The Development of International Industry Clusters: A Complexity Theory Approach

Recent research on networks and clusters as distributive systems of knowledge is drawing on complexity theory as a way of explaining the knowledge processes involved in these organizational forms. It appears that complexity theory and its component concepts, such as coevolution and self-organization, can offer some meaningful insights into, and possible explanations for, knowledge phenomena associated with networks and clusters. Using a case study approach, this paper explores the development of a New Zealand based industry cluster from early formation to international expansion, with a particular focus on the creation and dissemination of knowledge within the cluster. The observations are reported and discussed in the context of complexity theory, drawing particularly on coevolutionary principles. It is suggested that these approaches provide a useful way of understanding the process of industry cluster development and the dynamics associated with international expansion. Copyright Springer Science + Business Media, Inc. 2005clusters, evolution, complexity theory, knowledge,