(in speech time order):
H. Kenny Cheng, Ph.D.
Chair of Information Systems and Operations Management Department, University of Florida, USA
Information Systems Research (SSCI-Q1)
Keynote: "The rise of empirical online platform research in the new millennium"
Time: 10/20 Friday 8:20-9:20am
ABSTRACT: Online platforms have emerged as a dominant business model in numerous industries in the new millennium. In light of the substantial and burgeoning body of empirical platform research, this article synthesizes extant studies and identifies the evolution of underlying research methodologies and topics. Building upon a database of 860 empirical online platform papers in premier journals during the first two decades of the new millennium, this article presents a categorization framework based on the online platform type (including search platforms, e-commerce platforms, online communities, and mobile platforms) and research perspective (including platform participants, platform orchestrators, and platform ecosystems). We provide a critical review of noteworthy trends and highlight directions for future research in each category of the proposed framework. Finally, a comprehensive bibliometric analysis is conducted to visualize and track scholarship in empirical online platform research.
BIOSKETCH: Kenny is John B Higdon Eminent Scholar at the Warrington College of Business, University of Florida, USA. Professor Cheng currently teaches information technology strategy, electronic commerce and supply chain management, and object oriented analysis and design. His research interests focus on analyzing the impact of Internet technology on software development and marketing, and information systems policy issues, in particular, the national debate on network neutrality. Prior to joining UF, he served on the faculty at The College of William and Mary from 1992 to 1998.
Guy Gable, Ph.D.
Professor, School of Information Systems
Queensland University of Technology (QUT), Australia.
The Journal of Strategic Information Systems (SSCI-Q1)
Keynote: "Information systems research strategy"
Time: 10/20 Friday 9:50-10:50am
ABSTRACT: This presentation has two aligned aims: (i) to espouse the value of a strategic research orientation for the Information Systems Discipline; and (ii) to facilitate such a strategic orientation by recognising the value of programmatic research and promoting the publication of such work. It commences from the viewpoint that Information Systems (IS) research benefits from being strategic at every level, from: individual researcher, to research program, to research discipline, and beyond. It particularly advocates for more coordinated programs of research emphasising real-world impact, while recognising that vibrant, individual-driven, and small-team research within broad areas of promise, is expected to continue forming the core of the IS research ecosystem. Thus, the overarching aim is the amplification of strategic thinking in IS research, with emphasis on research programs as a main strategic lever.
BIOSKETCH: Guy G. Gable (Ph.D. Bradford, MBA Ivey, B. Comm. Alberta) is Professor, School of Information Systems, Queensland University of Technology (QUT), Australia. A charter member of The Journal of Strategic Information Systems (JSIS) Editorial Board,
he served as the JSIS Editor-in-Chief during 2019-2022. As a Fellow of the Association for Information Systems (AIS) since 2016 (https://aisnet.org/) and member of the AIS College of Senior Scholars (https://aisnet.org/page/SeniorScholars), he coordinates engagement with the Information Systems (IS)
academic discipline. A fervent proponent of IS doctoral consortia, 2015 he led the CAIS report “The Role of the Doctoral Consortium” which represents doctoral consortia as unique to IS – a signature pedagogy. He’s been instrumental in growing IS research capacity in Pacific-Asia, having supervised over 30 PhDs now pursuing successful academic careers in Australia, Singapore, Taiwan, Malaysia, Kuwait, Saudi Arabia and China (and USA), including two ACPHIS Thesis Medallists. Amongst the most successful IS Australian Academics with ARC grant scheme, he’s attracted several million $AUD. He’s championed IS/AIS in Pacific-Asia, originated the Asia Pacific Directory of IS (merged with other world directories as AIS Faculty Directory), brought the 3rd PACIS to QUT, and initiated the 1st PACIS doctoral consortium. A Charter Member, he’s held a range of AIS roles. He’s served on boards of MISQ, JAIS, EJIS and others. He led the 2003-2006 AIS sponsored study “The Information Systems Academic Discipline in Pacific Asia” (special issue CAIS’07), that spawned a book “The Information Systems Academic Discipline in Australia” (ANUePress’08). 2013 he received the 1st “PACIS Plaque of Appreciation” for lifetime contribution.
