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  Vol. 3 No. 2

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Omwenga OV
 
Mwita NP


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African Journal of Mathematics and Computer Science Research Vol. 3(2), pp. 026030, February 2010 Available online at http://www.academicjournals.org/AJMCSR

ISSN 2006-9731 © 2010 Academic Journals 

 

 

Full Length Research Paper

 

Conflict resolution using statistical approach

 

O. Vincent Omwenga1 and N. Peter Mwita2*

 

1Augustana College P. O. Box 53942-00200, Nairobi, Kenya.

2Department of Statistic and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, P. O. Box 62000-00200, Nairobi, Kenya.

 

*Corresponding author. E-mail: peter_mwita@yahoo.com. Tel: +254715361570 or +254721429770 or +254206752218.

 

Accepted 30 December, 2009

 

   Abstract

 

Conflict can be described as a condition in which actions of one person prevent or compel some outcome at the resistance of the other. Quite often this can be seen as “two or more competing, often incompatible, responses to same event”. In this paper, a statistical approach to conflict resolution using the concept of bargaining game theory is presented. The approach gives chances of failure that are minimal since any offer made in a conflict situation is tied to the likelihood of it being accepted as it takes into considerations the demands from the other party. The approach presents a fair way of solving a conflict without affecting a system. An employer-employee relationship was used to illustrate the application of the approach.

 

Key words: Bargaining game theory, conflict, Ultimatum game.

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