in the paper? That is, does it advance a set of theoretical arguments that are novel?
• Is there a clear methodological contribution? Does the methodology enable us to see what could not be seen before? Note that pure methods development is not adequate, if it is not targeted at an important question.
• Is the domain of the paper novel, in the sense that there are no exemplars of similar work within recent IS published research?

Associate Editors

• Andrew Burton-Jones, University of Queensland, Australia
• Crispin Coombs, Loughborough University, UK
• Nick Hassan, University of Minnessota, USA
• Gloria Liu, National Central University, Taiwan
• Mohammad Moeini, Sussex University, UK
• Michael Myers, University of Auckland, New Zealand
• Ojelanki Ngwenyama, Ryerson University, Canada
• Koteswara Ivaturi Rao, Accenture/Swinburne University, Australia
• Knut Rolland, University of Oslo, Norway
• Ron Thompson, Wake Forest University, USA
• Gregory Vial, HEC Montreal, Canada
• Linda Wallace, Virginia Tech, USA
• Jane Webster, Queen’s University, Canada
• Viktor Arvidsson, Sydney Business School, Australia
• Liette Lapointe, McGill University, Canada
• Andrew Schwarz, Lousiana State University, USA
• Miguel Aguirre-Urreta, Florida International University, USA
• Heng Xu, Pennsylvania State University, USA
• Young Kwark, University of Florida, USA

Human Behavior and IS

Track Chairs

Kathy Chudoba

Utah State University

kathy.chudoba@usu.edu

Jimmy Huang

University of Warwick

Jimmy.Huang@wbs.ac.uk

James Y.L. Thong

Hong Kong University of Science and Technology

jthong@ust.hk

Track Description

The interplay between human behavior and information systems is a perennial topic in our discipline, but it has never been more important with the expanding infusion of technology into our social and work lives. The question of whether technologies shape and influence human behaviors, or human behaviors inform the use and design of technologies, or some combination continues to foster debate. This track focuses on the interaction of human behaviors and information systems at the individual, group, organizational, and societal levels as well as the intersection across levels. We are interested in broader interactions that occur in organizational and social contexts, rather than more micro-level interactions between humans and technology. We welcome submissions that rigorously test, extend, or challenge current beliefs, assumptions, and theories. Research that examines less-explored areas is especially encouraged. All research methods are welcome – qualitative, quantitative, or mixed-method – as well as conceptual articles that offer theoretical insights and directions for future research.

Topics of interest include, but are not limited to:

• Influence of individual and collective behaviors on the design and use of information systems
• Influence of information systems on individual behaviors, group dynamics, and organizational norms and policies
• Influence of social and organizational factors on human behaviors associated with information systems (e.g., organizational culture, social norms, institutional forces, etc.)
• Different patterns of human interactions and the technologies used to support the interactions
• Cross-cultural analysis of human behaviors and information systems
• The interplay between human behavior and the design of technology
• Gamification and its influence on human behaviors

Associate Editors

• Hala Annabi, University of Washington, USA
• Katerina Antonopoulou, University of Sussex, UK
• Fabiola Bertolotti, University of Modena and Reggio Emilia, Italy
• John Carlson, Baylor University, USA
• Frank Chan, ESSEC Business School, France
• Alain Chong, Nottingham University Ningbo, China
• Brian Dunn, Utah State University, USA
• Kelly Fadel, Utah State University, USA
• Natalie Gerhart, Creighton University, USA
• Gabe Giordano, Ohio University, USA
• Peter Gray, University of Virginia, USA
• Andy Harrison, University of Cincinnati, USA
• Susanna Ho, Australian National University, Australia
• Hartmut Hoehle, University of Mannheim, Germany
• Carol Hsu, Tongji University, China
• Weiling Ke, Clarkson University, USA
• Tat Koon Koh, Hong Kong University of Science and Technology, Hong Kong
• Dongwon Lee, Hong Kong University of Science and Technology, Hong Kong
• Carmen Leong, University of New South Wales, Australia
• Matthew Mengxiang, Li Hong Kong Baptist University, Hong Kong
• Seth Li, College of William & Mary, USA
• Huigang Liang, East Carolina University, USA
• Martin Liu, Nottingham University Ningbo, China
• Marco Marabelli, Bentley University, USA
• Kent Marett, Mississippi State University, USA
• Elisa Mattarelli, University of Modena and Reggio Emilia, Italy
• Onook Oh, University of Colorado Denver, USA
• Greta Polites, Kent State University, USA
• Cindy Riemenschneider, Baylor University, USA
• Patrick Stacey, Loughborough University, UK
• Ayoung Suh, City University of Hong Kong, Hong Kong
• Tracy Sykes, University of Arkansas, USA
• Barney Tan, University of Sydney, Australia
• Ofir Turel, California State University, Fullerton USA
• Jaime Windeler, University of Cincinnati, USA
• Susan Winter, University of Maryland, USA
• Zhewei Zhang, University of Warwick, UK
• Andy Nan, Zhang Harbin Institute of Technology, China
• Melody Zou, University of Warwick, UK
• Michelle Carter, University of Washington, US
• Mike Gallivan, Georgia State University, US
• Shen Yi, Soochow University, China
• Brian Nicholson,University of Oslo, Norway
• Elizabeth Baker, University of North Carolina at Wilmington, US
• Alireza Nili,Queensland University of Technology, Australia
• Dimitrios Tsekouras, Erasmus University, Netherlands
• Jie Yu, Nottingham University Business School China, China
• Yi Wu, Tianjin University , China
• David CW Phang, Nottingham University Business School China, China
• Tingru Cui, University of Wollongong, Australia
• Dimple Thadani,University of Nottingham Ningbo China, China
• Kevin Guan, University of Sydney, Australia
• James Gaskin, Brigham Young University, USA

