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Senior Potential Analysis: A Challenge that Contributes to Social Sustainability

dc.contributor.authorGuarda, Teresa
dc.contributor.authorMota Pinto, Filipe
dc.contributor.authorCordova, Juan Pablo
dc.contributor.authorAugusto, Maria Fernanda
dc.contributor.authorMato, Fernando
dc.contributor.authorQuiña, Geovanni Ninahualpa
dc.date.accessioned2025-10-31T11:52:51Z
dc.date.available2025-10-31T11:52:51Z
dc.date.issued2016
dc.description.abstractPopulation aging is one of the greatest triumphs of humanity, also is both a major challenge. The number of older workers in the European Union (EU) will increase over the next decades, the active population of the EU points to a growth of approximately 16.2% of the age group of 55-64 years between 2010 and 2030, being contrary to tendency of other age groups, with a reduction of 4% to 5%. This demographic change is due to the decline in fertility rates and increased life expectancy. The labor force in Europe will reach age levels never before registered in that older workers represent more than 30% of the active population. In this paper, based on the questionnaire results, brought out by "harnessing the potential senior", which was applied in enterprises in Portugal. It is intended to address some of the concerns related to the aging population and the use of senior potential, facing this problem as a challenge that contributes to social sustainability. Thus, the senior potential should be seen as a very important contribution. In this paper, we intend extract the survey data from data bases, for knowledge discovery and analysis using the data mining tool Weka.eng
dc.description.sponsorshipThe authors thank Prometeo Project of SENESCYT (Ecuador) for financial support.
dc.identifier.citationGuarda, T., Pinto, F.M., Cordova, J.P., Augusto, M.F., Mato, F., Quiña, G.N. (2016). Senior Potential Analysis: A Challenge that Contributes to Social Sustainability. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9786. Springer, Cham. https://doi.org/10.1007/978-3-319-42085-1_52
dc.identifier.doi10.1007/978-3-319-42085-1_52
dc.identifier.isbn9783319420844
dc.identifier.isbn9783319420851
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10400.8/14441
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer International Publishing
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-319-42085-1_52
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.ispartofComputational Science and Its Applications – ICCSA 2016
dc.rights.uriN/A
dc.subjectActive aging
dc.subjectSenior potential
dc.subjectData mining
dc.subjectWeka
dc.titleSenior Potential Analysis: A Challenge that Contributes to Social Sustainabilityeng
dc.typebook part
dspace.entity.typePublication
oaire.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
oaire.citation.volume9786
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMota Pinto
person.givenNameFilipe
person.identifier.orcid0000-0001-7634-0296
relation.isAuthorOfPublication908ef8f4-823a-41fd-8184-287f872b943c
relation.isAuthorOfPublication.latestForDiscovery908ef8f4-823a-41fd-8184-287f872b943c

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