Track Descriptions

Track Chairs

Michael Chau
The University of Hong Kong

Jingjing Li
The University of Virginia

Track Description

The advances of machine learning techniques have led to the rapid emergence of artificial intelligence (AI) and business analytics (BA) applications in various domains. AI and BA applications involve leveraging algorithms, methods, systems, and applications to interpret and learn from large, heterogeneous data to achieve specific goals, such as improving business and management operations. It is important for IS researchers to study the development, implementation, and management of AI and BA applications and understand how AI and BA create value for organizations and societies. The new and exciting research topics would lead to a significant extension of our current theories, methodologies and empirical insights related to the phenomenon. We welcome submissions from a breadth of research paradigms, including behavioral, economics, design science, and data science.

Topics of interest include but not limited to:

  • Novel AI, BA, machine learning, and deep learning methods
  • Data and text mining
  • Natural language processing
  • Speech recognition
  • AI in robotics
  • Human-robot interaction
  • Design and implementation of AI and BA applications, such as Fintech, e-commerce, healthcare, operations, and cybersecurity
  • Development of AI and BA architectures, infrastructures and capabilities
  • Ethics and privacy concerns in AI and BA
  • Machine learning fairness and algorithmic bias
  • Explainable AI
  • Social, behavioral, and economic implications of AI and BA
  • Organizational structure and management in the age of AI and BA
  • Success factors, best practices, and case studies in AI and BA
Associate Editors
  • Zhuolan Bao, The Chinese University of Hong Kong, Shenzhen
  • Konstantin Bauman, Temple University
  • Yidong Chai, Hefei University of Technology
  • Carlos Fernandez-Loria, Hong Kong University of Science and Technology
  • Wenwen Li, Fudan University
  • Siyuan Liu, Pennsylvania State University
  • Xiao Liu, Arizona State University
  • Morteza Namvar, The University of Queensland
  • Sagar Samtani, Indiana University
  • Hyunji So, McGill University
  • Van-Hau Trieu, Deakin University
  • Qingchen Wang, The University of Hong Kong
  • Yingfei Wang, University of Washington
  • Kaiquan Xu, Nanjing University
  • Xiaoying Xu, South China University of Technology
  • Jingyuan Yang, George Mason University
  • Wenli Zhang, Iowa State University
  • Xiong Zhang, Beijing Jiaotong University

Track Chairs

Marten Risius
University of Queensland

Nirmalee I. Raddatz
University of Memphis

Horst Treiblmaier
Modul University Vienna

Track Description

Over the past decade, we witnessed a significant ascent of the fintech market. Reports estimate that global venture capital investments skyrocketed from USD $1.8 to $30.8 billion between 2011 and 2018 (Galvin et al., 2018). Simultaneously, blockchain has emerged as a major contentious technology with arguably substantial socio-economic transformational power (Pedersen et al., 2019). Despite its widespread applicability (e.g., supply chain, auditory purposes), the impact of blockchain has been most pervasive in the financial market (Simos & Tan, 2020).

This track invites articles that provide relevant insights for managerial, strategical or regulatory decision making in fintech and/or blockchain technologies. We are particularly interested in but not limited to the intersection of fintech and blockchain technologies. The track is open to all methodological approaches. We invite both full research and research-in-progress papers.

Potential topics of interest include, but are not limited to:

  • Advancing fintech technologies: robo-advisory, social trading, social credit scoring, algorithmic trading, mobile payment technologies and business impacts
  • Issues and opportunities of a token economy: regulatory frameworks, new regulatory challenges with fintech, (de)centralization, commoditization of mining hardware, governance mechanisms, tokenized invoices
  • Macroeconomic implications of fintech: disintermediation of established players, the impact of cryptocurrencies, structural changes in the economy
  • Leveraging new types of data in the financial market: ethical concerns, data-driven business models, fraud detection, practical feasibility, smart trading strategies such as artificial intelligence-driven trading practices
  • Characteristics and implications of P2P lending: ICO, IEO, STO, crowdfunding
  • Integration of fintech into established markets: Matthew effect, cryptocurrencies as safe havens, blockchain-based settlements
Associate Editors
  • Robb Alastair, University of Queensland
  • Aaron French, University of New Mexico
  • Gilbert  Fridgen, University of Luxembourg
  • Jascha Koch, Goethe University Frankfurt
  • Johann Kranz, LMU Munich
  • Guillermo Jesús Larios Hernández, Universidad Anáhuac
  • Phil Menard, University of Texas at San Antonio
  • Jürgen Moormann, Frankfurt School of Finance and Management
  • Raghava Rao Mukkamala, Copenhagen Business School
  • Roxana Ologeanu-Taddei, Université de Montpellier
  • Raghava Rao Mukkamala, Copenhagen Business School
  • Kai Spohrer, Frankfurt School of Finance & Management
  • Zach Steelman, University of Arkansas
  • Hemang Subramiam, Florida International University
  • Rhonda Syler, University of Arkansas
  • Timm Teubner, TU Berlin
  • Christine Van Toorn University of New South Wales
  • Felix Wortmann, University of St. Gallen

Track Chairs

Choon Ling Sia
City University of Hong Kong

Weiling Ke
Southern University of Science and Technology

Chih-Hung Peng
National ChengChi University

Track Description

Topics around crowds, social media and digital works have burgeoned in recent times for information systems (IS) scholars. Social media (e.g., Facebook, LinkedIn, YouTube, Twitter, Instagram, and WeChat) facilitates the development of “crowd markets.” Crowdsourcing and other forms of digital work have affected various industries (from ICT to finance to health). It is important for IS scholars to study the values and problems created by social media, crowd markets, and digital works. In this track, we invite cutting-edge research that sheds novel theoretical perspectives, novel empirical insights and other useful knowledge contributions on the ways of crowds, social media and digital works. This track is open to all types of research, conceptual, theoretical, analytical, and/or empirical.

Topics of Interest include but are not limited to:

  • The business potential of social media and digital works
  • Theories about social media and digital works and their effects on individuals, organizations and societies.
  • Designs of social media and digital work
  • Intra-and-inter-enterprise use of social media and digital works
  • Reputation and trust in social media and digital works
  • Management of social media and digital works
  • Organization strategies or business models exploiting social media
  • Impact of social media on individuals, organizations, or society
  • Crowdfunding, crowdsourcing, collective intelligence and collaborative innovation
  • Business and social innovations enabled by and/or related to social media
  • Studies on the development and impact of social media
  • New methods and tools to examine social media
  • Economics, sociotechnical or interdisciplinary research on social media
  • Policies, governance, ethics, and issues related to social media
  • Future (promises and perils) of social media
Associate Editors
  • Lele Kang, Nanjing University
  • Ling-Chieh Kung, National Taiwan University
  • Yi-Ling Lin, National Chengchi University
  • Ayoung Suh, Sungkyunkwan University
  • Say Yen Teoh, RMIT University
  • Shaobo Wei, University of Science and Technology of China
  • Tailai Wu, Huazhong University of Science and Technology
  • Haifeng Xu, Shanghai Jiaotong University
  • Chin-Sheng Yang, Yuan Ze University
  • Yu-Chen Yang, National Sun Yat Sen University
  • Liu Yi, Rennes School Business
  • Yinan Yu, Memphis University

