Topic: Retail and Service Operations, Causal AI, Social Networks, Misconduct in Operations
Methodology: Causal Discovery, Causal Inference, Machine Learning, Probabilistic Graphical Modeling, Experimental Design
Working Papers Under Review and Revision
[All papers listed are first-authored or alphabetical (equal contribution). All drafts are available upon request. ]
1. “Causal Product Networks: A Data-driven Methodology for Modeling Basket-Shopping Consumer Behavior” with Vishal Gaur and Nur Kaynar.
• Under Second-Round Review at Management Science
• Accepted to the M&SOM Supply Chain Management SIG 2025
2. “Mapping the Effects of Operational Misconduct on Service Quality: A DAG-Based Causal Analysis” with Bradley Staats and Yushan Zhou.
• To be Resubmitted for Second-Round Review
3. “Predicting Dynamic Basket-Shopping Behavior: A Network Regression Approach” with Vishal Gaur and Nur Kaynar.
• In Preparation for Submission
4. “Government Funding Allocation in Obesity Medicine R&D: Theory and Experiments” with Chenxi Xu and Yushan Zhou.
• To be submitted
5. “The Influence Mechanism of Customer Review Manipulation on Competitive Pricing Decision-Making: Empirical and Theoretical Analysis” with Chenxi Xu, Saravanan Kesavan, and Bradley Staats.
• In Revision
Work in Progress
6. “Product Placement Design Using Causal Product Networks: Evidence from Field Experiments” with Vishal Gaur and Nur Kaynar.
• Field Experiments in Progress.
7. “Dynamic Targeted Email Marketing Strategy to Increase Product Categories in Shopping Baskets” with Vishal Gaur and Nur Kaynar.
8. “Privacy Disclosures on UGC Platforms: Quasi-Experimental Evidence” with Chris Forman and Yushan Zhou.
Due to confidentiality agreements, only a partial list of industry partners is shown.
Target is an American retail corporation headquartered in Minneapolis, Minnesota. Founded in 1962 as the discount division of the Dayton Company, Target has grown into one of the largest U.S. retailers, operating nearly 2,000 stores nationwide and delivering a curated guest experience across its physical stores and digital channels.
Numerator is a data and tech company bringing speed and scale to market research. Numerator blends first-party data from over 1 million US households with advanced technology to provide 360-degree consumer understanding for the market research industry that has been slow to change. Headquartered in Chicago, IL, Numerator has 5,400 employees worldwide.