Patrick Y.K. Chau
Provost and Chair Professor in Information Systems and Business Analytics at Beijing Normal University-Hong Kong Baptist University United International College (UIC), China.
Information & Management (SSCI-Q1)
Keynote: "A study on the use of online collaboration tools for mutual aid in emergencies"
Time: 10/20 Friday Dinner 8:00-9:00pm
ABSTRACT: In the past several decades we see more and more disasters around the world affecting people’s living and even their lives. How IT tools and digital technologies can play a role and provide help in these often-emergency situations, in my opinion, is an important research topic for information systems researchers. This talk reports on one recent study on this topic.
This talk first gives an overview of information systems research studies on how digital technologies such as online collaboration tools can provide mutual aid during emergencies. It then goes on to present a recent study that specifically looks at how online collaboration tools enabled and supported mutual aid during the 2022 Shanghai COVID-19 lockdown using a technology affordances perspective. Through the findings of the study, it provides insight into how digital technologies may be leveraged for effective emergency responses.
BIOSKETCH: Professor Chau received his PhD in Business Administration from the University of Western Ontario, Canada. He conducts research in IT adoption and electronic commerce and has more than 100 papers published in prestigious journals in the Information Systems discipline. He has been on Stanford/Elsevier’s List of Top 2% Scientists worldwide since its first release. As of August 2023, his Google Scholar citations exceed 27,400 with an H-index of 62 and, in Scopus, more than 11,700 with an h-index of 43. He is the former Editor-in-Chief of Information and Management, an A* journal in the Australia’s ABDC Journal List and a Level 3 journal in the UK’s ABS Journal List. Under his editorship, the 2-year impact factor of the Journal has grown from 1.84 in 2014 to 10.33 in 2021. He is also a Senior Editor of the Journal of the Association for Information Systems, which is an A* journal in the Australian ABDC Journal List and a 4* journal in the UK’s ABS Journal List. He was Co-editor of Electronic Commerce Research & Applications and Global Editor of DATABASE for Advances in Information Systems. He received AIS Fellow Award in 2013 and was President of the Association for Information Systems (AIS) in 2021-2022. He was appointed “Chang Jiang Scholars Programme” Chair Professorship by the Ministry of Education in 2010. He has also held Padma and Hari Harilela Professorship in Strategic Information Management at The University of Hong Kong, Qiushi Chair Professorship at Zhejiang University and Lee Dak Sum Chair Professor in Information Systems and Operations Management at the University of Nottingham Ningbo China.
Galit Shmueli, Ph.D.
Distinguished Professor, Institute of Service Science
National Tsing Hua University, Taiwan
INFORMS Journal on Data Science
Keynote: "How to "improve" prediction using behavior modification"
Time: 10/21 Saturday Dinner 8:00-9:00pm
ABSTRACT: Many internet platforms that collect behavioral big data use it to predict user behavior for internal purposes and for their business customers (e.g., advertisers, insurers, security forces, governments, political consulting firms) who utilize the predictions for personalization, targeting, and other decision-making. Improving predictive accuracy is therefore extremely valuable. Data science researchers design algorithms, models, and approaches to improve prediction. Prediction is also improved with larger and richer data. Beyond improving algorithms and data, platforms can stealthily achieve better prediction accuracy by "pushing" users' behaviors towards their predicted values, using behavior modification techniques, thereby demonstrating more certain predictions. Such apparent "improved" prediction can unintentionally result from employing reinforcement learning algorithms that combine prediction and behavior modification. This strategy is absent from the machine learning and statistics literature. Investigating its properties requires integrating causal with predictive notation. To this end, we incorporate Pearl's causal do(.) operator into the predictive vocabulary. We then decompose the expected prediction error given behavior modification, and identify the components impacting predictive power. Our derivation elucidates implications of such behavior modification to data scientists, platforms, their customers, and the humans whose behavior is manipulated. Behavior modification can make users' behavior more predictable and even more homogeneous; yet this apparent predictability might not generalize when customers use predictions in practice. Outcomes pushed towards their predictions can be at odds with customers' intentions, and harmful to manipulated users.
