Track Descriptions

Information Systems Contemporary Issues

1.1 Conference Track: Bridging the Internet of People, Data, and Things

Track Chairs 

Rikard Lindgren
University of Gothenburg, Sweden
rikard.lindgren@gu.se

Katerina Pramatari
Athens University of Economics & Business, Greece
k.pramatari@aueb.gr

Robert Winter
University of St. Gallen, Switzerland
robert.winter@unisg.ch

Track Description

A few years back, we perceived the rapid uptake of digital and mobile media to be an interesting phenomenon. Today, these technologies have permeated our lives to an unprecedented degree and the interplay of people, data, and things is evolving at an increasingly fast pace. We connect to friends, family members, colleagues, and communities 24/7, and interact with objects surrounding us such as our fridge, car, drone 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 the society at large? How to design innovative solutions?

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 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 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,
  2. to contribute to the development of innovative and disruptive use cases,
  3. to assess their advantages and disadvantages from individual and organizational perspectives, and
  4. to contribute to a better understanding of respective design problems and innovative designs that address such problems. 

We invite papers that utilize a diverse range of perspectives, and 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.

Topics of interest include, but are not limited to:

  • Novel business models and value creation enabled by networks of people, data, and things
  • Key technology affordances that influence use patterns and shape individual, organizational, and societal behaviors
  • Privacy, ownership, and informed consent of data and information
  • Roles, governance structures, authority relations, and community boundaries
  • Digital entrepreneurship and organizational capabilities required to exploit pertinent innovations
  • Empirical accounts of human agents, data, algorithms, and devices and their relationships and interactions
  • Design, implementation, and evaluation of novel digital systems and infrastructures that render innovative or disruptive use-cases
  • Algorithmic decision-making afforded by big-data and business analytics
  • Assessments of the consequences of Internet of people, data, and things from individual, organizational, and societal perspectives
  • New approaches and methods that are appropriate for the study of increasingly complex digitalized environments

Associate Editors

  • Jonas Andersen, IT University of Copenhagen, Denmark
  • Ida Asadi Someh, University of Melbourne, Australia
  • Cleopatra Bardaki, Athens University of Economics & Business, Greece
  • Andreas Drechsler, Victoria University of Wellington, New Zealand
  • Kazem Haki, University of St. Gallen, Switzerland
  • Christian Janiesch, University of Wuerzburg, Germany
  • Panos Kourouthanassis, Ionian University, Greece
  • Aron Lindberg, Stevens Institute of Technology, USA
  • Wolfgang Maass, Saarland University, Germany
  • Brian O’Flaherty, University College Cork, Ireland
  • Ariana Polyviou, University of Cyprus, Cyprus
  • Juliana Sutanto, Lancaster University, UK
  • Aris Theotokis, University of Leeds, UK
  • Frederic Thiesse, University of Wuerzburg, Germany
  • Stefano Za, LUISS Guido Carli University, Italy

1.2 General IS Topics

Track Chairs

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

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

Sunil Wattal
Temple University, USA
swattal@temple.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 welcomes the chairs of other tracks the opportunity to submit their manuscripts.

Topics of interest include, but are not limited to

  • Open for all kinds of perspectives that do not have a specific fit with other tracks or have a very comprehensive, cross-thematic scope.

Associate Editors

  • Rainer Alt, University of Leipzig, Germany
  • Ivo Blohm, U. St. Gallen, Switzerland
  • Cecil Chua, University of Auckland, New Zealand
  • Ben Choi, Nanyang Technological University, Singapore
  • Barbara Dinter, Technical University of Chemnitz, Germany
  • Philipp Ebel, University of Kassel, Germany
  • Jianxiong Huang, Nanjing University, China
  • Hanna Krasnova, University of Potsdam, Germany
  • Dennis Kundisch, University of Paderborn, Germany
  • Ulrike Lechner, University of Armed Forces, Germany
  • Christine Legner, University of Lausanne, Switzerland
  • Xitong Li, HEC Paris, France
  • Ali Sunyaev, Karlsruhe Institute of Technology, Germany
  • Wang Nan Tina, Eastern Illinois University, USA
  • Jing Wang, HKUST, Hong Kong
  • Yun Xu, Southwestern University of Finance and Economics, China

1.3 Practice-Oriented Demand-driven IS

Track Chairs 

Niels Bjørn-Andersen
Copenhagen Business School, Denmark
nba@cbs.dk

Samir Chatterjee
Claremont Graduate University, USA
profsamir1@gmail.com

Thompson S.H. Teo
National University of Singapore
bizteosh@nus.edu.sg

Track Description  

The field of IS as most other research fields have become obsessed with writing publications, because we are measured on number of publications. Irrespectively of whether they have value to any of our stakeholders (students, industry or society). As New York Times wrote recently, we are not doing research; we have become ‘paper writing factories’ turning out papers that fewer and fewer reads.

The mindless strive for theory instead of real knowledge, rigor instead of relevance and citations rather than impact/use is not sustainable. Over the last few years, there has been more and more articulate voices critiquing this development. It is urgently necessary to change course.

The track Practice-Oriented Demand-Driven Information Systems is dedicated to attracting research papers addressing a specific, real world challenge or opportunity that has perceived practical relevance.

The track is inviting three types of contributions

  1. Papers analysing the current IS journal publications to determine the extent to which the IS field has become a self-serving, mutual admiration club, which offer little value (if any) to our stakeholders
  2. Offer alternative evaluation criteria for assessing impact on our stakeholders. How can we measure impact, where it is especially important to provide practical and relevant measures
  3. Concrete examples of how IS research and projects that has actually provided value to any of our stakeholders

This track aims to attract IS research that addresses “Big Ideas” and “Grand Challenges” problems and their solutions. We are particularly interested in innovative and creative solutions where some actual ICT artefact is made/built that our stakeholders can find value to use. Action Research and Design Science Research papers are welcome. This track is mostly interested in research that produces value and has some influence to society.

In addressing the challenge(s), authors are encouraged to submit in-depth research that provides rich stories, unique insights, and useful conceptual frameworks for information systems practice. We aim to stimulate ongoing discussions at the intersection of research and practice and contribute to the development of practice-oriented demand-driven IS research. Submitted papers will be specifically screened for relevance and usefulness to IS practice in addressing the challenge(s).

Overall, this track aims to:

  • Provide an in depth understanding of the existential relevance crisis for traditional academic research
  • Provide beneficial examples of how we might measure value to practice
  • Showcase highest quality practice-oriented demand-driven IS research
  • Promote practice-oriented demand-driven IS research as a key source of insight and guidance for IS practice
  • Provide researchers a platform to present and discuss their practice-oriented demand-driven IS research findings with IS executives and academics and expose the community to current challenges in IS practice
  • Help identify the most challenging managerial issues in IS practice and frame them as new questions that could guide future practice-oriented demand-driven IS research

Additional guidance for authors

This practice track has run for a number of years at ICIS. For ICIS 2018, in addition to being practice-oriented, we also focus on demand-driven manuscripts that provide IS-related solutions to address one of more highlighted challenge(s). We are not just seeking research with strong relevance for practitioners that addresses a particular challenge, but manuscripts that are written in a way that makes them easily accessible to such a reader. This means that any accepted manuscript will not follow the traditional “rules” of writing for an academic audience.

If you are not a regular reader of MISQE articles we would advise you to read a few articles here 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; What is a problem that you are now going to help them solve expressed in terms of value to them

Short introduction to topic

Frame the topic of the article. 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

  • Kim Normann Andersen, Copenhagen Business School, Denmark
  • Chrisanthi Avgerou, London School of Economics, London
  • Wenyu Du, Beihang University, China
  • Rohit Nishant, ESC Rennes School of Business, France
  • Shan-Ling Pan, University of New South Wales, Australia
  • Rasmus Pedersen, Copenhagen Business School, Denmark
  • Shirish Srivastava, HEC Paris, France

1.4 IS Curriculum and Education

Track Chairs

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

Mary J. Granger
George Washington University, USA
granger@gwu.edu

Heikki Topi
Bentley University, USA
htopi@bentley.edu

Track Description 

The competencies that a scientific discipline enables a variety of audiences to gain through teaching and education are central to the discipline’s definition and identity. Indeed, most disciplines are much more broadly known through undergraduate and master’s level education than cutting-edge scientific discoveries. Information systems is a particularly complex topic for students and practitioners because it exists at the intersection of technology and social structures; consequently, it requires the mastery of competencies related to both the problem domain and technology artifacts. The success of our field is heavily dependent on our success in the classroom, virtual learning environments, and community outreach. Also, it is largely through education that our scientific discoveries will find their way to organizations and help them transform, often radically. Eventually, it is primarily through education that our discipline can demonstrate societal relevance. While a good number of colleagues read our research articles, millions of students attend our classes on a daily basis and they will take responsible positions in economy and society once they graduate.

It is, therefore, imperative that we meet the challenge with pedagogical innovations, up-to-date and engaging content, relevant teaching cases, close connections with the practitioner community, and a solid understanding of the quality of various pedagogical approaches achieved through rigorous research. The Information Systems Curriculum and Education track provides an opportunity to exchange conceptual ideas and empirical findings regarding curriculum, pedagogy, pedagogical innovations, the use of technology to improve learning, as well as content innovations.

 

Topics of interest include, but are not limited to:

  • Curriculum and syllabus development, including model curricula and competency models
  • Sharing of educational resources
  • Innovative pedagogy
  • Program attractiveness and enrollments
  • Development of the teaching capabilities of faculty
  • Accreditation and certification
  • Theory of learning and pedagogy in Information Systems
  • Educational technology, including eLearning, virtual and mobile learning, and social media
  • Understanding the educational needs of future employers of Information Systems students
  • Ethical and social issues in the context of Information Systems education
  • Global issues in Information Systems education
  • Interdisciplinary or cross-disciplinary approaches to Information Systems education; collaboration with other disciplines
  • Role of Information Systems education in emerging topics, such as data science, crypto, cybersecurity
  • Information Systems education in the context of domains, such as healthcare IT, FinTech or eGovernment
  • Teaching cases (with teaching notes); see special notes regarding teaching cases below

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 2018 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

  • Tsai-hsin Chu, National Chiayi University, Taiwan
  • Geoff Dick, Northern Arizona University, USA
  • Swapna Gottipati, Singapore Management University, Singapore
  • Sven Laumer, University of Bamberg, Germany
  • Paul Leidig, Grand Valley State University, USA
  • Pekka Makkonen, University of Jyväskylä, Finland
  • Jeff Proudfoot, Bentley University, USA
  • Judy Simon, University of Memphis, USA
  • Craig Van Slyke, Northern Arizona University, USA
  • Carina de Villiers, University of Pretoria, South Africa
  • Wendy Wang, Trident University, USA

Information Systems & Society

2.5 Societal Impact of IS & the future of work

Track Chairs

Sirkka L. Jarvenpaa
University of Texas at Austin, USA
Sirkka.jarvenpaa@mccombs.utexas.edu

Jungwoo Lee
Yonsei University, Korea
jlee@yonsei.ac.kr

Ioanna Constantiou
Copenhagen Business School, Denmark
ic.digi@cbs.dk

Track Description

Digital transformation is hailed as a great opportunity with numerous benefits for the economy and the society. At the same time, it raises challenges of better or worse quality of life and work, social inclusion/exclusion, (non)discrimination, (un)employment, and civic participation or lack of it. Digital transformation facilitates the emergence of new work practices (e.g., co-working practices and collaborative practices including customers in the co-production of services), and at the same time challenges well-defined organizational boundaries and organizational control mechanisms.

