Professor William Schmidt’s research examines how supply chain decisions influence and are influenced by information asymmetry between the firm and its constituents, including investors. He investigates the relationships between firm operational decisions and firm value and risk to advance our understanding of the factors that moderate these relationships and identify strategies that firms may adopt to better manage them. Much of his work is in the context of low probability, high impact operational disruptions. His research work includes projects with industry partners, such as Ford Motor Company, Emerson Electric Company, a large diversified manufacturer, and a large book retailer.
Schmidt teaches data analytics and modeling in the core MBA program at the Samuel Curtis Johnson Graduate School of Management at Cornell University. He received his doctorate from Harvard Business School in 2013 his Masters of Business Administration from the University of Florida, and his Bachelor of Science in aerospace engineering from the University of Florida. Before his doctoral studies, Schmidt was a product manager and consultant, primarily for Electronic Data Systems, FreeMarkets and Ariba.