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

Autor: Walter Vesperi, Raffaella Coppolino
Přispěvatelé: Walter Vesperi, Raffaella Coppolino
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Settore SECS-P/10 - Organizzazione Aziendale
knowldedge management
agri-food organization
systemic review
inter-organizational relationship "IORs"
Business
Management and Accounting (miscellaneous)

Food Science
Popis: PurposeThe 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/approachThis 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.FindingsThe 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/valueThe 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.
Databáze: OpenAIRE