Track Chairs

Seung Hyun Kim
Yonsei University, Korea

Dan Kim
University of North Texas, USA

Gene Moo Lee
University of British Columbia, Canada

Track Description

Recent technological advancements such as analytics, artificial intelligence (AI), internet of things (IoT), social media, and big data are rapidly transforming our daily lives, businesses, and society at large. However, as our dependency on technologies is ever-increasing, we are also witnessing many unintended negative consequences related to the use of technologies, which sometimes exceed the positive utility gained from it. From cybersecurity perspectives, the proliferation of social media and mobile technologies intensifies the concerns of data breaches. Criminals are finding new ways online to conduct illegal activities like online fraud, identity theft, and cyber terrorism. As a result, firms are actively seeking solutions to address these cybersecurity and privacy issues, and governments are implementing security and privacy policies. More recently, we see the emergence of undesirable ethical issues in the use of technologies. As exemplified by the case of Cambridge Analytica and Facebook, improper use of consumer data has serious business implications with possible legal, social, and political consequences. Online platforms are also criticized for some major failures such as the spread of fake news and the reinforcement of echo chambers, resulting in political polarization.

As a response to these challenges, this track seeks academic contributions that attempt to provide a better understanding of (1) the potential security, privacy, and ethical issues in the use of technologies; (2) consequences of these issues on individuals, businesses, and society; (3) possible solutions to address the concerns of security, privacy, and ethical issues while realizing the values generated by the technologies. Submitted manuscripts can draw on any theoretical backgrounds and methodological approaches.

Topics of interest include, but are not limited to:

  • Data security and breaches
  • User privacy and confidentiality
  • Ethical use of data and analytics
  • Internet-enabled crimes
  • Ethically undesirable online practices
  • Information security policy and compliance
  • Business, legal, social, political consequences of IS security and privacy
  • The dark web, live-streaming of crimes, harmful online content, etc.
  • Surveillance and its impact on security, privacy and ethics in organizations
  • Fake news, online discrimination
  • Possible solutions, regulations, policies
  • Tradeoffs between analytics initiatives and security/privacy concerns
  • Security and privacy issues on emerging technologies such as AI applications, blockchain technologies, IoT, etc.)
  • Security threat intelligence
  • Security/privacy concerns on crowdsourcing/crowdfunding platforms
Associate Editors
  • Jungkook An, Sun Moon University
  • Arslan Aziz, University of British Columbia
  • Jiye Baek, Korea University
  • Arion Cheong, California State Polytechnic University, Pomona
  • Jinseon Choe, Yonsei University
  • Mike Yoon Han, Harbin Institute of Technology
  • Andrew Harrison, University of Cincinnati
  • Shu He, University of Connecticut
  • Hwee-Joo Kam, University of Tampa
  • Byungwan Koh, Korea University
  • Mehrdad Koohikamali, California State Polytechnic University, Pomona
  • Alvin Leung, City University of Hong Kong
  • Kai Li, Nankai University
  • Tom Mattson, University of Richmond
  • Donghyuk Shin, Arizona State University
  • Yulia Sullivan, Baylor University
  • Vincent Zhuang, City University of Hong Kong

Track Chair

Chee Wei (David) Phang
University of Nottingham Ningbo China

Zixiu Guo
University of New South Wales

Track Description

The emergence of newer technologies, such as artificial intelligence (AI), augmented reality (AR), and Internet of Things (IoTs), have afforded new possibilities for how users may interact with IT artifacts. For example, AI chatbot may provide human-like interaction experience to users in dealing with problems such as product search and after-sales service. AR technology allows users to obtain rich information in offline shopping environments while integrating virtual and physical objects in one screen. IoTs enable different products to work together in providing a more holistic experience to the users. However, many questions remain as to how these novel IT artifacts should be designed to deliver their fuller values to the users and organizations.

There is thus a need for system designers to design, implement, and evaluate IT artifacts in ways that build on relevant theories and knowledge bases, and appropriate methodological techniques and approaches. This calls for the need of theory-grounded design science research that considers the unique features and affordances of IT artifacts, and the changing user needs and behaviors in order to inform the design, testing, and evaluation of contemporary IT artifacts.

We thereby seek a variety of research topics that can produce novel theoretical knowledge and practical insights concerning the design of IT artifacts, design methodologies or techniques, as well as design research that addresses specific issues in information systems (e.g., personalization, privacy, technostress). Research that employs quantitative or qualitati     ve methods, and techniques such as participatory design and user experience engineering are welcome.

Topics of interest include but are not limited to:

  • Design science and cross-disciplinary research
  • Theories in design science research
  • Principles and processes of information system design
  • Data-driven design of information systems
  • Evaluation of IT artifact design
  • Design of chatbots and digital assistants
  • Design of AR applications
  • IoTs and design science issues
  • Designing IT artifacts for sharing and collaborative consumption
  • Design science research to solve IT use issues
  • Ethics in design science research
  • Participatory design of information systems
  • Usability and user experience (UX) engineering
  • Emerging methods and techniques for design science research
Associate Editors
  • Michael C. Cahalane, The University of New South Wales
  • Luke Younghoon Chang, Beijing Institute of Technology
  • Dapeng Li, The University of New South Wales
  • Jifeng Luo, Shanghai Jiao Tong University
  • Sandeep Mysore Seshadrinath, The University of New South Wales
  • Yenni Tim, The University of New South Wales
  • Xinlin Yao, Nanjing University of Science and Technology
  • Wenchi Ying, Beijing Jiaotong University
  • Yicheng Zhang, Huazhong University of Science and Technology

Track Chairs

Alain Chong
University of Nottingham Ningbo China

Carmen Leong
University of New South Wales

Hongxiu Li
Tampere University, Finland

Track Description

Digital innovations have transformed how businesses are conducted today. New technologies related to big data, blockchain, Internet of Things, and machine learning are some examples of innovations that have disrupted industries and created new business models. In recent years, digital entrepreneurship is increasingly regarded as a potential solution to invigorate the market, create new jobs, and unleash the growth potential of businesses and industries. However, digital innovations will only create values to businesses if they are being properly developed and managed. Entrepreneurs often face challenges in creating and capturing value from new innovations for their stakeholders. Even successful tech companies such as Facebook and Google took years before they were able to find viable business models that leverage on their innovative technologies.

To fully unleash the potential of digital innovations, it is important to discover, understand and exploit the digitally enabled opportunities to create something new, including products or services, markets, production processes, ways of organizing, and business models. This track welcomes submissions that investigate the relationships between new digital innovations and entrepreneurship. We welcome all methodological approaches and perspectives and submissions are encouraged from all theoretical perspectives drawing from IS, entrepreneurship, strategic management, organization behaviour and related disciplines.

