Pallab Sanyal is an associate professor of information systems at the School of Business at George Mason University. He received his PhD in information and decision sciences, and MBA in management of information systems and finance from the Carlson School of Management at University of Minnesota. He also holds a bachelor’s degree in computer science from Indian Institutes of Engineering Science and Technology, Shibpur, India.
His primary research interest lies in understanding how people make decisions in complex economic institutions and how the decisions are influenced by the design choices of the institutions. His research has been published in Management Science, MIS Quarterly, the Journal of Management Information Systems (JMIS), and the Journal of Operations Management (JOM) among other outlets. He has presented his research at many international conferences, including ICIS, WISE, WITS and INFORMS-CIST. At WITS, his papers were twice nominated for the best paper award. Sanyal's dissertation research won the Design Science Research Award from the INFORMS Information Systems Society. He has also received the best reviewer award from the Information Systems Society and Information Systems Research (ISR). In 2014, Sanyal was nominated for the Mason Emerging Researcher Award at George Mason University.
Sanyal teaches IT management, data mining, networks and security, and database management to Executive MBA, MBA, and undergraduate students. He teaches both traditional face-to-face as well as fully online courses. He has received multiple teaching awards at University of Minnesota, and has been nominated for multiple teaching awards at George Mason University. In 2014, Sanyal received a George Mason University Teaching Excellence Award.
Prior to joining academia, Sanyal worked as an information technology (IT) consultant for nine years—in India, Singapore, the UK, and the US. His industry experience includes programming, systems design and implementation, project management, and business analytics.
Sanyal is a member of the Association of Information Systems (AIS), and the Institute for Operations Research and the Management Sciences (INFORMS).
Presented the paper titled, “Jump Bidding in Combinatorial Auction Markets: A Laboratory Experiment” at the Workshop on Experimental and Behavioral Economics in Information Systems in West Lafayette, Indiana and at the Workshop on eBusiness in Auckland, New Zealand.
Nominated for a Teaching Award from George Mason University.
Received a Service Award from George Mason University in 2015.
Received a research award from George Mason University in 2015.
Received both a Teaching Award and Research Award from George Mason University in 2014.
Published an article titled, “User Acceptance of Complex Electronic Market Mechanisms: Role of Information Feedback” (with coauthors) in the Journal of Operations Management in 2013.
Published an article titled, “Competitive Bidding for Health Insurance Contracts: Lessons from the Online HMO Auctions” in the International Journal of Health Care Finance and Economics in 2012.
Published an article titled “Impact of Information Feedback in Combinatorial Auctions: An Experimental Study of Economic Performance” in MIS Quarterly.
Published an article titled, “Effect of Information Feedback on the Dynamics of Multisourcing Multiattribute Procurement Auctions” (with coauthors) in the Journal of Management Information Systems in 2012.
Published an article titled, “Effect of Information Feedback on Bidder Behavior in Continuous Combinatorial Auctions” (with coauthors) in the Management Science in 2012.
Presented the paper titled “Future of Health Insurance Procurement: Lessons from the Online HMO Auctions” at the Workshop on Health IT and Economics in Washington, District of Columbia in September.