The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Expanding the resource based view model of strategic human resource management
Abstract
Strategic human resource management scholars have drawn on the resource-based view of the firm to argue that a high commitment human resource (HCHR) strategy leads to firm competitive advantage by creating greater firm-level employee-based resources that are rare and valuable. While there is early empirical support for this mediated model, prior studies have largely ignored two key aspects of the RBV perspective. First, extant research has not effectively explained why differences in employee-based resources persist across firms that have adopted the same firm-level HR strategy. Second, this body of research has largely ignored contemporary thinking on the RBV which suggests that employee-based resources only lead to competitive advantage when they are a fit to other organization capabilities that enable the firm to effectively orchestrate them for productive use. I draw on the literature on dynamic managerial capabilities to argue that CEO managerial cognition, social capital, and human capital help to explain when pursuing an HCHR strategy potentially leads to greater firm-level employee-based resources and when firms are able to effectively manage and deploy these employee-based resources for competitive advantage.
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Cites
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Cited by
Aftab, J., Abid, N., Cucari, N., & Savastano, M. (2023) · Business Strategy and the Environment · doi:10.1002/bse.3219 · Cited by 452
Rebooting employees: Upskilling for artificial intelligence in multinational corporations
Jaiswal, A., Arun, C. J., & Varma, A. (2022) · The International Journal of Human Resource Management · doi:10.1080/09585192.2021.1891114 · Cited by 382
Pereira, V., & Bamel, U. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.04.021 · Cited by 371
Chowdhury, S., Joel-Edgar, S., Dey, P. K., Bhattacharya, S., & Kharlamov, A. (2023) · The International Journal of Human Resource Management · doi:10.1080/09585192.2022.2066981 · Cited by 140
Metadata
- Authors
- Collins, C. J.
- Venue
- The International Journal of Human Resource Management
- Publisher
- Informa UK Limited
- Published
- 2020-01-10
- Volume
- 32
- Issue
- 2
- Pages
- 331-358
- ISSN
- 0958-5192 (ISSN-L)
- 1466-4399
- OpenAlex
- W2998825973
- Cited by
- 308
- References
- 70
- FWCI
- 44.22
- Type
- journal article
- Language
- en
- Open access
- closed
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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.