Topics include but are not limited to:

  • Entrepreneurship and New Business models enabled by digital innovations
  • Development, evaluation and value contributions of new innovations and business models in the era of artificial intelligence, blockchain, big data and Internet of Things.
  • Values created by new digital innovations to entrepreneurship
  • Digital entrepreneurship and innovation management
  • Platform innovation and platform economy
  • Value co-creation between digital (micro-)entrepreneurs and platform provider
  • Digital entrepreneurship through the formation of a new firm or the transformation of an existing firm
  • Societal implications of digital innovation and entrepreneurship
Associate Editors
  • Tristian Chong, SP Jain School of Global Management (Singapore)
  • Chunmei Gan, Sun Yat-sen University
  • Kok Wei Khong, Taylor’s University
  • Chen Xi Li, Beihang University
  • Shi Ying Lim, National University of Singapore
  • Patrick Pang, University of Melbourne
  • Xiaodie (Jenny) Pu, University of Nottingham Ningbo China
  • Isabel Ramos, University of Minho
  • Yunfei Shi, University of New South Wales
  • Nannan Xi, Vaasa University
  • Xun Zhou, University of York

Track Chairs

Felix Ter Chian Tan
UNSW Sydney
Felix Ter Chian Tan is an Associate Professor at UNSW Business School. He received his PhD in Information Systems from Queensland University of Technology. His current research interests include digital platforms and ecosystems, IS for good and enterprise systems. His research has been published in Information Systems Journal, Information and Management, Communications of the AIS and MISQ Executive etc. He is presently serving as an associate editor in Information and Management journal and Information Systems Journal.

Barney Tan
UNSW Sydney
Barney is the Head of School and a Professor at the School of Information Systems and Technology Management (SISTM) of UNSW Business School. He graduated with a PhD in Information Systems from the National University of Singapore, and was formerly Professor of Strategic Information Systems and Deputy Head of the Discipline of Business Information Systems at The University of Sydney. His research interests include strategic information systems, digital platforms and ecosystems, IT and sustainable development, IT management in the Asia-Pacific, and qualitative research.

Chunmian Ge
South China University of Technology
Dr. Chunmian Ge is a Professor and Deputy Head in the Department of Financial Management at the South China University of Technology (SCUT). He received his Ph.D. degree from the department of information systems at the National University of Singapore (NUS). Dr. Ge’s research studies Economics of Information Systems, Innovation and Big Data. His work has appeared or is forthcoming in leading journals, such as Strategic Management Journal, Research Policy, Journal of the Association for Information Systems, Information & Management, etc. He serves as associate editors in several conferences including ICIS and PACIS. He is a CFA Charterholder.

Track Description

From Alibaba to Uber, iOS and Facebook, digital platforms and ecosystems have brought about substantial societal change in the last decade, accelerating the growth of online shopping, ridesharing, applications development, gaming and social networking, etc. Such technology-mediated shifts in aspects of both work and play have prompted significant IT investments in developing platform capabilities in order to facilitate the exchange of goods, services, or social currency in large and complex networks of suppliers, intermediaries, and customers. Amid intensifying business competition and rapid societal change, platforms increasingly face environmental and organisational challenges posed by their surrounding ecosystem, such that it is becoming increasingly complex to establish, manage, and sustain platform-based business models. For example, platforms, unlike traditional pipeline businesses, must be sensitive to network effects between multiple sides of the market, as well as manage interoperability and regulatory issues, which include access, compatibility, and control of information assets. This rapid emergence of digital platforms and ecosystems has put practitioners and researchers on notice, presenting significant challenges and opportunities for IS research. Therefore, this track invites submissions that enrich and advance research in the arena of digital platforms and ecosystems. We invite rigorous and relevant studies employing a wide variety of research methodologies addressing aspects of digital platforms, ecosystems and their impacts on aspects of business and society. We aim to provide a forum for scholars to present new theories or empirical evidence in the area.

Topics of interests include, but are not limited to:

  • Digital platform innovation and entrepreneurship
  • Platforms and the future of work
  • Platforms and the sharing economy
  • New practices and leadership in digital ecosystems
  • Policy and regulatory issues in digital ecosystems
  • Multi-sided platforms and network externalities
  • New platform-based business models and competitive strategies
  • Governance and alignment in platform ecosystems
  • Human behaviour and digital platforms
  • Digital platforms and sustainable development
  • The “dark side” of digital platforms and ecosystems
Associate Editors
  • Allen Au, National Chung Cheng University
  • Calvin Chan, Singapore University of Social Sciences
  • Jin Chen, University of Nottingham Ningbo
  • Yuanyuan Dang, South China University of Technology
  • Yuxin Huang, Soochow University
  • Junhui Jiang, South China University of Technology
  • Haifen Lin, Dalian University of Technology
  • Ying Liu, University of Massachusetts Amherst
  • Evelyn Ng, The University of Sydney
  • Mairead O’Connor, UNSW Sydney
  • Nina-Birte Schirrmacher, National University of Singapore
  • Yuan Sun, Zhejiang Gongshang University
  • Xiao Xiao, Copenhagen Business School

Track Chairs

Fiona Fui-Hoon Nah
City University of Hong Kong

Khim Yong Goh
National University of Singapore

Zhijie Lin
Tsinghua University

Track Description

The contemporary and ongoing diffusion of digital and mobile technologies, such as cloud computing, mobile computing, social media, digital platforms, data analytics, artificial intelligence (AI), blockchain and distributed ledger technology, generate new possibilities for e-business, which is broadly defined as the conduct of business on the Internet. E-business is not limited to facilitating buyer and seller transactions, but also changing the form and boundary of a firm and introducing new business opportunities. With the emergence of big data that can be used to inform business decisions, the global penetration of AI and automation, as well as increasing adoption of mobile devices and technologies by consumers and businesses, opportunities to study the organizational aspects of e-business continue to expand.

This track is interested in papers that enhance knowledge and understanding of the design, implementation, and evaluation of emerging e-business on the digital and mobile platforms. It calls for empirical and theoretical research into the managerial challenges faced by digitally connected enterprises and the innovation of new business models, processes, products, and services supported by an increasing integration of digital and mobile platforms with new organizational practices and new consumer trends.

