Keynote Speakers
Juan FENG is Hon Hai chair professor in School of Economics and Management & Shenzhen International Graduate School, Tsinghua University, China. She holds a PhD in Business Administration from Pennsylvania State University, with a dual title in Operations Research. Her research interests are in economics of Information systems, focusing on both analytical modeling and empirical analysis. She has been working on topics such as keyword auctions, advertising and pricing, the economics of online review, block chain and data ownership, etc. She serves as Senior Editor for Information Systems Research, and serves on the Editorial Boards of Journal of Management Information Systems and International Journal of Electronic Commerce. She has published in such journals as Information Systems Research, Journals of Management Information Systems, Management Science, Marketing Science, Production and Operations Management, and Informs Journal on Computing, and others. She serves as vice president of the Association for Information Systems.
Prof. Michael Zhang is the Wei Lun Professor of Business AI at Department of Decisions, Operations and Technology at The Chinese University of Hong Kong. He is the founder of Super Quantum Fund, a quantitative hedge fund that develops AI algorithms for quantitative investing. Prof. Zhang studies how digital technologies change marketing and finance. His research has received more than 10,000 citations and has appeared in American Economic Review, Management Science, Journal of Marketing, MIS Quarterly, Information Systems Research, Journal of MIS, etc. He serves as a Senior Editor for MIS Quarterly and was previously an SE for Information Systems Research and an AE for Management Science. He is the author of the book Digital Quantum Leap: Strategies and Tactics of Digital Transformation, and his new book, Navigating the Factor Zoo: The Science of Quantitative Investing, will be published in October 2024.
Yulin Fang is a Professor of Innovation and Information Management and Director of the Institute of Digital Economy and Innovation (IDEI) at HKU Business School. His research interests include digital innovation, digital entrepreneurship, digital transformation, platform ecosystems, and e-commerce/social media.Yulin has published over 70 research articles in renowned information systems and management journals, including MIS Quarterly (MISQ), Information Systems Research (ISR), Journal of Management Information Systems (JMIS), Journal of the Association for Information Systems (JAIS), Strategic Management Journal (SMJ) , Journal of Management Studies (JMS), Organizational Research Methods (ORM), Journal of Operations Management (JOM) , Production and Operations Management (POM), and Journal of Organizational Behavior (JOB) among others. He has regularly served as a track co-chair for International Conference on Information Systems (ICIS) and Pacific Asia Conference on Information Systems (PACIS) since 2013.
Dr. Chong (Alex) Wang is a Professor in the Department of Information Systems at the College of Business at the City University of Hong Kong. His research explores the impact of information technology on the generation, sharing, and utilization of information across various business and social contexts. His studies encompass a wide range of topics, including social media, online networks, the platform economy, financial technology, artificial intelligence, data governance, and digital privacy. His scholarly work advances the research frontier in these areas, addresses practical challenges faced by practitioners, and employs multiple methodologies to gather empirical evidence. His research has been published in leading academic journals such as Information Systems Research, MIS Quarterly, and Management Science. Professor Wang serves as associate editor for prestigious IS journals like MIS Quarterly, Information and Management, and Information Systems Journal.
Yong Ge is an Associate Professor in the Eller College of Management, The University of Arizona. He earned his PhD in Management Science and Information Systems from Rutgers University. His research focuses on data mining, machine learning, recommender systems and business analytics. He serves as Associate Editor for MIS Quarterly. He has published in such journals as MIS Quarterly, IEEE Transactions on Knowledge and Data Engineering, and others.
Sutirtha (“Suti”) Chatterjee is a full professor of information systems (IS) at the University of Nevada, Las Vegas. He received his Ph.D. in MIS from Washington State University in 2008. Prior to pursuing his Ph.D., he received a bachelor’s degree in computer science and engineering from Jadavpur University, India. Suti’s research interests are information systems ethics, IT and innovation, electronic markets, and mobile work. He currently serves as a senior editor at both JAIS (“A+” journal on LEE Journal List) and ISJ (“A” journal on the LEE Journal List). He also serves as an associate editor at Decision Sciences Journal (“A” journal on the LEE Journal List) and as an editorial review board member at Information Systems Research (“A+” journal on the LEE Journal List) and the Journal of Strategic Information Systems (“A-“ journal on the LEE Journal List).
Annabelle Zhang is an accomplished and seasoned fund manager with extensive experience and expertise in the field of investment management. Her professional acumen and strategic insights have been instrumental in navigating complex financial markets and delivering robust investment performance. she holds a PhD in Fintech Technology from Hong Kong Polytechnic University. Her doctoral research is centered on the application of artificial intelligence (AI) in portfolio management, with a specific focus on the utilization of multiple reinforcement learning algorithms for dynamic factor investing within the Hong Kong market. Her work provides valuable and novel insights into the potential of AI to optimize investment decision-making processes and enhance overall portfolio performance. Through her research, she has explored the intricacies of integrating advanced AI techniques with traditional investment strategies, thereby advancing the field of fintech and contributing to the broader understanding of how technology can be leveraged to improve financial outcomes.