Hi, I'm Dennis Zhang.

I am an assistant professor of Operations and Manufacturing Management at the Olin Business School. My research focuses on data-driven operations in digital economy and platforms. I implement field experiments and use observational data to improve operations.

Research

Link to SSRN, Google Scholar

Publications

  1. 1. "The Value of Pop-Up Stores on Retailing Platforms: Evidence from a Field Experiment with Alibaba," with Hengchen Dai and Lingxiu Dong, Management Science (2019).
  2. 2. "The Long-term and Spillover Effects of Price Promotions on Retailing Platforms: Evidence from a Large Randomized Experiment on Alibaba," with Hengchen Dai and Lingxiu Dong, Management Science (2019).
  3. 3. "Peer Bargaining and Productivity in Teams: Gender and the Inequitable Division of Pay," with Lamar Pierce and Laura W. Wang, Manufacturing & Service Operations Management (2019).
  4. 4. "Prosocial Goal Pursuit in Crowdfunding: Evidence from Kickstarter," with Hengchen Dai, Journal of Marketing Research (2018).
  5. 5. "Reducing Discrimination with Reviews in the Sharing Economy: Evidence from Field Experiments on Airbnb," with Ruomeng Cui and Jun Li, Management Science (2018).
  6. 6. "Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon," with Ruomeng Cui and Achal Bassamboo, Management Science (2017).
  7. 7. "The Operational Value of Social Media Information," with Ruomeng Cui, Antonio Moreno and Santiago Gallino, Production and Operations Management (2017).
  8. 8. "Does Social Interaction Improve Learning Outcomes? Evidence from Field Experiments on Massive Open Online Courses (MOOCs)," with Gad Allon and Jan Van Mieghem, Manufacturing & Service Operations Management (2016).
  9. 9. "Hospital Readmission Reduction Program: An Economic and Operational Analysis," with Itai Gurvich, Jan A. Van Mieghem, Eric Park, Mark Williams and Robert Young, Management Science (2016).

Papers Under Review or Revision

  1. "Information Sharing on Retail Platforms," with Zekun Liu and Fuqinag Zhang, minor revision in Manufacturing & Service Operations Management.
  2. "Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment in Bin Packing Warehouse Operations," with Jiankun Sun, Haoyuan Hu and Jan A. Van Mieghem, major revision in Management Science.
  3. "Pros vs Joes: Agent Pricing Behavior in the Sharing Economy," with Jun Li and Anotonio Moreno-Garcia, major revision in Management Science.
  4. "How Does Bonus Payment Affect the Demand for Auto Loans and Their Delinquency?," with Zhenling Jiang and Tat Chan, risky revision in Journal of Marketing Research.
  5. "Customer Choice Models versus Machine Learning: Finding Optimal Product Displays on Alibaba," with Jake Feldman, under 2nd round review at Operations Research.
  6. "Where Did the Time Go? On the Increase in Airline Schedule Padding Over 21 Years," with Yuval Salant and Jan A. Van Mieghem, reject and resubmit at Management Science.
  7. "Financing Small and Medium-Size Enterprises via Retail Platform," with Lingxiu Dong and Long Ren, 2nd round reject and resubmit at Manufacturing & Service Operations Management.
  8. "Click-Based MNL: Algorithmic Frameworks for Modeling Click Data in Assortment Optimization," with Ali Aouad, Jake Feldman and Danny Segev, reject and resubmit at Management Science.
  9. "Can Deep Reinforcement Learning Improve Inventory Management? Performance on Dual Sourcing, Lost Sales and Multi-Echelon Problems," with Joren Gijsbrechts, Robert N. Boute, Jan A. Van Mieghem, submitted.
  10. "The Spillover Effects of Customer No-Shows: Field Evidence from an Online Education Platform," with Hengchen Dai, submitted.
  11. "The Impacts of Algorithmic Work Assignment on Fairness Perceptions and Productivity: Evidence from Field Experiments," with Bing Bai, Hengchen Dai, Fuqiang Zhang and Haoyuan Hu, submitted.

Books, Practitioner and Conference Publications

  1. 1. "Agent Pricing in the Sharing Economy: Evidence from Airbnb. Sharing Economy: Making Supply Meet Demand,” with Antonio Moreno and Jun Li and, M. Hu (Ed.), in Springer Series in Supply Chain Management, C. Tang (2018).
  2. 2. "A Better Way to Fight Discrimination in the Sharing Economy,” with Jun Li and Ruomeng Cui, Harvard Business Review (2017).
  3. 3. "Achieving Flexibility in LDPC Code Design by Absorbing Set Elimination," with Jiadong Wang, Shayan Srinivasa and Lara Dolecek, Proc. Asilomar Conference on Signals, Systems, and Computers (2011).

