Anindya Ghose

Anindya Ghose is an Associate Professor of Information, Operations, and Management Sciences and Robert L. & Dale Atkins Rosen Faculty Fellow at New York University's Leonard N. Stern School of Business. His research analyzes the economic consequences of the Internet on industries and markets transformed by its shared technology infrastructure. He is an expert in quantifying the economic value from user-generated content in spaces mediated by social media; modeling and estimating the monetization of content through search engine advertising; modeling consumer behavior in mobile media based social networks; and measuring the welfare impact of the Internet. He has worked on product reviews, reputation and rating systems, sponsored search advertising, mobile commerce, mobile social networks, and online markets. He has also worked on the economics of IT-based price discrimination and the economics of information security. He frequently works with and consults for leading firms in the information technology, retail, financial services, telecommunications, and travel industries on projects related to internet marketing, user-generated content, and search engine advertising. His work has been published in leading journals that include ISR, JMIS, Journal of Economics and Management Strategy, MIS Quarterly, Management Science, Marketing Letters, Marketing Science, Statistical Science, and TKDE. His research has received best paper awards and nominations at leading journals and conferences such as ICIS, WITS and ISR. In 2007, he received the prestigious NSF CAREER Award. He is also a winner of a 2005 ACM SIGMIS Doctoral Dissertation Award, a2006 Microsoft Live Labs Award, a 2007 Microsoft Virtual Earth Award, a2007 Marketing Science Institute grant, several WIMI (Wharton Interactive Media Initiative) awards, a 2009 NSF SFS award, a 2010 NSF IGERT award, and a 2010 Google-WPP Marketing Research Award. He serves as an Associate Editor of Management Science.

Keywords

Internet Advertising
Social Media
User-generated Content
Internet Marketing
Electronic Commerce
Social Commerce
Dynamic Structural models
Hierarchical Bayesian models
Econometrics