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Yu Jeffrey Hu

Yu Jeffrey Hu

The Accenture Professorship of Information Technology
Management Information Systems

Education

Ph.D., Management Science, Information Technology, MIT Sloan School of Management
M.S., Economics, University of Wisconsin-Madison
B.S., Finance, Tsinghua University

CV

Yu Jeffrey Hu is a Full Professor and Accenture Chair at Purdue University’s Daniels School of Business. He is also a Distinguished Fellow of INFORMS Information Systems Society, and has been a Digital Fellow at MIT's Initiative on Digital Economy. He is a world-renowned expert on AI, analytics, digital economy, digital transformation, electronic commerce, omni-channel retailing, offline commerce, social media, and fintech. His research uses AI, econometric, and analytical models to quantify technology-driven user experience in environments such as electronic commerce, omni-channel retailing, offline commerce, social media, mobile app, fintech, and healthcare.

He coauthored the first paper discovering the "Long Tail" phenomenon in Internet markets, the first paper proving the value of social media in predicting stock markets, and the first paper using interpretable AI to quantify ROI of marketing campaigns. He has been an expert, consultant, or advisor for governments in the U.S., Europe, and Asia and many large companies around the world. He is frequently invited to speak at industry conferences.

His research has been published in top journals such as Management Science, Information Systems Research, Management Information Systems Quarterly, Review of Financial Studies, Marketing Science, and MIT Sloan Management Review. His research has been discussed and cited by media outlets such as Wall Street JournalNew York TimesReuters, Bloomberg, InformationWeekWired MagazineTIME Magazine, ForbesINC. Magazine, The Telegraph, National Public Radio, SeekingAlpha.comBankrate.com, etc. His papers have been adopted for classroom use by many top universities around the world.

He has won a number of research awards such as the inaugural Management Science Best Paper Award in Information Systems. He has also won a number of teaching awards, including Georgia Tech’s Course Instructor Opinion Survey Teaching Award and Fulltime MBA Elective Professor of the Year. He has been Georgia Tech’s Hesburgh Award Teaching Fellow and been nominated for Purdue University’s Teaching For Tomorrow Award. Student teams advised by him have won a number of national competitions.

He has built and led degree and non-degree programs and centers. For instance, he co-led the launch of Master of Science in Analytics, an MBA concentration and an undergraduate certificate in business analytics, and Business Analytics Center , and served as the degree’s Associate Director and the center’s co-Director. He has developed and taught executive education programs to many C-level executives.

He has mentored many PhD students and junior professors who have become tenured, full, or chair professors at top universities in the U.S., Europe, and Asia. He has been an Associate Editor for several top journals and organized several international conferences.

  • Driving Traffic: New Interpretable AI Model Aims to Improve Mall Performance

    Many malls are closing, affecting rent revenue. However, those that incorporate new technologies and AI tools are growing and opening branches in new cities, says Yu Jeffrey Hu, the Accenture Professorship of Information Technology at Purdue’s Mitchell E. Daniels, Jr. School of Business.

    Full story: Driving Traffic: New Interpretable AI Model Aims to Improve Mall Performance

  • Daniels School MIS faculty honored by leading research association

    Three faculty members in the Management Information Systems (MIS) area at Purdue University’s Mitchell E. Daniels, Jr. School of Business were recently recognized with awards from the INFORMS Information Systems Society (ISS), which seeks to foster, promote, and disseminate research on the use and impact of information technology in organizations.

    Full story: Daniels School MIS faculty honored by leading research association

Contact

yuhu@purdue.edu
Phone: (765) 494-4504
Office: RAWL 4003

Quick links

My LinkedIn Page
My SSRN Page
My Publications

Area(s) of Expertise

Artificial Intelligence, Business Analytics, Consumer Behavior, Data Analytics, Digital Economy, E-Commerce, Fintech, Information Technology, Social Media