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Dimensionality of the Causes of Churning: A Multivariate Statistical Analysis

2023Journal article Open access
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dc.contributor.authorAlexandra Chinita Pirrolas, Olga
dc.contributor.authorMiguel Alves Ribeiro Correia, Pedro
dc.date.accessioned2024-04-05T09:42:21Z
dc.date.available2024-04-05T09:42:21Z
dc.date.issued2023
dc.description.abstractThe present study was conducted in Portugal and had, as its object of study, workers from Portuguese companies belonging to several sectors of activity. The main goal of this study was the identification of the dimensions related to the causes of churning and to analyse its applicability in the management of human resources to promote individual and corporate welfare. Its specific targets were (a) to make a sociographic characterisation of the workers; (b) to make their professional characterisation; (c) to analyse the perception workers had in relation to the selected dimensions under study. Through the gathering of data per questionnaire, a sample consisting of 801 answers was considered. First, we resorted to a multivariate statistical analysis through the application of an Exploratory Factor Analysis (EFA) that allowed for the selection of the most relevant dimensions, followed by a descriptive statistical analysis on the collected sample and used items. Finally, we resorted to a TwoStep Cluster analysis that allowed for the identification of two Clusters of workers with a differentiated probability for the occurrence of churning.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPirrolas, O.A.C.; Correia, P.M.A.R. Dimensionality of the Causes of Churning: A Multivariate Statistical Analysis. Merits 2023, 3, 21–36. https://doi.org/10.3390/ merits3010002pt_PT
dc.identifier.doi10.3390/merits3010002pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/30577
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationUniversity of Coimbra Institute for Legal Research
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectChurning; Individual and Corporate Welfare; Dimensionality of Churning; Causes of Churning; TwoStep Cluster Analysispt_PT
dc.titleDimensionality of the Causes of Churning: A Multivariate Statistical Analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleUniversity of Coimbra Institute for Legal Research
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04643%2F2020/PT
oaire.citation.endPage36pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage21pt_PT
oaire.citation.titleMeritspt_PT
oaire.citation.volume3pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNamePirrolas
person.familyNameCorreia
person.givenNameOlga
person.givenNamePedro
person.identifier1512821
person.identifier421345
person.identifier.ciencia-id031B-6230-145A
person.identifier.ciencia-id4914-5E4E-AF20
person.identifier.orcid0000-0001-7914-4020
person.identifier.orcid0000-0002-3111-9843
person.identifier.scopus-author-id57201453710
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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