Adjustment and early retirement intentions of the older workers in the Croatian public sector
Croatian population and, consequently, Croatian labour force is rapidly ageing. With ageing comes the change in abilities e.g. decreasing productivity and declining cognitive ability. In the modern world, new applications of technologies transform requirements of jobs, thus workers have to adjust to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Faculty of Economics and Business in Osijek
2020-01-01
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| Series: | Ekonomski Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/348375 |
| _version_ | 1797330498622586880 |
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| author | Ana Štambuk Ivan Uroda Nikolina Anđelić |
| author_facet | Ana Štambuk Ivan Uroda Nikolina Anđelić |
| author_sort | Ana Štambuk |
| collection | DOAJ |
| description | Croatian population and, consequently, Croatian labour force is rapidly ageing. With ageing comes the change in abilities e.g. decreasing productivity and declining cognitive ability. In the modern world, new applications of technologies transform requirements of jobs, thus workers have to adjust to those novelties. The problem is that older workers are ‘digital immigrants’ who started using a Personal Computer (PC) later in their lives, often during employment, so they had to change their approach to work i.e., they had to adjust to different requirements of today’s jobs. Required adjustments accompanied by decreasing abilities may lead to early retirement. The authors have investigated the influence of 1) the need to adjust to the requirements of today’s jobs (approximated by requirements to use a PC) and 2) the ability to adjust to the requirements of today’s jobs (approximated by ratings of PC skills) on early retirement intentions of population aged 50+ employed in the Croatian public sector. A logistic regression model in the context of complex samples was created by the authors, whereby both analysed variables were found to be related to the early retirement intentions. Finally, those who were required to use a PC and thus to adjust to changes were more likely to want to retire early than employees who did not have the same obligation. Those with low PC skills, i.e. employees whose ability to adjust was low, were also more likely to retire early than those who have adjusted better. |
| first_indexed | 2024-03-08T07:20:40Z |
| format | Article |
| id | doaj.art-b23a2f7e67d14d35ae125d1c039a5dfb |
| institution | Directory Open Access Journal |
| issn | 0353-359X 1847-2206 |
| language | English |
| last_indexed | 2024-03-08T07:20:40Z |
| publishDate | 2020-01-01 |
| publisher | Faculty of Economics and Business in Osijek |
| record_format | Article |
| series | Ekonomski Vjesnik |
| spelling | doaj.art-b23a2f7e67d14d35ae125d1c039a5dfb2024-02-02T23:52:29ZengFaculty of Economics and Business in OsijekEkonomski Vjesnik0353-359X1847-22062020-01-01331175190Adjustment and early retirement intentions of the older workers in the Croatian public sectorAna Štambuk0Ivan Uroda1Nikolina Anđelić2University of Rijeka, Faculty of Economics and Business, Rijeka, CroatiaUniversity of Rijeka, Faculty of Economics and Business, Rijeka, CroatiaSchwetzingen, GermanyCroatian population and, consequently, Croatian labour force is rapidly ageing. With ageing comes the change in abilities e.g. decreasing productivity and declining cognitive ability. In the modern world, new applications of technologies transform requirements of jobs, thus workers have to adjust to those novelties. The problem is that older workers are ‘digital immigrants’ who started using a Personal Computer (PC) later in their lives, often during employment, so they had to change their approach to work i.e., they had to adjust to different requirements of today’s jobs. Required adjustments accompanied by decreasing abilities may lead to early retirement. The authors have investigated the influence of 1) the need to adjust to the requirements of today’s jobs (approximated by requirements to use a PC) and 2) the ability to adjust to the requirements of today’s jobs (approximated by ratings of PC skills) on early retirement intentions of population aged 50+ employed in the Croatian public sector. A logistic regression model in the context of complex samples was created by the authors, whereby both analysed variables were found to be related to the early retirement intentions. Finally, those who were required to use a PC and thus to adjust to changes were more likely to want to retire early than employees who did not have the same obligation. Those with low PC skills, i.e. employees whose ability to adjust was low, were also more likely to retire early than those who have adjusted better.https://hrcak.srce.hr/file/348375population ageingolder workersearly retirementPersonal Computer (PC) related requirements and skillspublic sectorearly retirement intentions and decisions |
| spellingShingle | Ana Štambuk Ivan Uroda Nikolina Anđelić Adjustment and early retirement intentions of the older workers in the Croatian public sector Ekonomski Vjesnik population ageing older workers early retirement Personal Computer (PC) related requirements and skills public sector early retirement intentions and decisions |
| title | Adjustment and early retirement intentions of the older workers in the Croatian public sector |
| title_full | Adjustment and early retirement intentions of the older workers in the Croatian public sector |
| title_fullStr | Adjustment and early retirement intentions of the older workers in the Croatian public sector |
| title_full_unstemmed | Adjustment and early retirement intentions of the older workers in the Croatian public sector |
| title_short | Adjustment and early retirement intentions of the older workers in the Croatian public sector |
| title_sort | adjustment and early retirement intentions of the older workers in the croatian public sector |
| topic | population ageing older workers early retirement Personal Computer (PC) related requirements and skills public sector early retirement intentions and decisions |
| url | https://hrcak.srce.hr/file/348375 |
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