Link to SSRN, Google Scholar
Publications
"The Value of Customer-Related Information on Service Platforms: Evidence From a Large Field Experiment," with Zhiyu Zeng, Nick Clyde, Hengchen Dai and Max Shen, Manufacturing & Service Operations Management (2025).
"Deep Learning Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence," with Zikun Ye, Zhiqi Zhang, Heng Zhang, Renyu Zhang, Management Science (2025).
"The Value of Logistic Flexibility in E-commerce," with Bing Bai, Tat Chan and Fuqiang Zhang, Management Science (2025).
"The Choice Overload Effect in Online Retailing Platforms," with Xiaoyang Long, Jiankun Sun and Hengchen Dai, Manufacturing & Service Operations Management (2024).
"The Click-Based MNL Model: A Novel Framework for Modeling Click Data in Assortment Optimization," with Ali Aouad, Jacob Feldman and Danny Segev, Management Science (2024).
"A High-Dimensional Choice Model for Online Retailing," with Zhaohui Jiang and Jun Li, Management Science (2023).
"The Impact of Social Nudges on User-Generated Content for Social Network Platforms.," with Zhiyu Zeng, Hengchen Dai, Heng Zhang, Renyu Zhang and Max Shen, Management Science (2022). [ GitHub]
"The Impact of COVID-19 Pandemic on Gig Economy Labor Supply," with Xinyu Cao and Lei Huang, Manufacturing & Service Operations Management (2022).
"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, Manufacturing & Service Operations Management (2022).
"Cold Start on Online Advertising Platforms: Data-Driven Algorithms and Field Experiment.," with Zikun Ye, Heng Zhang, Renyu Zhang and Xin Chen, Management Science (2022). [ GitHub]
"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, Manufacturing & Service Operations Management (2021). [ GitHub]
"Customer Choice Models versus Machine Learning: Finding Optimal Product Displays on Alibaba," with Jake Feldman, Operations Research (2021). [ GitHub]
"How Does Bonus Payment Affect the Demand for Auto Loans and Their Delinquency?," with Zhenling Jiang and Tat Chan, Journal of Marketing Research (2021).
"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).
"Information Sharing on Retail Platforms," with Zekun Liu and Fuqiang Zhang, Manufacturing & Service Operations Management (2020).
"NetEase Cloud Music Data," with Ming Hu, Manufacturing & Service Operations Management (2020).
"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).
"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).
"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).
"Prosocial Goal Pursuit in Crowdfunding: Evidence from Kickstarter," with Hengchen Dai, Journal of Marketing Research (2018).
"Reducing Discrimination with Reviews in the Sharing Economy: Evidence from Field Experiments on Airbnb," with Ruomeng Cui and Jun Li, Management Science (2018).
"Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon," with Ruomeng Cui and Achal Bassamboo, Management Science (2017).
"The Operational Value of Social Media Information," with Ruomeng Cui, Antonio Moreno and Santiago Gallino, Production and Operations Management (2017).
"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).
"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 Review
"Large Language Models for Market Research: A Data-augmentation Approach," with Mengxin Wang, Heng Zhang, major revision in Marketing Science.
"A New Estimator for Encouragement Design in Randomized Controlled Trials When the Exclusion Restriction Is Violated," with Guangying Chen, Cheng Lu, Tat Chan and Zhengling Qi, major revision in Marketing Science.
"The Impact of Recommender Systems on Content Consumption and Production: Evidence from Field Experiments and Structural Modeling," with Zhiyu Zeng, Zhiqi Zhang and Tat Chan, major revision in Management Science.
"Dynamic Discrimination on Online Platforms, with Peibo Zhang, Xingyu Cao, Ruomeng Cui, major revision in Management Science.
"How the Power of Pay Gets Amplified in Gig Economy," with Xinyu Cao and Shilei Luo, risky revision in Journal of Marketing Research.
"Green E-commerce: Environmental Impact of Fast Delivery," with Chenshan Hu, Xiaoyang Long and Jiankun Sun, major revision in Management Science.
"The Impact of Ridesharing Platforms on Healthcare Access," with Bing Bai and Nick Clyde, major revision in Management Science.
"The Effects of Diversity in Algorithmic Recommendations on Digital Content Consumption: A Field Experiment," with Guangying Chen and Tat Chan, major revision in Management Science.
"How Forced Intervention Facilitates Long-term Algorithm Adoption," with Xinyu Cao, Chenshan Hu and Jiankun Sun, major revision in Manufacturing & Service Operations Management.
Books, Practitioner and Conference Publications
"Large Language Models for Market Research: A Data-augmentation Approach," with Mengxin Wang and Heng Zhang, NeurIPS Workshop on Statistical Frontiers in LLMs and Foundation Models, 2024
"Deep Learning Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence," with Zikun Ye, Zhiqi Zhang, Heng Zhang, Renyu Zhang, 23th ACM Conference on Economics and Computation (EC'23) (2023)
"Applied Machine Learning in Operations Management,” with Hamsa Bastani and Heng Zhang Innovative Technology at the Interface of Finance and Operations (2020).
"Agent Pricing in the Sharing Economy: Evidence from Airbnb. Sharing Economy: Making Supply Meet Demand,” with Antonio Moreno and Jun Li , M. Hu (Ed.), in Springer Series in Supply Chain Management, C. Tang (2018).
"A Better Way to Fight Discrimination in the Sharing Economy,” with Jun Li and Ruomeng Cui, Harvard Business Review (2017).
"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).