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Family firm network strategies in regional clusters: evidence from Italy

Family firm network strategies in regional clusters: evidence from Italy

Ghinoi, Stefano ORCID: 0000-0002-9857-4736 , De Vita, Riccardo, Steiner, Bodo and Sinatra, Alessandro (2023) Family firm network strategies in regional clusters: evidence from Italy. Small Business Economics. ISSN 0921-898X (Print), 1573-0913 (Online) (doi:https://doi.org/10.1007/s11187-023-00755-5)

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Abstract

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

Item Type: Article
Uncontrolled Keywords: knowledge network; family firm; regional cluster; social network analysis; ERGM
Subjects: H Social Sciences > HB Economic Theory
Faculty / School / Research Centre / Research Group: Faculty of Business
Faculty of Business > Department of Systems Management & Strategy
Faculty of Business > Networks and Urban Systems Centre (NUSC)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Related URLs:
Last Modified: 29 Mar 2023 16:48
URI: http://gala.gre.ac.uk/id/eprint/39117

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