Jun Li

Associate Professor of Technology and Operations at Stephen M. Ross School of Business

Schools

  • Stephen M. Ross School of Business
  • University of Technology Sydney

Expertise

Links

Biography

Stephen M. Ross School of Business

Research Interests
Empirical Operations Management, Business Analytics, Pricing and Revenue Management, Supply Chain Risk Management, Patient-Centered Healthcare Choices, Airline, Hotel, Retailing, High-Tech, Health Care

Jun Li's main research interests are empirical operations management and business analytics, with special emphases on revenue management, pricing, consumer behavior, economic and social networks. She has worked extensively with large-scale data, including transactions, pricing, inventory and capacity, consumer online search and click stream data, supply chain relationships and disruptions, clinical and healthcare claims. She has won several best paper awards and dissertation award. Her work has also enjoyed coverage by The Economist, New York Times and Forbes. Jun holds a Ph.D. in Operations Management from The Wharton School, University of Pennsylvania, and a Bachelor in Operations Research and Industrial Engineering from Tsinghua University, China.

Research Under Review/Revision

1. Competition-Based Dynamic Pricing in Online Retailing: A Methodology Validated with Field Experiments. 2017. Management Science. Forthcoming. (with Marshall Fisher and Santiago Gallino).
2. Price to Compete...With Many: How to Identify Price Competition in High Dimensional Space. 2017. Management Science. Forthcoming. (with Serguei Netessine, Sergei Koulayev).
3. Using Patient-Centric Quality Information to Unlock Hidden Health Care Capabilities. Under Review (2nd Round). (with Guihua Wang, Wallace Hopp, Franco Fazzalari and Steven Bolling)
4. Pros vs Joes: Agent Pricing Behavior in the Sharing Economy. Major Revision. (with Antonio Moreno, Dennis Zhang)
5. Does Corporate Social Responsibility Benefit Society? Major Revision. (with Andrew Wu)
6. Discrimination with Incomplete Information in the Sharing Economy: Field Evidence from Airbnb. Major Revision. (with Ruomeng Cui and Dennis Zhang)
7. Risky Suppliers or Risky Supply Chains? An Empirical Analysis of Sub-tier Supply Network Structure on Firm Performance in the High-Tech Sector. Under Review. (with Ravi Anupindi, Iris Wang)
8. Welfare Implications of Congestion Pricing: Evidence from SFpark. Under Review. (with Pnina Feldman and Hsin-Tien Tsai)
9. A Causal Tree Approach for Personalized Health Care Outcome Analysis. (with Guihua Wang and Wallace Hopp)

Media Coverage

Honors and Awards

  • NSF Grant: Gaining Visibility into Supply Network Risks with Large-Scale Textual Analysis. 2015-2017.
  • Winner, INFORMS Revenue Management and Pricing Section Practice Award, 2015.
  • Finalist, Management Science Best Paper in Operations Management published in 2012 to 2015.

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