NDLI: The Role of Emotions in Envisioning Outcomes in Conflict Analysis

Content Provider	Springer Nature Link
Author	Obeidi, Amer Hipel, Keith W. Kilgour, D. Marc
Copyright Year	2005
Abstract	A conceptual framework is proposed that accounts for the role of emotions in shaping conflict behavior. The isomorphism between the characteristics that define and drive conflict and those that engender emotions makes it feasible to reconcile emotions with current conflict analysis techniques. Building on Damasio's somatic markers hypothesis, the concept of possibility facilitates modeling the effects of emotion on the scenarios apprehended by the decision makers. Attention is focused on two subsets of the conventional set of feasible states, the hiddenstates that are invisible because of existing emotions (usually negative), and the possiblestates that are invisible because of missing emotions (usually positive). These new concepts can be incorporated within the Graph Model for Conflict Resolution. A model of the confrontation between the United States and North Korea over nuclear weapons demonstrates that the new concepts can simplify analysis and make new predictions that are consistent with the actual unfolding of events. Our main goals are to draw attention to the centrality of emotion in conflict and to the need for research on the incorporation of emotions into conflict analysis and resolution methods.
Starting Page	481
Ending Page	500
Page Count	20
File Format	PDF
ISSN	09262644
Journal	Group Decision and Negotiation
Volume Number	14
Issue Number	6
e-ISSN	15729907
Language	English
Publisher	Springer Netherlands
Publisher Date	2005-12-24
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	concept of possibility strategic conflict emotion Graph Model for Conflict Resolution appraisal theory Social Sciences Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Arts and Humanities Strategy and Management Social Sciences Management of Technology and Innovation Decision Sciences

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