Operations managers do not typically have full information about the demand distribution. Recognizing this, data-driven approaches have been proposed in which the manager has no information beyond the evolving history of demand observations. In practice, managers often have some partial...

This brief article discusses the important role quality transparency plays in the healthcare sector. It also describes some of the challenges faced by policymakers in improving transparency, and outlines a few solutions that they could apply

This chapter develops a novel approach to predict post-money valuation of startups across various regions and sectors, as well as their probabilities of success. Using startup funding data and descriptions from Crunchbase over a ten-year period, we develop two models linking information such as...

Markov Decision Processes (MDPs) have been widely used as invaluable tools in dynamic decision-making, which is a central concern for economic agents operating at both the micro and macro levels. Often the decision maker's information about the state is incomplete; hence, the generalization to...

A promising new model for the employee health plans of large firms bypasses insurers, instead using direct contracts with hospitals which have been designated as centers of excellence. The authors describe how combining this model with cutting edge analytics could revolutionize the delivery of...