Yan Huang is a graduating PhD student, and as of July 2013, she will be an Assistant Professor of Technology and Operations at the Stephen M. Ross School of Business, University of Michigan.
Yan is a quantitative modeler interested in problems related to technological innovation. Her 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
Tsinghua University (2009)
Ph.D. in Information Systems and Management
Carnegie Mellon University (2013)