We consider an ordinal optimization problem, where a decision maker learns the statistical characteristics of a number of systems using sequential sampling in order to ultimately determine the "best" one (with high probability). In so doing, the decision maker postulates a parametric model which...

Problem definition: This paper explores budget allocation strategies for a multichannel ad campaign, where a marketing agency strives to maximize the total conversions by dynamically adjusting budget allocation over marketing channels. A salient feature of the problem is the interplay of...

This paper investigates the problem of information sharing between a retailer and a manufacturer in a supply chain. We develop a stylized model where a salient feature is that the product's quality is unknown but customers can infer it using a quality signal from customer-generated reviews. The...