RESEARCH

Research Interests

Topics: Economics of AI, Social Media, E-commerce.

Methodologies: Econometrics, Game Theory, Machine Learning, Deep Learning.

Publications

FT 50 = Top 50 Journals used in Financial Times Research Rank;

UTD 24 = Top 24 journals for UT Dallas Top 100 Business School Research Rankings;

Journal Publications

1. Zhechao Yang, Qili Wang, and Liangfei Qiu, "Interlopers or Catalysts? Dissecting the Impact of Incorporating AI Players on Multiplayer Online Games," Information Systems Research, Conditionally Accepted. (UTD 24, FT 50)

2. Zhechao Yang, Hongseok Jang, and Xiajun Amy Pan, "Probabilistic Selling for Vertically Differentiated Products in a Supply Chain," Manufacturing & Service Operations Management, Accepted. (UTD 24, FT 50)

3. Vashkar Ghosh, Anand Abraham Paul, Zhechao Yang, and Lingjiong Zhu, "Optimal Batch Size and Process Setting in Light-Emitting Diode (LED) Coproduction Processes," Production and Operations Management (2024), 33(5), 1099-1115. (UTD 24, FT 50)

Working Papers

1. Zhechao Yang, Qili Wang, Liangfei Qiu, and Hsing Kenneth Cheng, "Identifying Purchase-Evoking Social Media Posts: A Theory-Driven Deep Multimodal Learning Framework,"  Major Revision, Preparing for 2nd Round Review at Production and Operations Management.

2. Zhechao Yang, Liangfei Qiu, and Xiajun Amy Pan, "Corporate Prediction Markets in Hierarchical Organizations: The Impact of 'Yes Men,'" In preparation for submission to MIS Quarterly.

3. "Probabilistic Selling for Vertically Differentiated Products: Consumers' Gambling Behavior," In preparation for submission (with Hongseok Jang, Xiajun Amy Pan, and Yang Yang).

4. "EV Subsidy (short title)," Work-in-Progress (with Asoo J. Vakharia, Ming Fan, and Honggang Hu).

Conference Papers and Presentations

1. Probabilistic Selling for Vertically Differentiated Products: Consumers’ Gambling Behavior. POMS Annual Conference, Reno, NV. May 2026.

2. Probabilistic Selling for Vertically-Differentiated Products in a Decentralized Channel. Decision Sciences Institute, Orlando, FL. November 2025.

3. Probabilistic Selling for Vertically Differentiated Products: Consumers’ Gambling Behavior. POMS Annual Conference, Atlanta, GA. May 2025.

4. Interlopers or Catalysts? Dissecting the Impact of Incorporating AI Players on Multiplayer Online Games. China Summer Workshop on Information Management (CSWIM), Xiamen, China. June 2024.

5. Deciphering the Economic Value of Fashion Trends: Social Media Analysis Using Deep Multimodal Learning. POMS Annual Conference, Minneapolis, MN. May 2024.

6. Probabilistic Selling for Vertically Differentiated Products in a Supply Chain. POMS Annual Conference, Minneapolis, MN. May 2024.

7. Optimal Batch Size and Process Setting in Light-Emitting Diode (LED) Coproduction Processes. POMS Annual Conference, Minneapolis, MN. May 2024.

8. Deciphering the Economic Value of Fashion Trends: Social Media Analysis Using Deep Multimodal Learning. Conference on Information Systems and Technology (CIST), Phoenix, AZ. October 2023.

9. Probabilistic Selling for Vertically Differentiated Products: Consumers’ Gambling Behavior. POMS Annual Conference, Orlando, FL. May 2023.

10. Probabilistic Selling for Vertically Differentiated Products in a Supply Chain. INFORMS Annual Meeting, Indianapolis, IN. October 2022.

11. Optimal Batch Size and Process Setting in Light-Emitting Diode (LED) Coproduction Processes. POMS Annual Conference (Virtual). April 2022.

12. Corporate Prediction Markets in Hierarchical Organizations: The Impact of "Yes Men," POMS Annual Conference (Virtual). April 2022.

13. Probabilistic Selling for Vertically Differentiated Products: Consumers’ Gambling Behavior. POMS Annual Conference (Virtual). April 2022.