We study the product design problem of a revenue-maximizing firm that serves a market where customers are heterogeneous with respect to their valuations and desire for a quality attribute, and are characterized by a perhaps novel model of customer choice behavior. Specifically, instead of...

We study the dynamic pricing problem of a monopolist firm in presence of strategic customers that differ in their valuations and risk preferences. We show that this problem can be formulated as a static mechanism design problem, which is more amenable to analysis. We highlight several structural...

Cross-selling is becoming an increasingly prevalent practice in call centers, due, in part, to its unique capability to allow firms to dynamically segment their callers and customize their product offerings accordingly. This paper considers a call center with cross-selling capability that serves...

We model an electronic limit order book as a multi-class queueing system under fluid dynamics, and formulate and solve a problem of limit and market order placement to optimally buy a block of shares over a short, predetermined time horizon. Using the structure of the optimal execution policy,...

Two products of unknown qualities are simultaneously launched by two different firms in the market. An infinite population of consumers with heterogeneous preferences sequentially decide whether to purchase one of the two products or not to buy at all. Arriving consumers estimate the qualities...

The composition of natural liquidity has been changing over time. An analysis of intraday volumes for the S&P500 constituent stocks illustrates that (i) volume surprises, i.e., deviations from their respective forecasts, are correlated across stocks, and (ii) this correlation increases during...

We study an aggregated marketplace where potential buyers arrive and submit requests-for-quotes (RFQs). There are n independent suppliers modelled as M=GI=1 queues that compete for these requests. Each supplier submits a bid that comprises of a fixed price and a dynamic target leadtime, and the...

We propose a tractable, data-driven demand estimation procedure based on the use maximum entropy (ME) distributions, and apply it a stochastic capacity control problem motivated from airline revenue management. Specifically, we study the two fare-class "Littlewood" problem in a setting where the...