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Human Capital Theory: Implications for HR Managers
Abstract
This paper reviews some of the contributions of and challenges to human capital theory. It focuses on the alleged link between earings and education and experience and on competing explanations for observed earning differentis by race and by gender. The review concludes that while human capital theory provides some central insights about the supply side of the labor market, the challenges to this theory suggest that the demand side od the market, i.e., the actions of human resource managers, also play a key role in detemining earnings and employment. Moreover, these challenges suggest that government policies can be instrmental in effecting a more efficient and equitable use of human resources.
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Cited by
A Critical Review and Best‐Practice Recommendations for Control Variable Usage
Bernerth, J. B., & Aguinis, H. (2016) · Personnel Psychology · doi:10.1111/peps.12103 · Cited by 1,731
THE RELATIONSHIPS OF AGE WITH JOB ATTITUDES: A META-ANALYSIS
NG, T. W. H., & FELDMAN, D. C. (2010) · Personnel Psychology · doi:10.1111/j.1744-6570.2010.01184.x · Cited by 819
Social Capital and Organizational Performance: Evidence from Urban Public Schools
Leana, C. R., & Pil, F. K. (2006) · Organization Science · doi:10.1287/orsc.1060.0191 · Cited by 680
Metadata
- Authors
- STROBER, M. H.
- Venue
- Industrial Relations: A Journal of Economy and Society
- Publisher
- Wiley
- Published
- 1990-03
- Volume
- 29
- Issue
- 2
- Pages
- 214-239
- ISSN
- 0019-8676 (ISSN-L)
- 1468-232X
- OpenAlex
- W2087824311
- Cited by
- 236
- References
- 0
- FWCI
- 5.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- STROBER, M. H. (1990). Human Capital Theory: Implications for HR Managers. Industrial Relations: A Journal of Economy and Society. https://doi.org/10.1111/j.1468-232x.1990.tb00752.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.