Operations and Information Management
- Ph.D., NYU Stern School of Business, New York
- MBA, IIM Ahmedabad, India
- B.Tech., IIT Madras, India
Economics of Digital Goods; IS Strategy; Enterprise IT, ERP, CRM, Data Management; Big Data Analytics, Econometrics, Machine Learning, Hadoop, Spark, Stata.
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, strategic analysis of digital goods such as software, music and video games, and the impact of information systems on business processes and the structure of firms. His research has appeared in leading journals such as Information Systems Research, Marketing Science, and ACM Transactions. He has served as Associate Editor for MISQ, and has served as reviewer for ISR, MISQ, 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, Wipro Infotech, providing strategy formulation and implementation, economic analysis of contracts, financial business process re-engineering, systems design and implementation to industries such as financial services, electric utilities, oil and gas, consumer electronics, and enterprise software. He has also taught courses on Big Data, business information systems and database management systems. 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.