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

Topics of interest include, but are not limited to:

  • Auctions and pricing mechanisms in e-business
  • Artificial intelligence in e-business
  • Big data analytics in e-business
  • Business, data and process modeling in e-business
  • Digital infrastructure in e-business on digital and mobile platforms
  • New business models and marketplace created by e-business
  • IT strategy and risks in managing digitally connected enterprise
  • Recommendation, personalization, and service innovation in e-business
  • Trust, privacy and security in e-business
Associate Editors
  • Samadrita Bhattacharyya, Indian Institute of Management Udaipur
  • Langtao Chen, Missouri University of Science and Technology
  • Weiyin Hong, Hong Kong University of Science and Technology
  • Chen Jin, National University of Singapore
  • Arpan Kar, Indian Institute of Technology Delhi
  • Stanley Kok, National University of Singapore
  • Ding Li, Nanjing University
  • Qi Li, Zhejiang GongShang University
  • Rajhans Mishra, Indian Institute of Management Indore
  • Yongjin Park, City University of Hong Kong
  • Lingyun Qiu, Peking University
  • Siliang (Jack) Tong, Nanyang Technological University
  • Qingliang Wang, Northwestern Polytechnical University
  • Dezhi Wu, University of South Carolina
  • Shengsheng Xiao, Shanghai University of Finance and Economics
  • Jingjun (David) Xu, City University of Hong Kong
  • Cheng Zhang, Fudan University

Track Chairs

Benoit A. Aubert
HEC Montreal

Arvind Tripathi
University of Auckland

Wei Thoo Yue
City University of Hong Kong

Track Description

In the last two decades, Information technology has played a key role in restructuring how we operate businesses. As technology continues to evolve, it facilitates a new world order and has redefined markets, organizations, and work. This ongoing transformation is challenging, to say the least, and it is forcing us to reconsider how we understand the interactions between economic actors, how we define and coordinate work, and how we support economic activities. It also has significant impacts at the macro level, along with policy, regulation, and security implications.

This track invites theoretical and empirical papers exploring the numerous linkages between economics and information systems. The track hopes to include papers using or adapting economic theories to explain the application, use, or impact of IT in the current world, as well as papers explaining how IT is transforming the economic environment. Papers should be firmly anchored in the IS tradition, explicitly including the IT artefact in their theoretical development.

Potential topics include (but are not limited to):

  • Digital goods, digital marketplaces and platforms
  • AI and machine learning transformation of markets and organizations
  • Outsourcing and offshoring
  • Smart contracts
  • Crowdfunding and other collective initiatives
  • Mobile economy
  • Risks associated with privacy and security
  • Sharing economy
  • Decision-making in electronic markets
  • Industry transformations (FinTech, AdTech, HRTech, etc.)
  • Open innovation, co-creation, and new business models

We invite submissions that are theoretically rigorous and empirically grounded in real-world contexts. Pure theory and methodology papers will also be welcomed, provided that they demonstrate the novelty of the theory and methodology in real-world applications.

Associate Editors
  • Animesh Animesh, McGill University
  • Anteneh Ayanso, Brock University
  • Swanand Deodhar, Indian Institute of Management, Ahmedabad
  • Yong Liu, Aalto University
  • Xiaowei Michael Mei, Hong Kong Polytechnic University
  • Rohit Nishant, Laval University
  • Alex (Chong) Wang, Peking University
  • Tianjian Zhang, City University of Hong Kong

Track Chairs

Eric T. G. Wang
National Central University

Kai Wang
National University of Kaohsiung

Jeffrey C. F. Tai
National Chiayi University

Anup Shrestha
University of Southern Queensland

Track Description

Advances in digital technologies, such as artificial intelligence, big data analytics, cloud computing, and Internet of Things, afford tremendous opportunities for information systems (IS) innovations and value creation. In order to seize the opportunities afforded by digital technologies, organizations need to mindfully and agilely orchestrate the needed assets and capabilities. Well-designed governance mechanisms (i.e., decision rights and accountability frameworks) are also required to harmonize strategic objectives, IS/IT investment decisions, and the implementation of digital transformations.

Due to the complexity of digital transformation, a number of issues pertaining to governance, strategy, and IS value have to be identified and effectively managed. Specifically, how do organizations appraise the business value of digital innovations? How do organizations align the needed assets and capabilities with their strategic objectives dynamically? Adopting advanced digital technologies/innovations may bring about new challenges. For example, what are the mechanisms for governing BYOD and shadow IT? How do organizations manage increased interdependencies among stakeholders with shared digital infrastructure/platform? Lastly, to harness digital transformation, organizations also need to engage process innovations in the transformation. This may need new ways of IS/IT development/implementation and project/portfolio management, requiring new IS/IT governance structures and mechanisms.

This track invites thought-provoking, original research papers. We welcome research that either develops a new theoretical framework, offers insightful analytical viewpoints, or provides interesting empirical findings. We also require that submitted papers offer meaningful and actionable implications for practitioners.

Topics of interest include, but are not limited to:

  • Value (co-)creation
  • Digital innovations
  • Digital transformations
  • Value appraisal of digital technologies
  • Benefit realization of digitalization innovation/transformation
  • IS/IT alignment and ambidexterity
  • Governance of digital infrastructure, platforms, and ecosystems
  • Governance of enterprise or interorganizational IS/IT applications and services
  • Governance of IS/IT projects, portfolios, and programs
  • IS control, IT governance, and IS/IT risk management
Associate Editors
  • Hsin-Lu Chang, National Chengchi University
  • Hsiao-Fen Chen, National Chi Nan University
  • Wooje Cho, Seoul National University
  • John Dong, Trinity College Dublin
  • Han-Fen Hu, University of Nevada
  • Hsin-Yi Huang, Soochow University
  • Neil Chueh-An Lee, National Chiayi University
  • Hui-Wen Liu, Xi’an Jiaotong-Liverpool University
  • Chaitanya Sambhara, University of Texas at Arlington
  • Anup Shrestha, University of Southern Queensland
  • Xinlin Tang, Florida State University
  • Wei-Tsong Wang, National Cheng Kung University
  • Hsiao-Lan Wei, National Taiwan University of Science and Technology

Track Chairs

Ben Choi
Nanyang Technological University

Lusi Yang
University of Arizona

Yi Wu
Tianjin University

Track Description

Interacting with robotic systems has become a daily routine for people living in the highly digitalized world. Whether used as appliances in private homes, monitoring and assisting car driving, or encountered as technology in public places – “systems that sense, plan, and act” do so around us in many ways and oftentimes go unnoticed.

