‘What could make me stay at work’: Retirement transition profiles

Detalhes bibliográficos
Autor(a) principal: Sousa, I. C.
Data de Publicação: 2022
Outros Autores: Ramos, S., Carvalho, H.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/25649
Resumo: Aging populations pose a persistent challenge to the sustainability of public pension systems. To tackle these financial pressures, many countries strengthen the incentives to work by increasing the statutory retirement age and reducing early retirement benefits. These policy reforms make retirement a topic of utmost importance for individuals, organizations, and societies. Although retirement predictors are already a widely studied topic in the literature, there is still much to investigate about why people decide to retire when they do. In particular, the role of work-related variables in the retirement decision-making process is still not fully understood. Thus, the aim of this study was to examine how individual and work factors influence retirement timing (early, on-time, and later retirement). Forty-one interviews were conducted, and data were subjected to content analysis. The inter-relationship between the multiple categories was analyzed by a Multiple Correspondence Analysis (MCA) combined with Cluster Analysis. Results revealed three distinct profiles, which allowed us to group the participants into three clusters. The stay factors profile (e.g., high positive experiences at work, having no dependents, the spouse/partner not being retired) was associated with later retirement. These results can be important for organizations that want and need to retain the best senior talents, by acknowledging that positive experiences at work are associated with older workers’ desire of postponing retirement.
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spelling ‘What could make me stay at work’: Retirement transition profilesRetirementRetirement timingRetirement transition profilesMultiple correspondence analysisCluster analysisAging populations pose a persistent challenge to the sustainability of public pension systems. To tackle these financial pressures, many countries strengthen the incentives to work by increasing the statutory retirement age and reducing early retirement benefits. These policy reforms make retirement a topic of utmost importance for individuals, organizations, and societies. Although retirement predictors are already a widely studied topic in the literature, there is still much to investigate about why people decide to retire when they do. In particular, the role of work-related variables in the retirement decision-making process is still not fully understood. Thus, the aim of this study was to examine how individual and work factors influence retirement timing (early, on-time, and later retirement). Forty-one interviews were conducted, and data were subjected to content analysis. The inter-relationship between the multiple categories was analyzed by a Multiple Correspondence Analysis (MCA) combined with Cluster Analysis. Results revealed three distinct profiles, which allowed us to group the participants into three clusters. The stay factors profile (e.g., high positive experiences at work, having no dependents, the spouse/partner not being retired) was associated with later retirement. These results can be important for organizations that want and need to retain the best senior talents, by acknowledging that positive experiences at work are associated with older workers’ desire of postponing retirement.Springer2022-06-12T00:00:00Z2023-01-01T00:00:00Z20232023-03-28T11:00:30Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/25649eng1046-131010.1007/s12144-021-01967-2Sousa, I. C.Ramos, S.Carvalho, H.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:26:49Zoai:repositorio.iscte-iul.pt:10071/25649Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:11:59.280478Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv ‘What could make me stay at work’: Retirement transition profiles
title ‘What could make me stay at work’: Retirement transition profiles
spellingShingle ‘What could make me stay at work’: Retirement transition profiles
Sousa, I. C.
Retirement
Retirement timing
Retirement transition profiles
Multiple correspondence analysis
Cluster analysis
title_short ‘What could make me stay at work’: Retirement transition profiles
title_full ‘What could make me stay at work’: Retirement transition profiles
title_fullStr ‘What could make me stay at work’: Retirement transition profiles
title_full_unstemmed ‘What could make me stay at work’: Retirement transition profiles
title_sort ‘What could make me stay at work’: Retirement transition profiles
author Sousa, I. C.
author_facet Sousa, I. C.
Ramos, S.
Carvalho, H.
author_role author
author2 Ramos, S.
Carvalho, H.
author2_role author
author
dc.contributor.author.fl_str_mv Sousa, I. C.
Ramos, S.
Carvalho, H.
dc.subject.por.fl_str_mv Retirement
Retirement timing
Retirement transition profiles
Multiple correspondence analysis
Cluster analysis
topic Retirement
Retirement timing
Retirement transition profiles
Multiple correspondence analysis
Cluster analysis
description Aging populations pose a persistent challenge to the sustainability of public pension systems. To tackle these financial pressures, many countries strengthen the incentives to work by increasing the statutory retirement age and reducing early retirement benefits. These policy reforms make retirement a topic of utmost importance for individuals, organizations, and societies. Although retirement predictors are already a widely studied topic in the literature, there is still much to investigate about why people decide to retire when they do. In particular, the role of work-related variables in the retirement decision-making process is still not fully understood. Thus, the aim of this study was to examine how individual and work factors influence retirement timing (early, on-time, and later retirement). Forty-one interviews were conducted, and data were subjected to content analysis. The inter-relationship between the multiple categories was analyzed by a Multiple Correspondence Analysis (MCA) combined with Cluster Analysis. Results revealed three distinct profiles, which allowed us to group the participants into three clusters. The stay factors profile (e.g., high positive experiences at work, having no dependents, the spouse/partner not being retired) was associated with later retirement. These results can be important for organizations that want and need to retain the best senior talents, by acknowledging that positive experiences at work are associated with older workers’ desire of postponing retirement.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-12T00:00:00Z
2023-01-01T00:00:00Z
2023
2023-03-28T11:00:30Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/25649
url http://hdl.handle.net/10071/25649
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1046-1310
10.1007/s12144-021-01967-2
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dc.publisher.none.fl_str_mv Springer
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