Zijun (June) Shi

Zijun (June) Shi

I am an Associate Professor at the School of Business and Management and (jointly appointed) the School of Humanities and Social Science at HKUST. My research interests center on how AI and digital technologies can genuinely serve consumer wellbeing through interdisciplinary research at the intersection of artificial intelligence, behavioral science, economics, healthcare, and data science. My research has been recognized with the Paul E. Green Award and the Don Lehmann Award for best paper of the year, and I have been named an MSI Young Scholar.

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

Research

Research Interests

We are currently working on research with the following themes, trying to contribute to a human-centered future where technology truly serves people:

(1) AI-driven Solutions for Consumer Wellbeing. We explore how AI and digital technologies can foster consumer wellbeing, especially in the social and emotional aspects.

(2) User-centered Design for Healthcare Suppliers. Our research bridges scientific insights and real-world practice in healthcare services and products — investigating how responsible design, ethical governance, and market mechanisms can be shaped to align technological innovation with user adoption and genuine wellbeing outcomes.

(3) Consumer-AI Relationship on Social Wellbeing. We explore the affective relational bonds that consumers develop through their interactions with AI products and services, and examine the implications of such bonds for consumer emotional and social wellbeing.

Publication

For a full list of my publications and works in progress, see CV and Google Scholar.

"Welfare Implications of Democratization in Content Creation: Generative AI and Beyond." Tianxin Zou, Zijun (June) Shi, Yue Wu, Journal of Marketing Research, forthcoming.
“The Effect of Voice AI on Digital Commerce.” Chenshuo Sun, Zijun (June) Shi, Xiao Liu, Anindya Ghose (2025), Information Systems Research, 36(2):1147-1166.
“Hype News Diffusion and Risk of Misinformation: The Oz Effect in Healthcare,” Zijun (June) Shi, Xiao Liu, Kannan Srinivasan (2022). Journal of Marketing Research, 59(2), 327-352.
- Winner, Paul E. Green Award, 2023
- Winner, AMA MR-SIG Don Lehmann Award, 2023
“How Do Fast Fashion Copycats Affect the Popularity of Premium Brands? Evidence from Social Media.” Zijun (June) Shi, Xiao Liu, Dokyun Lee, Kannan Srinivasan (2023). Journal of Marketing Research, 60(6), 1027-1051.
“Design of Platform Reputation System: Optimal Information Disclosure,” Zijun (June) Shi, Kannan Srinivasan, Kaifu Zhang (2022). Marketing Science, 42(3), 500-520.
“Freemium as an Optimal Strategy for Market Dominant Firms,” Zijun (June) Shi, Kaifu Zhang, Kannan Srinivasan (2019). Marketing Science, 38(1), 150-169.
“Can Market Power Be Controlled by Regulation of Core Prices Alone?: An Empirical Analysis of Airport Demand and Car Rental Price,” Achim Ingo Czerny, Zijun (June) Shi, Anming Zhang (2016). Transportation Research Part A, Vol. 91 (September), 260-272.

Grants

SBM Strategic Fund for Futuristic Business Research, PI, 2025~2028.
Hong Kong RGC Grant (General Research Fund), PI, 2024~2027, No.16505224.
Hong Kong RGC Grant (General Research Fund), Co-PI, 2024-2027, No.16506824.
Hong Kong RGC Grant (General Research Fund), PI, 2023~2026, No.16501923.
Hong Kong RGC Grant (General Research Fund), PI, 2022~2025, No. 16505122.
Hong Kong RGC Grant (Early Career Scheme), PI, 2021~2024, No. 26502121.
ISMS Doctoral Early-Stage Research Grants, Faculty Co-PI, 2024.
HKUST Business School Research Fund, PI, 2020.
MSI Research Grant, Co-PI, 2020.
HKUST Faculty Start-up Fund, Principal Investigator (PI), 2019.

Awards and Honors

MSI Young Scholars, 2023
Winner, AMA MR-SIG Don Lehmann Award, 2023
Winner, Paul E. Green Award, 2022
Dean’s Recognition of Teaching Excellence, 2020~2025
Fellow of the ISMS Early Career Scholars Camp, 2022
INFORMS Marketing Science Doctoral Consortium Fellow, 2018
The Dipankar and Sharmila Chakravarti Doctoral Fellowship Award, 2017
Presidential Graduate Fellowship, 2017
AMA-Sheth Foundation Doctoral Consortium Fellow, 2017
INFORMS Marketing Science Doctoral Consortium Fellow, 2017
Deans Research Fund, 2016
William Larimer Mellon Fellowship, Carnegie Mellon University, 2014-2018

Recruitment:

Postdoc, Ph.D. (Interdisciplinary Studies), and RA positions are available. I am looking for candidates who share the same research interests, have strong motivation, and have rich research experience in multimodal LLMs and agents. Interested candidates are welcome to email me a copy of your resume, transcripts, and other relevant materials.

E-mail: juneshi@ust.hk

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