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A Life Cycle for Clusters?Micromotives and macrobehaviour — Dynamics of N/K systems

A Life Cycle for Clusters?: Micromotives and macrobehaviour — Dynamics of N/K systems 5.3 Clusters as N/K systems: Parameter definition and system dynamics 95 6 Micromotives and macrobehaviour – Dynamics of N/K systems When analysed from a complexity perspective, clusters become systems with emergent properties that are attributable to the activities of agents and the interde- pendencies between them. Furthermore, due to their openness to a specific envi- ronment, any stable behaviour of clusters can be disrupted by changes in the for- mer. As was established in the previous chapters, an understanding of the dynamics of clusters at the time of a disruption in their development is relevant from a short and a long-term perspective, thanks to the role of small events in de- ciding on the development trajectory following the change event – as well as the difficulty of reverting a trajectory, once it has been established. Moreover, the N/K model was found to provide a good means to analyse the role of architectural factors in clusters for their adaptation. This is due to its ability to account for both the characteristics of ideal-typical clusters, change and adaptation as well as the stylised empirical regularities discovered in case study research. In many instances, empirical research investigating the success factors of sur- http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Life Cycle for Clusters?Micromotives and macrobehaviour — Dynamics of N/K systems

Part of the Contributions to Economics Book Series
A Life Cycle for Clusters? — Jan 1, 2006
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Publisher
Physica-Verlag HD
Copyright
© Physica-Verlag Heidelberg 2006
ISBN
978-3-7908-1710-2
Pages
95 –108
DOI
10.1007/3-7908-1763-5_6
Publisher site
See Chapter on Publisher Site

Abstract

5.3 Clusters as N/K systems: Parameter definition and system dynamics 95 6 Micromotives and macrobehaviour – Dynamics of N/K systems When analysed from a complexity perspective, clusters become systems with emergent properties that are attributable to the activities of agents and the interde- pendencies between them. Furthermore, due to their openness to a specific envi- ronment, any stable behaviour of clusters can be disrupted by changes in the for- mer. As was established in the previous chapters, an understanding of the dynamics of clusters at the time of a disruption in their development is relevant from a short and a long-term perspective, thanks to the role of small events in de- ciding on the development trajectory following the change event – as well as the difficulty of reverting a trajectory, once it has been established. Moreover, the N/K model was found to provide a good means to analyse the role of architectural factors in clusters for their adaptation. This is due to its ability to account for both the characteristics of ideal-typical clusters, change and adaptation as well as the stylised empirical regularities discovered in case study research. In many instances, empirical research investigating the success factors of sur-

Published: Jan 1, 2006

Keywords: Nash Equilibrium; Local Search; Search Process; Agent Group; Selection Mechanism

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