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

    Access Status
    Fulltext not available
    Authors
    Polater, Abdüssamet
    Hüseyinoğlu, Işık Özge Yumurtacı
    Kingshott, Russel
    Schepis, Daniel
    Date
    2024
    Type
    Journal Article
    
    Metadata
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    Citation
    Polater, A. and Hüseyinoğlu, I.Ö.Y. and Kingshott, R. and Schepis, D. 2024. Drivers of geographical indication food supply chain performance: a B2B network perspective. Journal of Business and Industrial Marketing.
    Source Title
    Journal of Business and Industrial Marketing
    DOI
    10.1108/JBIM-06-2023-0313
    ISSN
    0885-8624
    Faculty
    Faculty of Business and Law
    School
    School of Management and Marketing
    URI
    http://hdl.handle.net/20.500.11937/95094
    Collection
    • Curtin Research Publications
    Abstract

    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. 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. 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. 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.

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