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Management Science
Article . 1986 . Peer-reviewed
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The Ability of Nash's Theory of Cooperative Games to Predict the Outcomes of Buyer-Seller Negotiations: A Dyad-Level Test

The ability of Nash's theory of cooperative games to predict the outcomes of buyer-seller negotiations: A dyad-level test
Authors: Scott A. Neslin; Leonard Greenhalgh;

The Ability of Nash's Theory of Cooperative Games to Predict the Outcomes of Buyer-Seller Negotiations: A Dyad-Level Test

Abstract

This research develops and implements a dyad-level procedure for testing whether the outcomes of buyer-seller negotiations correspond to settlements prescribed by Nash's theory of cooperative games. The procedure entails a multivariate statistical test in which some parameters are estimated by simulation, while others are provided directly from the assessment of negotiator utility functions by means of conjoint analysis. The procedure is applied to an experiment in which subjects participated in a realistic role-playing exercise that replicated the purchase of television advertising time. Results indicate that at the 0.01 significance level, 57.8% of the dyads can be rejected as not having achieved Nash solutions. These results, and their implications for marketing practitioners as well as future research, are discussed.

Related Organizations
Keywords

multitivariate statistical test, Cooperative games, buyer-seller negotiations, empirical test, marketing, channels, game theory, dyad-level procedure, experimental study, Nash solution

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Top 10%
Average
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