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


POLATER A., Yumurtacı Hüseyinoğlu I. Ö., Kingshott R. P., Schepis D.

Journal of Business and Industrial Marketing, cilt.39, sa.7, ss.1433-1451, 2024 (SSCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 39 Sayı: 7
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1108/jbim-06-2023-0313
  • Dergi Adı: Journal of Business and Industrial Marketing
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, ABI/INFORM, Business Source Elite, Business Source Premier, INSPEC
  • Sayfa Sayıları: ss.1433-1451
  • Anahtar Kelimeler: Geographical indication networks, Governance mechanisms, Network performance, Relationship marketing, Social capital, Social exchange
  • Erzincan Binali Yıldırım Üniversitesi Adresli: Evet

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.