Tang Chuang is an Assistant Professor in Marketing at Peking University HSBC Business School. He received his Ph.D. from the Department of Marketing at the National University of Singapore. His research interests include digital marketing, platform economy, artificial intelligence and DEI (Diversity, Equity and Inclusion). He leverages causal inference methods, structural models, and field experiments in his research. His research papers have been published in top journals including Marketing Science and Information Systems Research. And his research projects have been funded by National Natural Science Foundation of China and Natural Science Foundation of Guangdong Province. His papers have received best paper awards at multiple top academic conferences. His teaching interests are platform economics, marketing research and pricing strategy. He has published a teaching case in Ivey Publishing. He has received Faculty Excellence Award of PHBS in 2023 and High-level Talent Program of Shenzhen in 2019.
Research Interests:
Marketing, Platform Economy, Marketing Strategy, Digital Marketing, Artificial Intelligence
Education:
Ph.D. in Marketing, NUS Business School, National University of Singapore, 2019
Bachelor, Shanghai Jiao Tong University Shanghai, 2014
Academic Position:
2019.09-present, Assistant Professor, Peking University HSBC Business SchoolPublications
1. “Racial Discrimination and Anti-Discrimination: The COVID-19 Pandemic's Impact on Chinese Restaurants in North America”, Chuang Tang, Shaobo Li, Yi Ding, Ram Gopal, and Guanglei Zhang (2024). Information Systems Research, 35(3):1274-1295
2. “A Dynamic Model of Owner Acceptance in Peer-to-Peer Sharing Markets”, Dai Yao, Chuang Tang, and Junhong Chu (2023). Marketing Science, 42(1), 166-188.
3. “Gender Disparities in the Impact of Generative Artificial Intelligence: Evidence from Academia” Chuang Tang, Shaobo Li, Suming Hu, Fue Zeng and Qianzhou Du (2025). Proceedings of the National Academy of Sciences Nexus. 4(2), pgae591.
4. “An Exploration and Exploitation of Value Cocreation-Based Machine Learning Framework for Automated Idea Screening”, Qian Liu, Qianzhou Du, Chuang Tang, Yili Hong, and Weiguo Fan (2025). Decision Support Systems, 114504.
5. “Physician Use of Large Language Models: A Quantitative Study Based on Large-Scale Query-Level Data” Lin Qiu, Chuang Tang, Xuan Bi, Gordon Burtch, Yanmin Chen, and Heping Zhang (2025). Journal of Medical Internet Research, 27:e76941
6. “雨天更有利于打赏吗?——天气对娱乐直播中用户打赏行为的影响”。陈星宇，张欣烨，乔抒晨，唐闯，《营销科学学报》，2025
Grants
Young Scientists Fund of the National Natural Science Foundation of China
General Program of the Natural Science Foundation of Guangdong Province
Peking University HSBC Business School(PHBS), University Town, Nanshan District Shenzhen 518055, P.R.China
COPYRIGHT @ 2020 PHBS · Guangdong-ICP prepared No.12081285
