Network structure and governance in sport clusters: a mixed methods analysis

Abstract : Research question: This study contributes to our understanding of how network structures influence cluster governance and consequently cluster outcomes. We investigate the relational structure of cross-sectoral sport clusters and how these influence network governance. Research methods: We employed a mixed methods approach, combining qualitative research data and social network analysis (SNA). Forty-nine interviews were conducted with employees from the surfing clusters in Aquitaine (France) and Torquay (Australia). The interview transcripts were subjected to two rounds of coding prior to SNA on an aggregated actor level. Results and findings: Findings from both clusters show the core is comprised of five actor types, while five other actor types are peripheral. The French case is a Network Administrative Organisation-governed Network while the Australian case is a Leading Group-governed Network. Implications: This article contributes to knowledge on network governance, more specifically on network governance in sport clusters. We extend existing theory on network governance by suggesting a fourth, intermediate mode of network governance, the leading group-governed network. Furthermore, our research provides insights for sport clusters, an under-researched context in interorganisational sport networks.