I am Amber Xiaoyan Liu. I am an Assistant Professor in Information Systems & Analytics department at the Leavey School of Business, Santa Clara University. 

My research focuses on developing and applying data-driven approaches to solve practical problems that arise in today’s business world, as well as providing insights to relevant stakeholders. I am interested in a wide range of topics including design and operations of online marketplaces, revenue management of innovative business models, and operations-finance interface. In my recent research, I primarily use machine learning and causal inference to facilitate informed decision making, predict agent behavior, and understand the societal impact of policy making.

Link to CV: [CV]



Operational Distortion: Compound Effects of Short-termism and Competition, with W. Schmidt. Management Science 68(8):5907-5923.

Working Papers:

Personalized Recommendation System Design for an Online B2B Platform, with V. Gaur

  • Under Review
  • Finalist of INFORMS 2021 Innovative Applications in Analytics Award

The Impact of the Opportunity Zone Program on Residential Real Estate, with R. Bekkerman, M. Cohen, J. Maiden, and D. Mitrofanov.

  • Under Review

Bonus Competition in the Gig Economy, with L. Chen, Y. Cui, and J. Liu. 

  • In Preparation

The Effect of Operational Efficiency on Membership and Usage in an Online B2B Marketplace: An Empirical Analysis, with R. Allu and V. Gaur.

[Google Scholar Citations]


My teaching strives to bring hands-on experiences in predictive modeling, and foster a deep understanding of operations and supply chain management. I am teaching the following courses at Santa Clara University.

  • OMIS 108 Operations Management
  • OMIS 115 Predictive Analytics


Amber Xiaoyan Liu


Lucas Hall 321 W

500 EI Camino Real

Santa Clara, CA 95053