Xue Bai

Profile Picture of Xue Bai

Xue Bai

  • Fox School of Business and Management

    • Statistics, Operations, and Data Science

      • Professor

      • Stauffer Senior Research Fellow


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




SCM 3507

Data Management and Analytics for Business Strategies


STAT 1102

Quantitative Methods for Business II


Selected Publications


  • 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.