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Article
Publication date: 17 February 2025

Paola Scorrano, Elena Borin, Alkis Thrassou, Federica Cavallo and Giovanni Mastroleo

The paper aims to interpret sustainable regional development (SRD) as an exchange ecosystem in which stakeholders provide reciprocal access to resources, benefiting both…

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Abstract

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.

Details

Journal of Knowledge Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1367-3270

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