Yan Huang is a Ph.D. candidate in Information Systems and Management at H. John Heinz III College, Carnegie Mellon University. She is a quantitative modeler interested in problems related to technological innovation. She has rigorous training in Information Technology, Economics, Statistics, Operations Management, and Marketing, especially in advanced econometric and statistical methods.
Yan's research addresses the problems facing practitioners as they leverage crowdsourcing and social media internally and externally to improve their productivity and profitability. Her work is among the first to look into the economic processes that shape participants’ behavior in various forms of enterprise social media and crowdsourcing initiatives. She applies structural and Bayesian modeling methods to analyze issues related to technological innovation, simulates effects of changes in the platform design and introduction of new policies, and recommends policies that should lead to greater effectiveness in enterprise use of social media.
Topics: Crowdsourcing, Enterprise Social Media, Digital Goods, Online Marketing Methodologies: Economic Theories, Econometrics, Structural Modeling, Bayesian Modeling
B.Sc. in Information Systems and Management
School of Economics and Management, Tsinghua University (2009)
A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media, with Param Vir Singh and Anindya Ghose, under third round review at Management Science.(Download)
An Empirical Analysis of Digital Music Bundling Strategy, with Brett Danaher, Michael D. Smith and Rahul Telang, under first round review at Management Science.Groupon
The Negative Impact of Groupon Usage on Store Review: An Analytical Analysis, with Param Vir Singh and Kannan Srinivasan.Ideastorm Paper
Crowdsourcing New Product Ideas under Consumer Learning, with Param Vir Singh and Kannan Srinivasan, under preparation for second round review at Management Science.(Download)
Crowdsourcing Contests: A Dynamic Structural Model of the Impact of Incentive Structure on Solution Quality, with Param Vir Singh and Tridas Mukhopadhyay.Topcoder
Learning to Win in Crowdsourcing Contests: A Dynamic Structural Analysis, with Anindya Ghose and Param Vir Singh