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Data-driven decisions: Artificial intelligence-based experimental validation of ocean ecosystem services scale

2024-12-01Artigo científico Acesso aberto
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datacite.subject.fosCiências Sociais
datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg12:Produção e Consumo Sustentáveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorFigueiredo, Ronnie
dc.contributor.authorCabral, Pedro
dc.date.accessioned2025-12-04T10:52:02Z
dc.date.available2025-12-04T10:52:02Z
dc.date.issued2024-12-01
dc.description.abstractSeveral studies address the main topic of research, ecosystem services. It is also proven that decision-making in organizations generally involves a decision-maker, who assumes internal responsibility for the results. However, when the decision is collective, we need to think about the context of governance. How can we increase the sustainable decisions of ocean ecosystem services governance? When this decision is applied to ocean ecosystem services, in particular, we need a parameter. Therefore, the proposed scale is an initial guide for support key decision-makers decisions on the governance of ocean services ecosystems. The scale proposal with validation through classical linear regression, and supported by an artificial neural network, demonstrates the main variables that influence the decision and contribute to possible risk mitigations in terms of decisions.eng
dc.description.sponsorshipFunding Acnowledgement Statement: This work is financed by national funding through the FCT—Fundação para a Ciência e a Tecnologia, I. P., under the project “UIDB/04630/2020 (grant number).
dc.identifier.citationFigueiredo, R., & Cabral, P. Data-driven decisions: Artificial intelligence-based experimental validation of ocean ecosystem services scale. Int J Artif Intell ISSN, 2252(8938), 4179.
dc.identifier.doi10.11591/ijai.v13.i4.pp4178-4185
dc.identifier.issn2252-8938
dc.identifier.urihttp://hdl.handle.net/10400.8/14852
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInstitute of Advanced Engineering and Science
dc.relationResearch Unit in Business Sciences
dc.relation.hasversionhttps://ijai.iaescore.com/index.php/IJAI/article/view/25466/14318
dc.relation.ispartofIAES International Journal of Artificial Intelligence (IJ-AI)
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/
dc.subjectArtificial neural network
dc.subjectDecision makers
dc.subjectEcosystem services
dc.subjectGovernance
dc.subjectMeasurement
dc.subjectOcean
dc.subjectScale
dc.titleData-driven decisions: Artificial intelligence-based experimental validation of ocean ecosystem services scaleeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Unit in Business Sciences
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04630%2F2020/PT
oaire.citation.endPage4185
oaire.citation.issue4
oaire.citation.startPage4178
oaire.citation.titleIAES International Journal of Artificial Intelligence
oaire.citation.volume13
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFigueiredo de Andrade
person.givenNameRonnie Joshé
person.identifier.ciencia-idDD1A-4F90-0050
person.identifier.orcid0000-0002-6587-6113
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication333245f9-acf2-48d9-be4f-cea8d83bc464
relation.isAuthorOfPublication.latestForDiscovery333245f9-acf2-48d9-be4f-cea8d83bc464
relation.isProjectOfPublicationd01ea1c9-a017-48ec-9d8b-c59a0d1b9776
relation.isProjectOfPublication.latestForDiscoveryd01ea1c9-a017-48ec-9d8b-c59a0d1b9776

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