Information Systems and Electronic Commerce Research

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,, Business 2.0 Web Guide, and others.

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 leverages empirical data to study the societal and economic impact of emerging phenomena fueled by technology innovations in online platforms, including e-commerce, social media, gig economy, and digital health platforms. Beyond empirical research, he has a deep interest in developing novel methodologies to address common statistical challenges facing empirical researchers. His work has been published or accepted by premier journals such as Information Systems Research, Journal of Marketing Research, Management Science, and MIS Quarterly. His research has won multiple best paper awards, including WISE best paper award, INFORMS Social Media Analytics Student Best Paper Runner-up award, and INFORMS eBusiness Section Best Paper Runner-Up award. He is a recipient of the INFORMS Information Systems Society Gordon B. Davis Young Scholar Award.

Professor Jaeung Sim aims to offer insights into the roles of information technology in 1) shaping consumer behaviors and 2) promoting sustainable operations by leveraging quantitative techniques, including econometrics, field experiments, image processing, and natural language processing. As an interdisciplinary researcher, he has collaborated with researchers from various disciplines, such as computer science, economics, energy, information systems, marketing, media management, medicine, operations management, political science, and statistics. Thus far, his research has appeared in academic journals and conferences from marketing (Marketing Science), information systems (MIS Quarterly, Journal of the AIS, Information Systems Frontiers, ICIS), economics (Journal of Economic Behavior & Organization, Energy Economics), and computer science (ICWSM).

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.

Professor Karen Xie is the endowed Betty and Fritz Knoebel Fellow and Associate Professor of Service Analytics at the Daniels College of Business, University of Denver. She works on technology-driven innovations in the service industry, with a focus on housing markets, home sharing, and FinTech. Karen’s work is primarily published at Management Science, among other premier information systems journals. Especially notable is her research on Airbnb, which helped Denver City Council pass game-changing legislations on home sharing markets in 2016. She also provides expert opinion on home sharing and housing markets to popular press venues including New York Times, Forbes, NBC News, and Chicago Tribune. Her work garnered research awards and/or financial support from highly prestigious organizations such as Zillow, Meta (Facebook), Marketing Science Institute, NET Institute, Wharton Customer Analytics Initiative, ICIS, and CIST. Karen is a popular speaker and has given more than 70 talks to a wide spectrum of industry, government, and academic audience. She herself is a co-founder and data scientist of HomeLab Technologies, a data-driven vacation rental investment company, and overseeing a multi-million portfolio fast growing in popular destinations across North America.