BIOSKETCH: Galit Shmueli is Tsing Hua Distinguished Professor at the Institute of Service Science, and Institute Director at the College of Technology Management,
National Tsing Hua University, Taiwan. Before joining NTHU, she was the SRITNE Chaired Professor of Data Analytics and Associate Professor of Statistics & Information Systems at the Indian School of Business,
and tenured Associate Professor at University of Maryland's Smith School of Business. She is the inaugural editor-in-chief of the INFORMS Journal on Data Science.
Dr. Shmueli's research focuses on statistical and data mining methods for contemporary data structures, with a focus on statistical strategy – issues related to how data analytics are used in scientific research.
Her main fields of application are information systems and healthcare, with a focus on human behavior. She has published papers in the statistics, information systems, management, and marketing literature. She has authored over 100 journal articles, books, and book chapters, and is on the editorial boards of several journals. She presents her work nationally and internationally.
Matthieu J. Guitton, Ph.D., FRAI
Full Professor, Université Laval (Quebec City, QC, Canada),
Bualuang ASEAN Professor Chair, Thammasat University (Bangkok, Thailand)
Computers in Human Behavior (SSCI-Q1)
Keynote: "Tools or partners: Integrating AI in business and healthcare between fear and opportunities"
Time: 10/22 Sunday 8:20-9:20am
ABSTRACT: The rise of AI is revolutionizing the way we see technology and interact with it. Although recent debates have mostly been centered on the impact of generative AI in education, the societal consequences of the development of these new technologies will touch all aspects of our daily lives. However, the reality of AI is more complex, with both generative AI, analytical AI, or task-specific AI, and with a potential reach extending far beyond the field of education, to encompass among others business, finance, or healthcare. How AI will impact our modern societies, both at the local and global levels? Can AI become a game changer, for the better or for the worse? What are the challenges and obstacles that prevent the implementation of AI in our societal systems? What opportunities could AI bring to better our societies? This presentation will explore the current perceptions of AI and the ways they could be integrated in a socially responsible way, and will suggest paths for solutions based on our representation of AI as either tools, or potential partners.
BIOSKETCH: Matthieu J. Guitton, Ph.D., FRAI, is a Full Professor at the Faculty of Medicine and Full Professor at the Graduate School of International Studies at Université Laval (Quebec City, QC, Canada), Bualuang ASEAN Professor Chair at Thammasat University (Bangkok, Thailand), Fellow of the Royal Anthropological Institute, and Senior Researcher/Group Leader at the CERVO Brain Research Center (Quebec City, QC, Canada). He is the Editor-in-Chief of the Computers in Human Behavior family of journals, which includes Computers in Human Behavior (the world leading journal in the field of cyberpsychology), Computers in Human Behavior Reports, and Computers in Human Behavior: Artificial Humans, and serves on several other editorial boards, such as Acta Psychologica (where he acts as the Psychology and Technology Section Editor) and Current Opinion in Behavioral Sciences. A graduate from the University of Rouen and Université Pierre et Marie Curie - Paris VI, he obtained his PhD from the University of Montpellier (France) and was a Koshland Scholar/Postdoctoral Fellow of Excellence at the Weizmann Institute of Science (Israel). He has published over 120 research papers, book chapters, or editorials on subjects ranging from cyberpsychology and cyberbehavior to the societal impacts of technology. He has been invited speaker or guest lecturer by numerous universities across the world, such as Embry-Riddle Aeronautical University (USA), the University of Pittsburgh (USA), the Russian Academy of Science, the Bulgarian Academy of Science, Hong Kong Baptist University, or Renmin University of China.
