Authors: By Geoff Easton; Christina Georgieva; Ian Wilkinson
A research program focusing on understanding and modelling the evolution of industrial networks is described which draws on recent theoretical and modeling advances in the area of artificial life and complex adaptive systems. The creation and evolution of the structure of industrial networks is seen to emerge through the on-going micro processes of action and interaction among and within firms. In this paper we focus attention on a particular class of models develop by Stuart Kauffman called NK Models, which permit key elements of industrial structures to be modelled effectively. Using this approach we develop a model of the interaction between dyadic relations in industrial networks. Future developments of this type of research are discussed as well as its implications for understanding, predicting and coping with the dynamics and development of industrial structures.
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Publish Year: 1997
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