Synergistic effects and the co-existence of networks in clusters

Abstract

Network systems like clusters are characterized by the coexistence of relational architectures with ties and nodes of different nature. While recent research has analysed how a set of structural features shape the dynamics and effects of one cluster network, the outstanding question is to what extent such features and outcomes are influenced by the concomitance of distinct content-related linkages. This paper integrates both network and evolutionary economic geography perspectives to develop and test a model that links innovation performance with the benefits that stem from technical and business relations. Data collected in a biotech cluster in the Valencia region (Spain) demonstrate the changing effect of brokerage and overlapping ties on innovation as a function of knowledge shared. Findings extend the theoretical understanding of how knowledge diffuses in clusters and provide valuable insights for both practitioners and policy makers.

Keywords:

• Clusters
• innovation
• networks
• brokerage
• multiplexity
• biotechnology