Figueiredo, RonnieCabral, Pedro2024-11-042024-11-042024-122089-4872PURE: 102427592PURE UUID: 3f69847b-14d0-4c41-9481-d093c0d5f837Scopus: 85207476578ORCID: /0000-0001-8622-6008/work/170994537http://hdl.handle.net/10362/174560Figueiredo, R., & Cabral, P. (2024). Data-driven decisions: Artificial intelligence-based experimental validation of ocean ecosystem services scale. IAES International Journal of Artificial Intelligence, 13(4), 4178-4185. https://doi.org/10.11591/ijai.v13.i4.pp4178-4185 --- 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)Several 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.8552557engArtificial neural networkDecision makersEcosystem servicesGovernanceMeasurementOceanScaleControl and Systems EngineeringInformation Systems and ManagementArtificial IntelligenceElectrical and Electronic Engineeringjournal article10.11591/ijai.v13.i4.pp4178-4185https://www.scopus.com/pages/publications/85207476578