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Jinyang Zheng

Jinyang Zheng

Assistant Professor of Management
Management Information Systems


PhD, Information Systems, University of Washington, 2017
Bachelor of Science, Fudan University, 2013


Jinyang Zheng is an assistant professor at the Krannert School of Management at Purdue University. His research primarily focuses on exploring the economic impact and uncovering the mechanisms of business strategies that are related to or enabled by novel information technologies. His current research interests consist of three major streams, including economics of AI, user-generated unstructured content, online two-sided market, and smart city. Methodologically, he applies causal inference, including both micro-econometrics and graphical models, empirical IO, and unstructured data analysis. His research has been published in premier business journals, such as Management Science and Information Systems Research, and has won multiple awards or nominations at premier conferences, including ICIS, WISE, CIST, and CSWIM. Jinyang develops and teaches the courses of Analyze Unstructured Data (Business Analytics Master Program course), and Data Tech for Research (Ph.D. course), and has taught Database Systems (Undergraduate core course). He has been continuously listed as an outstanding & distinguished teacher at Krannert. He graduated from the University of Washington in 2017. Prior to that, he graduated from the Department of Statistics at Fudan University in 2013.

Journal Articles

  • Y. Deng, J. Zheng, W. Khern-am-nuai, & K. Kannan (2021). More than the Quantity: Estimating the Value of Editorial Review for UGC Platform. Management Science, vol. Forthcoming | Related Website |
  • Zheng, J., Qi, Z., Dou, Y.&Tan, Y. (2020). How Mega is the Mega? Exploring the Spillover Effect of WeChat Using Graphical Model. Information Systems Research, vol. 30 (4), 1343-1362. | Related Website |
  • Zheng, J., Ren, F., Tan, Y. & Chen, X. (2020). Optimizing Two-Sided Promotion for Transportation Network Companies: A Structural Model with Conditional Bayesian Learning. Information Systems Research, vol. 31 (3), 692-714. | Related Website |
  • Usage of Mobile Apps

    Jinyang Zheng is an assistant professor at the Krannert School of Management at Purdue University. His recent study found that online transportation networks tools can significantly improve the operational flexibility and efficiency of public transportation system; early-stage large-scale sales promotion can stimulate consumer learning about online transportation networks; the "conform or to be cast out" policy can significantly enhance the consumer welfare; WeChat contributes to the usage of the smartphone ecosystem without squeezing out the usage of the other apps.

Best Paper Award of CSWIM

Best Paper in Social Media and Digital Collaborations Track of ICIS

Best Student Paper Award Nominee of CIST

Best Student Paper Award Runner-up of CIST

Kauffmann Award Best Student Paper Runner-up of ICIS

Office: KRAN 411

Quick links

Personal website