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Jinyang Zheng

Jinyang Zheng

Assistant Professor of Management
Management Information Systems

Education

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

CV

Jinyang Zheng is an assistant professor at the Krannert School of Management at Purdue University. His current research interests include transportation network, user-generated content, online two-sided market, mobile commerce, social media. He applies microeconometrics, empirical IO, and machine learning (e.g. causal inference, unstructured data processing) in his research. His recent study found that online transportation networks tools can significantly improve the operational flexibility and efficiency of the 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. He develops the courses of Analyze Unstructured Data (Business Analytics Master Program course), and Data Tech for Research (Ph.D. course), and teaches Database Systems (Undergraduate core course). He graduated from the University of Washington in 2017. Prior to that, he graduated from the Department of Statistics at Fudan University in 2013.

Forthcoming Publications

  • Zheng, J., Qi, Z., Dou, Y.&Tan, Y. (2019). How Mega is the Mega? Exploring the Spillover Effect of WeChat Using Graphical Model. Information Systems Research,
  • Zheng, J., Ren, F., Tan, Y.&Chen, X. (2019). Optimizing Two-Sided Promotion for Transportation Network Companies: A Structural Model with Conditional Bayesian Learning. Information Systems Research,
  • 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 (2019)

China Summer Workshop on Information Management

Contact

zhengjy@purdue.edu
Phone: (765) 49-66221
Office: KRAN 411

Quick links

Personal website