Age management for older worker research evolution and trends: A bibliometric analysis.
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| Title: | Age management for older worker research evolution and trends: A bibliometric analysis. |
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| Authors: | Nurani, Gita Aulia (AUTHOR), Lee, Ya-Hui (AUTHOR) |
| Source: | Educational Gerontology. Mar2026, Vol. 52 Issue 3, p253-275. 23p. |
| Subjects: | Personnel management, Job security, Employment of older people, Decision making, Descriptive statistics, Thematic analysis, Aging, Ageism, Bibliometrics, Management, Active aging, Retirement planning, Intergenerational relations |
| Abstract: | This article aims to further understand age management strategies for older workers, along with the key thematic themes that influence research in this field. To achieve this objective, a sample of 347 articles was obtained from the Web of Science database and then analyzed using bibliometric methods. Four types of analysis were used: performance analysis, the evolution of keywords, longitudinal analysis, and analysis by period. Based on the data available on the Web of Science, the time frame starts from 1997 to 2023. Each period showed different trends in response to organizational changes and global situations. Nevertheless, the cluster with the most significant number of articles only sometimes indicates well-developed themes. The current period, 2021 to 2023, concludes with some encouraging topics in human resource management, such as sustainable employment and intergenerational communication, that offer potential for further study. Suggestions from that period involve using quantitative methodologies to determine contextual factors of older workers, including a multidimensional approach to explore aging and economic welfare and applying qualitative approaches to explore stakeholder support for age management practices. [ABSTRACT FROM AUTHOR] |
| Copyright of Educational Gerontology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 191948511 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Age management for older worker research evolution and trends: A bibliometric analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nurani%2C+Gita+Aulia%22">Nurani, Gita Aulia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Ya-Hui%22">Lee, Ya-Hui</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Educational+Gerontology%22">Educational Gerontology</searchLink>. Mar2026, Vol. 52 Issue 3, p253-275. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Personnel+management%22">Personnel management</searchLink><br /><searchLink fieldCode="DE" term="%22Job+security%22">Job security</searchLink><br /><searchLink fieldCode="DE" term="%22Employment+of+older+people%22">Employment of older people</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Thematic+analysis%22">Thematic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Aging%22">Aging</searchLink><br /><searchLink fieldCode="DE" term="%22Ageism%22">Ageism</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Management%22">Management</searchLink><br /><searchLink fieldCode="DE" term="%22Active+aging%22">Active aging</searchLink><br /><searchLink fieldCode="DE" term="%22Retirement+planning%22">Retirement planning</searchLink><br /><searchLink fieldCode="DE" term="%22Intergenerational+relations%22">Intergenerational relations</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article aims to further understand age management strategies for older workers, along with the key thematic themes that influence research in this field. To achieve this objective, a sample of 347 articles was obtained from the Web of Science database and then analyzed using bibliometric methods. Four types of analysis were used: performance analysis, the evolution of keywords, longitudinal analysis, and analysis by period. Based on the data available on the Web of Science, the time frame starts from 1997 to 2023. Each period showed different trends in response to organizational changes and global situations. Nevertheless, the cluster with the most significant number of articles only sometimes indicates well-developed themes. The current period, 2021 to 2023, concludes with some encouraging topics in human resource management, such as sustainable employment and intergenerational communication, that offer potential for further study. Suggestions from that period involve using quantitative methodologies to determine contextual factors of older workers, including a multidimensional approach to explore aging and economic welfare and applying qualitative approaches to explore stakeholder support for age management practices. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Educational Gerontology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/03601277.2025.2486370 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 253 Subjects: – SubjectFull: Personnel management Type: general – SubjectFull: Job security Type: general – SubjectFull: Employment of older people Type: general – SubjectFull: Decision making Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Thematic analysis Type: general – SubjectFull: Aging Type: general – SubjectFull: Ageism Type: general – SubjectFull: Bibliometrics Type: general – SubjectFull: Management Type: general – SubjectFull: Active aging Type: general – SubjectFull: Retirement planning Type: general – SubjectFull: Intergenerational relations Type: general Titles: – TitleFull: Age management for older worker research evolution and trends: A bibliometric analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nurani, Gita Aulia – PersonEntity: Name: NameFull: Lee, Ya-Hui IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 03601277 Numbering: – Type: volume Value: 52 – Type: issue Value: 3 Titles: – TitleFull: Educational Gerontology Type: main |
| ResultId | 1 |