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

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

Topics of Interest

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

  • Aesthetic and affective computing
  • Design and evaluation of end-user computing in work versus non-work environment, and in developing versus developed economies
  • Embedded IT applications including robotics, AI systems, intelligent homes, spatial systems
  • Feature-level IT adoption and use
  • HCI and robotics interface design issues with new devices and applications, such as smartphones, social networking sites, M-commerce, and pervasive computing
  • Human information seeking behavior on the digital platforms
  • Human Robot Interactions
  • Human Automated or Autonomous Vehicle Interactions
  • Human Interactions with Autonomous and Intelligent Systems
  • Human-centeredness and user-centeredness in technology design, development and use
Associate Editors
  • Roberta Bernardi, University of Bristol
  • Aihui Chen, Tianjin University
  • Rui Gu, University of International Business and Economics
  • He Li, Clemson University
  • Zhiyin Li, Nanyang Technological University
  • Cheng Luo, Tianjin University
  • Xuechen Luo, Shanghai International Studies University
  • Fanbo Meng, Jiangnan University
  • LG Pee, Nanyang Technological University
  • Xixian Peng, Zhejiang University
  • Zhen Shao, Harbin Institute of Technology
  • Aihua Yan, City University of Hong Kong
  • Xinlin Yao, Nankai University
  • Sungjin Yoo, Iona College
  • Sangseok You, Sungkyunkwan University
  • Lin Yue, Torrens University
  • Xiaofei Zhang, Nankai University
  • Liang Zhou, Sichuan University

Track Chairs

Kevin Kuan
The University of Sydney

Mengxiang Li
Hong Kong Baptist University

Yixin (Sarah) Zhang
University of Gothenburg

Track Description

The interrelationship between human behavior and information systems has been an important research area in our discipline. With the development of various new technologies and increasing technology use in the workplace and our daily life, this topic will continue to be an important research area. 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, organization, and societal levels as well as the intersection across levels. We welcome submissions that extend or challenge current beliefs, assumptions, and theories. Qualitative, quantitative, or mixed-method studies are mostly welcome, as well as conceptual articles that offer theoretical insights and directions for future research. Compared with other tracks (e.g., HCI), this track is especially interested in the “behavioral” aspect of the human being in the use of IT, rather than the “interaction” between human and computers.

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 and its influence on human behaviors
  • Artificial intelligence and its implication on human behaviors
Associate Editors
  • Aleksandre Asatiani, University of Gothenburg
  • Cong Cao, Zhejiang University of Technology
  • Zike Cao, Zhejiang University
  • Kevin Carillo, TBS Business School
  • Frank Chan, ESSEC Business School
  • Honglin Deng, Tongji University
  • Zhao Du, Beijing Sport University
  • Dongxiao Gu, Hefei University of Technology
  • Xitong Guo, Harbin Institute of Technology
  • Yuhao Li, Shanghai International Studies University
  • Zilong Liu, Dongbei University of Finance and Economics
  • Sachithra Lokuge, University of Southern Queensland
  • Zeyu Peng, East China University of Science and Technology
  • Heng Tang, University of Macau
  • Le Wang, Xi’an Jiaotong University
  • Kit Hong Wong, Fooyin University
  • Xue Yang, Nanjing University
  • Chiahui Yen, Ming Chuan University
  • Chunxiao Yin, Southwest University
  • Nan Zhang, Harbin Institute of Technology

Track Chairs

She-I Chang
National Chung Cheng University

Peter Ractham
Thammasat University

Yu-Hsiu Lin
National Chung Cheng University

Track Description

Following the topic of PACIS 2020: e-Health, this year we’re more focused on comprehensive health IT and IS for health care. Health technology keeps on progressing at a noteworthy rate, and plays a critical role in the health care delivery system, including enhancing the quality of care, transparency of medical information, and efficiency of information flow. Next-generation tools like artificial intelligence and machine learning provide the promise, and more recently, the reality of revolutionizing the way health and healthcare is delivered.

While technological advancements bring great benefits to healthcare, many challenges have arisen, such as issues related to massive health care data integration, security, privacy and the socio-technical aspects of patient safety, explanations of the findings based on big data analysis, and implementation of healthcare innovations. Innovations of health IT and IS for healthcare lead to improved outcomes with the use of administrative, clinical, and financial applications with emphasis on the infrastructure required to deliver applications and technologies that will lead to improved patient outcomes and quality.

The approach developed used a variety of methodologies and stimulus techniques to engage the public and specialist in informed discussion around this track. The core aim of this track is to provide an opportunity for the people, including scholars, policy decision makers, industry players, stakeholders, and the general public, to meet, interact and exchange new ideas, and share practical innovations on health IT and IS for healthcare in the digital age. We welcome all research related to health IT and IS for healthcare in the digital age and are open to all types of research methods (e.g., simulation, survey, experimentation, literature review, case studies, action research, etc.). Practice-based research is also appreciated. Both full research papers and research-in-progress papers are welcome.

Topics of interest may include (but are not limited to):

  • Health IT and IS for healthcare
  • Health informatics and biomedical informatics
  • Applied artificial intelligence and machining learning
  • Big data, data analysis, and management
  • Personalized and precision medicine
  • E-health and telemedicine,
  • Mobile health and wearable medical devices
  • Medical imaging
  • Patient accessibility and health care simulation
  • Regulations and impacts on social and ethical implication of advances in health care
Associate Editors
  • Danuvasin Chareon, Nida Business School
  • Min-Huei Hsu, Taipei Medical University
  • Ya-Han Hu, National Central University
  • Laddawan Kaewkitipong, Thammasat University
  • Winai Nadee, Thammasat University
  • Darshana Sedera, Swinburne University of Technology
  • Mathuprayass Thongmak, Thammasat University
  • Hsiao-Ting Tseng, National United University
  • Yi-Ju Tseng, Chang Gung University
  • Tawei (David) Wang, DePaul University
  • Min-Huan Wu, Tunghai University

Track Chairs

Xiaoliang Shen
Wuhan University

Kem Z.K. Zhang
Lakehead University

Libo Liu
University of Melbourne

Track Description

The explosion of digital technologies has impacted the whole sector of IS education and e-learning, where education providers, practitioners, and researchers explore and evaluate new ways to accommodate the demands of learners. The emerging learning context, changing social environment and the appropriate choice of technologies are now at the center of challenges.

Eyeing at the intersection of information systems and pedagogy, this track will address the opportunities and challenges created by digital technologies as a new pedagogical tool in IS Education and e-Learning. On the one hand, this track discusses innovative approaches that integrate emerging technologies to improve learners’ experiences and outcomes. On the other hand, this track also shed light on the threats and challenges currently faced by IS education and e-learning and the coping strategies used to deal with them. Due to the COVID-19 pandemic, e-learning has become one of the most important components of all educational institutions around the world. We particularly welcome submissions addressing the implementation of cutting-edge technologies (e.g., AI, VR/AR, Cloud computing, Big data analytics, etc.) in education, and exploring innovative IS educational practices during the COVID-19 pandemic, such as microlearning, gamification of learning, flipped classrooms, etc.

We hope this track can bring new teaching approaches and methods to the IS field and provide new learning experiences for students in IS as well as other disciplines. The focus of the track thus is on new and innovative approaches to curriculum, course design, pedagogy, and practice. In spite of this, this track aims at providing a valuable and informative platform for various stakeholders to present and discuss IS education and e-learning. We welcome high-quality research papers on any major topic of IS education and e-learning. All research methods and approaches addressing the key issues in IS education and e-learning are welcomed.

