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EnglishThe paper investigates the impact of clusters, or localized networks involving industrial, academic and institutional players, in the life-science setting and aims to enrich the line of inquiry into cluster-based innovation by applying a social network analysis (SNA) approach. The cluster concept has been defined in ambiguous ways, corresponding to a large variety of spatial and organizational concrete configurations. We try to understand which of these configurations - i.e. what structural and nodal network characteristics of the cluster - are best suited to maximize the likelihood of clusters' innovation, from an intra-cluster and intercluster perspective. Quantitative methods are applied to relational and nodal data, using SNA and a regression model. The work sheds light on the factors that give rise to differential innovative outcomes across different clusters.
Localized networks and innovation in the life-science sector. Inter-cluster and intra-cluster dynamics / Chiara, D'Alise; Giustiniano, Luca. - (2013). ((Intervento presentato al convegno 29th EGOS (European Group for Organizational Studies) Colloquium tenutosi a Montreal, Canada nel 3-6 July 2013.
| Titolo: | Localized networks and innovation in the life-science sector. Inter-cluster and intra-cluster dynamics | |
| Autori: | ||
| Data di pubblicazione: | 2013 | |
| Citazione: | Localized networks and innovation in the life-science sector. Inter-cluster and intra-cluster dynamics / Chiara, D'Alise; Giustiniano, Luca. - (2013). ((Intervento presentato al convegno 29th EGOS (European Group for Organizational Studies) Colloquium tenutosi a Montreal, Canada nel 3-6 July 2013. | |
| Abstract: | The paper investigates the impact of clusters, or localized networks involving industrial, academic and institutional players, in the life-science setting and aims to enrich the line of inquiry into cluster-based innovation by applying a social network analysis (SNA) approach. The cluster concept has been defined in ambiguous ways, corresponding to a large variety of spatial and organizational concrete configurations. We try to understand which of these configurations - i.e. what structural and nodal network characteristics of the cluster - are best suited to maximize the likelihood of clusters' innovation, from an intra-cluster and intercluster perspective. Quantitative methods are applied to relational and nodal data, using SNA and a regression model. The work sheds light on the factors that give rise to differential innovative outcomes across different clusters. | |
| Handle: | http://hdl.handle.net/11385/67660 | |
| Appare nelle tipologie: | 04.1 - Contributo in Atti di convegno (Paper in Proceedings) |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| EGOS Full paper_D'Alise_Giustiniano.pdf | Documento in Pre-print | DRM non definito | Open Access Visualizza/Apri |
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