Zijun (June) Shi

I am an Assistant Professor at the HKUST Business School, an affiliated faculty at the HKUST Big Data Institute, and a core member of the AI Ethics and Governance Lab at HKUST. My research interest centers on the substantive theme of Technology-Driven Marketing. Under this unifying theme, my research goal is to (1) examine the impact of new technologies (e.g., AI) on marketing strategies, social welfare, and consumer well-being, and (2) utilize or adapt new technologies to enable business analytics. I employ the most appropriate methodology according to the nature of the research problem, including econometrics, machine learning, applied game theory, and experimental studies.

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My research has been published in Marketing Science, Journal of Marketing Research, Information Systems Research, and Transportation Research. I received the Paul E. Green Award for the best paper published in the Journal of Marketing Research. I also won the Don Lehmann Award for the best dissertation-based article published in the Journal of Marketing or Journal of Marketing Research. I have been recognized as the MSI Young Scholar in 2023.​​

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I received my Ph.D. in Industrial Administration (focusing on quantitative marketing) and a M.S. in Machine Learning from Carnegie Mellon University. I hold a B.S. degree in Electrical Engineering from Shanghai Jiao Tong University.

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RA Hiring:  I hire full-time and part-time research assistants with solid quantitative skills in econometrics, computer science, mathematics, or data science. Strong self-motivation is preferred. Interested candidates are welcome to email me a copy of your resume, transcript, and other relevant materials.​

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E-mail: juneshi@ust.hk 

Office: Room 4052, LSK Business Building, HKUST, Clear Water Bay.