Ke, Tony T.（柯特）

Biography

Professor Tony Ke is an Associate Professor of Marketing at The Chinese University of Hong Kong (CUHK) Business School. He received a PhD in Operations Research, an MA in Statistics and an MA in Economics from University of California at Berkeley, and a BS in Physics and a BS in Statistics from Peking University. His research is in the area of quantitative marketing, microeconomic theory and industrial organisation. His recent works focus on consumer search, online advertising and platforms, and economics of privacy, data and algorithms. His research work has been accepted for publication at Management Science, Marketing Science, Journal of Marketing Research, Journal of Economic Theory, American Economic Journal: Microeconomics, and Production and Operations Management. He spent five years as an assistant professor at MIT Sloan School of Management before joining CUHK. He is an associate editor of Marketing Science, Management Science, Journal of Marketing Research and Quantitative Marketing and Economics.

Teaching Area

Customer Analytics

Research Interests

Quantitative Marketing
Industrial Organisation
Microeconomic Theory

• Publications & Working Papers
  • G. Iyer and T.T. Ke (2024), “Competitive Model Selection in Algorithmic Targeting,” Marketing Science, 43(6), 1226–1241.
  • J. Chen, Y. Gao, and T.T. Ke (2024), “Regulating Digital Piracy Consumption,” Journal of Marketing Research, 61(6), 1096–1115.
  • T.T. Ke, M. Sun, and B. Jiang (2024), “Peer-to-Peer Markets with Bilateral Ratings,” Marketing Science, 43(5), 1081–1101.
  • T.T. Ke, J. Shin, & J. Yu (2023), “A model of product portfolio design: Guiding consumer search through brand positioning,” Marketing Science, 42(6), 1101-1124.
  • T.T. Ke and Sudhir, K. (2023), “Privacy rights and data security: GDPR and personal data markets,” Management Science, 69(8), 4363-4971.
  • T.T. Ke, Christopher Li, and Mikhail Safronov (2023), “Learning by choosing: career concerns with observable actions,” American Economic Journal: Microeconomics, 15(2), 536-567.
  • T.T. Ke, Tang, Wenpin, Villas-Boas, J. and Zhang, Yuming (2022), “Parallel search for information in continuous time—optimal stopping and geometry of the PDE,” Applied Mathematics & Optimization, 85(3).
  • T.T. Ke and Y. Zhu (2021), “Cheap talk on freelance platforms,” Management Science, 67(9), 5901-5920.
  • T.T. Ke and S. Lin (2020), “Informational complementarity,” Management Science, 66(8), 3699-3716.
  • M.C. Janssen and T.T. Ke (2020), “Searching for service,” American Economic Journal: Microeconomics, 12(1), 188-219.
  • X. Cao and T.T. Ke (2019), “Cooperative search advertising,” Marketing Science, 38(1), 44-67.
  • T.T. Ke and J.M. Villas-Boas (2019), “Optimal learning before choice,” Journal of Economic Theory, 180, 383-437.
  • T.T. Ke, Z.J.M. Shen, and J.M. Villas-Boas (2016), “Search for information on multiple products,” Management Science, 62(12), 3576-3603.
  • T.T. Ke, Z.J.M. Shen, and S. Li (2013), “How inventory cost influences introduction timing of product line extensions,” Production and Operations Management, 22(5), 1214-1231.

• Awards & Honours
  • NSFC Excellent Young Scientist, 2024
  • Young Researcher Award, CUHK, 2024
  • Research Excellence Award, CUHK, 2023
  • Outstanding Fellow of the Faculty of Business Administration, CUHK, 2023
  • Faculty Teaching Merit Award, CUHK Business School, 2022, 2023
  • Marketing Science Service Award, 2021, 2022
  • Management Science Distinguished Service Award, 2018
  • Management Science Meritorious Service Award, 2017, 2020
  • Outstanding Teaching Award, Haas School of Business, 2014
    

• Academic/Professional Services
  • Board of Governors, English Schools Foundation, 2023-present
  • Associate Editor, Marketing Science, 2024-present
  • Associate Editor, Management Science, 2024-present
  • Associate Editor, Journal of Marketing Research, 2025-present
  • Associate Editor, Quantitative Marketing and Economics, 2021-present
  • Editorial Board, Marketing Science, 2020-2024
  • Editorial Board, Journal of Marketing Research, 2023-2025