Jeffrey Hu

Yu "Jeffrey" Hu is Sharon A. and David B. Pearce Professor, Director of China Program, Co-Director of Business Analytics Center, and Associate Director of Master of Science in Analytics at Georgia Institute of Technology’s Scheller College of Business. He is also a Digital Fellow at MIT's Initiative on Digital Economy. He is an expert on big data, business analytics, electronic commerce, mobile commerce, social media, consumer behavior, and online advertising. He coauthored the first paper on the "Long Tail" phenomenon in Internet markets and the first paper on the value of social media in predicting stock markets, and he is among the first to measure the effect of social media promotions on product sales. He has advised or consulted for many companies and governments in the U.S., Europe, and China. He is frequently invited to speak at industry conferences and has taught top-level executives from many companies. His research uses empirical and analytical models to study social media, mobile commerce, electronic commerce, omni-channel retailing, retailers’ product variety/assortment decision, and consumers’ online and offline shopping behaviors. He has also written papers on pricing models in online advertising and online consumer privacy protection. His research has been published in top journals such as Management Science, Information Systems Research, Review of Financial Studies, MIT Sloan Management Review, Economic Inquiry, International Journal of Industrial Organization, and Management Information Systems Quarterly. His research has been discussed and cited by media outlets such as Wall Street Journal, New York Times, Reuters, Bloomberg, InformationWeek, Wired Magazine, TIME Magazine, INC. Magazine, National Public Radio, Atlanta Journal-Constitution, Atlanta Channel 2 (WSBTV), SeekingAlpha.com, Bankrate.com, Wallethub.com, etc. His papers have been adopted for classroom use by many top universities around the world. He has won research awards such as the inaugural Management Science Best Paper Award in Information Systems, Jay Ross Young Faculty Scholar Award,and John and Mary Willis Young Faculty Scholar Award. He has been nominated for Purdue University’s Teaching For Tomorrow Award, and has been a Hesburgh Award Teaching Fellow at Georgia Tech. Dr. Hu is an Associate Editor for Management Science (since 2011), and has served as an Associate Editor for Information Systems Research (2012-2016) and a Track Chair and Associate Editor for conferences such as International Conference on Information Systems.