The DOI matches its Crossref record.
Skill gaps in the workplace: measurement, determinants and impacts
Abstract
Optimal training decisions require employers to have accurate information about their workers’ training needs. However, little is known with regard to the key factors determining the accurate transmission of worker training requirements. Using one of the few linked employer–employee surveys in the world, the 2006 Irish National Employment Survey, this article identifies the key factors determining the correct identification of skill gaps within firms. The impact of skill gaps on average training expenditures and labour costs is also measured. The research finds that both HRM and collective bargaining arrangements are important factors in facilitating the accurate identification of skill gaps within firms. The analysis confirms that skill gaps are a key determinant of training expenditures and tend to raise average labour costs. Finally, the evidence suggests that employee perceptions of skill gaps may be prone to higher levels of subjective bias relative to those based on the employers’ views.
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In the citing paper
“Based on the average responses, the areas where the most skills gaps were reported were identified (i.e. , information technology and communications, technology , and management).”
From The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations (2023) · cites this paper as McGuinness and Ortiz (2016)
In the citing paper
“The analyses and results support the added value of the skills gap identification methodology and the importance of a process of upgrading and retraining in areas that can be improved for business performance.”
From The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations (2023) · cites this paper as McGuinness and Ortiz (2016)
Citations
Cites
No references could be resolved yet.
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Cited by
The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations
Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023) · Informing Science: The International Journal of an Emerging Transdiscipline · doi:10.28945/5078 · Cited by 439
“A study conducted by McGuinness and Ortiz (2016) aimed to identify the key factors that determine the correct identification of skills gaps in an Irish company.”
Background
Metadata
- Authors
- McGuinness, S., & Ortiz, L.
- Affiliations
- Economic and Social Research Institute Whitaker Square, Sir John Rogerson's Quay Dublin Ireland
- Venue
- Industrial Relations Journal
- Publisher
- Wiley
- Published
- 2016-05
- Volume
- 47
- Issue
- 3
- Pages
- 253-278
- ISSN
- 0019-8692 (ISSN-L)
- 1468-2338
- OpenAlex
- W2239421371
- Cited by
- 72
- References
- 0
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 11 · 2023: 14 · 2022: 7 · 2021: 8 · 2020: 6 · 2019: 6 · 2018: 2 · 2017: 2
- FWCI
- 5.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Industrial Relations Journal (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Human Resource Development and Performance Evaluation
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Education › Education Systems and Policy
- Keywords
- skills gap, training needs, training costs, labor costs, human resource management, collective bargaining, subjective bias, employee perceptions
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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.