Work, supported by digital technologies, is increasingly performed outside the typical physical, spatial and temporal boundaries of organization (e.g., distributed work arrangements, collaborative entrepreneurship, emergence of co-working spaces). These digital transformations change the importance of ‘presence’ and ‘visibility’ of employees and consequently affect the nature of the control of work practices (e.g., from physical supervision to self-reporting or social, peer to peer control). Furthermore, the continuous evolution and emergence of new work practices enabled by IS (e.g. remote work, digital mobility, collaborative entrepreneurship, co-working practices) raise important tensions in terms of power relations, morality and ethics, with potentially paradoxical consequences.

The IS community is uniquely positioned to address these issues of the imbrication of technological and societal changes and impacts, given its encompassing knowledge of both technical and social dimensions, along with its need-solution pairing that generativity properties of IS have facilitated.

This track welcomes innovative, rigorous and relevant theoretical, empirical and design studies on societal impacts from interactions with and influences of information systems (IS) broadly speaking and the future of work. Empirical (qualitative and quantitative) studies as well as design-oriented research and conceptual/theoretical papers on theory development will be considered. Various dimensions including social, economic, cultural or ethical can be involved in these relationships.  We encourage submissions at different levels and cross-levels of analysis. The research questions may derive from a broad spectrum of disciplines.

Topics of interests include but are not limited to

  • Societal consequences of emerging technologies
  • Theoretical perspectives on (un)intended consequences of IS
  • IS in social and political protests and issues of (in)equality and marginalized groups
  • Dark side of technology including work stress, addiction, victimization, surveillance, etc.
  • New forms, dynamics, and competences/skills of work and work practices including nomadic work practices
  • Digital transformation of the labor market: end of capitalism; surveillance capitalism
  • Future professions, the unbundling of expertise, IS-related unemployment and deskilling

 

Associate Editors

  • Joao Baptista, Warwick Business School, UK
  • Atilla Marton, Copenhagen Business School, Denmark
  • Wen Wen, University of Texas, USA
  • Ayoung Suh, City University of Hong Kong, Hong Kong
  • Anne-Laure Fayard, NYU Tandon School of Engineering, USA
  • Likoebe Maruping, Georgia State University, USA
  • Jason Chan, University of Minnesota, USA
  • Sue Newell, University of Sussex, UK
  • Rajendra Bandi, Indian Institute of Management Bangalore, India
  • Rajiv Kishore, State University of New York at Buffalo, USA

2.6 IS for a green and sustainable world

Track Chairs

Saonee Sarker
University of Virginia, USA
saonee@virginia.edu

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

Richard T. Watson
University of Georgia, USA
rwatson@terry.uga.edu

Track Description 

Global climate change resulting from the burning of fossil fuels is arguably the major problem of this century. As IS scholars, we have an opportunity, a responsibility, and the capabilities to address this critical problem.

This track welcomes theoretical, empirical, and interventionist perspectives on the ecological sustainability effects (positive or negative) of information systems (IS). These effects can be actual or potential, intended or unintended, and positive, negative, or perverse in effect. The relationship of these impacts for long-term sustainability of society is an existentially critical domain of research.

Information technology (IT) can be a contributor to climate change through the considerable carbon footprint of data centers and the manufacturing of IT equipment, but IS, with the combination of people, processes, and IT is a means for reducing carbon emissions. 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.  Consequently, the IS community is uniquely positioned to address these issues of sustainability, given its encompassing knowledge of both technical and social dimensions, along with a solution-oriented inclination that has been developed over five decades.

We invite rigorous and relevant studies employing a wide variety of methods addressing Green IS and ecological sustainability. Empirical (qualitative and quantitative) studies, conceptual papers on theory development, and interventionist research are sought. We particularly welcome work in the latter category as sustainability is a problem we must solve.

Topics of interests include, but are not limited to:

  • How does the Internet of people, data and things contribute to a sustainable society?
  • Green IS solutions for sustainability
  • IS for a greener society, government, and/or industry
  • Energy informatics
  • Successful practices for implementing organization-wide Green IS
  • Sustainable design in IS
  • Sustainable business practices and processes
  • 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.

 

Associate Editors

  • Abdullah Albizri, Northern State University, USA
  • Asli Basoglu, University of Denver, USA
  • Tanya Beaulieu, Utah State University, USA
  • Pratyush Bharati, University of Massachusetts Boston, USA
  • Adela Chen, Colorado State University, USA
  • Vanessa Cooper, RMIT University, Australia
  • Jason Dedrick, Syracuse University, USA
  • Jonas Hedman, Copenhagen Business School, Denmark
  • Johann Kranz, LMU Munich, Germany
  • Yan Li, ESSEC Asia-Pacific, Singapore
  • Bo Nørregaard Jørgensen, University of Southern Denmark, Denmark
  • Nigel Melville, University of Michigan, USA
  • Alemayehu Moll, RMIT University, Australia
  • Daniel Veit, University of Augsburg, Germany
  • Jane Webster, Queen’s University, Canada
  • Anke Weidlich, University of Freiburg, Germany

2.7 Cyber-security, privacy, and ethics of IS

Track Chairs 

Alessandro Acquisti
Carnegie Mellon University, USA
acquisti@andrew.cmu.edu 

Raghav Rao
University of Texas at San Antonio, USA
hr.rao@utsa.edu

Angela Sasse
University College London, England
a.sasse@ucl.ac.uk

Track Description

Since the first computer worm written by Robert Morris in 1989 and the first viruses in the 1990s, online attack vectors have grown in magnitude and sophistication. People, data and things are targets: credit card attacks, data breaches in both private and public organizations, and instances of cybercrime have grown through the years. Whilst there is general agreement over the need to secure systems and protect data, many current protective measures are ineffective, can reduce the productivity of individual users and businesses, and may systematically discriminate against some user groups. Clearly, it is important to have effective mechanisms for protecting data, information, and knowledge as well as applications. Yet, the methods used to ensure the safety of data and individuals have raised new questions of privacy and ethics. While the past few years have seen an increase in government and IS research interest in privacy, the interest in ethics in the context of cybersecurity is still nascent and research in that space is sparse.

The Cyber-security, Privacy and Ethics of IS track at ICIS 2018 is of particular significance because the relationship of privacy and ethics with cybersecurity has traditionally received less exposure in the IS literature, and there are no agreed answers to several fundamental questions: Should there be mandatory ethical standards that professionals in cyber-security and privacy are required to adhere to? Who should take responsibility for the security of information systems and the privacy of consumer data? How can individuals and organizations develop digital literacy to protect their tangible and intangible assets? Hence, debate and discussion on this issue are important for research in the area.

The goal of this track is to encourage papers that focus on bridging cybersecurity, privacy, and ethics research in IS, while at the same time consider cutting edge research in each of the three areas jointly or separately. 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, and so forth).

Topics of interest include, but are not limited to

  • insider threat
  • infrastructure protection
  • privacy and confidentiality
  • security and privacy for internet of things
  • ethics of cybersecurity
  • information security policy and compliance
  • data leaks
  • digital forensics
  • the dark web
  • surveillance and its impact on security, privacy and ethics in organizations
  • computer crimes and solutions
  • societal impacts of IS security and privacy
  • access control systems
  • security, privacy and ethics in the context of natural hazards/ disasters
  • malware
  • fake news
  • security of digital payment systems

Associate Editors

  • Idris Adjerid, Notre Dame
  • Solon Barocas, Cornell
  • Zinaida Benenson, U Erlangen, Germany
  • Laura Brandimarte, University of Arizona
  • Rainer Böhme, University of Innsbruck
  • Kelly Caine, Clemson University, USA
  • Ryan Calo, University of Washington
  • Rui Chen, Iowa State University
  • Kate Crawford, MSR
  • Jahyun Goo, Florida Atlantic University
  • Jeffrey Hancock, Stanford
  • Teju Herath, Brock University, Canada
  • Chris Hoofnagle, UC Berkeley
  • Dan J. Kim, University of North Texas
  • Kichan Nam, American University of Sharjah, UAE
  • Jake Lee, Louisiana Tech
  • Gabriele Lenzini, University of Luxembourg
  • Alex de Luca,Google Switzerland
  • Michelle Mazurek, U Maryland, USA
  • Insu Park, Dakota State University
  • Soren Preibusch, Google, USA
  • Delphine Reinhardt, University of Goettingen, Germany
  • F. Salam, UNC, Greensboro
  • Florian Schaub, U Michigan, USA
  • Sarah Spiekermann, Vienna University of Economics and Business, WU Vienna
  • Elizabeth Stobert, Carleton University, Canada
  • Eran Toch, Tel Aviv University
  • Rohit Valecha, University of Texas at San Antonio
  • Melanie Volkamer, Karlstadt University, Sweden
  • Jingguo Wang, University of Texas at Arlington
  • Yang Wang, University of Syracuse
  • Nan Xiao, University of Texas, Rio Grande Valley
  • Michael Zimmer, University of Wisconsin–Milwaukee

2.8 Blockchain, cryptocurrencies, and new business models

Track Chairs

Michel Avital
Copenhagen Business School
michel@avital.net

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

Matti Rossi
Aalto University
matti.rossi@aalto.fi

Track Description 

Blockchain, best known as the backbone technology behind Bitcoin, is one of the most important and intriguing technologies currently in the market. Similar to the rising of the Internet, blockchain has the potential to truly disrupt multiple industries and to make data processing more efficient, secure, transparent, and democratic. Entrepreneurs, investors, global companies, relief organizations and governments have all identified blockchain as a revolutionary technology. If the blockchain lives up to its potential, it can provide an efficient decentralized global information infrastructure where there is no one in full control, no one has absolute power, and no one can distort or lie about past or current events. So far, blockchain has been applied mostly in streamlining value chains, developing data registries, and forging cryptocurrencies, like the Bitcoin. The exponential growth in the number and prominence of blockchain enabled applications in many industries including the public sector provide ample opportunities for IS research.

