Hi, I'm Dennis Zhang.

I am a tenured associate 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. "Customer Choice Models versus Machine Learning: Finding Optimal Product Displays on Alibaba," with Jake Feldman, Operations Research (2021).
  2. 2. "How Does Bonus Payment Affect the Demand for Auto Loans and Their Delinquency?," with Zhenling Jiang and Tat Chan, Journal of Marketing Research (2021).
  3. 3. "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,Management Science (2020).
  4. 4. "Information Sharing on Retail Platforms," with Zekun Liu and Fuqinag Zhang, Manufacturing & Service Operations Management (2020).
  5. 5. "NetEase Cloud Music Data," with Ming Hu, Manufacturing & Service Operations Management (2020).
  6. 6. "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).
  7. 7. "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).
  8. 8. "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).
  9. 9. "Prosocial Goal Pursuit in Crowdfunding: Evidence from Kickstarter," with Hengchen Dai, Journal of Marketing Research (2018).
  10. 10. "Reducing Discrimination with Reviews in the Sharing Economy: Evidence from Field Experiments on Airbnb," with Ruomeng Cui and Jun Li, Management Science (2018).
  11. 11. "Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon," with Ruomeng Cui and Achal Bassamboo, Management Science (2017).
  12. 12. "The Operational Value of Social Media Information," with Ruomeng Cui, Antonio Moreno and Santiago Gallino, Production and Operations Management (2017).
  13. 13. "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).
  14. 14. "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).

Selected Papers Under Revision

  1. "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, major revision in Manufacturing & Service Operations Management.
  2. "The Value of Customer-Related Information on Service Platforms: Evidence From a Large Field Experiment," with Hengchen Dai, Zhiyu Zeng and Max Shen, major revision in Management Science.
  3. (New) "A High-Dimensional Choice Model for Online Retailing," with Zhaohui Jiang and Jun Li, major revision in Management Science.
  4. (New) "Cold Start on Online Advertising Platforms: Data-Driven Algorithms and Field Experiment.," with Zikun Ye, Heng Zhang, Renyu Zhang and Xin Chen, reject and resubmit in Management Science.
  5. (New) "Earnings Equality in Teams with Common Microgeographic Origins: Evidence from Laoxiang Guanxi in Chinese Beauty Salons," with Lamar Pierce and Laura Wange, major revision in Organization Science.
  6. (New) "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, major revision in Manufacturing & Service Operations Management.
  7. (New) "The Impact of COVID-19 on Labor Supply and Gender Gap: Evidence from a Gig Economy Platform.," with Xinyu Cao and Lei Huang, major revision in Manufacturing & Service Operations Management.
  8. (Very New) "Wage Transparency, Negotiation, andReference-dependent Utility," with Hengchen Dai and Xiaoyang Long, submitted.
  9. (Very New) "Choice Overload with Search Cost and Anticipated Regret: Theoretical Framework and Field Evidence," with Xiaoyang Long, Jiankun Sun and Hengchen Dai, submitted.

Books, Practitioner and Conference Publications

  1. 1. "Applied Machine Learning in Operations Management,” with Hamsa Bastani and Heng Zhang Innovative Technology at the Interface of Finance and Operations (2020).
  2. 2. "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).
  3. 3. "A Better Way to Fight Discrimination in the Sharing Economy,” with Jun Li and Ruomeng Cui, Harvard Business Review (2017).
  4. 4. "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
  • Associate Editor at Manufacturing & Service Operations Management 2020 - 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

    Current Students

    1. 1. Bing Bai
    2. 2. Zikun Ye
    3. 3. Zhiyu Zeng

    Committee Chair/Co-author:

    1. 1. Joren Gijsbrechts (2020). Assistant Professor in Catolica Lisbon School of Business and Economics
    2. 2. Zhenling Jiang (2019). Assistant Professor at the Wharton School of University of Pennsylvania
    3. 3. Jiankun Sun (2019). Assistant Professor at Imperial College Business School, London

    Committee Member:

    1. 1. Fasheng Xu (2019). Assistant Professor at Whitman School of Management, Syracuse University.
    2. 2. Duo Shi (2019). Assistant Professor at CUHK Business School, Shenzhen

Awards

Paper Awards

  • (2021) Finalist, 2021 Wharton People Analytics White Paper Competition. ("The Impact of AI on Workers’ Perceived Fairness: Evidence from a Field Experiment.")
  • (2021) Finalist, Best Accepted Papers in 2021 Academy of Management Meeting. ("The Impact of AI on Workers’ Perceived Fairness: Evidence from a Field Experiment.")
  • (2021) Honorable Mention, M&SOM 2020 Responsible Research Award. ("Reducing Discrimination with Reviews in the Sharing Economy: Evidence from Field Experiments on Airbnb.")
  • (2020) Finalist, 2020 POM-CBOM Junior Scholar Competition. ("The Impacts of Algorithmic Work Assignment on Fairness Perceptions and Productivity: Evidence from Field Experiments.")
  • (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

  • Associate Professor of Operations and Manufacturing Management, 2020 - Present
  • Assistant Professor of Operations and Manufacturing Management, 2016 - 2020

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.

© 2021 Dennis J. Zhang