Promoting youth banking: Application of machine learning

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dc.contributor.authorCordeiro, C.
dc.contributor.authorPinheiro, C.
dc.contributor.editorTawfiq Rkibi
dc.date.accessioned2025-09-03T09:41:20Z
dc.date.available2025-09-03T09:41:20Z
dc.date.issued2024
dc.date.updated2025-09-03T10:39:35Z
dc.description.abstractSocial responsibility and financial literacy have become priorities for financial institutions, regulators, and policymakers alike. However, the assignment of payment methods to young people, especially those aged between 13 and 17, follows different procedures by banks with nonuniform and not always clear criteria. Studies conducted on financial literacy or payment methods have not focused on this specific age group.por
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.event.date2024
dc.event.locationLisboapor
dc.event.titleNavigating the future of management
dc.event.typeConferênciapt
dc.identifier.citationCordeiro, C., & Pinheiro, C. (2024). Promoting youth banking: Application of machine learning. In T. Rkibi (Ed.), 2nd International Scientific Conference of Social Sciences and Technology School of Universidade Europeia: Abstracts (pp. 33-34). Universidade Europeia. http://hdl.handle.net/10071/35096
dc.identifier.isbn978-989-53943-9-5
dc.identifier.urihttp://hdl.handle.net/10071/35096
dc.language.isopor
dc.pagination33 - 34
dc.peerreviewedyes
dc.publisherUniversidade Europeia
dc.relation.ispartof2nd International Scientific Conference of Social Sciences and Technology School of Universidade Europeia: Abstracts
dc.rightsopen access
dc.subjectMachine learning -- Machine learningpor
dc.subjectFinancial literacypor
dc.subjectBankspor
dc.subjectPISApor
dc.titlePromoting youth banking: Application of machine learningpor
dc.typeconferenceObject
dspace.entity.typePublicationen
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-108866

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