Family firm network strategies in regional clusters: evidence from Italy

Abstract Knowledge networks in regional clusters are fundamental to support innovation and local development. Within clusters, family firms key creating business opportunities supporting the establishment of inter-organizational networks. Yet, their role within for knowledge transfers is still not well understood, especially comparison with non-family firms. This paper applies Exponential Random Graph Models (ERGMs) network data collected from Parabiago cluster, one most important Italian footwear contribute a better understanding strategies We identify distinct associated cluster firms, accounting different exchange types: technological, market, managerial. In our modelling, we control firm-level attributes dyadic-level attributes, such as geographical distance cognitive proximity between Our results suggest that proneness grow highly robust relative firm relationships, irrespective types being exchanged. Moreover, tend establish connections other showing presence homophily networking approach; however, rather different, since they do have same homophilous approach when it comes These indicate nature ownership driving differences. feature family-only relationships may help managers policymakers devising more effective targeted strategies.