We explore spatial price discrimination in the context of a ride-sharing platform that serves a
network of locations. Riders are heterogeneous in terms of their destination preferences and …

Economic growth in many countries is increasingly driven by successful startups that
operate as online platforms. These success stories have motivated us to define and classify …

Problem definition: This paper studies the information-sharing strategy for a retail platform
on which multiple competing sellers distribute their products. Academic/practical relevance …

Problem definition: We consider an intermediary's problem of dynamically matching demand
and supply of heterogeneous types in a periodic-review fashion. Specifically, there are two …

To expand users' scale and enhance competitiveness, many third-party platforms have
focused on investing in value-added service (VAS). This study focuses on bilateral VAS and …

We study digital multisided platforms as complex adaptive business systems (CABS) where
multiple sides have different and evolving objectives, preferences, and constraints. CABS …

Market thickness is a key parameter that can make or break a platform's business model.
Thicker markets can offer more opportunities for participants to meet and higher chances …

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 …

We explore the acquisition and flow of information in matching markets through a model of
college admissions with endogenous costly information acquisition. We extend the notion of …

In this chapter we provide an interpretive survey of recent work on endogenous information
structures, where the information that is obtained by agents–who knows what–is determined …