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Scheda pubblicazione

IdentificativoBelussiSamarra09,
Tipo di record
Si
Autore/iBelussi F ; Samarra A
Anno2009
TitoloBusiness Networks in Clusters and Industrial Districts. The Governance of the Global Value Chain
Libro
Pubblicazione ospite (in)
Altre InformazioniRoutledge.
Keywords separare key1:key2
AbstractThis book offers a deep insight into the evolution of these systems and the internal-external mechanism of knowledge circulation and learning. This means that the access to external knowledge (information or R&D cooperative research) or to productive networks (global supply chains) is studied in order to describe how external knowledge is absorbed and how local clusters or districts become global systems. It provides a unified approach; showing that existing capabilities expand when locally embedded knowledge is combined with accessible external knowledge. In this view, external knowledge linkages reduce the danger of cognitive ‘lock-in’ and ‘over-embeddedness’, which may become important obstacles to local learning and innovation when technological trajectories and global economic conditions change.
During the 1980s the Marshallian concept of industrial district (ID) became widely popular due to the resurgence of interest in the reasons that make the agglomeration of specialised industries a territorial phenomenon worth being analysed. The analysis of clusters and IDs has often been limited, considering only the local dimension of the created business networks. The external links of these systems have been systematically under-evaluated.
This book offers a deep insight into the evolution of these systems and the internal-external mechanism of knowledge circulation and learning. This means that the access to external knowledge (information or R&D cooperative research) or to productive networks (global supply chains) is studied in order to describe how external knowledge is absorbed and how local clusters or districts become global systems. It provides a unified approach; showing that existing capabilities expand when locally embedded knowledge is combined with accessible external knowledge. In this view, external knowledge linkages reduce the danger of cognitive ‘lock-in’ and ‘over-embeddedness’, which may become important obstacles to local learning and innovation when technological trajectories and global economic conditions change.
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Unità di ricerca interessataPadova - Dipartimento di scienze economiche
Workpackage(s) interessato(i)WP01-Modelli teorici reti
Documento del gruppo di ricercaSi

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