Ravi Bapna is an Indian-born American data scientist, digital transformationalist, business academic, executive educator and speaker. He is the Curtis L. Carlson Chair in Business Analytics and Information Systems, the Associate Dean for Executive Education and the Academic Director of the Carlson Analytics Lab and the Analytics for Good Institute at the University of Minnesota’s Carlson School of Management.
Bapna’s research falls in the areas encompassing social media, peer influence, monetization and design of Freemium communities, big-data analytics, online dating and matching, economics of information systems, human capital issues in the IT services industry, online auctions, e-market design, grid computing, and the design of the IT organization. He has also worked extensively on the emerging digital transformation of business and society, considering it as a giant global laboratory
Bapna is a member of several professional societies and organizations, including the Information Systems Society, where he was elected as president for 2013-2015. He also serves as a Senior Editor for Information Systems Research.
Education
Bapna received his Bachelor of Commerce degree from the University of Calcutta in 1989, and a bachelor’s degree in Computer Engineering from the Manipal Institute of Technology in 1993. He then moved to the United States, earning his Doctoral Degree in Information Systems from the University of Connecticut in 1999.
Career
Following his doctoral degree, Bapna started his career as an assistant professor at the University of Texas at Dallas in 1999. In the following year, he held appointment at Northeastern University as an assistant professor. In 2001, he joined the University of Connecticut as an assistant professor, and became an associate professor and Ackerman Scholar in 2004. From 2006 till 2008, he was appointed by the Indian School of Business as an associate professor of information systems. He then held appointment at the University of Minnesota, Twin Cities, as a tenured associate professor till 2010, and as Board of Overseers (Full) Professor till 2015.
During his tenure at the University of Minnesota, Bapna also held several administrative appointments. He served as a Department Chair for Information and Decision Science till 2015, as Program Director for MS-Business Analytics Program till 2017, and became an Academic Director of Carlson Analytics Lab, and Curtis L. Carlson Chair in Business Analytics and Information Systems in 2015, an Associate Dean for Executive Education in 2017, and Academic Director for Analytics for Good Institute in 2020. From 2012 to 2016, he was the founding academic co-director (with Professor Joe Konstan) of University of Minnesota's Social Media and Business Analytics Collaborative (SOBACO).
In 2021, Bapna was appointed as Area Leader of the Information Systems area at the Indian School of Business with the role of providing academic leadership and counsel to the ISB Dean Madan Pilutla.
Research
Bapna primarily focuses on big-data analytics, peer influence, social media, monetization and design of Freemium communities, online dating and matching, economics of information systems, online auctions, e-market design, and grid computing, etc.
Online auctions
In his study regarding online auctions, Bapna highlighted the weakness of the approaches where a majority of auctions are multiunit in nature, studied the largely ignored discrete and sequential nature of such auctions, and showed the non-uniformity of consumer bidding strategies. He explored the simulation approach, and examined the decision space for both bid takers and bid makers in web-based dynamic price setting processes. He also found out that hybrid strategies have the potential of significantly altering bidders' likelihood of winning, as well as their surplus. In 2020, he focused the allocative efficiency in online auctions, and improved the performance of multiple online auctions while using seek-and-protect agents. Furthermore, he demonstrated how the taxonomy of bidder behavior can be used to enhance the design of some types of information systems.