Problem Definition: In this paper, we develop a forecast anchoring model that explains and predicts order variability behavior in a multi-period newsvendor problem. Our model assumes that people anchor on random point forecast (hence the name) and insufficiently adjust toward the...

We study an original equipment manufacturer (OEM) purchasing two inputs for assembly from two suppliers with private cost information. The OEM can contract with the two suppliers either simultaneously or sequentially. We consider both cases in which the OEM has relatively equal bargaining power...

We investigate how different types of social information affect the demand characteristics of firms competing through service quality. We first generate behavioral hypotheses around both consumers' learning behavior and firms' corresponding demand characteristics: market share, demand...

When multiple retailers hold inventory to satisfy random demand, retailer inventory-sharing strategies can potentially reduce the demand-supply mismatch and increase overall supply chain performance. In this paper, we experimentally investigate alternative inventory-sharing strategies in a...

We investigate a bargaining setting between an "informed" player, who has private information, and an "uninformed" player. The informed player has the option to truthfully disclose its private information in two unique environments. In the first, the informed player is randomly matched with an...

Over the past two decades, researchers in operations management have increasingly leveraged laboratory experiments to identify key behavioral insights. These experiments inform behavioral theories of operations management, impacting domains including inventory, supply chain management, queuing,...

Problem Definition: Two increasingly popular disciplines applied in operations management are (a) machine learning, such as deep learning techniques (“ML”), and (b) behavioral science, notably human-subject experiments and behavioral modeling (“BSci”). Despite the overlap in how they are...

Behavioral inventory-management research leverages ideas and methodologies commonly used in behavioral economics and psychology to advance our understanding of the role of human behavior in inventory management. In this chapter, we first review some of the early papers in this area organized by...

When bidders incur a cost to learn their valuations, bidder entry can impact auction performance. Two common selling mechanisms in this environment are an English auction, and a sequential bidding process. Bulow and Klemperer (2009) show, theoretically, that sellers should prefer the auction,...