Research areas of interest include, but are not limited to:

  • IS curriculum design, innovation and model curricula
  • Innovative pedagogical approaches and evaluation in IS education
  • COVID-19 and e-learning innovation
  • Dark sides of IT in IS education and e-learning
  • Edutainment, gamification of learning
  • Educational big data and learning analytics
  • Social attentive user interfaces for e-learning
  • Autodidactism or self-learning in IS education
  • Workplace and lifelong education for IS discipline
  • IT-enabled (e.g., Mobile technology, VR/AR, AI, blockchain, etc.) innovative learning environments (e.g., MOOC, blended learning, microlearning and fragmented courses, smart and personalized education, collaborative Learning, etc.).
Associate Editors
  • Qingqing Bi, University of Canterbury
  • Chongyang Chen, Soochow University
  • Tingru Cui, University of Melbourne
  • Qi Deng, Dalhousie University
  • Eleni Dermentzi, Northumbria University
  • Michael Dohan, Lakehead University
  • Justin Filippou, University of Melbourne
  • Xiang Gong, Xi’an Jiaotong University
  • Reza Kachouie, Deakin University
  • Yang-Jun Li, City University of Hong Kong
  • Kristijan Mirkovski, Deakin University
  • John Michael Muraski, University of Wisconsin Oshkosh
  • Yongqiang Sun, Wuhan University
  • ShiKui Wu, Lakehead University
  • Ruihe Yan, Hefei University of Technology
  • Yujie Zhou, Hong Kong Baptist University

Track Chairs

James Jiang
National Taiwan University

Shin-Yuan Hung
National Chung Cheng University

Track Description

Many organizations have embarked on the journey of digital transformation to sustainably reinvent themselves and advance their competitive advantages. New technologies such as cloud computing, artificial-intelligence, fin-tech and big data analysis bring huge impact to the industry and reshape what we know about customer experience, product innovation and team collaboration. Organizations strive to transform in this digital era through the implementation of project and program management to accomplish strategic goals. Our track provides a forum for researchers and practitioners to share and advance understanding about how to manage projects and programs in this IT-driven changing environment.

Submissions can be conceptual, theoretical, empirical and others at different units of analysis including industry, organization, project and individual levels. Submissions that address the current state of project and program management, highlight emerging topics and trends in this area, and provide suggestions for improved management are welcome.

Topics of interest include, but are not limited to:

  • IS sourcing project
  • Stakeholder management
  • Portfolio management
  • Agile project management
  • IS project and cybersecurity
  • Managing data analytics projects
  • Managing distributed and virtual IS projects
  • Coordination and control in IS projects and programs
  • Governance in complex projects and programs
  • Managing organizational change associated with IS projects
  • IS project and program management capabilities, competence, and maturity
  • Leadership and politics in IS project and program management
  • Innovation and project management
Associate Editors
  • Jamie Chang, Tunghai University
  • Yu-Li  Hung, National Chung Cheng University
  • Tsan-Ching Kang, Providence University
  • Hui-Min Lai, National Taichung University of Science and Technology
  • Jacob Chia-An Tsai, National Yunlin University of Science and Technology
  • Jason X. Wu, Tsinghua University
  • Yu-Juan Zheng, Xi’an Jiaotong University

Track Chairs

Xin Xu
The Hong Kong Polytechnic University

Hailiang Chen
The University of Hong Kong

Honglei Li
Northumbria University

Track Description

Ubiquitous computing (or pervasive computing) is rapidly evolving from mobile computing because the Internet of Things (IoT) and related technologies provide the infrastructure of connected devices empowered with computing and communication capabilities. Technology innovations enabled by ubiquitous computing are transforming daily lives of individual consumers (e.g., digital bracelets), the industrial production and delivery of products and services (e.g., sensors used to monitor the condition of manufacturing machines), and the operations of the public sector (e.g., smart city applications). McKinsey estimated that the total market value of IoT applications was 900 million U.S. dollars in 2015 and will reach 3.7 billion by 2020 with a compound annual growth rate of 32.6%. Global investment on IoT-based smart services is on the rise, with smart homes, smart wearables, and smart cities topping the list. There is thus a pressing need from practitioners to understand how to leverage, manage, and market the transformational impacts of such technologies.

This PACIS track on Mobile, IoT, and Ubiquitous Computing aims to provide a venue to assemble Information Systems research that addresses the behavioral, economic, managerial, and strategic issues emerging from ubiquitous and pervasiveness computing. We welcome a wide spectrum of research—1) from exploratory to explanatory and confirmatory studies, 2) at/across different levels—from individual users to organizations and cities, and 3) upon different theoretical foundations—e.g., Data Science, Design Science, Service Science, Operations Management, and Organization Science.

Topics include, but are not limited to:

  • user interaction with IoT objects
  • streaming data analytics
  • business processes innovation enabled by ubiquitous computing
  • the strategic management of organization changes supported by IoT
  • the migration from mobile computing to ubiquitous and pervasive computing
  • smart city and smart home
  • smart services
  • human-centred pervasive computing
  • context awareness and affective computing in mobile systems and fundamental research into smart devices
  • machine learning, artificial intelligence, and blockchain applications in ubiquitous and pervasive computing
Associate Editors
  • Xiling Cui, Hong Kong Shue Yan University
  • Katherine Feng, Hong Kong Polytechnic University
  • Jimmy Jin, Hong Kong Polytechnic University
  • Jing Li, Nanjing University
  • Shengjun Mao, The University of Hong Kong
  • Xiaoting Xu, Nanjing University of Posts and Telecommunications

Track Chairs

Chee-Wee Tan
Copenhagen Business School

Eric T. K. Lim
University of New South Wales

Zhao Cai
University of Nottingham Ningbo China

Track Description

Philosophy is reflection that deliberately and rigorously examines what has been accepted as given. From a philosophical standpoint, an information systems scholar is expected to periodically pause his/her research endeavors in order to question, for instance, what constitutes “information”, what constitutes “systems”, and what constitutes “research”, and then to open oneself up to whatever revelations one derives from the questioning when resuming research on information systems. In this sense, philosophy requires the information systems community to eventually research itself by re-examining its own historical and intellectual roots, where the community’s ineptitude in doing this would foreshadow its ineffectiveness in researching information systems.

Philosophy also sets the stage for the systematic procedures – research methods – that we adopt in order to build and test theory when conducting research. Methods can be revealed as inadequate and even incorrect when illuminated under the light of philosophy. Consequently, methodological research – research on methods – best entails a philosophical perspective. Indeed, advances in technology offer unprecedented opportunities for information systems scholars to revisit and refine conventional research models to deliver fresh insights with significant contribution.

The Philosophy and Research Methods Track prefers submissions that regard philosophy and research methods in the ways just delimited. Purely empirical studies, which are not motivated by philosophical and/or methodological reflection, are not appropriate for this track. However, empirical material is always welcome for exemplifying a study’s broader philosophical and methodological considerations.

