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The Proactive Shift in Managing an Older Workforce 2009–2017: A Latent Class Analysis of Organizational Policies
BACKGROUND AND OBJECTIVES: Longitudinal perspectives on how organizations react to workforce aging are missing in the literature. In this study, we fill this gap and ask how organizations deal with older workers, how their approaches change over time, and in which sectors of the economy and types of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7681210/ https://www.ncbi.nlm.nih.gov/pubmed/32364231 http://dx.doi.org/10.1093/geront/gnaa037 |
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author | Turek, Konrad Oude Mulders, Jaap Henkens, Kène |
author_facet | Turek, Konrad Oude Mulders, Jaap Henkens, Kène |
author_sort | Turek, Konrad |
collection | PubMed |
description | BACKGROUND AND OBJECTIVES: Longitudinal perspectives on how organizations react to workforce aging are missing in the literature. In this study, we fill this gap and ask how organizations deal with older workers, how their approaches change over time, and in which sectors of the economy and types of organizations the changes were most profound. RESEARCH DESIGN AND METHODS: Data come from two large-scale employer surveys: 2009 (n = 1,077) and 2017 (n = 1,358), representative for the Netherlands. We use a three-step group-comparison latent class analysis combined with a multinomial logistic model. RESULTS: We found four clusters of organizations based on their practices regarding older workers—those trying to activate and develop their employees (active), focusing solely on exit measures (exit), implementing a combination of development, accommodating and exit measures (all), and practicing no age management (none). We find a major shift in employers’ approaches to aging workforces between 2009 and 2017, with strong decreases in those that offered no age management (47%–30%) and those focusing on exit measures (21%–6%), and an increase in active organizations (19%–52%). Active age management is no longer concentrated in large and developing organizations, but has become a standard human resources tool economy-wide. DISCUSSION AND IMPLICATIONS: Overall, there is a long-term trend away from exit measures toward the application of proactive age management measures. More involvement of employers in retaining older adults in the workplace may signal a growing awareness of the changing demographic reality. |
format | Online Article Text |
id | pubmed-7681210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-76812102020-11-30 The Proactive Shift in Managing an Older Workforce 2009–2017: A Latent Class Analysis of Organizational Policies Turek, Konrad Oude Mulders, Jaap Henkens, Kène Gerontologist Older Workforce BACKGROUND AND OBJECTIVES: Longitudinal perspectives on how organizations react to workforce aging are missing in the literature. In this study, we fill this gap and ask how organizations deal with older workers, how their approaches change over time, and in which sectors of the economy and types of organizations the changes were most profound. RESEARCH DESIGN AND METHODS: Data come from two large-scale employer surveys: 2009 (n = 1,077) and 2017 (n = 1,358), representative for the Netherlands. We use a three-step group-comparison latent class analysis combined with a multinomial logistic model. RESULTS: We found four clusters of organizations based on their practices regarding older workers—those trying to activate and develop their employees (active), focusing solely on exit measures (exit), implementing a combination of development, accommodating and exit measures (all), and practicing no age management (none). We find a major shift in employers’ approaches to aging workforces between 2009 and 2017, with strong decreases in those that offered no age management (47%–30%) and those focusing on exit measures (21%–6%), and an increase in active organizations (19%–52%). Active age management is no longer concentrated in large and developing organizations, but has become a standard human resources tool economy-wide. DISCUSSION AND IMPLICATIONS: Overall, there is a long-term trend away from exit measures toward the application of proactive age management measures. More involvement of employers in retaining older adults in the workplace may signal a growing awareness of the changing demographic reality. Oxford University Press 2020-05-04 /pmc/articles/PMC7681210/ /pubmed/32364231 http://dx.doi.org/10.1093/geront/gnaa037 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Older Workforce Turek, Konrad Oude Mulders, Jaap Henkens, Kène The Proactive Shift in Managing an Older Workforce 2009–2017: A Latent Class Analysis of Organizational Policies |
title | The Proactive Shift in Managing an Older Workforce 2009–2017: A Latent Class Analysis of Organizational Policies |
title_full | The Proactive Shift in Managing an Older Workforce 2009–2017: A Latent Class Analysis of Organizational Policies |
title_fullStr | The Proactive Shift in Managing an Older Workforce 2009–2017: A Latent Class Analysis of Organizational Policies |
title_full_unstemmed | The Proactive Shift in Managing an Older Workforce 2009–2017: A Latent Class Analysis of Organizational Policies |
title_short | The Proactive Shift in Managing an Older Workforce 2009–2017: A Latent Class Analysis of Organizational Policies |
title_sort | proactive shift in managing an older workforce 2009–2017: a latent class analysis of organizational policies |
topic | Older Workforce |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7681210/ https://www.ncbi.nlm.nih.gov/pubmed/32364231 http://dx.doi.org/10.1093/geront/gnaa037 |
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