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

Topics of interest include, but are not limited to

  • Blockchain and distributed ledger technology
  • Distributed and decentralized organization, coordination, and governance
  • Blockchain-enabled new business models
  • Cryptocurrencies, digital money, and blockchain-based payment systems
  • Use cases and application of blockchain in specific sectors: e.g., finance, logistics, energy markets, healthcare, and government
  • Policy challenges: standards, privacy, insurance and taxation, labor protection, environmental sustainability
  • Data management and data governance issues related to blockchain
  • Smart contracts-based business process logic
  • Novel approaches to development of blockchain applications
  • Blockchain developers communities
  • The interplay between open source and blockchain technology
  • Internet of Things applications of blockchain
  • Legal issues with smart contracts and blockchain platforms
  • Novel Fintech applications
  • Physical asset management with blockchain

Associate Editors

  • Michael Chau, University of Hong Kong, Hong Kong
  • Hailiang Chen, City University of Hong Kong, Hong Kong
  • Isam Faik, National University of Singapore, Singapore
  • Arthur Gervais, Imperial College London, United Kingdom
  • George Giaglis, Athens University, USA
  • Hanna Halaburda, Bank of Canada, Canada
  • Jonas Hedman, Copenhagen Business School, Denmark
  • Juho Lindman, Gothenburg University, Sweden
  • Omri Ross, Copenhagen University, Denmark
  • Rajiv Sabherwal, University of Arkansas, USA
  • Gerhard Schwabe, University of Zurich, Switzerland
  • Kari Smolander, Aalto University, Finland
  • Zach Steelman, University of Arkansas, USA
  • Nils Urbach, Universität Bayreuth, Germany
  • Christopher Westland, University of Illinois at Chicago, USA
  • Jiaqi Yan, Nanjing University, China
  • Rong Zheng, Hong Kong University of Science and Technology, Hong Kong

Selected papers will be offered an opportunity for a fast-track review toward a publication in Electronic Commerce Research Journal

Information Systems Technology & Development

3.9 Sharing Economy and Crowd Markets

Track Chairs

Lorraine Morgan
National University of Ireland Galway, Ireland
lorraine.morgan@nuigalway.ie

Dongwon Lee
Korea University Business School, Korea
mislee@korea.ac.kr 

Arun Sundararajan
New York University, USA
asundara@gmail.com

 

Track Description

Technological advances are reshaping the way we organize economic activity, shifting us from activities conducted within traditional institutions towards crowd markets and sharing economies. Along the way, novel forms of crowd-based capitalism emerge, the lines between personal and professional blur, social cues subsume many of the roles of market forces, additive manufacturing replaces traditional mass manufacturing, hackathons create new models of production, and what it means to have a job changes. We fund our projects through Kickstarter and Indiegogo; staff our projects through Amazon’s Mechanical Turk, TaskRabbit and Upwork; build our products from open-source designs using micro-manufacturers like Local Motors and FirstBuild; and sell, exchange and share them through communities like Etsy, Yerdle and OurGoods. The sharing economy has grown significantly in the past few years to the point where it has impacted nearly all industries. We find our accommodation using Airbnb and Couchsurfing while transporting ourselves using a range of alternatives from Didi Chuxing, Uber, Grab and Lyft to Drivy, Getaround and BlaBlaCar.

This track welcomes research that expands our knowledge of the latest trends and developments in the sharing economy and crowd markets in order to determine how digital technologies are influencing the sharing of and access to resources through peer-to-peer networks and communities and the effect of these systems on value creation in the public and private sectors of society. We are equally interested in work that provides insight into the sharing of and access to tangible resources, such as financial capital, property and physical goods, as in work investigating the sharing and access to intangible resources, such as knowledge and social capital. We encourage studies that assess today’s newer crowd-based systems as well as those rooted in precursors like Apache, Linux, Wikipedia and Innocentive, tracing the influence of these models on individuals, firms, industries, governments and societies. As peer-to-peer networks reshape the structures, boundaries and business models of traditional firms, they simultaneously enable bottom-up, emergent forms of organizing that challenge many of our basic assumptions related to value creation and firm-market boundaries. Firms in established industries struggle to understand the implications of these disruptive forces as they experiment with models of open innovation and a range of partnership and investment strategies. The need for rigorous scholarship to guide business and society is clear.

Topics of Interest include, but are not limited to

We seek theoretical and empirical papers at all levels of analysis, and we welcome research from any disciplinary, philosophical, methodological and theoretical perspective or paradigm. Topics of interest include but are not limited to the following:

  • Crowdfunding (philanthropic, reward-based, peer-to-peer lending, equity-based)
  • Crowdsourcing, open-source, open innovation and commons-based peer production systems.
  • The sharing economy, collaborative consumption and the collaborative economy
  • The economics and sociology of peer-to-peer marketplaces and platforms
  • Digital labor markets and their effects on the workforce
  • Reputation, review systems and trust in the sharing economy
  • Pricing mechanisms in peer-to-peer marketplaces
  • The strategic use of crowdfunding and crowdsourcing in the private/public sector
  • The influence of crowd-based and sharing models on innovation and entrepreneurship
  • Smart contracts and distributed collaborative organizations
  • Geo-spatial and geopolitical issues related to crowd-based capitalism
  • The influence of the sharing economy on localization and circular economies
  • Policy challenges: consumer and labor protection, insurance and taxation, competitive and antitrust considerations
  • Data privacy and data governance issues related to crowd-based models
  • The implications and risks of algorithmic fairness, ranking and choice in crowd-based models

Associate Editors

  • Byung Cho Kim, Korea University, Korea
  • Byungwan Koh, Korea University, Korea
  • Christoph Riedl, Northeastern University, USA
  • Elina Hwang, University of Washington, USA
  • Eoin Whelan, National University of Ireland Galway, Ireland
  • Gaye Kiely, University College Cork, Ireland
  • Giorgis Zervas, Boston University, USA
  • Gunwoong Lee, Sungkyunkwan University, South Korea
  • Hanna Krasnova, Potsdam University, Germany
  • Hila Lifshitz-Assaf, New York University, USA
  • Hyelim Oh, National University of Singapore, SIngapore
  • Jaehong Park, Kyung Hee University, South Korea
  • JaeHweun Jung, Temple University, USA
  • John Horton, New York University, USA
  • Keongtae Kim, Chinese University of Hong Kong, Hong Kong
  • Kevin Carillo Toulouse Business School, France
  • Klass-Jan Stol, University College Cork, Ireland
  • Koen Frenken, Utrecht University, The Netherlands
  • Lauren Rhue Goggins, Wake Forest College, USA
  • Lior Zalmanson, NYU Tandon School of Engineering, USA
  • Maha Shaikh, University of Warwick, UK
  • Marios Kokkodis, Boston College, USA
  • Matt Levy, Hawaii Pacific University, USA
  • Michael Cahalane, University of New South Wales Sydney, USA
  • Noel Carroll, National University of Ireland Galway, Ireland
  • Rob Gleasure, University College Cork, Ireland
  • Seung Hyun Kim, Yonsei University, South Korea
  • Sunghun Chung, University of Queensland, Australia
  • Sungyong Um, National University of Singapore, Singapore
  • Susan Shaheen, University of California Berkeley, USA
  • Tingting Nian, University of California, Irvine, USA
  • U. Yeliz Eseryel, University of Groningen, The Netherlands
  • Ulrich Bretschneider, University of Siegen, Germany
  • Wooje Cho, University of Seoul, South Korea
  • Xiaofeng Wang, Free University of Bozen-Bolzano
  • Young Bong Chang, Sungkyunkwan University, South Korea
  • YoungOk Kwon, Sookmyung Women’s University, South Korea

3.10 Human-Computer/Robot Interaction

Track Chairs

Dezhi Wu
Southern Utah University, USA
wu@suu.edu

Ping Zhang
Syracuse University, USA
pzhang@syr.edu

Brian Donnellan
Maynooth University, Ireland
brian.donnellan@mu.ie

 

Track Description 

Human computer interaction (HCI) is an interdisciplinary field that focuses on the design and evaluation, as well as adoption and use of information and communication technologies with an explicit goal to improve user experiences, task performance, and quality of life. To address the increasing development and use of robots in today’s environment, this track extends to include any research that focuses on human-robot interaction as well.

Submissions reflecting a breath of research traditions and approaches and addressing new and emerging issues in the HCI field are highly encouraged. Examples include but are not limited to human robot interactions, human interactions with smart technologies, novel interface designs to deal with Virtual Reality/Augmented Reality (VR/AR) technologies, ongoing HCI practices to deal with dynamic cybersecurity challenges and issues, and effective ways to understand user behaviors in big data analytics through innovative user interface (UI) designs.

The conference welcomes original contributions describing technically rigorous scientific and philosophical advances in the area of social robotics: innovative ideas and concepts, new discoveries and improvements, novel applications on the latest fundamental advances in the core technologies that form the backbone of social robotics, distinguished developmental projects, as well as seminal works in aesthetic design, ethics and philosophy, studies on social impact and influence pertaining to social robotics, and its interaction and communication with human beings and its social impact on our society.

Topics of interest include, but are not limited to

  • User experience evaluation techniques, methods and metrics
  • Innovative interface design for humans to effectively interact with robot technologies
  • Challenges on robot technology UI design
  • Aesthetic, emotional design and affective computing
  • Cognitive neuroscience for HCI
  • Innovative interface design and evaluations in cybersecurity including effective methods and practices to fill gaps between users and security UI designs, UI design strategies to secure Web and deception detection
  • Big data analytics techniques to understand human behaviors in using information technologies especially through HCI perspectives
  • Human/user-centered design in smart technology use
  • UI design in visualization to understand big data analytics
  • Psychological, social and cultural aspects of HCI
  • UI design impacts on user attitudes, behavior, performance, perception and productivity in various contexts
  • Interaction and collaboration among robots, humans, and environments
  • HCI design theories and approaches

Associate Editors

  • Greg Moody, University of Nevada, Las Vegas, USA
  • Jack Jiang, National University of Singapore, Singapore
  • Yu Tong, Zhejiang University, China
  • Chuan Hoo Tan, National University of Singapore, Singapore
  • Richard Johnson, University of Albany, USA
  • David Xu, Wichita State University, USA
  • Susanna Ho, Australian National University, Australia
  • Weiquan Wang, City University of Hong Kong, Hong Kong, China
  • Denny Yin, University of Missouri, USA
  • Yuanyuan Chen, the University of Alabama, USA
  • Heshan Sun, Clemson University, USA
  • Zilong Liu, Dongbei University of Finance and Economics, China
  • Jingjing Li, University of Virginia, USA
  • Xinru Page, Bentley University, USA
  • Xinwei Wang, the University of Auckland, New Zealand
  • Jiahui Mo, Nanyang Technological University, Singapore
  • Tingru Cui, University of Wollongong, Australia
  • Jennifer Xu, Bentley University, USA
  • Xue Yang, Nanjing University, China
  • Jeff Jenkins, Brigham Young University, USA
  • Gabe Lee, Miami University, USA
  • Yuanyue Feng, Shenzhen University, China

3.11 Design Science

Track Chairs 

Monica Chiarini Tremblay
College of William and Mary, USA
monica.tremblay@mason.wm.edu

John R Venable
Curtin University, Australia
j.venable@curtin.edu.au

Alexander Maedche
Karlsruhe Institute of Technology (KIT), Germany
alexander.maedche@kit.edu

Track Description

The rapid digital transformation of businesses and society creates new challenges and opportunities for Information Systems (IS) research with a strong focus on design.  Through the Design Science Research (DSR) paradigm, investigators seek to build knowledge and new insights by building artifacts (which can include new and innovative constructs, models, methods, processes, or systems).  DSR is well-suited to addressing issues introduced by rapid technical advances by designing artifacts that extend the boundaries of human and organizational capabilities. This track aims to encourage research that provides insights into both theoretical and applied issues introduced by technology and technology induced change.