Governance, Strategy, and Value of IS

Track Chairs

Min-Seok Pang

Temple University, USA

minspang@temple.edu

Shirish C. Srivastava

HEC Paris, France

srivastava@hec.fr

Thompson S.H. Teo

National University of Singapore, Singapore

bizteosh@nus.edu.sg

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.

In this track, we invite thought-provoking, original research articles that expand and challenge our understanding of strategic management, governance, and value of IT. We are expecting high-quality research that either develops a new theoretical framework for strategy, governance, and value of IT or provides interesting, surprising empirical findings for the track theme with rigorous execution. New interdisciplinary approaches with strategic management, economics, or organizational theory literature are particularly welcomed. We also require that submitted papers offer meaningful, actionable implications for practitioners with, for example, a new framework for appraisal of value in advanced digital technologies, implementation of IT-enabled competitive strategies, and governance of AI-enabled digital infrastructures.

Topics of interest include, but are not limited to:

• IS strategy and governance processes
• IS strategic alignment in the digital age
• 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

Associate Editors

• Rohit Nishant, Université Laval, Canada
• Eric T.G.Wang, National Central University, Taiwan
• Chandrasekaran Raganathan, U Illinois at Chicago, USA
• Jonathan Ye, U of Waterloo, Canada
• Mei Lin, Singapore Management U, Singapore
• Qian Tang, Singapore Management U, Singapore
• Satish Krishnan, IIM Kozhikode, India
• Samuel Fosso Wamba, Toulouse Business School, France
• T Ravichandran, Rensselaer Polytechnic Institute, USA
• Jan Ondrus, ESSEC Business School, France
• Pankaj Setia, University of Arakansas, USA
• Shalini Chandra, SP Jain School of Global Management, Singapore
• Nripendra P. Rana, Swansea University, UK
• Jessie Pallud, University of Strasbourg, France
• Mohamed-Hedi Charki, EDHEC Business School, France
• Christophe Elie-Dit-Cosaque, University Paris-Dauphine, France
• Angsana Techatassanasoontorn, Auckland University of Technology, New Zealand
• Prasanna Karhade, University of Hong Kong, Hong Kong
• Yongsok Bang, Chinese University of Hong Kong, Hong Kong
• Wen Wen, University of Texas, Austin USA
• Hilal Atasoy, Temple University, USA
• Keumseok Kang, Florida International University, USA
• Matt Wimble, University of Michigan, Dearborn USA
• Ling Xue, Georgia State University, USA
• Fujie Jin, Indiana University, USA
• Dawei David Zhang, Lehigh University, USA
• Terence Saldanha, Washington State University, USA
• Daniel Rush, Boise State University, USA
• Anuragini Shirish, Mines-Télécom Institute Business School, France
• Aleksi Aaltonen, Temple University, US

Economics and IS

Track Chairs

Gordon Burtch

University of Minnesota

gburtch@umn.edu

Pedro Ferreira

Catolica Lisbon / CMU

pedrof@cmu.edu

Sean Xue

Tsingua University

xuxin@sem.tsinghua.edu.cn

Track Description

Information Technology (IT) is creating and destroying markets, transforming organizations, and forcing us to rethink how economic actors interact. The Economics and IS track welcomes papers looking at how IT is transforming the behavior of economic agents (organizations or individuals) and changing how we create, make, distribute, or consume goods and services.

The track invites theoretical and empirical papers relying on economics to explain the application, use, and impact of IT in modern society. These papers will provide a better understanding of the issues underlying the transformation of our economic environment, of our behaviors, and of the opportunities and challenges it is creating.

