Biography
Dr. Xue Bai is a Professor of Marketing and Management Information Systems and the Milton F. Stauffer Senior Research Fellow. She joins the Fox School from the University of Connecticut, where she had served since 2007 as a faculty member in the School of Business.
Bai’s research applies data mining and mathematical modeling methods to problems in online platforms and social media. She has led courses on similar topics. She publishes in top journals in information systems and management science. She is a senior editor of the Production and Operation Management journal and an associate editor of Decision Support Systems, and has served as an associate editor of Information Systems Research for many years.
Bai earned her PhD degree from Carnegie Mellon University and her BS degree from Tsinghua University.
Research Interests
- Data analytics and data mining
- Mathematical modeling and optimization
- Online social networks and online platforms
Courses Taught
Number | Name | Level |
|---|---|---|
SCM 3507 | Data Management and Analytics for Business Strategies | Undergraduate |
STAT 1102 | Quantitative Methods for Business II | Undergraduate |
Selected Publications
Recent
Li, Z., Ge, Y., & Bai, X. (2021). What will be popular next? Predicting hotspots in two-mode social networks. MIS Quarterly: Management Information Systems, 45(2), 925-966. doi: 10.25300/MISQ/2021/15365.
Nunez, M., Bai, X., & Du, L. (2021). Leveraging Slack Capacity in IaaS Contract Cloud Services. Production and Operations Management, 30(4), 883-901. doi: 10.1111/poms.13283.
Bai, X., Marsden, J., Ross, W., & Wang, G. (2020). A note on the impact of daily deals on local retailers’ online reputation: Mediation effects of the consumer experience. Information Systems Research, 31(4), 1132-1143. doi: 10.1287/isre.2020.0935.
Bhattacharya, P., Phan, T., Bai, X., & Airoldi, E. (2019). A coevolution model of network structure and user behavior: The case of content generation in online social networks. Information Systems Research, 30(1), 117-132. doi: 10.1287/isre.2018.0790.