The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
The Fourth Industrial Revolution: Issues and Implications for Career Research and Practice
Open accessAbstract
The accelerating digitization and automation of work, known as the 4th industrial revolution, will have an enormous impact on individuals’ career experiences. Yet, the academic literature in vocational psychology and career research has been remarkably silent on this trend so far. This article summarizes some of the most important issues of the 4th industrial revolution as they pertain to career development. The author then critically reviews how current models and frameworks of career development are suitable for addressing these emerging issues. Opportunities for future career development research and practice are outlined.
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Cites
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Toward a Unifying Social Cognitive Theory of Career and Academic Interest, Choice, and Performance.
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“Because the boundaries of which tasks can be automated are expanding rapidly, job polarization is likely also to continue with increased pressure on higher-skilled jobs (Autor, 2015).”
BackgroundInfluentialThe growth of low-skill service jobs and the polarization of the US labor market
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Cited by
Influences of artificial intelligence (AI) awareness on career competency and job burnout
Kong, H., Yuan, Y., Baruch, Y., Bu, N., Jiang, X., & Wang, K. (2021) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-07-2020-0789 · Cited by 448
COVID ‐19 crisis and SMEs responses: The role of digital transformation
Klein, V. B., & Todesco, J. L. (2021) · Knowledge and Process Management · doi:10.1002/kpm.1660 · Cited by 446
Intolerance of Uncertainty, Anxiety, and Career Indecision: A Mediation Model
Arbona, C., Fan, W., Phang, A., Olvera, N., & Dios, M. (2021) · Journal of Career Assessment · doi:10.1177/10690727211002564 · Cited by 99
Making it Work, or Not: A Longitudinal Study of Career Trajectories Among Online Freelancers
Blaising, A., Kotturi, Y., Kulkarni, C., & Dabbish, L. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3432925 · Cited by 57
Automation, AI and the Future of Work in India
Hammer, A., & Karmakar, S. (2021) · Employee Relations: The International Journal · doi:10.1108/er-12-2019-0452 · Cited by 48
Metadata
- Authors
- Hirschi, A.
- Venue
- The Career Development Quarterly
- Publisher
- Wiley
- Published
- 2018-09
- Volume
- 66
- Issue
- 3
- Pages
- 192-204
- ISSN
- 0889-4019 (ISSN-L)
- 2161-0045
- OpenAlex
- W2892240712
- Cited by
- 466
- References
- 46
- FWCI
- 81.99
- Type
- journal article
- Language
- en
- Open access
- green
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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.
