Zijun (June) Shi
I am an Assistant Professor of Marketing at HKUST. My research focuses on technology-driven marketing, market regulation, 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
Hiring: I am hiring research assistants who are familiar with data analytics using Python or R, web crawling, or machine learning applications in computer vision or NLP. Please email me your CV if you are interested.
Academic Appointment
Hong Kong University of Science and Technology (2019 - present)
Assistant Professor of Marketing
Research
Research Interest
Substantive: Technology-driven Marketing, Market Regulation, Public Policy.
Methodological: Structural Models, Causal Inference, Applied Game Theory, Machine Learning.
Industries: E-Commerce Platform, Fashion, Social Media, Transportation.
Publication
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Zijun (June) Shi, Xiao Liu, Kannan Srinivasan (2021), “Hype News Diffusion and Risk of Misinformation: The Oz Effect in Healthcare,” published online, Journal of Marketing Research.
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Zijun (June) Shi, Kaifu Zhang, Kannan Srinivasan (2019), “Freemium as an Optimal Strategy for Market Dominant Firms,” Marketing Science, 38(1), 150-169.
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Achim Ingo Czerny, Zijun (June) Shi, Anming Zhang (2016), “Can Market Power Be Controlled by Regulation of Core Prices Alone?: An Empirical Analysis of Airport Demand and Car Rental Price,” 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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“Optimal Information Disclosure: Design of Online Reputation System.” (with Kaifu Zhang, 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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"Pricing as a Signal for Software Upgrade." (with Stylianos Despotakis, Kannan Srinivasan)
Selected Work in Progress
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“The Impact of Direct Selling on Dealers and Market Outcomes: Evidence from the Automobile Industry” (with Ting Zhu, Xubing Zhang, Mengze Shi)
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“Customized Fashion Matching by Machine.” (with Alan Montgomery)
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).
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)
Awards, Grants and Honors
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Principal Investigator, Early Career Scheme, The Research Grants Council of Hong Kong, 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