4.4 Review

Inter-organizational relationships in agri-food sector: a bibliometric review and future directions

Journal

BRITISH FOOD JOURNAL
Volume 125, Issue 1, Pages 82-95

Publisher

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/BFJ-06-2021-0712

Keywords

Knowledge management; Agri-food organization; Systemic review; Inter-organizational relationships IORs

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This study provides an academic overview of knowledge transfer in scientific institutions and agri-food organizations, emphasizing the importance of knowledge resources for inter-organizational relationship management in the agri-food sector.
Purpose The current competitive system, complex and rapidly changing, knowledge represents one of the main strategic resources for organizations. Agri-food organizations, traditionally characterized by low-knowledge management (KM) practices, are facing several challenges that require new knowledge to improve performance and their ability to survive. Since agri-food organizations are low-propensity R&D, they are forced into a collaborative approach and the creation of inter-organizational relationships (IORs) for knowledge transfer. The purpose of this study is to offer an overview of the academic literature on knowledge transfer within scientific institutions and agri-food organizations. Design/methodology/approach This study is based on a systematic literature review. In particular, two international and multidisciplinary databases (Scopus and WoS) were considered. Subsequently, the scientific documents were selected following the PRISMA guidelines. In addition, a scientific landscape visualization was created through VOSviewer software. Findings The study offers interesting reflections and suggestions on the management of inter-organizational relations in the agri-food sector. In particular, it highlights the importance of the knowledge resource in IORs. For this reason, IORs and KM represent a challenge for agri-food organizations. Originality/value The main limitation lies in its criteria for collecting and selecting articles. The study is based on the analysis of articles contained only in two scientific databases (Scopus and WoS) and refined by Business, Management and Accounting, Social Sciences and Economics, Econometrics and Finance areas.

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