Professor Sulin Ba holds a Ph.D. from the University of Texas at Austin. Her current research interests include the effective provision of e-service, online price dispersion, digital health communities, and pricing of virtual goods in virtual worlds. She has published in Management Science, Information Systems Research, MIS Quarterly, Journal of Management Information Systems, Production and Operations Management, Decision Support Systems, and other academic journals. She is a recipient of the 2010 Best Information Systems Publications Award (Given by the Association for Information Systems and its Senior Scholars Consortium), and Year 2000 MIS Quarterly Best Paper Award. She is a senior editor for Production and Operations Management. She also serves on the editorial board of Decision Support Systems.

Professor Sudip Bhattacharjee is an Associate Professor in the School of Business, University of Connecticut. His research interests include information systems economics, e-business, digital goods and markets, and closed loop supply chains. He serves as an Associate Editor for Information Systems Research, guest AE for MIS Quarterly and Decision Sciences Journal. He has extensive research consulting experience with Fortune 100 firms on data-analytics based decision making in IT and operations. His research has appeared in premier journals such as Management Science, INFORMS Journal on Computing, Journal of Business, Journal of Law and Economics, ACM Transactions, Journal of Management Information Systems, Decision Support Systems, IEEE Transactions, and others. His research has been highlighted in various media outlets such as Connecticut Public Television, Business Week, Washington Post, San Francisco Chronicle, Der Spiegel, Christian Science Monitor, slashdot.org, Business 2.0 Web Guide, and others.

Professor Shu He’s research interests focus on studying the economics of information systems (IS), with an emphasis on the impact of emerging technologies on firms and society using econometric analysis, machine learning techniques, and randomized field experiment tools. Her research consists of three streams: 1) social media, 2) digital platform, 3) societal implication of IT. Toward these objectives, she has published a number of papers in premier IS journals, including Information Systems Research, MIS Quarterly, Journal of Management Information Systems. In addition, her research has been supported by external grants. Specifically, she was a Co-PI for the National Science Foundation Award on Secure & Trustworthy Cyberspace from 2017-2019 (total award amount: $422,237) and a recipient of the NET Institute grant in 2019. She is also a recipient of the UConn School of Business best paper award in 2021 and the best research-in-progress runner-up award of the 2017 Workshop on Information Technologies and Systems.

Professor Xinxin Li’s research interests are in economics of information systems with an emphasis on the implications of new technologies to consumer welfare, firm pricing, and competitive strategies. Her research is interdisciplinary and spans information systems, marketing, economics, and sociology. She employs both game theoretic modeling and econometric analysis in her research. Her work has been published in Management Science, MIS Quarterly, Information Systems Research, Marketing Science, Strategic Management Journal, Production and Operations Management, and Journal of Management Information Systems, andothers. She is a recipient of ISR Best Reviewer Award, CIST Best Paper Award, and UConn School of Business 5-year Research Excellence Award, Best Paper Award, and Ackerman Scholar Award. She serves as a Senior Editor and was an Associate Editor for MIS Quarterly. She received her Ph.D. from University of Pennsylvania and her B.E. from Tsinghua University.

Professor Chen Liang’s research interests focus on 1) gig economy; 2) digital platforms; 3) artificial intelligence; 4) gender wage gap and bias. Her studies leverage a variety of methodologies including econometrics, field and lab experiments, machine learning, and analytical modeling. Her work has been published in Management Science, Information Systems Research, and Production and Operations Management. She is a recipient of the Workshop on Information Systems and Economics (WISE) Best Paper Award, Hawaii International Conference on System Sciences (HICSS) Best Paper Award, and China Summer Workshop on Information Management (CSWIM) Best Paper Award. She has also received multiple research grants, such as a National Science Foundation dissertation improvement grant, Center for the Study of Economic Liberty Research Grant, and three NET Institute grants.

Professor Bowen Lou’s research primarily lies in economics of digitization and innovation, including, but not limited to, topics on artificial intelligence, big data analytics, digital platform, FinTech, healthcare IT, and social media. He works on the new waves of digitization spanning a wide spectrum of industry sectors. His studies leverage a variety of methodologies including econometrics, machine learning and network analysis. His research work has been published or accepted in premier academic journals and conferences such as Management Science, Management Information Systems Quarterly, and International Conference on Information Systems.

Professor Jing Peng’s research focuses on business analytics in online platforms, such as social media, ecommerce, gig economy, and professional service platforms. He is also actively involved in developing novel econometric methods, such as durational attrition models, panel count models with sample selection, and endogenous mediation models. His earlier research in machine learning focuses on recommender systems. He has published in Journal of Marketing Research, Information Systems Research, and ACM Transactions on Management Information Systems. His research has won multiple awards, including the INFORMS Social Media Analytics Student Best Paper Runner-up award and the WISE best paper award.

Professor Jan Stallaert’s research interests are focused on competition in online retailing and the design of new market mechanisms enabled by Information Technology. He uses analytical economic modeling as well as empirical methods in studying online strategies for the firm. His research has been published in journals such as Management Science, Information Systems Research, Journal of Production and Operations Management, Discrete Applied Mathematics, among others. He was the co-recipient of the prize “Best IS Publication in 2010” awarded by the Association for Information Systems (AIS).

Professor Ramesh Shankar’s research focuses on strategic pricing and licensing of innovative digitally enabled durable goods such as electronic gadgets, and information goods such as software, music and movies, and the environmental implications of product policy, using game theory and analytical economic modeling. Another stream of his research uses empirical methods and Big Data to study behavioral analytics in electronic commerce and online communities, and its implications for design of online platforms. He has consulted for GE, Morgan Stanley, and other Fortune 100 companies. His research has been published in leading journals such as Information Systems Research, MIS Quarterly, ACM Transactions, Marketing Science, Decision Sciences, and Decision Support Systems, among others. His work on Corporate Social Responsibility and the Optimal Regulation of Greenwashing was the 2019 Best Paper Finalist at the Decision Sciences Journal.

Professor Alex Tung’s current research interests are focused on e-business innovations and online marketing mechanism design. His research has been published in journals such as Management Science, Decision Sciences, Journal of Management Information Systems, Information & Management, Communications of the ACM, Decision Support Systems, European Journal of Operational Research, Journal of Multi-Criteria Decision Analysis, among others.