Zijun Shi

Assistant Professor of Marketing at HKUST Business School

Schools

  • HKUST Business School

Links

Biography

HKUST Business School

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.

Academic qualification

  • Ph.D. Carnegie Mellon University
  • M.S. Carnegie Mellon University
  • M.S. University of British Columbia
  • B.S. Shanghai Jiao Tong University, China

Publication

  • 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.

  • Zijun (June) Shi, Kaifu Zhang, Kannan Srinivasan (2019), “Freemium as an Optimal Strategy for Market Dominant Firms,” Marketing Science, 38(1), 150-169.​​​

  • 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

  • “How Do Fast Fashion Copycats Affect the Popularity of Premium Brands? Evidence from Social Media.” (with Xiao Liu, Dokyun Lee, Kannan Srinivasan) Under review.

  • “Optimal Information Disclosure: Design of Online Reputation System.” (with Kaifu Zhang, Kannan Srinivasan) Under review.

  • “The Effect of Voice AI on Consumer Purchase and Search Behavior.” (with Chenshuo Sun, Xiao Liu, and Anindya Ghose) Under review.

  • “Mergers and Product Repositioning: Evidence from the Airline Industry.” (with Xin Wang, Yushu Zeng, Soo-Haeng Cho) Under review.

  • "Pricing as a Signal for Software Upgrade." (with Stylianos Despotakis, Kannan Srinivasan)

Selected Work in Progress

  • “The Impact of Direct Selling on Dealers and Market Outcomes: Evidence from the Automobile Industry” (with Ting Zhu, Xubing Zhang, Mengze Shi)

  • “Customized Fashion Matching by Machine.” (with Alan Montgomery)

Awards, Grants and Honors

  • Principal Investigator, Early Career Scheme, The Research Grants Council of Hong Kong, 2021
  • 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

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