Zijun (June) Shi
I am an Assistant Professor of Marketing at HKUST. My research focuses on technology-driven marketing, market regulation, information, and public policy for the purpose of improving consumers' decisions and societal well-being. I employ interdisciplinary methodologies including structural modeling, applied game theory, machine learning, and causal inference.
E-mail: juneshi@ust.hk
Academic Appointment
Hong Kong University of Science and Technology (2019 - present)
Assistant Professor of Marketing
Research
Research Interest
Substantive: Technology-driven Marketing, Market Regulation, Information, Public Policy.
Industries: E-Commerce Platform, Fashion, Social Media, Transportation.
Methodological: Structural Models, Applied Game Theory, Machine Learning, Causal Inference.
Publication
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“Design of Platform Reputation System: Optimal Information Disclosure,” Zijun (June) Shi, Kannan Srinivasan, Kaifu Zhang (2022). forthcoming at Marketing Science.
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“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.
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Selected Media Coverage: American Council on Science and Health
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“Freemium as an Optimal Strategy for Market Dominant Firms,” Zijun (June) Shi, Kaifu Zhang, Kannan Srinivasan (2019). Marketing Science, 38(1), 150-169.
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“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.
Working Papers
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“How Do Fast Fashion Copycats Affect the Popularity of Premium Brands? Evidence from Social Media.” (with Xiao Liu, Dokyun Lee, Kannan Srinivasan) Under review.
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“The Effect of Voice AI on Consumer Purchase and Search Behavior.” (with Chenshuo Sun, Xiao Liu, and Anindya Ghose) Under review.
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“Mergers and Product Repositioning: Evidence from the Airline Industry.” (with Xin Wang, Yushu Zeng, Soo-Haeng Cho) Under review.
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“How to Sell Electric Vehicles?: The Impact of Direct Channel” (with Ting Zhu, Xubing Zhang, Mengze Shi)
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"Pricing as a Signal for Software Upgrade." (with Stylianos Despotakis, Kannan Srinivasan)
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
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Marketing Management (Spring 2020, Fall 2021).
CMU, Tepper School of Business
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Marketing I (Spring 2019). Pricing Strategy (Fall 2017).
Awards, Grants and Honors
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Hong Kong RGC Grant (General Research Fund), Principal Investigator, 2022
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Hong Kong RGC Grant (Early Career Scheme), Principal Investigator, 2021
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MSI Research Grant, 2020
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HKUST Faculty Start-up Fund, 2019
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INFORMS Marketing Science Doctoral Consortium Fellow, 2018
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The Dipankar and Sharmila Chakravarti Doctoral Fellowship Award, 2017
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Presidential Graduate Fellowship, 2017
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AMA-Sheth Foundation Doctoral Consortium Fellow, 2017
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INFORMS Marketing Science Doctoral Consortium Fellow, 2017
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Deans Research Fund, 2016
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William Larimer Mellon Fellowship, Carnegie Mellon University, 2014-2018
Industry Experience
Alibaba Group
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Research Intern (Summer 2015)
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Research Intern (Winter 2018)
PwC
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Consulting Project (Spring 2019)