Markdown as a pricing modality is ubiquitous in retail whereas everyday-low-price (EDLP) remains relatively rare (despite its several advantages, such as simplicity). Using a stylized model, we explore whether and why retailers can use either of these pricing modalities as an effective defense...

Diagnostic errors are prevalent and can result in severe patient harm. Identifying a correct diagnosis often necessitates significant diagnostic effort. Nonetheless, most physician payment schemes are procedure-based and do not account for diagnostic effort or accuracy, due to observability...

In this paper we develop an approach to dynamic pricing that combines ideas from data-driven and robust optimization to address the uncertain and dynamic aspects of the problem. In our setting, a firm offers multiple products to be sold over a fixed discrete time horizon. Each product sold...

In this paper, we develop a model for the adoption of solar photovoltaic technology by residential consumers. In particular, we assume consumers purchase these solar panels according to a discrete choice model. The technology adoption process is reinforced by network externalities such as...

We study the problem of optimizing a tree-based ensemble objective with the feasible decisions lie in a polyhedral set. We model this optimization problem as a Mixed Integer Linear Program (MILP). We show this model can be solved to optimality efficiently using Pareto optimal Benders cuts. For...

We study a model of competition with multiple suppliers who sell green technology products, such as electric vehicles. The government offers consumer subsidies to encourage adoption. We consider a setting where suppliers adjust price and production quantities depending on the level of subsidies...

We study strategic capacity investment problems in joint ventures (JVs) with fixed-rate revenue sharing contracts. We distinguish two types of JVs, depending on how individual resources determine the effective capacity of a JV. Despite its popularity across many industries, JVs tend to suffer...