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Towards an inclusive labour market : skills for the future
ID
Erjavec, Eva
(
Author
)
URL - Source URL, Visit
https://www.ebrjournal.net/home/vol28/iss2/5/
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(9,90 MB)
MD5: 30F12AE611C79430D7A5B96FFBA39756
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Abstract
In the transition to a knowledge-based society, human capital has become a key driver of economic growth, innovation, and social progress. As industries evolve and new technologies reshape labour markets, the development of future skills plays a crucial role in ensuring workforce adaptability, productivity, and long-term competitiveness. A bibliometric analysis aims to examine the importance of human capital for economic growth and the transition to a knowledge economy, synthesizing existing research and academic discussions. By systematically reviewing the literature, this paper seeks to provide insights into how skills and education contribute to sustainable economic development and social resilience. Furthermore, it identifies key research gaps, emerging trends, and the evolving role of human capital in an era of rapid technological change. Additionally, this paper develops a conceptual framework outlining the essential skills required for the future workforce, integrating insights from technological advancements, economic shifts, and industry transformations. The framework categorizes skills into core areas, including digital literacy, AI proficiency, data analytics, sustainability expertise, and soft skills such as adaptability and critical thinking. Furthermore, this paper explores the necessary transformations within the workforce, highlighting the structural changes needed in education, corporate training, and policy frameworks to align skill development with future market demands. By mapping the transition pathways, this paper provides recommendations for workforce adaptation, ensuring that businesses, governments, and educational institutions are prepared to meet evolving labour-market needs.
Language:
English
Keywords:
personnel
,
human capital
,
artificial intelligence
,
work performance
,
future skills
,
AI
,
workforce transformation
Work type:
Article
Typology:
1.02 - Review Article
Organization:
EF - School of Economics and Business
Publication status:
Published
Publication version:
Version of Record
Publication date:
01.06.2026
Year:
2026
Number of pages:
Str. 155-175
Numbering:
Vol. 28, iss. 2, article no. 5
PID:
20.500.12556/RUL-183255
UDC:
331.3
ISSN on article:
2335-4216
COBISS.SI-ID:
280179971
Publication date in RUL:
09.06.2026
Views:
216
Downloads:
197
Metadata:
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Record is a part of a journal
Title:
Economic and business review
Publisher:
Ekonomska fakulteta
ISSN:
2335-4216
COBISS.SI-ID:
268649216
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
kadri
,
človeški kapital
,
umetna inteligenca
,
delovni učinek
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P5-0128-2018
Name:
Izzivi vključujočega in trajnostnega razvoja v prevladujoči paradigmi ekonomskih in poslovnih znanosti
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
J5-4540
Name:
J5-4540
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Collection
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Economic and business review
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