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Coordination and Cooperation in Dyadic Relationships

Coordination and Cooperation in Dyadic Relationships A Markov model with a coordination parameter isdeveloped to depict coordination and cooperation decisionprocesses in 2 × 2 game relationships. The parameters ofthe model can be used to define and measure various forms ofinfluence. The model is applied to data collected using aprisoner's dilemma payoff structure to represent thesuperior-subordinate relationship. The results demonstrate theusefulness of the model and the measures of influence. Superiorsand subordinates are more likely to coordinate following mutualcooperation, achieving matching behaviors more frequently thanan independent-decisions model would predict. Subordinates showslightly more influence over leaders' behaviors than vice versa. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computational & Mathematical Organization Theory Springer Journals

Coordination and Cooperation in Dyadic Relationships

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References (72)

Publisher
Springer Journals
Copyright
Copyright © 1998 by Kluwer Academic Publishers
Subject
Business and Management; Management; Operation Research/Decision Theory; Artificial Intelligence (incl. Robotics); Sociology, general; Methodology of the Social Sciences
ISSN
1381-298X
eISSN
1572-9346
DOI
10.1023/A:1009605527435
Publisher site
See Article on Publisher Site

Abstract

A Markov model with a coordination parameter isdeveloped to depict coordination and cooperation decisionprocesses in 2 × 2 game relationships. The parameters ofthe model can be used to define and measure various forms ofinfluence. The model is applied to data collected using aprisoner's dilemma payoff structure to represent thesuperior-subordinate relationship. The results demonstrate theusefulness of the model and the measures of influence. Superiorsand subordinates are more likely to coordinate following mutualcooperation, achieving matching behaviors more frequently thanan independent-decisions model would predict. Subordinates showslightly more influence over leaders' behaviors than vice versa.

Journal

Computational & Mathematical Organization TheorySpringer Journals

Published: Sep 19, 2004

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