The chapter investigates the impact of some network characteristics – cluster density and bridging ties between clusters – on clusters’ innovative performance and applies a contingency approach. In particular, it explores how contingencies, such as nodes' heterogeneity and geographical distance, moderate the main relation between network characteristics and clusters’ innovation. The analysis is carried out in the context of the U.S. life science clusters. The work tries to contribute to the bonding vs. bridging debate (Tan et al. 2015) by introducing contingency factors and to identify network configurations that maximize the clusters' innovative outcomes.

Network characteristics and cluster innovative performance / D'Alise, Chiara; Giustiniano, Luca. - (2016), pp. 80-103.

Network characteristics and cluster innovative performance

D'ALISE, CHIARA;GIUSTINIANO, LUCA
2016

Abstract

The chapter investigates the impact of some network characteristics – cluster density and bridging ties between clusters – on clusters’ innovative performance and applies a contingency approach. In particular, it explores how contingencies, such as nodes' heterogeneity and geographical distance, moderate the main relation between network characteristics and clusters’ innovation. The analysis is carried out in the context of the U.S. life science clusters. The work tries to contribute to the bonding vs. bridging debate (Tan et al. 2015) by introducing contingency factors and to identify network configurations that maximize the clusters' innovative outcomes.
9781138124530
networks; clusters; contingency factors; performance
Network characteristics and cluster innovative performance / D'Alise, Chiara; Giustiniano, Luca. - (2016), pp. 80-103.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11385/160720
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