TY - JOUR
T1 - Knowledge sharing between businesses and stakeholders for systemic and sustainable regional development. Insights in the agri-food sector
AU - Scorrano, Paola
AU - Borin, Elena
AU - Thrassou, Alkis
AU - Cavallo, Federica
AU - Mastroleo, Giovanni
N1 - Publisher Copyright:
© 2025, Emerald Publishing Limited.
PY - 2025
Y1 - 2025
N2 - Purpose: The paper aims to interpret sustainable regional development (SRD) as an exchange ecosystem in which stakeholders provide reciprocal access to resources, benefiting both individual and systemic levels. This paper suggests that knowledge, as a shared and value-transcribed critical resource, nourishes a community’s motivational system (CMS), orienting it toward SRD. This inherently raises questions regarding the nature of social business models (SBM) that can best support community’s motivational system, as well as their sustainable regional development derivatives. Design/methodology/approach: This paper employs the Fuzzy Expert System (FES) to analyze companies participating in the three most representative Italian consortia, aiming to empirically address the knowledge gap regarding the influence of social business model on sustainable regional development. Findings: Applying our theoretical framework to Agro-food Protection Consortia – a specific type of hybrid social, regional value-oriented business organization – this paper demonstrates that knowledge sharing along environmental, social and economic dimensions enhances sustainable regional development. Using the IF (condition) → THEN (action) logic of fuzzy method, the study identified knowledge exchange as a key condition motivating actors to contribute to sustainable regional development. This dynamic approach enables better alignment between stakeholders and regional goals. Originality/value: This paper presents practicable participatory strategic guidelines that balance informal and formal governance mechanisms with the catalytic and enhancing connection of strategic business initiatives for Sustainable Regional Development.
AB - Purpose: The paper aims to interpret sustainable regional development (SRD) as an exchange ecosystem in which stakeholders provide reciprocal access to resources, benefiting both individual and systemic levels. This paper suggests that knowledge, as a shared and value-transcribed critical resource, nourishes a community’s motivational system (CMS), orienting it toward SRD. This inherently raises questions regarding the nature of social business models (SBM) that can best support community’s motivational system, as well as their sustainable regional development derivatives. Design/methodology/approach: This paper employs the Fuzzy Expert System (FES) to analyze companies participating in the three most representative Italian consortia, aiming to empirically address the knowledge gap regarding the influence of social business model on sustainable regional development. Findings: Applying our theoretical framework to Agro-food Protection Consortia – a specific type of hybrid social, regional value-oriented business organization – this paper demonstrates that knowledge sharing along environmental, social and economic dimensions enhances sustainable regional development. Using the IF (condition) → THEN (action) logic of fuzzy method, the study identified knowledge exchange as a key condition motivating actors to contribute to sustainable regional development. This dynamic approach enables better alignment between stakeholders and regional goals. Originality/value: This paper presents practicable participatory strategic guidelines that balance informal and formal governance mechanisms with the catalytic and enhancing connection of strategic business initiatives for Sustainable Regional Development.
KW - Community motivational system
KW - Knowledge sharing
KW - Social business model
KW - Sustainable regional development
UR - http://www.scopus.com/inward/record.url?scp=85219201162&partnerID=8YFLogxK
U2 - 10.1108/JKM-05-2024-0517
DO - 10.1108/JKM-05-2024-0517
M3 - Article
AN - SCOPUS:85219201162
SN - 1367-3270
JO - Journal of Knowledge Management
JF - Journal of Knowledge Management
ER -