We study operational problems related to the sharing economy. Sharing economy platforms such as Uber offer the crowdsourced suppliers a wage for providing services/goods, and charge the customers a price for using them. In Chapter 2, we study the fixed commission rate contract practiced by many sharing economy platforms. We show that by using the optimal flat-commission contract, the platform achieves at least 75% of the optimal profit of the first-best benchmark, in which the platform freely chooses the price and wage under various market conditions. In Chapter 3, we consider a platform's problem of dynamically matching random demand and supply of heterogeneous types in a periodic-review fashion. The platform decides the optimal matching p...
We study centralized many-to-many matching in markets where agents have private infor-mation about (...
Shared mobility systems have gained significant attention in the last few decades due, in large part...
International audienceWe model the relation between an aggregator and consumers joining a coalition ...
We study operational problems related to the sharing economy. Sharing economy platforms such as Uber...
Existing models of two-sided markets explain why platforms charge different prices between buyers an...
Loyalty programs are important tools for sharing platforms seeking to grow supply. Online sharing pl...
Loyalty programs are important tools for sharing platforms seeking to grow supply. Online sharing pl...
The growth of the sharing economy is driven by the emergence of sharing platforms, e.g., Uber and Ly...
We study centralized many-to-many matching in markets where agents have private informa-tion about (...
We analyze the trade-off between monopoly and competition in matching markets where one side is exem...
We study centralized many-to-many matching in markets where agents have private information about (v...
In recent years, the sharing economy has experienced rapid growth across the globe in terms of the n...
We study pricing strategies in two-sided ride-sharing platforms that facilitate transactions between...
Platforms create value by matching participants on alternate sides of the marketplace. Although many...
A platform matches agents from two sides of a market to create a trading opportunity between them. T...
We study centralized many-to-many matching in markets where agents have private infor-mation about (...
Shared mobility systems have gained significant attention in the last few decades due, in large part...
International audienceWe model the relation between an aggregator and consumers joining a coalition ...
We study operational problems related to the sharing economy. Sharing economy platforms such as Uber...
Existing models of two-sided markets explain why platforms charge different prices between buyers an...
Loyalty programs are important tools for sharing platforms seeking to grow supply. Online sharing pl...
Loyalty programs are important tools for sharing platforms seeking to grow supply. Online sharing pl...
The growth of the sharing economy is driven by the emergence of sharing platforms, e.g., Uber and Ly...
We study centralized many-to-many matching in markets where agents have private informa-tion about (...
We analyze the trade-off between monopoly and competition in matching markets where one side is exem...
We study centralized many-to-many matching in markets where agents have private information about (v...
In recent years, the sharing economy has experienced rapid growth across the globe in terms of the n...
We study pricing strategies in two-sided ride-sharing platforms that facilitate transactions between...
Platforms create value by matching participants on alternate sides of the marketplace. Although many...
A platform matches agents from two sides of a market to create a trading opportunity between them. T...
We study centralized many-to-many matching in markets where agents have private infor-mation about (...
Shared mobility systems have gained significant attention in the last few decades due, in large part...
International audienceWe model the relation between an aggregator and consumers joining a coalition ...