Topics of interest include but are not limited to:

  • Have the philosophical foundations and methodological practices of information systems research evolved over time?
  • How do philosophical foundations inform methodological practices within information systems research?
  • What is the maturity of information systems research as a reference discipline for theories and methods?
  • How can we define evaluative criteria for determining the contribution of information systems research?
  • How can we strike a balance between rigor and relevance in information systems research?
  • Is there room for phenomenon-driven research within the information systems discipline?
  • What is the nature and role of theories in information systems research?
  • How should we go about developing native information systems theories?
  • What does it mean to theorize within information systems research and how can we improve the process of theorizing?
  • What are the philosophical and methodological impacts of emerging paradigms in information systems research (e.g., critical realism, design science, engaged scholarship and pluralism)?
  • What are predominant methodological trends in information systems research and how do these trends influence theory development?
Associate Editors
  • Meng Chen, Soochow University
  • Xiayu Chen, Hefei University of Technology
  • Wan Yee Wendy Hui, Lingnan University
  • Boying Li, University of Nottingham Ningbo China
  • Manuel Trenz, University of Göttingen
  • Gongtai Wang, University of Queensland
  • Bowen Zheng, Tsinghua University

Track Chairs

Fu-ren Lin
National Tsing Hua University

Nila Armelia Windasari
Bandung Institute of Technology

Pei-Shan Hsieh
Tunghai University

Track Description

Service Science, an interdisciplinary study of service systems, has been integrated with knowledge and technologies from various disciplines, such as economics, psychology, sociology, anthropology, management, computer science and engineering, and design since it was established in the first decade of the 21st century. Researchers and practitioners who have been interested in cross-disciplinary studies or devoting to interdisciplinary problem-solving tasks are mainly on the frontline of service science development. Service science views service in a system view and investigates the ways of value cocreation in different granularity of the ecosystem. The academic discipline of Information systems (IS) established three decades ago emphasizes the study of information systems by taking the perspectives from various disciplines to understand the dynamics of using computer information systems; moreover, IS adopts design science approaches aiming to change the status quo of the information systems to improve its effectiveness. IS discipline is a major front runner for exploring service science, which is tightly connected with the human-centered design and innovation for social wellbeing and sustainability.

This track aims to serve as the bridge for IS researchers and service science pioneers to share their research progress in tackling issues in service involved with information technologies. The following areas of research include tentative topics but not exclusive to draw the attention of dialogues from both communities.

  • The integration of human and machine intelligence
  • Service design and design science
  • Human-centered design of information systems
  • Information systems for value cocreation
  • Open innovation in service
  • Technology-enabled service
  • AI for knowledge intensive service
  • Theories of service science
  • Service innovation in business contexts
  • Service science and sustainability
Associate Editors
  • Mousa Albashrawi, King Fahd University of Petroleum and Minerals
  • Cheng-hsin Chiang, Feng Chia University
  • Tzu-Chiang Chiang, Tunghai University
  • Nur Fazidah Elias, Universiti Kebangsaan Malaysia
  • Pei-fang Hsu, National Tsing Hua University
  • Wei-Hsi Hung, National Chengchi University
  • Yu-Teng Jang, Tunghai University
  • Yi-cheng Ku, Fu-Jen Catholic University
  • Jiunn-Woei Lian, National Taichung University of Science and Technology
  • Yi-chin Lin, Hofstra University
  • Yu-kai Lin, Georgia State University
  • Chewei Liu, Indiana University
  • Md. Abul Kalam Siddike, Tokyo Institute of Technology
  • Jian-Hang Wang, Feng Chia University

Track Chairs

Jason Bennett Thatcher
Temple University

Carol Hsu
University of Sydney

Tommy Chan
Northumbria University, the United Kingdom

Track Description

This track aims at promoting research in the innovation, adoption, and diffusion of Information Technology (IT). The last three decades have seen a plethora of research that has examined a wide range of issues concerning IT innovation, adoption, and diffusion across multiple contexts and users.

Although extant literature on adoption and diffusion has advanced our knowledge of how IT can be appropriated by individuals, groups, and organizations, the emergence of new and descriptive technologies (e.g., artificial intelligence, blockchain, extended reality, human augmentation, autonomous driving, and 5G data networks), unconventional use contexts (e.g., in non-profit organizations and government agencies, during social movements, natural disaster, and health emergency), and increasingly blurry usage boundaries (e.g., utilitarian vs. hedonic uses, professional vs. personal use, and workplace vs. home settings) have renewed calls for new ways of theorizing and examining its implementation, adoption, use, and impacts.

This track solicits research that provides fresh theoretical and methodological perspectives into issues surrounding IT innovation, adoption, and diffusion. We particularly welcome submissions that address the knowledge gaps in the IT innovation, adoption, implementation, use, and impacts on different levels, such as individual, group, organization, society, or nation. Submissions that use novel conceptual, analytical, design-oriented, or empirical approaches and describe theoretically original and practically relevant research are strongly encouraged.

Potential topics include (but are not limited to):

  • Adoption, implementation, and diffusion of IT in new contexts or emerging groups
  • Adoption, implementation, and diffusion of IT on different levels
  • Enablers and/or inhibitors of IT adoption, implementation, and diffusion
  • Impacts (or unintended impacts) of IT adoption, implementation, and diffusion
  • Comparisons of IT adoption, implementation, diffusion, and use across different user groups and settings
  • Innovative uses of IT and impacts on individual, organization, government, and society
  • Multi-level analysis of IT adoption, implementation, diffusion, and use
  • New theoretical perspectives on IT adoption, implementation, and diffusion
  • New methodological approaches for researching IT adoption, implementation, and diffusion
Associate Editors
  • Sophia Duan, RMIT University
  • QiQi Jiang, Copenhagen Business School
  • Ping Fan Ke, Singapore Management University
  • Banita Lal, University of Bradford
  • Hugo Lam, University of Liverpool
  • Joyce Lee, National Chengchi University
  • Anne Yenching Liu, National Yunlin University of Science and Technology
  • Markus Nöltner, EBS Universitaet
  • Dan Pienta, Baylor University
  • Mohammad Jabbari Sabegh, Queensland University of Technology
  • Yen-Yao Wang, Auburn University
  • Melody Zou, University of Warwick

Track Chairs

Ilan Oshri
Auckland University, New Zealand

Rong Du
Xidian University, Xi’an, China

Derek Wenyu Du
Beihang University, Beijing, China

Fang Su
Jinan University, Guangzhou, China

Track Description

In the digital age, organizations are faced with the challenge of adapting their IS sourcing practices to a number of major changes (Dibbern et al. 2020). First, digital technologies increasingly permeate the processes, products, and services of companies (Venkatraman 2017)—including those IS services and products offered by a vibrant and increasingly complex ecosystem of external service providers that includes consulting companies, standard software providers, specialized development firms, and digital giants. Second, the digital transformation entails a number of concurrent technological shifts such as the rise of AI and new architectural paradigms (e.g., microservices, low-code platforms, and serverless computing) that fundamentally change the nature of the task that is being sourced (Willcocks et al. 2016), reconfigure firm boundaries, and add further complexity to the already confusing number of alternative sourcing arrangements (Lacity et al. 2010; Oshri et al. 2019, Nevo and Kotlarsky, 2020) and governance mechanisms (Benaroch et al. 2016; Gregory et al. 2013; Huber et al. 2013; Kotlarsky et al. 2018; Wiener et al. 2016). Furthermore, with the growing popularity of data-driven business models issues associated with data sourcing are becoming more prevailed (Wiener et al. 2020). To respond to these changes, sourcing professionals will have to adapt their decision and governance practices—offering unique opportunities for researchers to advance understanding of the evolution and socio-technical underpinnings of sourcing practices (Sarker et al. 2019).