Topics of interest include, but are not limited to

  • Global perspectives of design science
  • Theorizing in Design Science Research
  • Action design science research
  • Emerging Methods and Tools in Design Science Research
  • Embedded Systems, Ubiquitous Computing, Smart Objects and Environments
  • Evaluation of Design Science Research
  • Design Processes
  • Principles of Design
  • Modularity and Rules in Design
  • Architectures for Design
  • Design Science and Cross-Disciplinary Research
  • Design of Manufacturing, Financial & Business Information Services
  • Design for Environmental Sustainability, Energy Informatics, Green IS and Green BPM
  • Design for Social Sustainability, Quality of Life, Emancipation, and Human Benefit

Associate Editors

  • Abayomi Baiyere, University of Turku, Finland
  • Stefan Cronholm, University of Borås, Sweden
  • Shirley Gregor, National University, Australia
  • Alan Hevner, University of South Florida, USA
  • Stefan Morana, Karlsruhe Institute of Technology (KIT), Germany
  • Rasmus Ulslev Pedersen, Copenhagen Business School, Denmark
  • Mark Rothenberger, UNLV, USA
  • Debra VanderMeer, Florida International University, USA
  • Oliver Müller, IT University Copenhagen, Denmark
  • Ozgur Turetken, Ryerson University, Canada

3.12 IS Development and Project Management

Track Chairs 

Walter Fernandez
UNSW Sydney, Australia
w.fernandez@unsw.edu.au

Brian Fitzgerald
Irish Software Research Centre, Ireland
Brian.Fitzgerald@ul.ie

Fred Niederman
Saint Louis University, USA
Fred.Niederman@slu.edu

 

Track Description

Initiation, development, implementation, and maintenance of IS applications across a wide and ever expanding range of domains remains the key central responsibility of IS departments in organizations. Serving these purposes, however, remains a daunting calling for organizations, IS developers, and project managers. These stakeholders face a world of continually changing technology alternatives, broader array of legacy devices and applications to coordinate, and the pressures of changing demand from users, customers, sponsors and other stakeholders. Although prior research has significantly improved our understanding of IS development and project management, many projects continue to run over budget, to extend past schedule and to deliver less than or different products than anticipated, needed, or preferred. New software development approaches combined with diverse software platforms and application environments provide the opportunity to broaden the array of approaches to design and development available to IS project managers and to offer the prospect of approaches better differentiated to organizational settings, personnel skills, and task demands, However, the initial descriptions even of the most promising new approaches may be riddled with implicit requirements, variance according to contextual contingencies, and complexity in application. In addition to project and portfolio management, program management is emerging as a new territory in practice and in research. Therefore, the domain of development methods, approaches, techniques as well as project management methodologies remains a key area for potential contribution to practice as well as for theoretical understanding. This track welcomes papers that address a diverse range of aspects of the nature of IS development and project management. We are especially interested in papers that advance theory and practice for emerging contexts such as mobile apps and IoT systems, cybersecurity and analytics, and dispersed organizational settings where IS development and project management often take place. We welcome all types of research, including empirical, conceptual, and interpretive studies that address social and technical aspects of IS development and project management on organizational, group and individual levels.

Topics of interest include, but are not limited to

  • Agile, scrum, and hybrid approaches to IS development
  • Managing open source software development
  • Sourcing of IS projects, including outsourcing, offshoring, nearshoring, and innersourcing and crowdsourcing
  • DevOps, Continuous Deployment and Project Portfolio Management
  • Managing mobile apps development
  • Managing cybersecurity program development
  • Managing data analytics systems
  • IS development for IoT systems
  • Managing distributed and virtual IS projects and teams
  • Coordination and control in IS projects
  • Managing IS-enabled programs of organizational transformation.
  • Managing Governance, coordination, politics, and complexities in major projects and programs.
  • Managing organizational change associated with IS projects
  • Risk management and governance in IS projects
  • IS project management capabilities, competence, and maturity
  • Leadership issues and politics in IS project management
  • Privacy and security issues in IS development
  • Regulation and compliance issues in IS development
  • Socio-technical aspects of IS development and project management

 

 

Information Systems Application & Use

4.13 IT implementation, Adoption, and Use

Track Chairs 

Kalle Lyytinen
Case Western Reserve University
kalle@case.edu

Irwin Brown
University of Cape Town
irwin.brown@uct.ac.za

Deborah Bunker
University of Sydney
deborah.bunker@sydney.edu.au

 

Track Description

We are living in the time of information and technological inter-connectedness. Smartphones and embedded computing devices in homes, cars and offices; information, software, networking and communication providers such as Google, Facebook and Twitter; and product and service providers such Amazon and Uber, have changed our view and use of information as individuals, in companies and throughout society in profound ways. This has also directly contributed to consumer, institutional and economic transformation in the form of the sharing economy, and our view of the products and services that we buy, the organisations in which we work, and how we estimate our value to the societies in which we live.

Given the changing nature of the IT artifact, its ubiquity to all that we do in our personal and professional lives, and its role in our connectedness to others, our challenge is to understand behavioral, organizational, and institutional factors affecting IT adoption and/or usage as well as the implementation processes and approaches that are essential to enable the generation of value from IT in positive ways. At the same time the landscape of adopting, using and implementing IT has changed significantly over the last decade where we now see AI, robotics and spatial systems underscoring new forms of human interactivity and augmented reality. New technological trends such as cloud and virtualization, also set up challenges for IT adoption in both corporate and societal settings.

This track invites research that brings fresh theoretical, methodological, and practical insights concerning implementation, adoption and use of information technologies at individual, organizational, industry, societal, and global levels. The track welcomes papers grounded in a broad range of theories, perspectives, and methodologies. We particularly encourage papers that employ multiple levels of analysis and use multiple and mixed methodologies including combinations of qualitative and quantitative methodologies in field and lab environments as well as simulation and modeling. We especially look forward to receiving submissions that focus on longitudinal analyses of IT adoption, use and assimilation at different levels of analysis.

Topics of interest include, but are not limited to:

  • Individual, group, or organizational decisions and processes;
  • Alternative philosophical/theoretical/methodological perspectives including practice theory, economics (game theory), institutional analyses, phenomenology, discourse analysis and rhetoric;
  • Novel theories, concepts, and methodologies;
  • Theories and accounts of adoption and use phenomena and stages including assimilation/adaptation/routinsation/resistance/rejection/continuance/discontinuance/institutionalisation/normalisation;
  • Usage and post-adoption behaviors, such as infusion, exploitation, and exploration;
  • Issues addressing new technologies including cloud and analytical computing, social networking technologies, and smart devices;
  • Novel and embedded IT applications including robotics, AI systems, intelligent homes, spatial systems;
  • Research addressing specific groups and communities including children, adolescent, elderly, minorities and handicapped;
  • Research addressing non-traditional contexts such as developing countries, less educated groups, alternative cultures;
  • Collective theories and models that address organizational and inter-organizational settings (markets, platforms, inter-organizational systems);
  • Feature-level IT adoption and use;
  • Global or cross-cultural perspectives;
  • Industrial sectors (such as financial services, e-government, healthcare);
  • Communication types and channels;
  • The impact on the daily/social/professional life of users/consumers/citizens;
  • The negative consequences and/or dark side of IT;
  • Governmental, community and organization wide strategies to promote IT; and
  • The impact of consumers’ home and personal use of IT on industry transformation and corporate business models.

Associate Editors

  • To be announced later

4.14 Economics and IS

Track Chairs 

Yoo, Byungjoon
College of Business Administration at Seoul National University, South Korea
byoo@snu.ac.kr

Mingfeng Lin
Eller College of Management, University of Arizona, USA
mingfeng@email.arizona.edu

Benoit A Aubert
Victoria University of Wellington, New Zealand
Dalhousie University (from 2018), Canada
benoit.aubert@dal.ca

Track Description

Information Technology (IT) is creating and destroying markets, transforming organizations, and forcing us to rethink how we interact with other economic actors. The Economics and IS track welcomes papers looking at how IT is transforming 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
  • Crowdfunding and other Fintech phenomena
  • Economic implications of Internet of things
  • Intellectual property
  • Smart contracts
  • Inter-organizational information and knowledge sharing
  • Information goods and digital market places
  • Digital privacy and security
  • Organizational boundaries
  • Automated agents in the economic system (AI/bots, etc.)
  • Methodological challenges and opportunities
  • Industry studies

Associate Editors

  • Anjana Susarla, Michigan State University, USA
  • Animesh Animesh, McGill University, Canada
  • Kunsoo Han, McGill University, Canada
  • Ashish Agarwal, University of Texas at Austin, USA
  • Gal Oestreicher-Singer, Tel Aviv University, Israel
  • Jane Feng, City University of Hong Kong, Hong Kong
  • Jianqing Chen, University of Texas at Dallas, USA
  • Jui Ramaprasad, McGill University, Canada
  • Ke-Wei Huang, National University of Singapore, Singapore
  • Keongtae Kim, Chinese University of Hong Kong, Hong Kong
  • Khim-Yong Goh, National University of Singapore, Singapore
  • Pei-yu Chen, Arizona State University, USA
  • Prasanna Tambe, New York University, USA
  • Ray Gautam, University of Minnesota
  • Xianjun Geng, University of Texas at Dallas, USA
  • Xinxin Li, University of Connecticut, USA
  • Yan Huang, University of Michigan, USA
  • Zhiling Guo, Singapore Management University, Singapore
  • Ling Xue, Georgia State University, USA
  • De Liu, University of Minnesota, USA
  • Sunil Mithas, University of Maryland, USA
  • Wonseok Oh, KAIST, South Korea
  • Chong Wang, City University of Hong Kong, Hong Kong
  • Hyoduk Shin, University of California San Diego, USA

4.15 Innovation, Entrepreneurship, and Digital Transformation

Track Chairs 

Manju Ahuja
University of Louisville, USA
Manju.Ahuja@Louisville.edu

Arvind Malhotra
University of North Carolina at Chapel Hill, USA
malhotra@unc.edu

Jan Recker
Queensland University of Technology, Australia
j.recker@qut.edu.au

Track Description

The contemporary and ongoing diffusion of digital technologies – mobile and distributed computing, social media, digital platforms, data analytics, artificial intelligence, blockchains, cloud computing, etc. –generate new possibilities for innovation and entrepreneurship in a wide range of domains including healthcare, education, retail, and many others. Indeed, companies must innovate continuously in order to keep up with these trends.

