Expertise
- Artificial intelligence
- New media
Research Publications
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Mengxia Zhang is an Assistant Professor of Marketing at the Ivey Business School, Western University, Canada. Mengxia’s research focuses on artificial intelligence and new media. In her job market paper, she uses machine learning methods to investigate whether consumer-posted photos can serve as a leading indicator of restaurant survival above and beyond reviews and other known factors. This paper is published at Management Science, and it won the 2018 ISMS Doctoral Proposal Competition Award and the 2018 Shankar-Spiegel Award Runner-up. In her other papers, she has studied the topics of consumer-AI co-creation and knowledge sharing.
Prior to joining Ivey, Mengxia completed her Ph.D. at the University of Southern California (USC). At USC Marshall, she has been granted a Ph.D. Student Outstanding Researcher Award for her research excellence and was nominated for the Ph.D. Student Teaching Award for her teaching excellence. In her spare time, Mengxia enjoys photography.
Programs Taught
- HBA
Education
- Ph.D.: Marketing – University of Southern California
- Master: Management – Peking University; Finance – Hong Kong University
- Bachelor: Economics and Laws– Peking University
Recent Refereed Articles
- Zhang, M. Z.; Luo, L., 2023, "Can Consumer-Posted Photos Serve as a Leading Indicator of Restaurant Survival? Evidence from Yelp", Management Science, January 69(1): 25 - 50.
Honours & Awards
- 2020 AMA-Sheth Foundation Doctoral Consortium Fellow
- 2019 USC Marshall Ph.D. Student Outstanding Researcher Award
- 2018 ISMS Doctoral Proposal Competition Award Winner
- 2018 Shankar-Spiegel Award Runner-up