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Title of article :
The effects of network characteristics on performance of innovation clusters
Author/Authors :
Choi، نويسنده , , Jinho and Hyun، نويسنده , , Ahn Sang and Cha، نويسنده , , Min-Seok، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
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Abstract :
Industry clusters provide not only economic benefits but also technological innovation through networking within a cluster. In this study, we analyze network-specific structural and behavioral characteristics of innovation clusters with the intention of delving into differences in learning performance in clusters. Based on three representative networks of real world, scale-free, broad-scale, and single-scale networks, the learning performance of entire organizations in a cluster is examined by the simulation method. We find out that the network structure of clusters is important for the learning performance of clusters. Among the three networks, the scale-free network having the most hub organizations shows the best learning performance. In addition, the appropriate level of openness that maintains long-lasting diversity leads to the highest organizational learning performance. This study confirms the roles of innovation clusters and implies how each organization as a member of a cluster should run their organization.
Keywords :
Simulation , Innovation cluster , Network Structure , Openness , learning performance
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications
Serial Year :
Link To Document :