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

  • 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)

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).

CMU, Tepper School of Business

  • Marketing I (Spring 2019). Pricing Strategy (Fall 2017).

Industry Experience

Alibaba Group

  • Research Intern (Summer 2015)

  • Research Intern (Winter 2018)

PwC

  • Consulting Project (Spring 2019)

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