Implications for Human Resources Management from Labour Force Participation Rates of Countries by Education Level

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Özet

Labour force participation rates are a key indicator of economic structure, human capital development, and employment dynamics, with education level playing a crucial role in shaping workforce accessibility and productivity. This study examines the labour force participation rates across different education levels (basic, intermediate, high) in 34 European and surrounding countries between 2015 and 2023, aiming to provide strategic insights for human resources management (HRM). Using a quantitative approach, the study employs descriptive statistics and K-means clustering to analyse workforce segmentation, while Silhouette Scores assess the degree of convergence among countries over time. The findings indicate a significant decline in Labour force participation among individuals with lower education levels, particularly in countries such as Croatia and Latvia, whereas participation rates for highly educated individuals remain relatively stable. Additionally, clustering results suggest a gradual convergence in labour force dynamics, with certain countries shifting between clusters, reflecting structural shifts in workforce composition. These results highlight the need for targeted reskilling programs, flexible employment models, and education-driven labour policies to mitigate participation disparities. The study underscores the importance of international talent mobility, workforce digitalisation, and skill development initiatives in optimising HRM strategies. By providing an education-based labour market analysis, this research contributes to data-driven workforce planning and global HRM decision-making.

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dc.contributor.authorSımsek, Tugçe
dc.date.accessioned2026-10-22T10:52:15.075044870Z
dc.date.available2026-10-22T10:52:15.075044870Z
dc.date.issued2025
dc.description.abstractLabour force participation rates are a key indicator of economic structure, human capital development, and employment dynamics, with education level playing a crucial role in shaping workforce accessibility and productivity. This study examines the labour force participation rates across different education levels (basic, intermediate, high) in 34 European and surrounding countries between 2015 and 2023, aiming to provide strategic insights for human resources management (HRM). Using a quantitative approach, the study employs descriptive statistics and K-means clustering to analyse workforce segmentation, while Silhouette Scores assess the degree of convergence among countries over time. The findings indicate a significant decline in Labour force participation among individuals with lower education levels, particularly in countries such as Croatia and Latvia, whereas participation rates for highly educated individuals remain relatively stable. Additionally, clustering results suggest a gradual convergence in labour force dynamics, with certain countries shifting between clusters, reflecting structural shifts in workforce composition. These results highlight the need for targeted reskilling programs, flexible employment models, and education-driven labour policies to mitigate participation disparities. The study underscores the importance of international talent mobility, workforce digitalisation, and skill development initiatives in optimising HRM strategies. By providing an education-based labour market analysis, this research contributes to data-driven workforce planning and global HRM decision-making.
dc.identifier.eissn1306-3553
dc.identifier.endpage458
dc.identifier.issn1306-2174
dc.identifier.issue2
dc.identifier.startpage437
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/19539
dc.identifier.volume21
dc.language.isoen
dc.relation.ispartofEkonomik ve Sosyal Araştırmalar Dergisi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEğitim, Eğitim Araştırmaları
dc.subjectİşletme
dc.titleImplications for Human Resources Management from Labour Force Participation Rates of Countries by Education Level
dc.typeArticle
dspace.entity.typePublication
rdl.citation.trdizin0
rdl.source.indexTRDIZIN