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Innovative approaches to social impact measurement: a focus on the potential of artificial intelligence solutions

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dc.contributor.authorAbad Itoiz, Nerea
dc.contributor.authorSolórzano García, Marta
dc.contributor.authorHernández-Mari, Daniel
dc.date.accessioned2025-12-17T09:38:24Z
dc.date.available2025-12-17T09:38:24Z
dc.date.issued2024-09-05
dc.descriptionThe 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
dc.description.abstractPurpose – 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.en
dc.description.versionversión final
dc.identifier.citationAbad-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
dc.identifier.doihttps://doi.org/10.1108/SEJ-03-2024-0050
dc.identifier.eissn1750-8533
dc.identifier.issn1750-8614
dc.identifier.urihttps://hdl.handle.net/20.500.14468/31187
dc.journal.issue2
dc.journal.titleSocial Enterprise Journal
dc.journal.volume21
dc.language.isoen
dc.page.final353
dc.page.initial336
dc.publisherEmerald insight
dc.relation.centerFacultad de Ciencias Económicas y Empresariales
dc.relation.departmentOrganización de Empresas
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject5311 Organización y dirección de empresas
dc.subject.keywordsSocial impact measurementen
dc.subject.keywordsSocial and Solidarity Economyen
dc.subject.keywordsSocial Return on Investment (SROI)en
dc.subject.keywordsArtificial intelligence (AI)en
dc.subject.keywordsEthical considerationsen
dc.subject.keywordsGenerative Artificial Intelligenceen
dc.subject.keywordsAI ethicsen
dc.titleInnovative approaches to social impact measurement: a focus on the potential of artificial intelligence solutionsen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublication93ff404b-cb4b-44e8-8ffc-e7cd5075a30c
relation.isAuthorOfPublication346b8d73-c1e4-43ba-a586-dbfb99aa9e90
relation.isAuthorOfPublication.latestForDiscovery93ff404b-cb4b-44e8-8ffc-e7cd5075a30c
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