Motivated by online labor markets, we consider the online assortment optimization problem faced by a two-sided matching platform that hosts a set of suppliers waiting to match with a customer. Arriving customers are shown an assortment of suppliers, and may choose to issue a match request to one...

Motivated by ride-hailing marketplaces, we present a model of two-sided matching platforms that participate in a duopoly market with spatial frictions. Both platforms face disjoint streams of service requests, but they share the same resources on the supply side, i.e., suppliers multi-home. Due...

An important operational decision for online service platforms is how much control they have over pricing decisions. Motivated by recent regulations and increased public scrutiny on platform control, we study the effects of decentralized pricing using a fluid model of dynamic two-sided matching....

In centralized matching markets, such as kidney exchange schemes and car-pooling platforms, new participants constantly enter the market and remain available for potential matches during a limited period of time. To reach an efficient allocation, the "timing" of the matching decisions is a...

Two-sided matching platforms can control and optimize over many aspects of the search for partners. To understand how matching platforms should be designed, we introduce a dynamic two-sided search model with strategic agents who must bear a cost to discover their value for each potential...

Two-sided platforms rely on their recommendation algorithms to help visitors successfully find a match. However, on platforms such as VolunteerMatch - which has facilitated millions of connections between volunteers and nonprofits - a sizable fraction of website traffic arrives directly to a...