Online Dispute Resolution and Bargaining
Yannick Gabuthy ()
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Yannick Gabuthy: GATE - Groupe d'analyse et de théorie économique - UL2 - Université Lumière - Lyon 2 - ENS LSH - Ecole Normale Supérieure Lettres et Sciences Humaines - CNRS - Centre National de la Recherche Scientifique
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Abstract:
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 prescribed range.\ Following the arguments of the dispute resolution professionals, the main advantage of this procedure is to promote ''natural'' agreements by restoring the parties' right to negotiate on their own, without the presence of a third party in the shadow of negotiations. Our purpose is to investigate this issue by modelling the automated negotiation process as a two-person bargaining game under incomplete information. A first result states that, given incomplete information, not all mutually beneficial agreements can be attained via the procedure. Furthermore, the settlement rule has a drastic effect on the players' strategies, which induce that the automated negotiation process does not significantly increase the likelihood of a settlement. The ability of the procedure to generate efficiency is only due to the costs imposed on parties if a disagreement occurs, that is the combination of players' risk aversion and uncertainty.
Keywords: arbitration; bargaining; double auction; incomplete information; online dispute resolution; arbitrage; double enchère; information incomplète; négociation; résolution des conflits en ligne (search for similar items in EconPapers)
Date: 2003-05
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00178556
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Citations: View citations in EconPapers (3)
Published in 2003
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00178556
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