Reader in Operations Management
MBA, PhD (Case Western University)
Project management; knowledge management; business value of technology.
Subject group: Operations & Technology Management
Dr Sengupta has served as advisor on several projects with the US Government Department of Defense and NASA, and has consulted with organisations in Silicon Valley and Hong Kong. He has also worked at the AT&T Network Software Center (now LucentTechnologies) and Ernst & Young.
Dr Sengupta’s published research appears in journals in information technology and management, such as Management Science, MIS Quarterly, IEEE Transactions on Software Engineering, IEEE Transactions on Systems, Man, and Cybernetics, and IEEE Transactions on Engineering Management. He is currently working on a book on online electronic environments.
Prior to joining the School, Dr Kishore Sengupta was an Associate Professor of Information Systems at INSEAD. Before this he was on the faculty at the Naval Postgraduate School in Monterey, California, USA. In 1996-1997 he was a Visiting Scholar at the Hong Kong University of Science and Technology, Hong Kong.
Awards & honours
- Outstanding Award, Naval Postgraduate School, Monterey, 1999
van Oorschot, K.E., Sengupta, K. and Van Wassenhove, L.N. (2018) “Under pressure: the effects of iteration lengths on agile software development performance.” Project Management Journal, 49(6): 78-102 (DOI: 10.1177/8756972818802714)
Sengupta, K., Abdel-Hamid and Van Wassenhove, L. (2008) “The experience trap.” Harvard Business Review, 86(2): 94-101
Lajos, J., Chattopadhyay, A. and Sengupta, K. (2008) “When electronic recommendation agents backfire: negative effects on choice satisfaction, attitudes, and purchase intentions.” INSEAD Working Papers, No.2008/33/MKT. Fontainebleau: INSEAD.
Nissen, M.E. and Sengupta, K. (2006) “Incorporating software agents into supply chains: experimental investigation with a procurement task.” MIS Quarterly, 30(1): 145-166
Evgeniou, T. and Sengupta, K. (2003) “Kent County Council: implementing IT for e-government.” INSEAD Case Study.
Evgeniou, T. and Sengupta, K. (2002) “Cluster specific software effort estimation for multi-company datasets.” INSEAD Working Papers, No.2002/77/TN/RISE. Fontainebleau: INSEAD.