Assessing the impact of technological change on similar occupations: Implications for employment alternatives.

Autor/inn/en	Torosyan, Karine; Wang, Sicheng; Mack, Elizabeth A.; Fossen, Jenna A. van; Baker, Nathan
Titel	Assessing the impact of technological change on similar occupations: Implications for employment alternatives. Gefälligkeitsübersetzung: Bewertung der Auswirkungen des technologischen Wandels auf ähnliche Berufe: Auswirkungen auf Beschäftigungsalternativen.
Quelle	In: PLOS ONE, 18 (2023) Art. e0291428, 27 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	1932-6203
DOI	10.1371/journal.pone.0291428
Schlagwörter	Technologische Entwicklung; Einkommensunterschied; Lohnentwicklung; Niedriglohn; Beschäftigungsentwicklung; Arbeitsmarkt; Arbeitsplatzverlust; Berufliche Mobilität; Berufsgruppe; Berufsklassifikation; Berufswechsel; Beschäftigungsalternative; Qualifikationsniveau; Qualifikationswandel; Auswirkung; Prognose; USA
Abstract	"Background: The fast-changing labor market highlights the need for an in-depth understanding of occupational mobility impacted by technological change. However, we lack a multidimensional classification scheme that considers similarities of occupations comprehensively, which prevents us from predicting employment trends and mobility across occupations. This study fills the gap by examining employment trends based on similarities between occupations. Method: We first demonstrated a new method that clusters 756 occupation titles based on knowledge, skills, abilities, education, experience, training, activities, values, and interests. We used the Principal Component Analysis to categorize occupations in the Standard Occupational Classification, which is grouped into a four-level hierarchy. Then, we paired the occupation clusters with the occupational employment projections provided by the U.S. Bureau of Labor Statistics. We analyzed how employment would change and what factors affect the employment changes within occupation groups. Particularly, we specified factors related to technological changes. Results: The results reveal that technological change accounts for significant job losses in some clusters. This poses occupational mobility challenges for workers in these jobs at present. Job losses for nearly 60% of current employment will occur in low-skill, low-wage occupational groups. Meanwhile, many mid-skilled and highly skilled jobs are projected to grow in the next ten years. Conclusion: Our results demonstrate the utility of our occupational classification scheme. Furthermore, it suggests a critical need for skills upgrading and workforce development for workers in declining jobs. Special attention should be paid to vulnerable workers, such as older individuals and minorities." The study refers to the period 2018-2029. (Author's abstract, IAB-Doku)..
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2024/1