Regardless of trigger, the joint impact of digital technology and innovation, entrepreneurship and transformation is clearly evident. Work is increasingly being virtualized, digitalized or even completely automated (Overby 2008). Several new digital forms of organizing are emerging, such as crowdsourcing, crowdfunding, or virtual organizing (Ahuja et al. 2003; Burtch et al. 2013). Innovation processes themselves are becoming less bounded, more open, less predictable and more fluid (Yoo et al. 2010; Majchrzak and Malhotra 2013). New forms of venture creation are abounding due to the influence of novel digital technology on entrepreneurship (Autio et al. 2017; von Briel et al. 2018). New business models of the sharing economy, e.g., Uber, Lyft, AirBnB, are disrupting traditional industries and creating new marketspaces.

Yet, while digital technologies have many advantages of efficiency, convenience, and delivery, they have a dark sides too (Malhotra and Van Alstyne 2014). For instance, they increase uncertainties in how work takes place as well as how innovations and new ventures come into being. This uncertainty has partially been accredited to the nature of the technologies themselves (Ekbia 2009; Yoo et al. 2010; Kallinikos et al. 2013). On the other hand, social and organizational actors also encounter and must deal with uncertainty in their own right.

Our track invites researchers to re-evaluate traditional assumptions and create new theories about digitally-enabled innovation, entrepreneurship and transformation. The IS research community is uniquely positioned to address these issues of the imbrication of technological and social forms of change because it brings to bear knowledge of both technical and social dimensions, along with its need-solution pairing that generativity properties of IS have facilitated.

These and related research challenges require the joint effort of scholars with an interest in the role of digital technology, be they from fields of information systems research, management science, organizational studies, innovation management, entrepreneurship or other disciplines. We welcome innovative, rigorous and relevant theoretical, empirical (qualitative and quantitative) as well as design-oriented research that advance existing theories as well as seed new theoretical lenses. We also invite papers that take a balanced view of digital innovation and transformation, considering the potential along with the risks and downsides.

Topics of interest include, but are not limited to

  • Mass Scale Innovation Collaboration
  • Crowdwork and Microtasking
  • Virtual Teams
  • Digital Innovation
  • New ventures creation
  • Digitizing of Innovation Processes
  • Digital Change Management
  • Artificial Intelligence
  • New Business models
  • Mobile technologies and Innovation
  • Digital entrepreneurship
  • Digital innovation management
  • Technology ventures
  • Digital transformation and organizational change

References

Ahuja, M. K., Galletta, D. F., & Carley, K. M. (2003). Individual centrality and performance in virtual R&D groups: An empirical study. Management science49(1), 21-38.

Autio, E., Nambisan, S., Thomas, L.D.W., and Wright, M. 2017. “Digital Affordances, Spatial Affordances, and the Genesis of Entrepreneurial Ecosystems”, Strategic Entrepreneurship Journal, p. forthcoming.

Burtch, G., Ghose, A., & Wattal, S. (2013). An empirical examination of the antecedents and consequences of contribution patterns in crowd-funded markets. Information Systems Research24(3), 499-519.

Ekbia, H.R. 2009. “Digital Artifacts as Quasi-Objects: Qualification, Mediation, and Materiality”, Journal of the American Society for Information Science and Technology (60:12), pp. 2554-2566.

Kallinikos, J., Aaltonen, A., and Marton, A. 2013. “The Ambivalent Ontology of Digital Artifacts”, MIS Quarterly (37:2), pp. 357-370.

Majchrzak, A., & Malhotra, A. (2013). Towards an information systems perspective and research agenda on crowdsourcing for innovation. The Journal of Strategic Information Systems22(4), 257-268.

Malhotra, A., & Van Alstyne, M. (2014). The dark side of the sharing economy… and how to lighten it. Communications of the ACM, 57(11), 24-27.

Overby, E.M. 2008. “Process Virtualization Theory and the Impact of Information Technology”, Organization Science (19:2), pp. 277-291.

von Briel, F., Davidsson, P., and Recker, J. 2018. “Digital Technologies as External Enablers of New Venture Creation in the IT Hardware Sector”, Entrepreneurship Theory and Practice, forthcoming.

Yoo, Y., Henfridsson, O., and Lyytinen, K. 2010. “The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research”, Information Systems Research (21:4), pp. 724-735.

Associate Editors

  • Frederik von Briel, Queensland University of Technology, Australia
  • Satish Nambisan, Case Western University, USA
  • Nick Berente, University of Georgia, USA
  • Elizabeth Davidson, University of Hawaii, USA
  • Lisen Selander, University of Gothenburg, Sweden
  • Sabine Brunswicker, Purdue University, USA
  • Ching Ren, University of Minnesota, USA
  • Gordon Burtch, University of Minnesota, USA
  • Sunil Wattal, Temple University, USA
  • Molly Wasko, University of Alabama at Birmingham, USA
  • Steven Johnson, University of Virginia, USA
  • Sam Ransbotham, Boston College, USA
  • Kshiti Joshi, Washington State University, USA
  • Chee-Wee Tan, Copenhagen Business School, Denmark
  • Young-Jin Yoo, Case Western University, USA
  • Kathy Chudoba, Utah State University, USA
  • Jason Thatcher, Clemson University, USA
  • Dong-Gil Ko, University of Cincinnati, USA
  • Mary-Beth Watson, Univeristy of Illinois, Chicago, USA
  • Kai Lim, City University of Hong-Kong, Hong Kong
  • Christy Cheung, Hong Kong Baptist University, Hong Kong
  • Ghiyoung Im, University of Louisville, USA
  • Sandeep Goyal, University of Louisville, USA

4.16 Social Media and Digital Collaboration

Track Chairs 

Atreyi Kankanhalli
National University of Singapore, Singapore
atreyi@comp.nus.edu.sg

Anjana Susarla
Michigan State University, USA
asusarla@msu.edu

Alexander Richter
IT University of Copenhagen, Denmark, & University of Zurich, Switzerland
aric@itu.dk

Track Description 

Social media facilitate paradigm shifts in the ways we develop relationships, communicate with each other, collaborate, procure goods and services, and exchange information. Related platforms allow anyone to virtually disseminate information to a global audience. Social media can promote the creation of social capital, result in increased interconnectedness, or facilitate social support and collective action. As such, it is opening up a new world of empowerment, in which previously concealed conditions are openly discussed and even celebrated instead of being hidden. Overall, by facilitating interpersonal communication and access to information, social media can create significant benefits across a multitude of social and individual layers.

Despite the ubiquitous nature of social media use, we still need to better understand the role and long-term consequences of this phenomenon for digital transformation on individual, organizational and societal levels.

We invite research that offers fresh theoretical perspectives and novel empirical insights on ways of organizing and collaborating enabled by social media. We also invite studies that focus on different contexts of social media use and digital collaboration, examining both positive and negative consequences. We welcome research that uses a variety of methods. We especially encourage research that reaches out beyond IS theories, is grounded in multiple reference disciplines and applies new intriguing perspectives to document and understand the transformative impact of social media and social media-related smartphone use.

Topics of interest include, but are not limited to

  • Social media and theories about digital collaboration
  • Digital leadership and virtual teams
  • Implementation strategies, community and change management
  • Enterprise knowledge sharing and collaborative work
  • Personal knowledge management and social media
  • Blurring boundaries of private and business (e.g. Consumerization, Shadow IT)
  • Social media-enabled business models
  • Organizational networking with social media and collaboration technologies
  • Use of social media for citizen and political participation
  • The development and use of social media analytics
  • Digital methods for understanding social media collaboration (e.g. design science approaches, the computational turn; big data methods)
  • Critical perspectives on social media (e.g. social and information overload, Technostress).

Associate Editors

  • Alexander Stocker, Competence Center Virtual Vehicle Graz, Austria
  • Allen Zhuoxin Li, Boston College, USA
  • Ben Choi, Nanyang Technological University, Singapore
  • Brad McKenna, University of East Anglia, UK
  • Carol Ou, Tilburg University, The Netherlands
  • Chad Ho, George Washington University, USA
  • Chen Jin, East China University of Science and Technology, China
  • Chunmian Ge, South China University of Technology, China
  • Dan Kim, University of North Texas, USA
  • Eric Lim, University of New South Wales, Australia
  • Eun Ju Jung, George Mason University, USA
  • Gene Moo Lee, University of British Columbia, Canada
  • Hailiang Chen, City University of Hong Kong, Hong Kong
  • Hanna Krasnova, University of Potsdam, Germany
  • Ian Ho, Pennsylvania State University, USA
  • Isabella Seeber , University of Innsbruck, Austria
  • Johnathan Ye, University of Auckland, New Zeland
  • Julia Klier, University of Regensburg, Germany
  • Lin Hao, Notre Dame University, USA
  • Lionel Robert, University of Michigan, USA
  • Lucy Han, University of Indiana, USA
  • N. Ravishankar, Loughborough University, UK
  • Mathias Klier, University of Ulm, Germany
  • Matthias Trier, Copenhagen Business School, Denmark
  • Michael Leyer, University of Rostock, Germany
  • Pee Loo Geok, Nanyang Technological University, Singapore
  • Phang Chee Wei, Fudan University, China
  • Prasanta Bhattacharya, Institute of High Performance Computing, Singapore
  • Rajiv Garg, University of Texas at Austin, USA
  • Ramanath Subramanyam, University of Illinois, Urbana Champaign, USA
  • Remko Helms, Open University, Australia
  • Sang Pil Han, Arizona State University, USA
  • Sarah Oeste-Reiß, University of Kassel, Germany
  • Shahper Richter, Auckland University of Technology, New Zealand
  • Shu He, University of Connecticut, USA
  • Stefan Smolnik, University of Hagen, Germany
  • Stefan Stieglitz, University of Duisburg-Essen, Germany
  • Steven Johnson, University of Virginia, USA
  • Sumeet Gupta, IIM Raipur, India
  • Weiling Ke, Clarkson University, New York
  • Wietske Van Osch, Michigan State University, USA
  • Young Jin Lee, University of Denver, USA
  • Zhijie Lin, Nanjing University, China

Information Systems Domains

5.17 IS in Healthcare

Track Chairs

Reeva Lederman
University of Melbourne, Australia
Reeva.lederman@unimelb.edu.au

Raj Sharman
University at Buffalo, SUNY-Buffalo, NY, USA
rsharman@buffalo.edu

Ana Ortiz de Guinea
Deusto Business School, Madrid, Spain
ana.ortizdeguinea@deusto.es

Track Description 

Recent advances in Healthcare Information Technology have changed the way medicine is practiced in multiple ways. It has changed the way practitioners relate to and interact with patients, empowered patients and provided opportunities for patient-centered care. To effectively harness the gains from the adoption and use of electronic medical records systems (1), workflows have changed at the provider and payer ends. Further, information technology has also enabled the delivery of care at the place and time it is needed resulting in an expansion of the physical setting of the health workplace and taking treatments into the home.

