Assistant Professor of Information Systems and Management
Office: HBH 3026
Beibei Li joined the Heinz College faculty in 2012 as an Assistant Professor of Information Systems and Management. She received her PhD in Information Systems from Leonard N. Stern School of Business, New York University.
Beibei's research interests lie at the intersection between social and technical aspects of information technology. She is especially interested in topics related to social media, search engines, multi-channel advertising, and the role of business intelligence in digital marketing. Her recent interests focus on information technologies and financial innovation, interplay between search engine and social media, economics of mobile and location-based services and user-generated content. To reach her goals, Beibei applies inter-disciplinary approaches combining econometrics, economic structural modeling, Bayesian modeling and randomized experiments, with crowd-sourcing and machine learning techniques such as text mining, sentiment analysis and image classification.
Beibei's work has been published in Marketing Science, Management Science and major IS, Economics, Marketing and Computer Science conferences and workshops. She is the winner of the Best Paper Award at the 20th International World Wide Web Conference (WWW 2011) and the winner of the Best Theme Paper Award at the International Conference on Information Systems (ICIS 2012). She is also the winner of the ACM SIGMIS Doctoral Dissertation Award and the Herman E. Krooss Doctoral Dissertation Award.
Prior to getting her PhD, Beibei held a BS and a MS in Computer Science. She also minored in Fashion Design.
PhD in Information Systems: Stern School of Business, New York University 2008-2012.
Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue. 2013. Forthcoming in Management Science. (with Anindya Ghose and Panagiotis G. Ipeirotis)
Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content. 2012. Marketing Science. (with Anindya Ghose and Panagiotis G. Ipeirotis)
Surviving Social Media Overload: Predicting Consumer Footprints on Product Search Engines.
Surviving Social Media Overload: Predicting Consumer Footprints on Product Search Engines. 2013. (with Anindya Ghose and Panagiotis G. Ipeirotis)