A novel view on knowledge sharing in the agri-food sector

Abstract

Purpose

Nowadays, the agri-food sector is facing several challenges due to a rapid technological change which calls for knowledge sharing (KS) practices to enhance businesses’ performance. This has spurred a collaborative approach and the creation of networks. Since there still is a paucity of research on the quality degree of KS, the purpose of this study is to offer an empirical research on the quality degree of KS by exploring outcome expectations and social exchange dimensions. Theoretically, it is examined by a double lens of social capital and social cognitive theory.

Design/methodology/approach

This study offers an empirical analysis of 313 directors of 11 “consortia” in the agri-food sector in Italy by using the fuzzy expert system. The model allows to aggregate multi criteria dimensions of KS and rates its quality.

Findings

As resulted, the quality degree of KS is influenced by outcome expectations – personal and community expectations – and three forms of dimensions of social exchange: structural, relational and cognitive. The paper ends with a discussion of research findings, its limitations and implications.

Originality/value

As there is still a paucity of research on the determinants of quality degree of KS, the research adopts a double lens of social capital and social cognitive theories to explore what are these determinants.

Citation

Fait, M., Scorrano, P., Mastroleo, G., Cillo, V. and Scuotto, V. (2019), "A novel view on knowledge sharing in the agri-food sector", Journal of Knowledge Management, Vol. 23 No. 5, pp. 953-974. https://doi.org/10.1108/JKM-09-2018-0572