Artikel
Centrality in networks of geographically proximate firms and competitive capabilities
We examine how a firm's centrality within a network of geographically proximate firms affects its competitive capabilities. Our study of the total population of one Spanish cluster of fishing firms shows that the effects of centrality on a firm's competitive capabilities are contingent on the effects of two relational characteristics of its direct ties: strength and degree of cognitive cohesion. Specifically, our results indicate that the centrality of a firm within the cluster network enhances its competitive capabilities as the strength of its direct ties increases. Furthermore, firms can capture the value of centrality for enhancing competitive capabilities with a combination of strong (or weak) direct ties and low (or high) degree of cognitive cohesion. We contribute to the network and strategy literatures by reconciling conflicting results with regard to the strategic benefits of a firm's centrality in a cluster and the relational characteristics of its direct ties.
- Sprache
-
Englisch
- Erschienen in
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Journal: BRQ Business Research Quarterly ; ISSN: 2340-9436 ; Volume: 23 ; Year: 2020 ; Issue: 4 ; Pages: 254-269 ; London: Sage Publishing
- Klassifikation
-
Management
Transactional Relationships; Contracts and Reputation; Networks
Renewable Resources and Conservation: Fishery; Aquaculture
General Regional Economics (includes Regional Data)
- Thema
-
Competitive capabilities
regional clusters
knowledge networks
network centrality
tie strength
tie cognitive cohesion
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Larrañeta, Bárbara
Molina-Morales, F. Xavier
Herrero, Ines
- Ereignis
-
Veröffentlichung
- (wer)
-
Sage Publishing
- (wo)
-
London
- (wann)
-
2020
- DOI
-
doi:10.1177/2340944420966864
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Larrañeta, Bárbara
- Molina-Morales, F. Xavier
- Herrero, Ines
- Sage Publishing
Entstanden
- 2020
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