Topics of interest include, but are not limited to:

• Networks and virtual communities
• IT innovation and economic transformation
• IT productivity/business value
• Crowdfunding and other Fintech phenomena
• Economic implications of Internet of things
• Intellectual property
• Smart contracts
• Inter-organizational information and knowledge sharing
• Information goods, digital market places and platforms
• Digital privacy and security
• Organizational boundaries
• Artificial intelligence and machine learning in the economy
• Methodological challenges and opportunities
• Industry studies

Asssociate Editors

• Jianqing Chen, UT Dallas, USA
• Jui Ramaprasad, McGill, USA
• Yan Huang, CMU, USA
• Nina Huang, ASU, USA
• Liangfei Qiu, UFL, USA
• John Horton, NYU, USA
• Alejandro Zentner, UT Dallas, USA
• Schachar Reichman, Tel Aviv, Israel
• Tobias Kretschmer, LMU, Germany
• Jorg Claussen, CBS / LMU, Germany
• Michael Kummer, UEA, UK
• Byunjoon Yoo, SNU, Korea
• Zhiling Guo, SMU, Singapore
• Rajiv Garg, UT Austin, USA
• Amit Mehra, UT Dallas, USA
• Anuj Kumar, UFL, USA
• Jesse Bockstedt, Emory, Canada
• Kartik Ganju, McGill, Canada
• Luis Aguiar, European Commission, Europe
• Hong Xu, HKUST, Hong Kong
• Yifan Dou, Fudan University, China
• Lihui Lin, Tsinghua, China
• Dandan Qiao, NUS, Singapore
• Yili (Keving) Hong, Arizona State University, USA
• Vilma Todri, Emory University, USA

Panels

Track Chairs

Frantz Rowe

University of Nantes

Frantz.Rowe@univ-nantes.fr

Subodha Kumar

Fox, Temple University

subodha@temple.edu

Siew Kien Sia

Nanyang Technological University

asksia@ntu.edu.sg

Panels Description

Panels afford the opportunity to present topics and ideas that are ground-breaking and perhaps provocative to the IS community. A good panel must engage the audience and the invited experts in a discussion that will stimulate interaction and enhance the learning experience with a goal of moving the specific topic forward to greater understanding and application. Panel topics are varied, but generally pertain to contemporary issues that demand focused research attentions, new research challenges, or changes to the status quo of the discipline. Panels related to the conference theme are especially welcome. We encourage proposals that also include innovative and inspirational elements to raise the quality of panel discussion. Details on the structure of panel proposals and review criteria are available on the ICIS submissions page.

Required Elements of Panel Proposals

A panel proposal should include the following seven sections:

– Introduction: General description of the panel or issues to be discussed or debated stating the reason for the panel.
– Issues: Issues or dilemma that will be discussed.
– Panelists: Names and positions of those who will take varied viewpoints. For debates, identification of proponents and opponents.
– Panel Structure: Description of timing of the session and the format of interaction among participants and with the audience.
– Participation Statement: A statement that all participants have made a commitment to attend the conference and serve on the panel if the panel is accepted.
– Biographies: A brief description of each participant’s background, including expertise related to the topic and views of the issues.
– References: as appropriate.
Review Criteria
– Panel Topic: Topic is interesting, novel, cutting edge and invites debate and discussion.
– Panel Format: Panel focuses on discussion and not the presentation of research results; format is innovative and involves the audience.
– Panelists: Panelists are leaders and/or well-published in the panel topic area and represent a diversity of opinions, backgrounds and geographic regions.
– Implications: The outcome of the panel has likely 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 five (5) single-spaced pages and must conform to the ICIS 2019 submission template. The 5 page count must include all text, figures, tables, and appendices. Abstract, keywords, and references are excluded from this page count. Proposers may attach a video clip or similar to their submission to illustrate the intended format.

Associate Editors

• Carol Saunders, North Arizona University, USA
• David Kreps, Salford University, UK
• Raphael Suire, University of Nantes, France
• Dov Te’eni, Tel Aviv University, Israel
• Robert Davidson, Hong Kong City University, Hong Kong
• Jae Kyu Lee, KAIST, Korea
• Lu Xianghua, Fudan University, China
• Emre Demirezen, University of Florida, USA
• Kristine Dery, MIT CISR, Australia
• Yinliang (Ricky) Tan, Tulane University, USA

Paper-a-Thon

Track Chairs

Tina Blegind Jensen 

Copenhagen Business School

blegind@cbs.dk

Steven L. Johnson

University of Virginia

steven@virginia.edu

Cheng Yi

Tsinghua University, China

yich@sem.tsinghua.edu.cn

Track Description

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

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

Pre-ICIS: Applying — If the event is appealing to you and you can commit to attending in full, you are highly encouraged to apply—there are no restrictions on who can apply to the Paperathon. The application process consistent of completing a survey (at https://semtsinghua.au1.qualtrics.com/jfe/form/SV_bBialUYlD1o0at7) in order to identify what interests, abilities, and resources you can contribute to a project team (e.g., data, methods, perspectives, and domain expertise). We encourage participants to arrive with ideas about potential projects, yet we also ask that you remain open-minded to project ideas that emerge through collaboration with your project team and the mentor.

