We propose a method for estimating substitute and lost demand when only sales and product availability data are observable, not all products are displayed in all periods (e.g., due to stock-outs or availability controls), and the seller knows its aggregate market share. The model combines a...

We consider a multi-supplier, single-manufacturer supply chain where each supplier sells a different component at varying quality levels. The manufacturer has to decide on which quality level to choose for each component, trading-off the total cost and total quality. Each supplier decides on a...

Many firms have enjoyed remarkable success using revenue-sharing contracts to improve supply chain performance. The video rental industry and its pioneering deal with movie studios is one such example. At the same time, other firms have struggled to make it work. What accounts for this...

We develop a theoretical model of optimal growth in two-sided markets. The model posits that market output (number of transactions) is a function of the stock of supply and demand. This market output is modeled using a homogeneous function, which can have increasing or decreasing returns to...

Ride-sharing platforms face a “productivity paradox”, where any efficiency gained through improved dispatch or pricing strategies will not benefit drivers or riders. We show that this is a limit of the traditional ride-hailing model, and a consequence of the Hall-Horton driver equilibrium...

We consider a company selling heterogeneous products with prices customized for each customer and the final price is set by negotiations between sales agents and customers. This type of pricing modality is referred to as customized pricing with discretion and commonly used in insurance, consumer...

Customer choice behavior, such as "buy-up" and "buy-down", is an important phenomenon in a wide range of industries. Yet there are few models or methodologies available to exploit this phenomenon within yield management systems. We make some progress on filling this void. Specifically, we...

Bundle size pricing (BSP) is a multi-dimensional selling mechanism where the firm prices the size of the bundle rather than the different possible combinations of bundles. In BSP, the firm offers the customer a menu of different sizes and prices. The customer then chooses the size that maximizes...

We consider a class of online resource allocation problems in which there are n types of resources with limited initial inventory and n demand classes. The resources are flexible in that each type of resources can serve more than one demand class. In this paper, we focus on a special class of...

We study a submodular maximization problem motivated by applications in online retail. A platform displays a list of products to a user in response to a search query. The user inspects the first k items in the list for a k chosen at random from a given distribution, and makes a decision whether...