Jing Peng

Assistant Professor

Operations and Information Management


Ph.D. in Operations, Information and Decisions, University of Pennsylvania

M.E. in Computer Science, Chinese Academy of Sciences

B.S. in Applied Physics, Xi’an Jiaotong University

Areas of Expertise

Empirical research: social media, e-commerce, gig economy, health care, paid knowledge sharing

Methodology: durational attribution models, endogenous mediation models, panel count models with sample selection

Journal Publications

  • Jing Peng. (2022). Identification of Causal Mechanisms from Randomized Experiments: A Framework for Endogenous Mediation Analysis. Information Systems Research (forthcoming).
  • Yili Hong, Jing Peng, Gordon Burtch, and Ni Huang. (2021). Just DM Me (Politely): Direct Messaging, Politeness, and Hiring Outcomes in Online Labor Markets. Information Systems Research, 32(3): 675-1097.
  • Shu He, Jing Peng, Jianbin Li, and Liping Xu. (2020). Impact of Platform Owner’s Entry on Third-Party Stores. Information Systems Research, 31(4): 1467-1484.
  • Jing Peng, Ashish Agarwal, Kartik Hosanagar, and Raghuram Iyengar. (2018). Network Overlap and Content Sharing on Social Media Platforms. Journal of Marketing Research, 55(4), p. 571-585.
  • Zhu Zhang, Daniel Zeng, Ahmed Abbasi, Jing Peng and Xiaolong Zheng. (2013). A Random Walk Model for Item Recommendation in Social Tagging Systems. ACM Transactions on Management Information Systems, 4(2): 1-24.
  • Jing Peng, Daniel Zeng, and Zan Huang. (2011). Latent Subject-centered Modeling of Collaborative Tagging: An Application in Social Search. ACM Transactions on Management Information Systems, 2(3): 1-23.

    View Jing’s research on Google Scholar and SSRN.


    OPIM 6201 – Research Methods for Operations and Information Management (focus on Econometrics)

    OPIM 5671 – Data Mining and Business Intelligence

    OPIM 5512 – Data Science using Python



    Contact Information
    Mailing Address2100 Hillside Road, Unit 1041, Storrs, CT 06269
    Office LocationBUSN 368
    CoursesOPIM6201; OPIM 5671; OPIM 5512
    Download CV