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 and search engines, multi-channel advertising, and the role of business intelligence in digital marketing. Recently, she has been studying how the interplay between search and social media may change the economic decisions and marketing strategies of online search engines, and how the design of different search mechanisms may influence the subsequent behavior of online market players (e.g., firms and consumers) and the consequences in market efficiency. To explore these questions, 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 and several major IS, Economics, Marketing and Computer Science conferences and workshops. She recently won the Best Paper Award at the 20th International World Wide Web Conference (WWW 2011).
Prior to getting her PhD, Beibei received her BS in 2003 from Donghua University in Shanghai, with a major in Computer Science and a minor in Fashion Design.
PhD in Information Systems: Stern School of Business, New York University 2008-2012.
Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content. Marketing Science. 2012. (with Anindya Ghose and Panagiotis G. Ipeirotis)
Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue. (with Anindya Ghose and Panagiotis G. Ipeirotis)