The purpose of our paper is to generalize the model by Arnott et al. (1990) to situations with a single origin and destination connected by two routes and to test the analytical results in an experiment with discrete time departure choices. The experimental evidence does not support the...

The purpose of our paper is to generalize the model by Arnott et al. (1990a) to situations with a single origin and destination connected by two routes and to test the analytical results in an experiment with discrete time departure choices. The experimental evidence does not support the...

This paper presents the results of an experiment performed to test the properties of an innovative bargaining mechanism (called automated negotiation) used to resolve disputes arising from Internetbased transactions. Automated negotiation is an online sealed-bid process in which an automated...

Automated negotiation process seems to be a powerful mechanism to resolve disputes arising from Internet-based transactions. Automated negotiation is an online blind-bidding process in which an automated algorithm evaluates bids from the parties and settles the case if the offers are within a...

This paper presents an experiment performed to test the properties of an innovativebargaining mechanism (called automated negotiation) used to resolve disputes arising fromInternet-based transactions. The main result shows that the settlement rule tends to chillbargaining as it creates...

A smart contract can be defined as a computer program, stored on a blockchain, which allows a transaction or an agreement-defined ex-ante-to be self-executed when some conditions are met, and without the need for a central authority to enforce it. Even if this new technology is very promising,...

This paper presents a model of litigation in the context of a labor contract. The main objective of our analysis is to determine whether and under which conditions it is efficient that the judiciary arbiters a labor conflict and how the judge's decision should be made in order to be optimal. We...