The evolution of cluster network structure and firm growth: a study of industrial software clusters

Hee Dae Kim (), Duk Hee Lee (), Hochull Choe () and Il Won Seo ()
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Hee Dae Kim: Korea Advanced Institute of Science and Technology
Duk Hee Lee: Korea Advanced Institute of Science and Technology
Hochull Choe: Korea Research Institute of Chemical Technology
Il Won Seo: Korea Advanced Institute of Science and Technology

Scientometrics, 2014, vol. 99, issue 1, No 6, 77-95

Abstract: Abstract Since the cluster began to receive attention as a critical environmental factor in geographical economics, it has provided a major research methodology across multiple disciplines from industrial organization, strategic management, regional innovation system, and Triple Helix to virtual clusters. Network structure analysis (NSA) offers a common framework to observe clusters that have been studied separately from the viewpoint of industrial organization and strategic management. Industrial structure analysis, is based on the externality of a network and the resource-based view, focused on the inherent network capacity, have been combined with the study of structural changes through cluster NSA, to create a new direction for the growth of industry and individual firms. This study aims to analyze the correlation between the networking of structural change and a firm’s performance by selecting a software industrial cluster as a representative case for the knowledge industry. We examine the network structural positions of each node during the cluster evolution process. This empirical study has significance for establishing a firm’s growth strategy as well as supporting the policy about clusters, through outlining the dynamic evolution process of the networking activities in a knowledge industry cluster.

Keywords: Cluster; Complexity; Triple Helix; Software; Network; Network structure analysis (search for similar items in EconPapers)
JEL-codes: C38 L16 L86 N95 (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s11192-013-1094-5

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