Worldwide, the rising cost of care has challenged the traditional fee-for-service payment model. As governments grapple with ways to reduce ballooning health costs, they are funding research into a wide range of online health services (2). Additionally, value-based reimbursement and bundled payment models are being developed in the US, for example, in entities such as Accountable Care Organizations where preventive/ proactive care and a concern for social determinants of health are receiving increased consideration. There is a need to develop information technology that better serves these new frontiers from a transaction and analytics perspective. Government initiatives have catalyzed the development and deployment of a wide range of technologies and platforms such as Health Information Exchanges. These exchanges have helped make the sharing of patient records easier and can lead to health savings such as by a reduction in duplicate tests (3).

Technologies are providing opportunities for proactive, rather than reactive care by providing monitoring, tracking opportunities, and greater opportunities to access real-time clinical information (4). Commercial operators are also joining the online health trend with a worrying number of untested products available to health consumers (5). These untested products potentially place patient safety at risk.

Health technologies used in both the health care setting and the home raise multiple issues about privacy, accountability, efficacy, and accessibility. The impact of technology on health systems can be counter-intuitive: they provide opportunities to both increase and decrease social inequality, to both reduce and raise costs, to protect and endanger the security of patient information. Big data analytics has been raised as a way to both improve outcomes and reduce cost but is also not yet proven (6). Consequently, researchers are exploring the theories that surround the adoption and use of health technology strategies (7) as well as considering what factors, beyond technologies can solve current health problems. In inviting papers, we ask, what will the complete solution for healthcare look like? This track will take an important role in inviting papers which examine these confounding issues in Health IS.

Topics of interest include, but are not limited to

  • Healthcare analytics
  • Behavior changing digital interventions and persuasive technology
  • Impacts of technology on payer and provider practices
  • Design and implementation of information technologies
  • Telemedicine and telehealth and their impacts on health and economic outputs
  • Adoption, diffusion, and assimilation of health information systems
  • Privacy and security of health information
  • Informatics applied to public health
  • Wearable health devices and their health outcomes
  • Technology-enabled patient care management
  • Sustainability of Health Information Exchanges
  • Technologies supporting Accountable Care Organizations and Patient-Centered Medical Home
  • Virtual Communities and their impact on patient empowerment and patient safety.
  • User-Generated Content and its impact on healthcare practices and providers
  • Provisioning of patient care during disasters and emergencies
  • Health Information technologies for the physically and cognitively challenged
  • Impact of investments in Information Technology in Healthcare

References

  • Han, W., Sharman, R., Heider, A., Maloney, N., Yang, M., Singh, R., “Impact of Electronic Diabetes Registry ‘Meaningful Use’ on Quality of care and Hospital Utilization,” Journal of the American Medical Informatics Association (JAMIA), September
  • Lederman R, Wadley G, Gleeson J, Bendall S, Álvarez-Jiménez M. Moderated online social therapy: designing and evaluating technology for mental health. ACM Transactions on Computer-Human Interaction (TOCHI) 2014;21:1–32.
  • Yaraghi, N., Ye, D., Sharman, R., Gopal, R., Ramesh, R., “Health Information Exchange as a Multi-sided Platform: Adoption, Usage and Practice Involvement in Service Co-Production”, Information Systems Research (ISR), November 18, 2014.
  • Wager, K, Lee, F and Glaser, J, Health Care Information Systems: A Practical Approach for Health Care Management, 2013, Jossey-Bass Inc., PublishersSan Francisco, CA, USA
  • Baldwin, J, Singh, H, Sittig, D, Giardina, T. Patient portals and health apps: Pitfalls, promises, and what one might learn from the other, Healthcare, Vol 5, Issue 3, Sept 2017, pgs 81-85.
  • Bakker, LJ, Aarts,J, Redekop, WK, Is Big Data in Healthcare about Big Hope or Big Hype? Early Health Technology Assessment of Big Data Analytics in Healthcare, Value in Health, 2016-11-01, Volume 19, Issue 7, Pages A705-A705
  • Bernardi, R., P. Constantinides, and J. Nandhakumar, Challenging dominant frames in policies for IS innovation in healthcare through rhetorical strategies. Journal of the Association for Information Systems, 2016.

Associate Editors

  • Mohamed Abdelhamid, California State University, Long Beach, USA
  • Ofir Ben Assuli, Ono Academic College, Tel Aviv, Israel
  • Gaurav Bansal, University of Wisconsin, Green Bay, USA
  • Indranil Bardhan, The University of Texas at Dallas, USA
  • Brad Greenwood, University of Minnesota, USA
  • Ashish Gupta, Auburn University, USA
  • Wencui Han, University of Illinois at Urbana-Champaign, USA
  • Haijing Hao, University of Massachusetts, Boston, USA
  • Zia Hydari, University of Pittsburgh, USA
  • Jiban Khuntia, University of Colorado, Denver, USA
  • Rajiv Kishore, University at Buffalo, SUNY-Buffalo, USA
  • Spyros Kitsiou, The University of Illinois at Chicago, USA
  • Rajiv Kohli, The College of William and Mary, USA
  • Miria Koshy, University of Warwick, Coventry, UK
  • Tobias Kowatsch, Centre for Digital Health Interventions ETH Zurich, Switzerland
  • Josianne Marsan, Université Laval, Quebec City, Canada
  • Abhay Nath Mishra, Georgia State University, USA
  • Nirup Menon, George Mason University, USA
  • Rema Padman, Carnegie Mellon University, USA
  • Edin Smailhodzic, Rijksuniversiteit Groningen, The Netherlands
  • Sanjukta-Das Smith, University at Buffalo, SUNY-Buffalo, USA
  • Ali Sunyev, Universitaet Kassel, Germany
  • Sharon Tan, National University of Singapore, Singapore
  • Monideepa Tarafdar, Lancaster University, UK
  • Marie-Claude Trudel, HEC Montréal, Canada
  • Jenny Waycott, University of Melbourne, Australia

5.18 E-Business and E-Government

Track Chairs 

Soon Ae Chun
City University of New York, USA
soon.chun@csi.cuny.edu

Marijn Jassen
Delft University of Technology, The Netherlands
m.f.w.h.a.janssen@tudelft.nl

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

Track Description 

Over the last few decades, e-business and e-government have become a key part of the global economy. As digital technology continues to develop, e-business and e-government are transforming almost every aspect of business and social activities, from competitive dynamics, to public policies design and implementation. E-business is not limited to facilitating buyer and seller transactions; rather, it is changing the boundary of a firm as we know it. Mobile devices are changing many aspects of marketing, advertising, operations, product management and so on by introducing new business models for companies. With the emergence of big data that includes various forms of user generated data on social media platforms, the global penetration of mobile services, and the Internet of Things (IoT) that not only connects people but machines as well, opportunities to research the innovative aspects of e-business continue to expand. We are seeing a parallel change in organizations in the public sector including all levels of governments. Digital technology is rapidly reshaping how public sector organisations produce and provide services to its citizens, how citizens participate in the shaping the public policies and how the political debate is organised and structured.

Papers in this track should be methodologically rigorous and innovative in terms of theoretical elaboration and contribution. We also encourage the use of novel research methods that take advantage of innovative methodologies to exploit digital data analytics.

 

Topics of interest include, but are not limited to

  • Auctions and interactive pricing
  • Data analytics in e-business
  • Digital entrepreneurship in e-business and e-commerce
  • Digital infrastructure in e-business, e-commerce and e-government
  • E-business, and e-government in emerging economies
  • E-government policies and strategies
  • E-government, institutional and social transformations
  • FinTech (Financial Technology) in e-business
  • ICT enable co-production in the public and private sector
  • IOT and e-business
  • IT strategy and risks in managing e-business and e-government
  • Mobile commerce, mobile marketing and location-based services
  • New business models in e-business, mobile and service innovation
  • Public sector ICT enable reforms (e-justice, e-procurement; e-petitioning, etc.)
  • Smart-cities and smart-government
  • Social media and social commerce
  • Social, economic, psychological, cultural, political, and legal analysis of e- business and e-government
  • Sustainable e-business practices and strategies

 

Associate Editors

  • Hao Lin, University of Notre Dame, USA
  • Keongtae Kim, City University of Hong Kong
  • Jan Marco Leimeister, University of St. Gallen, Switzerland
  • Yingda Lu, Rensselaer Polytechnic Institute, USA
  • Amit Mehra, The University of Texas at Dallas, USA
  • Min-Seok Pang, Temple University, USA
  • Pallab Sanyal, George Mason University, USA
  • Cristina Alaimo, London School of Economics, UK
  • Frank Bannister, Trinity College, Ireland
  • Francesco Contini, Istituto di Ricerche sui Sistemi Giudiziari, Italy
  • Ramon Gil-Garcia, University at Albany, USA
  • Tomasz Janowski, Gdańsk University of Technology, Poland
  • Marijn Janssen, Delft University of Technology, The Netherlands
  • Rony Medaglia, Copenhagen Business School, Denmark
  • Gianluca Misurarca, European Commission Research Centre, Spain
  • Panos Panagiotopoulos, Queen MRY University, UK
  • Theresa A. Pardo, University at Albany, USA
  • Peter Parycek, Danube-University Krems, Austria
  • Elin Whilborg, Linkoping University, Sweden
  • Huifang Li, Dalian University of Technology, China
  • Derrick Neufeld, University of Western Ontario, Canada
  • Xin Xu, Hong Kong Polytechnic University, Hong Kong
  • Peijian Song, Nanjing University, China
  • Wen-Lung Shiau, Ming Chuan University, Taiwan
  • Ping Wang, University of Maryland, USA
  • Elsa Estevez, United Nations University
  • João Porto de Albuquerque, University of Warwick, UK
  • Zhongyun (Phil) Zhou, Tongji University, China
  • Yongqiang Sun, Wuhan University, China
  • Joy He, Hong Kong Polytechnic University, Hong Kong
  • Yi Cheng, Tsinghua University, China

 

5.19 Governance, Strategy, and Value of IS

Track Chairs

Bob Galliers               
Bentley University, USA and Loughborough University, UK
rgalliers@bentley.edu

Janis Gogan               
Bentley University, USA
jgogan@bentley.edu

Steven De Haes
University of Antwerp, Belgium
Steven.dehaes@uantwerpen.be

Track Description 

To be innovative and competitive in today’s global digital economy, organizations have little choice but to invest in information and communication technologies (IT). However, without the proper organizational capabilities and skills to put these digital assets to effective use, organizations are at significant risk of wasting their investments and missing key opportunities for growth and competitiveness.

