After decades of studies about pervasive, wide, and inclusive knowledge externalities and the advantages of being there, recent literature on management, industrial marketing, economic geography, regional studies, and related fields has stressed that knowledge spreads imperfectly, unevenly, and selectively within regional and cluster contexts. In this respect, little is known about the role played by heterogeneous knowledge ties among the same set of actors and to what extent they follow overlapping or different routes of exchanging knowledge. Thus, an investigation of multiple knowledge networks in clusters is a fundamental approach to interpret the reasons for innovation and economic performance. With an original dataset comprised of data collected by surveys directly administered in local wineries in the Montefalco wine region of Italy, this paper aims to analyse the roles played by different local knowledge ties within a sector that is critically driven by the exchange of knowledge among economic actors. Social network analysis and exponential random graph modelling were applied to investigate the driving forces of the knowledge flows. The empirical results showed that economic and social ties positively affect the spread of knowledge, but the former has a higher magnitude impact than the latter. Moreover, they follow complementary routes of exchange rather than overlapping ones. We suggest that such a structure has implications for understanding the diffusion of knowledge and structures of innovation in cluster contexts.

The role of multiple ties in knowledge networks: Complementarity in the Montefalco wine cluster

Maghssudipour A.;Lazzeretti L.;Capone F.
2020

Abstract

After decades of studies about pervasive, wide, and inclusive knowledge externalities and the advantages of being there, recent literature on management, industrial marketing, economic geography, regional studies, and related fields has stressed that knowledge spreads imperfectly, unevenly, and selectively within regional and cluster contexts. In this respect, little is known about the role played by heterogeneous knowledge ties among the same set of actors and to what extent they follow overlapping or different routes of exchanging knowledge. Thus, an investigation of multiple knowledge networks in clusters is a fundamental approach to interpret the reasons for innovation and economic performance. With an original dataset comprised of data collected by surveys directly administered in local wineries in the Montefalco wine region of Italy, this paper aims to analyse the roles played by different local knowledge ties within a sector that is critically driven by the exchange of knowledge among economic actors. Social network analysis and exponential random graph modelling were applied to investigate the driving forces of the knowledge flows. The empirical results showed that economic and social ties positively affect the spread of knowledge, but the former has a higher magnitude impact than the latter. Moreover, they follow complementary routes of exchange rather than overlapping ones. We suggest that such a structure has implications for understanding the diffusion of knowledge and structures of innovation in cluster contexts.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3472204
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