Research Papers


Publications

1. Yixin (Iris) Wang, Jun Li, Andrew Wu, and Ravi Anupindi. 2021. When Ignorance is Not Bliss: An Empirical Analysis of Sub-tier Supply Network Structure on Firm Risk. Management Science, 67(4), 2029-2048.

  • Featured Article
  • Finalist, 2024 Management Science Best Paper Award in Operations Management
  • Winner, 2022 M&SOM iFORM Special Interest Group (SIG) Best Paper Award
  • Finalist, 2017 MSOM Student Paper Competition
  • Honorable Mention, POMS College of Supply Chain Management 2016 Best Student Paper Competition
  • Selected for 2016 MSOM Supply Chain Management Special Interest Group (SIG) Conference

2. Yixin (Iris) Wang, Jun Li, and Ravi Anupindi. 2023. Manufacturing and Regulatory Barriers to Generic Drug Competition: A Structural Model Approach. Management Science, 69(3), 1449-1467.

3. Xinyu Liang, Yixin (Iris) Wang, and Jun Li. 2024. Examining Behavioral Biases in Discretionary Pricing: Evidence from Field and Lab Experiments. Production and Operations Management, 33(6), 1335-1353.

4. Yixin (Iris) Wang, George Ball, Gopesh Anand and Hyunwoo Park. 2025. Obligatory Responses to FDA Inspection Outcomes and Future Drug Shortages. Manufacturing and Service Operations Management, 27(3), 789-807.

5. Zhaohui (Zoey) Jiang, John Silberholz, Yixin (Iris) Wang, Deena Costa, and Michael Sjoding. 2024. Can Employees’ Past Helping Behavior be Used to Improve Shift Scheduling? Evidence from ICU Nurses. Forthcoming at Management Science.

  • 3rd Place, 2022 POMS College of Healthcare Operations Management (CHOM) Best Paper Competition
  • Honorable Mention, 2022 INFORMS Behavioral Operations Management (BOM) Best Working Paper Competition


Working Papers

6. Anqi (Angie) Wu and Yixin (Iris) Wang. 2024. The More Monitoring, the Better Quality? Empirical Evidence from the Generic Drug Industry.

  • Selected for 2021 MSOM Healthcare Operations Special Interest Group (SIG) Conference

7. Kejia Hu, Xilin Li, and Yixin (Iris) Wang. 2024. More or Less: How Information Richness Affects Our Decision Consistency.