Carnegie Mellon University

Yan Huang

Yan Huang

Associate Professor of Business Technologies

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  • TEP - Tepper Building - Room 5106
5000 Forbes Avenue
Pittsburgh, PA 15213


  • Carnegie Mellon University - Ph D (Information Systems and Management) - 2013
  • Tsinghua University - B Sc (Information Systems and Management) - 2009


Topics: Crowds, Platforms, Economic and Social Impact of Algorithms Methodologies: Economic Theories, Econometrics, Statistical Modeling, Machine Learning


  • Algorithmic Transparency with Strategic Users
    (author(s): Qiaochu Wang, Yan Huang, Stefanus Jasin, Param Vir Singh)
    Management Science, accepted
  • Social Influence, Competition, and Free Riding: Examining Seller Interactions Within an Online Social Network
    (author(s): He Huang, Yan Huang, Zhijun Yan, Han Zhang)
    Management Information Systems Quarterly, accepted
  • The Role of Feedback in Dynamic Crowdsourcing Contests: A Structural Empirical Analysis
    (author(s): Zhaohui (Zoey) Jiang, Yan Huang, Damian R. Beil)
    Management Science, forthcoming
  • Crowd, Lending, Machine, and Bias
    (author(s): Runshan Fu, Yan Huang, Param Vir Singh)
    Information Systems Research, 32(1), 2021; 72-92
  • The Role of Problem Specification in Crowdsourcing Contest for Design Problems: A Theoretical and Empirical Analysis

    (author(s): Zhaohui (Zoey) Jiang, Yan Huang, Damian R. Beil)
    Manufacturing & Service Operations Management, 23(3), 2021; 637-656

  • AI and Algorithmic Bias: Source, Detection, Mitigation and Implications

    (author(s): Runshan Fu, Yan Huang, Param Vir Singh)
    Tutorials in Operations Research, INFORMS, 2020

  • Data-Driven Promotion Planning for Paid Mobile Applications
    (author(s): Manqi (Maggie) Li, Yan Huang, Amitabh Sinha)
    Information Systems Research 31(3), 2020; 1007-1029
  • Structural Econometric Models

    (author(s): Yan Huang, Stephanie Lee, Yong Tan)
    Tutorials in Operations Research, INFORMS, 2019

  • “Level Up”: Leveraging Skill and Engagement to Maximize Player Retention in Online Video Games

    (author(s): Yan Huang, Stefanus Jasin, Puneet Manchanda)
    Information Systems Research 30(3), 2019; 927-947

  • A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media

    (author(s): Yan Huang, Param Vir Singh, Anindya Ghose)
    Management Science 61(12), 2015; 2825-2844

  • Crowdsourcing New Product Ideas under Consumer Learning

    (author(s): Yan Huang, Param Vir Singh, Kannan Srinivasan)
    Management Science 60(9), 2014; 2138-2159

  • An Empirical Analysis of Digital Music Bundling Strategies

    (author(s): Brett Danaher, Yan Huang, Michael D. Smith, Rahul Telang)
    Management Science 60(6), 2014; 1413-1433

Awards and Honors

  • INFORMS Information Systems Society - Sandy Slaughter Early Career Award (2020)
  • INFORMS eBusiness Best Paper Award (2017)
  • Management Science Meritorious Service Award (2016)
  • INFORMS Information Systems Society - Nunamaker-Chen Dissertation Award (2014)
  • Carnegie Mellon University - William W. Cooper Doctoral Dissertation Award (2014)
  • Wharton Customer Analytics Initiative Data Grant (2014)
  • Conference on Information Systems and Technology - Best Student Paper Award (2012)
  • Carnegie Mellon University - Suresh Konda Award (for Best Ph.D. Student First Research Paper) (2011)