Zijun (June) Shi
I am an Assistant Professor of Marketing at HKUST. I employ econometrics, economic theory, and machine learning to study: (1) Technology-driven marketing and the economic impact of new technology; (2) Marketing-driven solutions to social issues (e.g., misinformation, sustainability, inclusivity).
RA Hiring: I hire full-time and part-time research assistants with solid quantitative skills.
E-mail: juneshi@ust.hk
Academic Appointment
Assistant Professor, HKUST Business School (2019 - present)
Research
Publication
-
“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, 0(0).
-
“Design of Platform Reputation System: Optimal Information Disclosure,” Zijun (June) Shi, Kannan Srinivasan, Kaifu Zhang (2022). Marketing Science, 42(3), 500-520.
-
“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
-
-
“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.
Selected Working Papers
-
“The Effect of Voice AI on Digital Commerce.” (with Chenshuo Sun, Xiao Liu, and Anindya Ghose)
-
“Can A Traditional Automaker Accelerate EV Sales Through Company-Owned Stores?” (with Ting Zhu, Mengze Shi, Xubing Zhang)
-
"Dynamic Pricing with Software Upgrade Uncertainty." (with Stylianos Despotakis)
-
“Art and Smart Contract: The Role of Royalties.” (with Song Lin, Wenxiao Yang)
-
“Mergers and Product Repositioning: Evidence from the Airline and PC Industry.” (with Xin Wang, Yushu Zeng, Soo-Haeng Cho)
Education
Carnegie Mellon University (2014–2019)
Ph.D. in Industrial Administration (Marketing)
M.S. in Machine Learning
University of British Columbia (2012–2014)
M.S. in Business Administration (Transportation Economics)
Shanghai Jiao Tong University (2008–2012)
B.S. in Electric Power Engineering and Automation
Teaching
HKUST Business School
-
Marketing Management (Spring 2020, Fall 2021, 2022).
CMU, Tepper School of Business
-
Marketing I (Spring 2019). Pricing Strategy (Fall 2017).
Awards, Grants and Honors
-
MSI Young Scholars, 2023
-
Winner, Paul E. Green Award, 2023
-
Winner, AMA MR-SIG Don Lehmann Award, 2023
-
Hong Kong RGC Grant (General Research Fund), Principal Investigator, 2023~2026
-
Fellow of the ISMS Early Career Scholars Camp, 2022
-
Hong Kong RGC Grant (General Research Fund), Principal Investigator, 2022~2025
-
Hong Kong RGC Grant (Early Career Scheme), Principal Investigator, 2021~2024
-
Dean’s Recognition of Teaching Excellence, 2020, 2021, 2022
-
HKUST Business School Research Fund, 2020
-
MSI Research Grant, 2020
-
HKUST Faculty Start-up Fund, 2019
-
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