This track welcomes papers that improve our understanding of how, why, and under what conditions sourcing can make a positive contribution to the digital transformation of firms. We welcome all types of research, including empirical, conceptual, and simulation-based studies that address social, technical, and socio-technical aspects of IS sourcing. We also welcome ‘focus on practice’ submissions. Topics of interest include, but are not limited to:

  • In-depth investigations into the complexities and dynamics of sourcing practices
  • Sourcing as driver of digital transformation processes
  • Sourcing of innovative, AI-powered systems, including studies investigating new AI-specific managerial practices such as data governance, management of (algorithmic) learning processes, and the management of autonomous agents (e.g., robots)
  • Technology-driven changes in sourcing practices including studies exploring how increasingly autonomous systems and/or new architectural innovations transform sourcing decision making and sourcing governance
  • Sourcing configurations and sourcing arrangements for the digital age (multi-sourcing, plural sourcing, crowdsourcing, cloudsourcing, etc.)
  • Supplier and client capabilities and competences for the digital age
  • Sourcing governance and in particular studies investigating change processes, holistic configurations of governance mechanisms, and interactions between them
  • Sourcing eco-system
  • Data sourcing
  • Backsourcing/re-shoring decisions driven by the digital transformation and in particular the changing role of IS
  • Sourcing of knowledge-intensive and innovative IS services and products
  • Emerging topics and concepts in sourcing not covered above
Associate Editors
  • Miao Cui, Dalian University of Technology
  • Chunping Deng, Beijing Technology and Business University
  • Qianzhou Du, Nanjing University
  • Daniel Gozman, University of Sydney
  • Timofey Shalpegin, The University of Auckland
  • Maduka Subasinghage, Auckland University of Technology
  • Hongpeng Wang, Lanzhou University
  • Qiang Wang, Xi’an Jiaotong University
  • Sixuan Zhang, Beihang University
  • Xiaohao Zhou, Sun Yat-sen University

Track Chairs

Annika Baumann
University of Potsdam, Weizenbaum Institute for the Networked Society

Hanna Krasnova
University of Potsdam

Sabine Matook
University of Queensland

Track Description

Given the various societal, economic, and ecological challenges facing the world, the United Nations 2030 Agenda has formulated Sustainable Development Goals (SDGs) that focus on combating poverty, reducing the growing gap of inequality, securing economic growth and innovation, while also addressing the issues of global health and education, climate change, and preservation of our oceans and forests, among others. In the urgent search for solutions, information and communications technologies (ICTs) are often seen as crucial mechanisms to positively transform our society and help to contribute to the world’s sustainable development. Succeeding at the SDGs requires various ICT use scenarios that in turn influence the current status and future success of each SDG. However, the ubiquitous (and not well-thought-out) use of ICTs can also have many unintended consequences, which the society is only starting to understand. Consequently, the objective of the track is to develop theoretical insights and a practical understanding of opportunities and issues that address social and ethical implications of ICT use in the context of SDGs. Indeed, where and how can ICTs contribute to the achievement of SDGs? And what are the challenges that stand in the way? Which positive effects can we hope for? And which unintended consequences do we have to consider?

In this vein, this track seeks to attract research papers that deal with the societal impact of ICTs in the context of SGDs. Contributions that look at the positive potential of ICTs, but also explore the unintended consequences of ICT use are welcomed.

Potential topics include (but are not limited to):

  • Individual and societal consequences of current or emerging technologies or technological trends, e.g., Internet of Things, artificial intelligence, augmented reality, etc.
  • Unintended consequences of ICTs (e.g., discrimination, technostress, surveillance, unethical uses of ICT use)
  • The Bright Side of ICTs (e.g., social capital, information spread and access)
  • ICTs for a sustainable & green society, government, and/or industry
  • The role of ICTs in alleviating poverty
  • The role of ICTs in facing and mitigating ecological challenges
  • The role of ICTs in social inclusion/exclusion and educational (in)equality
  • The role of ICTs to achieve good health and well-being
  • Harnessing ICTs in attaining SDGs
Associate Editors
  • Olga Abramova, University of Potsdam
  • Benjamin Fabian, Technische Hochschule Wildau
  • Irina Heimbach, WHU Vallendar
  • Daniel B. Le Roux, Stellenbosch University
  • Christiane Lehrer, Copenhagen Business School
  • Yong Liu, Aalto University
  • Christian Meske, Ruhr-Universität Bochum
  • Morteza Namvar, The University of Queensland
  • Jessie Pallud, EM Strasbourg Business School
  • Doug Parry, Stellenbosch University
  • Jeannette Stark, Technical University Dresden
  • Thomas Widjaja, Technical University Darmstadt
  • Sam Zaza, Middle Tennessee State University

Track Chairs

Patrick Chau
University of Nottingham Ningbo China

Atreyi Kankanhalli
National University of Singapore

Jose Benitez
EDHEC Business School

Zach W. Y. Lee
Durham University

Track Description

This Track calls for high-quality IS research on general IS topics. In this sense and based on our IS discipline’s tradition, we welcome a broad range of research topics on how IT affects individuals, organizations, and society. Both conceptual and empirical papers are welcomed. The Track is also open in terms of the research methods to be used.

In the call for research on how IT affects organizations, we welcome impactful and promising IS research on the business value of emerging and disruptive technologies (social media, mobile, analytics, cloud, Internet of things, artificial intelligence, 5G), digital business transformation, digital business strategy, and digital innovation. In the call for research on how IT influences individuals and society, any relevant IS research topic on how new/traditional IT affects customers, customer behavior, and customer engagement is welcome. Multidisciplinary approaches are also welcome on this Track.

Associate Editors
  • Michel Avital, Copenhagen Business School
  • Anant Joshi, Maastricht University
  • Thomas Kude, ESSEC Business School
  • Jiabao Lin, South China Agricultural University
  • Na Liu, University of Sydney
  • Xin (Robert) Luo, University of New Mexico
  • James Marsden, University of Connecticut
  • Patrick Mikalef, Norwegian University of Science and Technology
  • Eric Ngai, Hong Kong Polytechnic University
  • Ojelanki Ngwenyama, Ryerson University
  • Carol Ou, Tilburg University
  • Ales Popovic, NEOMA Business School
  • Tahir Syed, University of Manchester
  • Paul Tallon, Loyola University Maryland
  • Virpi Tuunainen, Aalto University
  • Yi Wang, Southwestern University of Finance and Economics

Panels, Professional Development Workshops and Paper-a-Thon