Knowledge networks in high-tech clusters: a multilevel perspective on interpersonal and inter-organizational collaboration

This study contributes to research on knowledge networks in high-tech clusters by adding a multilevel perspective. We show that while informal individual-level and formal organizational-level knowledge networks created by nested actors partly follow their own structural logic, they are at the same time logically intertwined. Interpersonal knowledge ties influence the maintenance of formal R&D collaborations and vice versa. To fully understand knowledge exchange in high-tech clusters it is therefore necessary to take a multilevel network perspective. Our study shows how these organizational-level and individual-level knowledge networks are mutually influential. Focusing on knowledge networks emerging in the context of regional clusters, we highlight how R&D collaborations among organizations impact the interpersonal exchange of knowledge among managers and researchers and vice versa. Taking a multilevel network perspective, we extend the existing understanding of knowledge networks by demonstrating that individuals who are willing to share their knowledge with colleagues belong to organizations involved in many R&D collaborations. These managers and their organizations thus benefit from each others’ central positions in the networks by having access to extensive sources of external knowledge. However, the opposite holds true when managers and researchers informally ask for knowledge from many of their colleagues. Our results show that extensive knowledge-seekers belong to organizations with fewer formal R&D collaborations. This can either be a sign of them trying to compensate for the lack of organizational-level collaborations or that they are harming their organizations’ chances to find collaboration partners. Finally, if two organizations collaborate on a joint R&D project there is a good chance that their managers and researchers also informally exchange knowledge with each other. Formal and informal knowledge networks thus overlap and open up the potential to realize synergies. We draw conclusions about whether individuals acquire knowledge independent of the opportunity structures provided by their organizations and thus fully exploit the possibilities provided by clusters

Entrepreneurship ecosystems and women entrepreneurs: A social capital and network approach

This study investigates the effects of venture typology, race, ethnicity, and past venture experience on the social capital distribution of women entrepreneurs in entrepreneurial ecosystems. Social network data from two municipal ecosystems in Florida, USA (Gainesville and Jacksonville), suggest that network connectivity and the distribution of social capital are significantly different for men and women entrepreneurs. This difference is contingent on the venture type.Male entrepreneurs show higher comparative scores of bridging social capital in aggressive- and managed-growth venture networks, while women entrepreneurs surpass their male counterparts’ bridging capital scores in lifestyle and survival venture networks. Lastly, experienced women entrepreneurs that self-identified as white showed a higher degree of network connectivity and bridging social capital in the entrepreneurial ecosystem than less experienced non-white female entrepreneurs. Implications for entrepreneurship practice and new research paths are discussed.info:eu-repo/semantics/publishedVersio