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Innovative approaches to social impact measurement: a focus on the potential of artificial intelligence solutions
(Emerald insight, 2024-09-05) Abad Itoiz, Nerea; Solórzano García, Marta; Hernández-Mari, Daniel
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.