Jaya Singhal, Ph.D.
Professor of Decision Science
The Frank Baker Chair for Research Excellence
Department of Information Systems and Decision Science
Office: Business Center 452
- Ph.D., University of Arizona
- M.S., Marathwada University
- B.S., Marathwada University
Jaya Singhal is a professor in the Department of Information Systems and Decision Science. Her research focuses on topics in Management Science, Supply Chain Management, and Operations Management.
Management Science, Supply Chain Management, Operations MAnagement
Management Science, Statistics, Supply Chain Management, Project Management
Singhal, J., Fortuin, L., Beek, P., & Wassenhove, L. v. (2013). Industrial Contributions. Springer. (Third Edition), 751-755.
Refereed Journal Articles
Singhal, J., Singhal, K., Roth, A., & Tang, C. S. (2016). Knowledge Creation and Dissemination in Operations and Supply-Chain Management. Production and Operations Management Journal. 25(9), 1473 - 1488.
Research in Progress
". A general theory of trade-and- innovation dynamics and its science, part 3: Uniform innovation, population increases, productivity catch up, and adding goods to trade" (Planning)
"A general theory of trade-and- innovation dynamics and its science, part 1: Fundamental theorems for a linear N-good model" (On-Going)
"A general theory of trade-and- innovation dynamics and its science, part 2: Impact of innovation in individual goods on the innovator and its trading partners" (On-Going)
"A general theory of trade-and- innovation dynamics and its science, part 4: Monopolistic competition, spending unequal share of income on difference goods, and a synthesis" (Planning)
"Design of the business school: critical role of research beyond the Pasteur’s quadrant" (Writing Results)
"Evidence of profound impact of academic research on practice and accelerating development of the sciences of management" (Writing Results)
"On the implied value of the customer’s waiting time and optimization of queues" (Writing Results)
"The impact of the Holt, Modigliani, Muth, and Simon model on production and employment smoothing" (On-Going)