J. Christopher Westland, Ph.D.
Professor, Department of Information and Decision Sciences
University of Illinois, Chicago, USA
Electronic Commerce Research (SSCI-Q3)
Keynote: "Three studies of blockchain-enabled markets"
Time: 10/22 Sunday 9:50-10:50am
ABSTRACT: This presentation summarizes my research on liquidity and fractal price cycles in blockchain-enabled asset
markets. The first 1 and second 2 studies investigate cryptocurrency liquidity in the Kraken market. Liquidity
is a latent measure of a market’s ability to address the demands of impatient traders, and is an important
feature of cryptocurrencies that aim to be cash substitutes. I use Glosten’s model to compute liquidity
for Bitcoin trading and compares liquidity over the most widely traded cryptocurrencies. These studies
showed that price had a significant influence on liquidity, while other factors like volume, fungibility and
price-elasticity exert only marginal influence. Literature in equity markets – such as Elliott wave theory
employed by several successful hedge funds; and Mandelbrot / Taleb fractal analysis – suggests that behavioral
feedback loops result in predictable price cycles. Both fractal and Elliott wave price movements can be
modeled as wavelets, and these can, potentially, predict future price movements and support profitable
trading. Extending the prior line of study, I analyzed price movements in non-fungible token (NFT) markets
through wavelets analysis 3 . The research found weak linkages between markets and price cycles in periods
of around 2, 4, 8, 16 and 32 hours with an additional 7 day cycle. Such cycles represent periods where the
activity in another market is coupled (coherence) to the NFT market at a statistically significant level and
may potentially be used for price prediction and liquidity assessment.
BIOSKETCH: Chris Westland is a Professor in the Department of Information & Decision Sciences at the University of Illinois – Chicago and an Overseas Chair Professor at Beihang University, China. He received a Ph.D. in
Computers and Information Systems from the University of Michigan.
He is a certified public accountant in the U.S. and a consultant in technology law in the US, Europe, Latin America and Asia. He has advised on patent, valuation and technology strategy for numerous technology firms. He published numerous
academic papers and nine books: Audit Analytics (Springer 2020), Structural Equation Modeling (Springer 2015 and 2nd ed. 2019); Global Electronic Commerce (MIT Press 2000); Global Innovation Management (Palgrave Macmillan 2nd ed 2017);
Red Wired: China’s Internet Revolution (Marshall Cavendish, 2010); Financial Dynamics (Wiley 2003); Valuing Technology (Wiley 2002) and Statistical Auditing with R (forthcoming 2018).
He was on the faculties at the University of Michigan, University of Southern California, Hong Kong University of Science and Technology, Tsinghua University, University of Science and Technology of China, Harbin Institute of Technology, and
other academic institutions.
Currently, he is the Editor-in-Chief of Electronic Commerce Research (Springer) and have served on editorial boards of several other information technology journals including Management Science, ISR, ECRA, IJEC, and others.
Robert M. Davison, Ph.D.
Professor, Department of Information Systems
City University of Hong Kong, SAR China
Information Systems Journal (SSCI-Q1)
Keynote: "The cultural values of scholarly journals and their implications for various stakeholders"
Time: 10/22 Sunday 10:50-11:50am
ABSTRACT: In this keynote, I will introduce the Information Systems Journal primarily from the perspective of its values. I will use this opportunity to reflect on how Information Systems can contribute to a better world, for a variety of human and non-human stakeholders. Our values reflect the care and trust that we develop for a variety of stakeholders, notably authors, reviewers and members of the editorial board. They also reflect the integrity that is central to the review process, including the way we allocate and appreciate resources. As a journal, we are part of a community to which we contribute through the papers we accept, but also through the feedback that we provide to authors. Finally, I will examine how these ideas can be extended to care for the environment, perhaps the most pressing issue for humanity at this moment in time given both the immediate pressures of climate change and the more remote pressures of resource (over)exploitation.
BIOSKETCH: Robert M. Davison is a Professor of Information Systems at the City University of Hong Kong. His research focuses on the use and misuse of information systems. He is particularly known for his scholarship in the domain of action research. Within the AIS, Robert chaired the research ethics committee for many years, and is currently convenor of the College of Senior Scholars. Robert currently chairs the IFIP WG 9.4 (The Implications of Information and Digital Technologies for Development) and is the Editor-in-Chief of the Information Systems Journal and the Electronic Journal of Information Systems in Developing Countries. As a researcher and as an editor, he seeks to promote both an inclusive and an indigenous perspective to research.