Ping Tang

Biography

Ping Tang is an Assistant Professor of Computer Information Systems at Bentley University. She received her Ph.D. in Management Science with a concentration in Information Systems from the Naveen Jindal School of Management at the University of Texas at Dallas. Her research focuses on omnichannel retailing, digital platforms, AI impact, and e-commerce, and employs methodologies including game theory, machine learning, text mining, and econometrics.

Research Interests

Topics: Omnichannel Retailing, Digital Platforms, AI Impact, E-commerce

Methodologies: Game Theory, Machine Learning, Text Mining, Econometrics

Education

• University of Texas at Dallas, Naveen Jindal School of Management
  Ph.D., Management Science, Information Systems Concentration, 2018–2023
• South China University of Technology
  M.S., Operations Management, 2014–2017
• South China University of Technology
  B.S., Applied Mathematics, 2010–2014

Publications

1. Ping Tang, Jianqing Chen, Srinivasan Raghunathan (2023). Physical Stores as Warehouses for Online Channels: Implications for Channel Choices under Competition. Information Systems Research 34(4), 1554–1581.
2. Ping Tang, Jianqing Chen, Srinivasan Raghunathan (2026). Buy Online, Pickup or Deliver from Store Options: Why Would an Online Retail Platform with Third-Party Sellers Offer Them?. Information Systems Research, forthcoming.

Papers Under Review

1. Ping Tang, Amit Mehra, Prasenjit Mandal. The Double-Edged Sword of Consumer Showrooming For An Omnichannel Retailer. 2nd Round Review at Information Systems Research.
2. Ping Tang, Rajiv Garg, Anuj Kumar, Amit Mehra. Store Assortment 2.0: A Comprehensive Retail Analytics Framework to Identify (Non)-Digital Products. Under Review at Journal of Marketing Research.
3. Feifei Jiang, Ping Tang, Donghan Wang. Communication Channels and Appearance-Based Discrimination: Evidence from Covid-19 Induced Remote Teaching. Under Review at Information Systems Research.

Work in Progress

1. Ping Tang, Jianqing Chen, Srinivasan Raghunathan. Cooperation between Sharing Economy and Traditional Business: Impact of Price Regulation on the Alliance.
2. Ping Tang, Jennifer Xu, Anqi Xu. Impact of AI on the Online Labor Market.
3. Ping Tang, Wangsheng Zhu. Restrict or Embrace? Platform Strategies for Consumer-Facing AI Agents.

Conference Presentations

1. Buy Online, Pickup or Deliver from Store Options: Why Would an Online Retail Platform with Third-Party Sellers Offer Them? The 3rd Annual USC Marshall Initiative on Digital Competition Digital Transformation, 2025.
2. Buy Online, Pickup or Deliver from Store Options: Why Would an Online Retail Platform with Third-Party Sellers Offer Them? The 17th China Summer Workshop on Information Management (CSWIM), 2024.
3. Store Assortment 2.0: A Comprehensive Retail Analytics Framework to Identify (Non)-Digital Products. Production and Operations Management Society (POMS), 2023.
4. The Role of First- and Second-Instance Showrooming on Product Assortment and Pricing Strategies of a Multi-Channel Retailer. Production and Operations Management Society (POMS), 2022.
5. New Retail: Implications for Channel Choices under Competition. Production and Operations Management Society (POMS), 2022.
6. The Effect of Customer Showrooming on Return Policy and Product Assortment for Multichannel Retailers. The International Conference on Information Systems (ICIS), Austin, Texas, 2021.
7. Store Assortment 2.0: A Comprehensive Retail Analytics Framework to Identify (Non)-Digital Products. Workshop on Information Systems and Economics (WISE), Austin, Texas, 2021.
8. New Retail: Implications for Channel Choices under Competition. INFORMS Workshop on Online Platforms and Digital Economics, 2021.
9. New Retail: Implications for Channel Choices under Competition. Production and Operations Management Society (POMS), 2021.
10. The Effect of Customer Showrooming on Return Policy and Product Assortment for Multichannel Retailers. Workshop on Information Systems and Economics (WISE), 2020.
11. New Retail: Implications for Channel Choices under Competition. Production and Operations Management Society (POMS), 2020.

Teaching

Service

Programming Skills

Mathematica, Python, Matlab, Java, R, LaTeX

Coursera Certificate: Supervised Machine Learning

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