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. Aspirationally, my research attempts to better humanity.


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