Each agent in a market needs to supplement his skill with a particular skill of another agent to complete his project. A platform matches the agents and allows members of the same match to share their skills. A match is valuable to an agent if he is matched with any agent who possesses a skill complementary to his own skill. When the platform uses the divide-and-conquer pricing strategy, we study the properties of incentive compatible mechanisms in relation to the reciprocal property of the complementary relationships among different skills, and when the market expands in its size
We introduce and study a model of an interacting population of agents who collaborate in groups whic...
Abstract. Matching and coalition formation are fundamental problems in a variety of scenarios where ...
A monopolist platform (the principal) shares profits with a population of affiliates (the agents), h...
Each agent in a market needs to supplement his skill with a particular skill of another agent to com...
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 informa-tion about (...
We study centralized many-to-many matching in markets where agents have private information about (v...
Loyalty programs are important tools for sharing platforms seeking to grow supply. Online sharing pl...
We study centralized many-to-many matching in markets where agents have private infor-mation about (...
We study operational problems related to the sharing economy. Sharing economy platforms such as Uber...
This paper develops a simple model of monopoly platform pricing accounting for two pertinent feature...
We study mediated many-to-many matching in dynamic two-sided markets in which agents private valuati...
In collaborating to compete, firms forge different types of strategic alliances: same function allia...
We analyze the trade-off between monopoly and competition in matching markets where one side is exem...
Negotiations are an important way of reaching agreements between selfish autonomous agents. In this ...
We introduce and study a model of an interacting population of agents who collaborate in groups whic...
Abstract. Matching and coalition formation are fundamental problems in a variety of scenarios where ...
A monopolist platform (the principal) shares profits with a population of affiliates (the agents), h...
Each agent in a market needs to supplement his skill with a particular skill of another agent to com...
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 informa-tion about (...
We study centralized many-to-many matching in markets where agents have private information about (v...
Loyalty programs are important tools for sharing platforms seeking to grow supply. Online sharing pl...
We study centralized many-to-many matching in markets where agents have private infor-mation about (...
We study operational problems related to the sharing economy. Sharing economy platforms such as Uber...
This paper develops a simple model of monopoly platform pricing accounting for two pertinent feature...
We study mediated many-to-many matching in dynamic two-sided markets in which agents private valuati...
In collaborating to compete, firms forge different types of strategic alliances: same function allia...
We analyze the trade-off between monopoly and competition in matching markets where one side is exem...
Negotiations are an important way of reaching agreements between selfish autonomous agents. In this ...
We introduce and study a model of an interacting population of agents who collaborate in groups whic...
Abstract. Matching and coalition formation are fundamental problems in a variety of scenarios where ...
A monopolist platform (the principal) shares profits with a population of affiliates (the agents), h...