Towards a sport cluster model: the Ocean Racing Cluster in Brittany
Anna Gerke (),
Michel Desbordes () and
Geoff Dickson
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Anna Gerke: Audencia Recherche - Audencia Business School
Michel Desbordes: CIAMS - Complexité, Innovation, Activités Motrices et Sportives - UP11 - Université Paris-Sud - Paris 11 - UO - Université d'Orléans
Geoff Dickson: AUT - Auckland University of Technology
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Abstract:
Research question: This research develops deductively a conceptual framework for the detection and analysis of sport clusters. Research methods: We test this framework in the ocean racing cluster in Brittany, France. Primary data collection comprises 34 interviews and 8 observations. Secondary data consisted of organisational information and archival data. Data were analysed with NVivo. Results and findings: The suggested framework consists of location-specific factors (LSF) that determine the development and sustainability of a sport cluster and 10 types of cluster organisations (CLOR) as typical members. We find that all suggested LSF are relevant. Some CLOR receive less attention than others. Shipyards, professional sport organisations, governing bodies and marine equipment firms have key roles in the ocean racing cluster. Implications: The sport cluster framework is consistent and applicable to different contexts. Further sport cluster studies in different sports and countries are recommended to consolidate the concept and to enable practitioners to better understand and create sport clusters.
Keywords: location-specific factor; sport cluster; ocean racing; cluster organisation (search for similar items in EconPapers)
Date: 2015-04-03
New Economics Papers: this item is included in nep-spo
Note: View the original document on HAL open archive server: https://audencia.hal.science/hal-01139821v1
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Citations: View citations in EconPapers (5)
Published in European Sport Management Quarterly, 2015, 15 (3), pp.343-363. ⟨10.1080/16184742.2015.1019535⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01139821
DOI: 10.1080/16184742.2015.1019535
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