Ramesh Shankar

Associate Professor

Operations and Information Management

Education

Ph.D., NYU Stern School of Business, New York
MBA, IIM Ahmedabad, India
B.Tech., IIT Madras, India

Expertise

Research areas: Pricing and Licensing of Software and Digital Goods; Environmental Impact of Durable Goods; Online User Behavior.

Research methods: Game Theory, Industrial Organization Economics, Experimental Methods, Econometrics.

Biography

Ramesh Shankar is Associate Professor of Information Systems at the School of Business, University of Connecticut. His current research focuses on Big Data analytics, social media analytics, and the strategic analysis of durable goods innovation, and digital goods such as software, music and video games. His research has appeared in leading journals such as Information Systems Research, MIS Quarterly, Production & Operations Management, Marketing Science, and ACM Transactions. He has served as Associate Editor for MIS Quarterly, and has served as reviewer for ISR, MIS Quarterly, Management Science, Marketing Science, POMS, JMIS, DSS, and ACM Transactions. He has served as a management consultant with multinational corporations including ICICI, GE, PwC, Morgan Stanley, and Wipro Infotech. He has also taught courses on IT Strategy, Big Data Analytics, Business Information Systems and Database Management at UConn and NYU Stern. Ramesh has a Ph.D. from the Leonard N. Stern School of Business, NYU, an MBA from the Indian Institute of Management, Ahmedabad, and a B.Tech. from the Indian Institute of Technology-Madras, Chennai, India.

View Ramesh’s research on Google Scholar, Semantic Scholar and SSRN

Syllabi for recent and upcoming courses:

OPIM 5512: Data Science using Python (Fall 2023)

OPIM 5502: Big Data Analytics with Cloud Computing (Fall 2023)