Editorial Service

  • Associate Editor at Management Science. 2019 - Present
  • Senior Editor at Production and Operations Management. 2020 - Present
  • Guest Associate Editor at Naval Research Logistics
  • Ad-hoc Referee at Management Science, M&SOM, Operations Research, POMS, Journal of Political Economy, Journal of Law and Economics, Organizational Behavior and Human Decision Processes, Journal of Marketing Research, Information System Research.

Ph.D. Students

  • (Committee member, co-author) Joren Gijsbrechts (Operations Management, KU Leuven, Expected 2020).
  • Placement: Assistant Professor in Catolica Lisbon School of Business and Economics
  • (Committee member, co-author) Jiankun Sun (Operations Management, Kellogg School of Management, 2019)
  • Placement: Assistant Professor at Imperial College Business School, London
  • (Committee member, co-author) Zhenling Jiang (Marketing, Olin Business School, 2019)
  • Placement: Assistant Professor at the Wharton School of University of Pennsylvania
  • (Committee member) Fasheng Xu (Operations Management, Olin Business School, 2019)
  • Placement: Assistant Professor at Whitman School of Management, Syracuse University.
  • (Committee member) Duo Shi (Operations Management, Olin Business School, 2019)
  • Placement: Assistant Professor at CUHK Business School, Shenzhen

Awards

Paper Awards

  • (2020) Winner, 2020 Olin Research Award. ("Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment in Bin Packing Warehouse Operations.")
  • (2019) Winner, 2019 Revenue Management Practice Award. ("Taking Assortment Optimization from Theory to Practice: Evidence from Large Field Experiments on Alibaba.")
  • (2019) Finalist, 2019 Best Service Science Paper Award Competition. ("The Spillover Effects of Employee-Customer Interactions: Field Evidence from an Online Education Platform")
  • (2019) Finalist, 2019 Innovative Applications in Analytics Award. ("Taking Assortment Optimization from Theory to Practice: Evidence from Large Field Experiments on Alibaba.")
  • (2019) Winner, 2019 Olin Research Award. ("Taking Assortment Optimization from Theory to Practice: Evidence from Large Field Experiments on Alibaba."
  • (2018) Finalist, Competition at the 2018 Wharton People Analytics Conference. ("Peer Bargaining and Productivity in Teams: Evidence on the Inequitable Division of Pay.")
  • (2018) Finalist, 2018 POMS Applied Research Challenge. ("How Do Price Promotions Affect Customer Behavior on Retailing Platforms? Evidence from a Large Randomized Experiment on Alibaba.")
  • (2018) Finalist, 2018 POM-CBOM Junior Scholar Competition. ("How Do Price Promotions Affect Customer Behavior on Retailing Platforms? Evidence from a Large Randomized Experiment on Alibaba.")
  • (2017) Winner, 2017 Behavioral Operations Management Best Working Paper Award. ("Discrimination with Incomplete Information in the Sharing Economy: Evidence from Field Experiments on Airbnb.")
  • (2014) Winner, 2014 POMS College of Healthcare Operations Management Best Paper Award. ("Hospital Readmission Reduction Program: An Economic and Operational Analysis.")

Service Awards

  • (2019) Management Science Distinguished Service Award
  • (2019) M&SOM Meritorious Service Award
  • (2018) Management Science Distinguished Service Award
  • (2018) M&SOM Meritorious Service Award
  • (2017) Management Science Distinguished Service Award
  • (2017) M&SOM Meritorious Service Award

Teaching Awards

  • (2019) Reid Teaching Award---Master of Science in Business Analytics–Financial Technology
  • (2019) Reid Teaching Award---Master of Science in Business Analytics–Customer

Professional Experience

Washington University in St. Louis

  • Assistant Professor of Operations and Manufacturing Management, 2016 - Present

Google

  • Software Engineer PhD Intern. Rephil Team in Los Angeles, 2015 Summer.
  • Software Engineer PhD Intern. Smart Advertisement Support System Team in Pittsburgh, 2014 Summer.

Five Rings Capital

  • Quantitative Trading Developer Intern. New York, 2011 Summer.

Symantec

  • Part-time Quality Assurance Engineer. ccScan Team in Los Angeles, 2009-2010.
  • Quality Assurance Intern. ccScan Team in Los Angeles, 2009 Summer.

Contact me!

You can find me via email: denniszhang AT wustl.edu

Office: Bauer Hall 406, 1 Brookings Dr., St. Louis, MO 63130.

Significant Other

© 2020 Dennis J. Zhang