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Toward a Theory of Agenda Setting in Negotiations

Authors: Balakrishnan, P V; Patton, Charles; Lewis, Phillip A;

Toward a Theory of Agenda Setting in Negotiations

Abstract

To date, negotiation research in two-party situations has largely focused on single issues or on multiple issues bargained simultaneously. In this paper, we develop, from a behavioral perspective, a conceptual framework and an associated set of propositions concerning the influence and interaction of a number of factors on agenda setting. We examine the consequences of negotiating multiple issues sequentially as opposed to discussing them simultaneously. Specifically, we posit ( a ) conditions under which sequential versus simultaneous negotiations are advantageous, ( b ) conditions that promote and inhibit integrative agreements between parties involved in sequential negotiations, and ( c ) conditions that foster greater utility and timeliness to the negotiating parties. In addition, directions for future research and methodological guidelines for testing the propositions are discussed.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
26
Top 10%
Top 10%
Average
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