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Reference no. 9-902-230
Published by: Harvard Business Publishing
Originally published in: 2002
Version: 18 June 2002
Length: 15 pages
Topics: Models; Negotiations

Abstract

This case highlights an application of current thoughts in complexity science to negotiation theory. It emphasizes a provocative approach that questions much of traditional negotiation research thus far. The case explains the roots of complexity science and some broad ideas and definitions, such as linearity versus nonlinearity, feedback loops, and chaos. It turns to a subset of complexity science - the study of complex adaptive systems. These systems have interactive feedback loops and critical junctures that affect the future course of the system. Also, they are highly adaptive and creative. Negotiations are complex, adaptive systems and should be studied at the micro, interactional scale. Five key lessons are drawn: 1) seemingly simple negotiations can take surprisingly different paths; 2) situations that appear complex may be driven by only a few key factors; 3) large patterns are often reflected in small ones; 4) complex adaptive systems, like negotiation, are not utterly random, yet neither do they have a fixed equilibrium; and 5) creativity is spawned at the chaotic edge.

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Abstract

This case highlights an application of current thoughts in complexity science to negotiation theory. It emphasizes a provocative approach that questions much of traditional negotiation research thus far. The case explains the roots of complexity science and some broad ideas and definitions, such as linearity versus nonlinearity, feedback loops, and chaos. It turns to a subset of complexity science - the study of complex adaptive systems. These systems have interactive feedback loops and critical junctures that affect the future course of the system. Also, they are highly adaptive and creative. Negotiations are complex, adaptive systems and should be studied at the micro, interactional scale. Five key lessons are drawn: 1) seemingly simple negotiations can take surprisingly different paths; 2) situations that appear complex may be driven by only a few key factors; 3) large patterns are often reflected in small ones; 4) complex adaptive systems, like negotiation, are not utterly random, yet neither do they have a fixed equilibrium; and 5) creativity is spawned at the chaotic edge.

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