Against this context, the “Governance, Strategy and Value of IS” research track focuses on the design and implementation of IT governance capabilities enabling on-going alignment and fusion between business and IT strategies and ultimately the achievement of value out of IT enabled transformation programs. (De Haes and Van Grembergen, 2009; 2015; Karpovsky & Galliers, 2015; Wu et al, 2015).

In this track we are looking to receive papers that report innovative research studies, based on a variety of qualitative and quantitative methods, that provide new insights into the theories, models and practices related to governance, strategy and value of IT. Considerable research has been undertaken over the years with regard, for example, to questions of sourcing IT services (e.g., Lacity et al., 2009; Lacity & Willcocks, 2017) and of the capabilities necessary to harness IT to good effect (Peppard & Ward, 2004; Daniel et al., 2014). In addition, we are interested in reflections on the actual practices of IS strategizing (e.g., Marabelli & Galliers, 2017) and on new forms of strategizing facilitated by IT (e.g., Baptista et al., 2017).

References

  • Baptista, J., Wilson, A., Galliers, R.D. & Bynghall, S. (2017). Social media and the emergence of reflexiveness as a new capability for open strategy, Long Range Planning, 50(3), 322-336.
  • Daniel,M., Ward, J.M., & Franken, A. (2014). A dynamic capabilities perspective of IS project portfolio management. The Journal of Strategic Information Systems, 23(2), 95-111.
  • De Haes, S., & Van Grembergen, W. (2015). Enterprise governance of information technology: Achieving alignment and value, second edition. Springer.
  • De Haes, S., & Van Grembergen, W. (2009). An Exploratory Study into IT Governance Implementations and its Impact on Business/IT Alignment. Information Systems Management, 26(2), 123–137
  • Karpovsky, A. & Galliers, R.D. (2015). Aligning in Practice: From current cases to a new agenda, Journal of Information Technology, 30(2), 136-160.
  • M.,& Willcocks, L. (2017), Conflict Resolution in Business Services Outsourcing Relationships,The Journal of Strategic Information Systems, 26(2), 80–100.
  • Lacity, M., Khan, S., and Willcocks, L. (2009), A Review of the IT Outsourcing Literature: Insights for Practice,” The Journal of Strategic Information Systems, 18, 130-146.
  • Marabelli, M. & Galliers, R.D. (2017). A Reflection on Information Systems Strategizing: The Role of Power and Everyday Practices, Information Systems Journal, 27(3), 347-366.
  • Peppard, J., & Ward, J. (2004). Beyond strategic information systems: Towards an IS capability. The Journal of Strategic Information Systems, 13(2), 167-194.
  • Wu, S. P.-J., Straub, D. W., & Liang, T.-P. (2015). How information technology governance mechanisms and strategic alignment influence organizational performance: insights from a matched survey of business and IT managers. MIS Quarterly, 39(2).

Topics of interest include, but are not limited to

  • Governance & Management of digital assets / IT (IT governance)
  • Emerging IS/IT capabilities
  • Strategy & Alignment in the digital enterprise (IT strategy and alignment)
  • Value & Performance Management of digital assets / IT (IT value and performance management)
  • IS Strategy Practices
  • The Sourcing of IS/IT Services
  • Opening organizational strategy with social media technologies

We are interested in applications of these topics in for-profit, not-for-profit and governmental entities.

Associate Editors

  • To be announced…

5.20 Service Science

Track Chairs

Barbara Pernici
Politecnico di Milano
barbara.pernici@polimi.it

Tuure Tuunanen
University of Jyväskylä
tuure@tuunanen.fi

J Leon Zhao
City University of Hong Kong
jlzhao@cityu.edu.hk

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. Service Science fosters a multidisciplinary approach to the study of service systems which are 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, to provide unique contributions to academic and industry practice. The this paradigm provides the basis for integrating information from many different sources, including not only traditional IS, but also physical and human sensors, information extracted from different heterogeneous sources, machines and devices, and so on. 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. Such a challenging task opens many new problems due its complexity and size. The track aim to present original research on approaches, and in particular focusing on the development of models and techniques, design methodologies, and empirical evaluation for such IS.

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
  • 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
  • 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

  • Angela Yu, Renmin University of China, Beijing, China
  • Christoph Breidbach, University of Melbourne, Australia
  • Christoph Peters, University of St. Gallen, Switzerland
  • Chuang Wang, South China University of Technology, China
  • Cinzia Cappiello, Politecnico di Milano, Italy
  • Danping Wang, Soochow University, Suzhou, China
  • Eric Dubois, LIST, Luxemburg
  • Esko Penttinen, Aalto University, Finland
  • Erwin Fielt, Queensland University of Technology, Australia
  • Fons Wijnhoven, University of Twente, Netherlands
  • Gang Wang, Virginia Tech, USA
  • Hanne Westh Nicolajsen, IT University of Copenhagen, Denmark
  • Harry Jiannan Wang, University of Delaware, USA
  • Jens Poeppelbuss, University of Bremen, Germany
  • Lysanne Lessard, University of Ottawa, Canada
  • Marcello La Rosa, University of Melbourne, Australia
  • Markus Salo, University of Jyväskylä, Finland
  • Matteo Palmonari, University Milano Bicocca
  • Michel Leonard, University of Geneva, Switzerland
  • Tilo Böhmann, University of Hamburg, Germany
  • Wei Xu, Renmin University of China, Beijing, China
  • Winfried Lamersdorf, University of Hamburg, Germany
  • Xunhua Guo, Tsinghua University, China

Information Systems Foundations

6.21 IS Research Methods, Theorizing, and Philosophy

Track Chairs

Frantz Rowe
Université de Nantes, France
Frantz.Rowe@univ-nantes.fr

Dirk Hovorka
University of Sydney, Australia
dirk.hovorka@sydney.edu.au

Allen S. Lee
Virginia Commonwealth University, USA
allenslee@alum.mit.edu

Track Description

Philosophy is reflection that deliberately and rigorously examines what has been accepted as given.

Philosophy requires a researcher of information systems to pause his or her research efforts in order to question, for instance, what constitutes “research,” what constitutes “theory,” what constitutes “information,” and what constitutes “systems,” and then to open oneself up to whatever difference the questioning will make when one resumes research on information systems theory. Philosophy requires the information-systems research community to eventually research itself and its own intellectual and historical context, where the community’s ineffectiveness in doing this would foreshadow the community’s ineffectiveness in researching information systems.

Such philosophy sets the stage for the specific ways – the research methods – that we follow in order to build and test theory when we do our research. Research methods can be revealed as inadequate and even incorrect when illuminated under the light of philosophy (e.g. by epistemology), just as philosophy can reveal what research methods may, should, and might better do. As such, methodological research – research on research methods – best entails a philosophical perspective.

Theorizing refers to the process by which researchers build and test knowledge, using evidence and any existing theory, to explain empirical phenomena according to the ways of reasoning recognized in their discipline. Reflection based on philosophy and research methods can guide theorizing and show it to be in need of correction or improvement.

The Research Methods, Theorizing, and Philosophy Track prefers submissions that regard research methods, theorizing, and philosophy in the ways just characterized. Purely empirical papers, not driven by reflection on research methods, theorizing, or philosophy, are not suitable for this track, but empirical material is always welcome as a part of a paper for illustrating the paper’s larger examinations in the light of research methods, theorizing, and philosophy.

Topics of interest include but are not limited to:

  • How and to what extent do philosophical foundations (e.g. metaphysics, epistemology, axiology and ethics, and aesthetics) and methods from other social sciences inform methodological practices and theorizing within IS research?
  • How may IS research serve as a reference discipline for theorizing and research methods?
  • What are some plausible evaluative criteria for determining the contribution of IS research and how may they be justified?
  • How can we improve our representations of the social and of the socio-technical dimensions in our theorizing?
  • How can philosophy (e.g. of action or of knowledge) inform the relevance of IS research?
  • What is the structure of theories in IS research?
  • How can native IS theory be distinguished from other social-science theories?
  • How should we go about developing native IS theories?
  • How can we improve the process of theorizing?
  • What are the philosophical and methodological impacts of emerging paradigms in IS research (e.g., critical realism, design science, engaged scholarship and pluralism)?
  • What are the branches of philosophy or who are the major philosophers that IS could benefit from and have been relatively neglected or ignored so far?
  • What are predominant methodological trends in IS research?
  • What should have primacy, theory or methods?
  • What is theory in IS research?
  • What is data/evidence in IS research?

Associate Editors

  • Viktor Arvidsson
  • Chrisanthi Avgerou
  • Sebastian Boell
  • Mike Chiasson
  • Wynne Chin
  • Emma Coleman
  • Nicolas Evangelopoulos
  • Ulrich Frank
  • Claire Gauzente
  • Ella Hafermaltz
  • Nik Hassan
  • Jorg Henseler
  • Carol Hsu
  • Geoffrey Hubona
  • David Keps
  • Kai Larsen
  • Lynne Markus
  • John Mingers
  • Benjamin Mueller
  • Ojelanki Ngwenyama
  • Suzanne Rivard
  • Rens Scheepers
  • Daniel Schlagwein

6.22 Human Behavior and IS

Track Chairs

Cathy Urquhart
Manchester Metropolitan University, UK
c.urquhart@mmu.ac.uk

Andrew Burton-Jones
The University of Queensland, Australia
abj@business.uq.edu.au

Paul Benjamin Lowry
The University of Hong Kong
paul.lowry.phd@gmail.com

Track Description

The interplay between human behavior and information systems is an age-old topic in our field, but with the ever-increasing infusion of technology into our work and lives, the topic has never been more important. While technologies can shape and influence human behaviors, human behaviors can also in turn inform the use and design of technologies. This track focuses on the interplay of human behaviors and information systems at the individual, group, organizational, and societal levels as well as the intersection across levels. While other tracks (e.g., HCI) have traditionally focused on more micro-level interactions between humans and technology, this track is interested in the broader interactions that occur in organizational and social contexts. We welcome submissions that rigorously test, extend, or challenge current beliefs, assumptions, and theories. Qualitative, quantitative, or mixed-method studies are welcome, as are conceptual articles that offer theoretical insights and directions for future research. We are particularly interested in research that seeks to explore less charted territory.