The application deadline is September 15st, 2019, 11:59 p.m. Munich time (UTC +2). The agenda for the Paperathon is described below. You should only apply to participate in the Paperathon if you can commit to attending both days.

Agenda

Day 1: Saturday, December 14, 2019

1:00 PM Kick-off and introductions
1:15 – 2:00PM “Brainstorming” — Initial group meeting to brainstorm new paper ideas.

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

2:00 – 2:15PM Matching of mentors and groups
2:15 – 4:00PM In-depth working session of project team and project mentor to brainstorm, filter, and refine paper ideas and identify an “overnight” work plan.

●       Mentor and project team should reach mutual understanding about the potential for future mentor involvement in project (e.g., if any continued involvement and/or interest in co-authorship collaboration)

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

●       Work hard. Have fun. There is less than 24 hours to develop an extended abstract. If applicable, analyze data to prepare preliminary results. Articulate contributions to literature and possible implications for practice. Prepare the “pitch” presentation.

●       To facilitate a focused effort on the project, the workshop room (with refreshments and supplies) will remain open overnight.

Day 2. Sunday, December 15, 2019

Morning Continue working as project teams to prepare an extended abstract and the “pitch” presentation.

●       It is highly recommended to discuss the project ideas with the mentor to refine the presentation.

1:00 – 3:00PM “Pitch” presentations to Editor Panel.

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

●       The top three finalists receive an automatic “acceptance” in the conference proceedings. 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.

Tuesday, December 17, 2019

4:30 – 6:00PM Invited teams present at ICIS paper session

The deadline for Paper-a-thon submissions is September 2nd, 2019, 11:59 p.m.

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

Mentors: TBA

Professional Development Workshops (PDWs)

Track Chairs

Ulrike Schultze

Southern Methodist University

uschultz@smu.edu

Marina Fiedler 

University of Passau

Marina.fiedler@uni-passau.de

Adrian Yeow

Singapore University of Social Sciences

Track Description

The “Professional Development Workshop” (PDW) Track is a new track that will be introduced at ICIS 2019.

The PDW Track distinguishes itself from other tracks by offering tutorials and other active learning modalities for a variety of topics related to information systems (IS) research and teaching. The track objective is to facilitate sessions that actively engage the participants so as to develop and update their professional skills.

research related example of an ICIS PDW session might tackle theories or methods relevant to IS research by providing participants with an expert-led ‘grand tour’ of the research in this area or a debate on it. This could then be followed up with pre-registered participants being able to workshop their papers. A teaching related example of an ICIS PDW session might illustrate a new technology-enabled technique that is presented in a hands-on manner to mirrors how it might be used in graduate education.

As these examples indicate, these sessions in this track need to be different from ICIS panels. Also, a PDW might string together a number of 90 minute slots, thus supporting a wide variety of session formats with a maximum of 270 minutes.

The PDW proposal must not exceed ten pages and must conform to the ICIS 2019 submission template. The ten-page count must include all information (i.e. topic, organizers, abstract, keywords, text, figures, tables, references and appendices). Proposers may attach a video clip or similar to their submission to illustrate the intended format.

Required Elements of PDW Proposals:

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

Logistical Notes

Organizers whose proposals are accepted will be given an opportunity to submit a short paper for review. These short papers should distill the substantive elements of the accepted proposal. These short papers will be included in the ICIS proceedings and some of these papers will be selected for possible publication in CAIS. The short paper must follows the ICIS 2019 guidelines for short papers (must not exceed eight pages and must conform to the submission template).

Important Dates:

  • PDW Proposal Submission Deadline: May 1, 2019
  • Acceptance Decisions for PDW Proposals: June 21, 2019
  • Short Paper Submission Deadline: July 21, 2019
  • Short Paper Feedback: August 30, 2019
  • Revised Short Paper Submission Deadline: September 18, 2019

Review Criteria

– PDW Topic: The topic draws a strong audience

– PDW Learning Experience and Format: PDW offers an active learning experience of high relevance to the professional development of the participants (it should not replicate the regular program)

– Interaction/Participation: High potential for interaction between and participation among PDW attendees

– Creativity/Innovation: The PDW design displays novelty

– Organizer Expertise: PDW leaders (e.g., organizers, presenters/panelists, mentors) exhibit requisite expertise in topic/technique

Associate Editors

• Robert Austin
• Michel Avital
• Bijan Azad
• Harris Kyriakou
• Lynne Markus
• Ching Ren