Operations & Supply Chain Management

Many factors introduce the prospect of changes for the demand environment that a firm faces, with the specifics of such changes not necessarily known in advance. If and when realized, such changes affect the delicate balance between demand and supply and thus should be anticipated to the extent possible. We study the dynamic pricing problem of a retailer facing the prospect of a change in the demand function during a finite selling season with no inventory replenishment opportunity.

In many markets, it is common for headquarters to create a price list but grant local salespeople discretion to negotiate prices for individual transactions. How much (if any) pricing discretion headquarters should grant is a topic of debate within many firms. We investigate this issue using a unique data set from an indirect lender with local pricing discretion. We estimate that the local sales force adjusted prices in a way that improved profits by approximately 10% on average.

We are entering the 4th generation of TV, based on the online transmission of video. This article explores the emerging media system, its policy issues, and a way to resolve them. It analyzes the beginning of a new version of the traditional telecom interconnection problem. The TV system will be diverse in the provision of technology, standards, devices, and content elements. For reasons of interoperation, financial settlements, etc., this diversity will be held together by intermediaries that are today called cloud providers, and through whom much of media content will flow.

We study a scenario in which a firm designs the compensation contract for a salesperson who exerts unobservable effort to increase the level of uncertain demand and, jointly, the firm also decides the inventory level to be stocked. We use a newsvendor-type model in which actual sales depend on the realized demand but are limited by the inventory available, and unfulfilled demand cannot be observed. In this setup, under the optimal contract, the agent is paid a bonus for meeting a sales quota.

Many mobile applications retrieve content from remote servers via user generated queries. Processing these queries is often needed before the desired content can be identified. Processing the request on the mobile devices can quickly sap the limited battery resources. Conversely, processing user-queries at remote servers can have slow response times due to communication latency incurred during transmission of the potentially large query.  We evaluate a network-assisted mobile computing scenario where mid-network nodes with "leasing" capabilities are deployed by a service provider.

Systemic risk is an issue of great concern in modern financial markets as well as, more broadly, in the management of complex systems. We propose an axiomatic framework for systemic risk. Our framework allows for an independent specification of (1) a functional of the cross-sectional profile of outcomes across agents in the system in a single scenario of nature, and (2) a functional of the profile of aggregated outcomes across scenarios of nature.

We consider a repeated newsvendor problem in which the decision-maker (DM) does not have access to the underlying distribution of discrete demand. We analyze three informational settings: i) the DM observes realized demand in each period; ii) the DM only observes realized sales; and iii) the DM observes realized sales but also a lost sales indicator that records whether demand was censored or not. We analyze the implications of censoring on performance and key characteristics that effective policies should possess.

We consider price competition models for oligopolistic markets, in which a significant part of the product or service price is paid by a third party, as a subsidy. The consumer is, therefore, impacted by the net price, defined as the difference between the nominal price and the subsidy, while the firms earn the full nominal price, partially paid by the subsidizing third party and the remainder by the consumer.

We document a strong co-movement between the VIX, the stock market option-based implied volatility, and monetary policy. We decompose the VIX into two components, a proxy for risk aversion and expected stock market volatility ("uncertainty"), and analyze their dynamic interactions with monetary policy in a structural vector autoregressive framework. A lax monetary policy decreases risk aversion after about six months. Monetary authorities react to periods of high uncertainty by easing monetary policy. These results are robust to controlling for business cycle movements.