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, and institutional forces)
  • Different patterns of human interactions and the technologies used to support the interactions
  • Cross-cultural analysis of human behaviors and information systems
  • The role of human behavior in shaping the design of technology
  • Mobile technology, and its opportunities and challenges for users at all levels of analysis (individual, group, organization, society)
  • The impact of augmented, mixed, and virtual reality technologies on human behaviors and interactions and new technologies such as wearable devices and sensors
  • Gamification exposure and its influence on human behaviors

Associate Editors

  • Ofer Arazy, University of Haifa, Israel
  • Jordan Barlow, California State University Fullerton, USA
  • Suranjan Chakraborty, East Carolina University, USA
  • Suti Chaterjee, University of Nevada Las Vegas, USA
  • Christy M.K. Cheung, Hong Kong Baptist University, Hong Kong
  • Brian Dunn, Utah State University, USA
  • Uri Gal, University of New South Wales, Australia
  • James Gaskin, Brigham Young University, USA
  • JM Goh, Simon Fraser University, Canada
  • Milena Head, McMaster University, Canada
  • Tabitha James, Virginia Tech University, USA
  • Matthew Jensen, University of Oklahoma, USA
  • Damien Joseph, NTU, Singapore
  • Inchan Kim, University of New Hampshire, USA
  • Seth Li, Clemson University, USA
  • Xixi Li, Tsinghua University, China
  • Massimo Magni, Bocconi Univesity, Italy
  • “Lina” Na Li, Baker College, USA
  • Rachida Parks, Quinnipiac University, USA
  • Greta Polites, Kent State University, USA
  • Narayan Ramasubbu, University of Pittsburgh, USA
  • Kamel Rouibah, Kuwait University, Kuwait
  • Christoph Schneider, City University of Hong Kong, Hong Kong
  • Christina Serrano, Colorado State University, USA
  • Matthias Soellner, St Gallen University, Switzerland
  • Mari-Klara Stein, Copenhagen Business School, Denmark
  • Barney Tan, University of Sydney, Australia
  • Horst Treiblmaier, Modul University Vienna, Austria
  • Sanja Tumbas, IESE, Spain
  • Nathan W. Twyman, Missouri University of Science and Technology, USA
  • Ofir Turel, California State University Fullerton, USA
  • Jun Zhang, University of Science and Technology of China, China

6.23 Data Science and predictive analytics

Track Chairs 

Ahmed Abbasi
University of Virginia, USA
abbasi@comm.virginia.edu 

Ravi Vatrapu
Copenhagen Business School, Denmark
vatrapu@cbs.dk

Daniel Zeng
University of Arizona, USA & Chinese Academy of Sciences
zeng@email.arizona.edu

Track Description

Data Science is the process of extracting knowledge and insights from various forms of structured and unstructured data. Predictive analytics, which is concerned with accurately determining some future or unknown outcome, has emerged as a major area of emphasis within data science. Predictive analytics entails integrating and applying computational approaches from statistics, machine learning, data mining, text mining, and network science, among others, to predict in a wide range of application contexts. Along with explosive generation and abundant availability of data in recent years, the set of application settings that can benefit from data-driven prediction is quickly expanding. End users of prediction methods have become more demanding as to the scope and performance of predictive models. Further complicating the situation is that new types of potentially useful data, and the underlying nature of many application settings, defy the statistical assumptions underpinning many existing methods.

This track is dedicated to research developing novel data science and predictive analytics theories, algorithms, and methods to solve challenging and practical problems that benefit business and society at large. The track invites innovative data science and predictive analytics research contributions that address business and societal challenges from the lens of statistical learning, data mining, machine learning, and artificial intelligence. The track invites original research addressing challenges ranging from marketing and finance problems to problems in health care, energy, fraud detection, social network services, talent analytics, privacy, credibility, etc. Contributions on novel methods may be motivated by insightful observations on the shortcomings of state-of-the art data science/predictive methods in addressing practical challenges, or may propose entirely novel data science problems. Research contributions on theoretical and methodological foundations of data science, such as optimization for machine learning and new algorithms for data mining, are also welcome.

Topics of interest include, but are not limited to

  • Novel predictive modeling approaches
  • Novel performance measures of data science methods that account for important practical implications
  • Data science methods for health care: chronic disease management, preventative care, etc.
  • Data science for industrial applications: energy, education, finance, supply chain, e-commerce, etc.
  • Data-driven predictive analytics methods for effective risk management
  • Data-driven methods for cyber security, anomaly detection
  • Novel methods for tackling data quality issues
  • Novel methods for visual analytics of big data sets
  • Novel methods for social media analytics and social network analysis
  • Novel algorithm development in data mining, machine learning, and deep learning
  • Novel predictive methods in big data analytics
  • Novel methods for text analytics and natural language processing
  • Novel applications of crowd-sourcing for enhanced predictive analytics

Associate Editors

  • Khurshid Ahmad, Trinity College Dublin, Ireland
  • Leman Akoglu, Carnegie Mellon University, USA
  • Kaushik Dutta, University of South Florida, USA
  • Yong Ge, University of Arizona, USA
  • Tomer Geva, Tel Aviv University, Israel
  • Raymond Lau, City University of Hong Kong
  • Jingjing Li, University of Virginia, USA
  • Lionel Li, York University, UK
  • Xin Li, City University of Hong Kong
  • Hongyan Liu, Tsinghua University, China
  • Shawn Mankad, Cornell University, USA
  • Edward McFowland III, University of Minnesota, USA
  • Raghava Rao Mukkamala, Copenhagen Business School, Denmark
  • Daniel Neill, Carnegie Mellon University, USA
  • Nachi Sahoo, Boston University, USA
  • Galit Shmueli, National Tsing Hua University, China
  • Atish Sinha, University of Wisconsin-Milwaukee, USA
  • Jaideep Vaidya, Rutgers University, USA
  • Alan Wang, Virginia Tech, USA
  • Isabell Welpe, Technical University of Munich, Germany
  • Katrine Weller, GESIS Leibniz Institute for the Social Sciences, Germany
  • Catherine Yang, University of California, Davis, USA
  • Huimin Zhao, University of Wisconsin-Milwaukee, USA
  • Yilu Zhou, Fordham University, USA

6.24 Business, data, and process modeling

Track Chairs

Susanne Leist
University of Regensburg, Germany
Susanne.leist@ur.de

 

Vijay Khatri
Indiana University, USA
vkhatri@indiana.edu

Jeffrey Parsons
Memorial University of Newfoundland, Canada
jeffreyp@mun.ca

Track Description

Business, data and process modeling has significantly matured and increased its relevance over time, both as a scientific field and an industry practice. It comprises manifold approaches, techniques, methods and tools for the conceptualization, design, implementation and analysis of organizations, data and processes.

In the era of digitalization – with information technology fundamentally transforming current business practices – modeling business, data and processes is increasingly important. For example, mobile technology and social media enable enterprises to digitally perform parts of their value creation – such as product development, sales or services – together with other market actors (customers, suppliers, creative minds and innovation providers), independent of time and location. New business models of network organizations and new processes for product development, sales, market analysis or services are needed to meet the expectations of hyper-connected customers who exactly know where products and services are offered at optimum conditions. Furthermore, all three parts (business, data and processes) are highly interwoven, e.g., capitalizing on big data opportunities requires an adequate business model, and straightforward processes.

In that context, enterprise collaboration increasingly is important to facilitate networking between employees, including agile and informal collaboration to create value. However, the integration of new technologies with business processes usually requires a redesign of organizations, processes, and data, thereby increasing the importance of modeling. New concepts such as open innovation use external knowledge (e.g., of the customer) to systematically enlarge the potential of innovations, thus changing the innovation process and generating new sources of data originating outside traditional organizational boundaries. Additionally, the modeling of processes, data and the business is highly relevant as firms modernize their IT-landscape, taking a step towards cloud and software-defined infrastructures, and adapt to current trends such as Bring your own Device (BYOD).

In addition to manuscripts that address traditional topics in business, data and process modeling, we explicitly encourage submissions that report on interdisciplinary aspects and on research in emerging areas.

Topics of interest include, but are not limited to

  • Modeling methods for business, data or process modeling
  • Metamodeling
  • Design of modeling platforms and tools
  • Modeling for business process improvement or process redesign efforts
  • Quality of process, data and business models
  • Modeling for enterprise & information architecture management
  • Modeling for social network analysis
  • Business models of network organization
  • Process models for open innovation
  • Data models for open data and data sharing
  • Modeling of processes, data and the business for cloud and software-defined infrastructures and new trends (e.g., BYOD)
  • Business, data and process modeling in inter-organizational collaborations
  • Reference modeling, reference models, model standardization
  • Ontological and cognitive foundations of conceptual modeling

Associate Editors

  • Rainer Alt, University of Leipzig, Germany
  • Palash Bera, Saint Louis University, USA
  • Daniel Beverungen, University of Paderborn, Germany
  • Peter Fettke, German Research Center for Artificial Intelligence, Germany
  • Kathrin Figl, Vienna University of Economics and Business, Austria
  • Hans-Georg Fill, University of Vienna, Austria
  • Giancarlo Guizzardi, Free University of Bozel-Bolzano, Italy
  • Bernd Heinrich, University of Regensburg, Germany
  • Florian Johannsen, University of Bremen, Germany
  • Agnes Koschmider, Karlsruhe Institut of Technology, Germany
  • Roman Lukyanenko, University of Saskatchewan, Canada
  • Geert Poels, Ghent University, Belgium
  • Binny Samuel, University of Cincinnati, USA
  • Pnina Soffer, University of Haifa, Israel
  • Irene Vanderfeesten, Eindhoven University of Technology, The Netherlands
  • Padmal Vitharana, Syracuse University, USA
  • Carson Woo, University of British Columbia, Canada

Panel Discussions

7.25 Panel Discussions

Track Chairs


Sabine Brunswicker
Purdue University, USA
sbrunswi@purdue.edu

Prabhudev Konana
University of Texas, Austin, USA
prabhudev.konana@mccombs.utexas.edu


Karlheinz Kautz
RMIT University, Melbourne, Australia
karlheinz.kautz@rmit.edu.au

Track Description

The purpose of panels in ICIS is to identify and explore emerging phenomena related to the theme of Bridging the Internet, People, and Things and to offer an opportunity to present further broader topics and ideas that are ground-breaking and perhaps controversial to the IS community.  Panels are expected to engage the audience and included panelists in a discussion that stimulates interaction and enhances the learning experience with a goal of moving the topic forward to greater understanding and application. Panel topics can vary, but generally they need to pertain to emerging and/or controversial research questions, new challenges, or changes to the status quo of the discipline. We encourage proposals that challenge the traditional panel format and include innovative and inspirational elements forms of discussion and interaction including role play, workshops, city hall meetings and the like.  Details of the structure of the 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 goals 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 novel, leading edge and invites debate and discussion.
  • Panel Format: Panel focuses on discussion and not the presentation of research results; format is innovative and engages 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 2018 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

  • To be determined…