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2024-09-05
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info:eu-repo/semantics/openAccess
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Editorial
Emerald insight
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3 citas en 
Resumen
Purpose – The existing literature highlights challenges in measuring social impact within
Social and Solidarity Economy organisations, particularly regarding the Social Return on
Investment (SROI) methodology. This paper aims to address the barriers to SROI
implementation while exploring the potential of artificial intelligence (AI) in enhancing
the measurement of social impact.
Design/methodology/approach – This review-based paper synthesises research on SROI
methodology limitations and recent AI developments, while focusing on ethical
considerations. Drawing from these domains, the study constructs a conceptual
framework to guide future research.
Findings – The study identifies necessary enhancements to existing AI systems for social
impact measurement and explores how advances in generative AI could refine current
tools and address SROI constraints. It advocates for open AI models to address ethical
concerns.
Originality – This study pioneers the integration of social impact assessment and AI, an
innovative intersection in the academic literature. The growing disparity between
academia and the rapidly evolving AI industry is highlighted and scholarly discourse is
enriched through theoretical deliberations and innovative technological solutions.
Descripción
The registered version of this article, first published in “Social Enterprise Journal", is available online at the publisher's website, Emerald: https://doi.org/10.1108/SEJ-03-2024-0050
Categorías UNESCO
Palabras clave
Social impact measurement, Social and Solidarity Economy, Social Return on Investment (SROI), Artificial intelligence (AI), Ethical considerations, Generative Artificial Intelligence, AI ethics
Citación
Abad-Itoiz N, Solórzano-García M, Hernández-Marí D (2025), "Innovative approaches to social impact measurement: a focus on the potential of artificial intelligence solutions". Social Enterprise Journal, Vol. 21 No. 2 pp. 336–353, doi: https://doi.org/10.1108/SEJ-03-2024-0050
Centro
Facultad de Ciencias Económicas y Empresariales
Departamento
Organización de Empresas