Drivers of geographical indication food supply chain performance: a B2B network perspective

ArticleAçık Erişim

Özet

Purpose: This study aims to examine the role relational dynamics, grounded in the theories of social exchange and social capital, play within the context of geographic indication (GI) food supply chain network (FSCN) performance. Design/methodology/approach: A total of 30 qualitative interviews were undertaken with key informant stakeholders across a variety of organizations within Turkish GI FSCNs. An open, axial and selective grounded theory coding process was used for the analysis, teasing out critical themes that underpinned the conceptual framework. Findings: The findings identify the formal and informal mechanisms which govern GI FSCNs. These two forms of governance mechanisms influence network performance, which was found to comprise logistics, production, business and socio-economic performance dimensions. Transparency, GI traceability, trust and psychological contract violations were found to mediate the link between governance and network performance outcomes. Originality/value: To the best of the authors’ knowledge, this study is the first to explore GI FSCNs from the perspective of relationship marketing and through the lens of social exchange and social capital theory. Accordingly, both academics and practitioners can benefit from the study, as it unveils relevant relational factors underpinning such networks. © 2024, Emerald Publishing Limited.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/11792Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1108/jbim-06-2023-0313Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorPolater, Abdüssamet
dc.contributor.authorYumurtacı Hüseyinoğlu, Işık Özge
dc.contributor.authorKingshott, Russel PJ
dc.contributor.authorSchepis, Daniel
dc.date.accessioned2026-10-18T20:26:47.470021948Z
dc.date.available2026-10-18T20:26:47.470021948Z
dc.date.issued2024
dc.description.abstractPurpose: This study aims to examine the role relational dynamics, grounded in the theories of social exchange and social capital, play within the context of geographic indication (GI) food supply chain network (FSCN) performance. Design/methodology/approach: A total of 30 qualitative interviews were undertaken with key informant stakeholders across a variety of organizations within Turkish GI FSCNs. An open, axial and selective grounded theory coding process was used for the analysis, teasing out critical themes that underpinned the conceptual framework. Findings: The findings identify the formal and informal mechanisms which govern GI FSCNs. These two forms of governance mechanisms influence network performance, which was found to comprise logistics, production, business and socio-economic performance dimensions. Transparency, GI traceability, trust and psychological contract violations were found to mediate the link between governance and network performance outcomes. Originality/value: To the best of the authors’ knowledge, this study is the first to explore GI FSCNs from the perspective of relationship marketing and through the lens of social exchange and social capital theory. Accordingly, both academics and practitioners can benefit from the study, as it unveils relevant relational factors underpinning such networks. © 2024, Emerald Publishing Limited.
dc.identifier.doi10.1108/jbim-06-2023-0313
dc.identifier.eissn2052-1189
dc.identifier.endpage1451
dc.identifier.issn0885-8624
dc.identifier.issue7
dc.identifier.scopus2-s2.0-85193488785
dc.identifier.startpage1433
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/11792
dc.identifier.volume39
dc.identifier.wosWOS:001226890800001
dc.language.isoen
dc.publisherEmerald Publishing
dc.relation.ispartofJournal of Business and Industrial Marketing
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectGeographical indication networks
dc.subjectGovernance mechanisms
dc.subjectNetwork performance
dc.subjectRelationship marketing
dc.subjectSocial capital
dc.subjectSocial exchange
dc.titleDrivers of geographical indication food supply chain performance: a B2B network perspective
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus9
rdl.citation.wos8
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexSocial Science Citation Index (SSCI)