Towards an inclusive labour market : skills for the future

Erjavec, Eva (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: personnel, human capital, artificial intelligence, work performance, future skills, AI, workforce transformation
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.02 - Pregledni znanstveni članek
• Organizacija: EF - Ekonomska fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Datum objave: 01.06.2026
• Leto izida: 2026
• Št. strani: Str. 155-175
• Številčenje: Vol. 28, iss. 2, article no. 5
• PID: 20.500.12556/RUL-183255
• UDK: 331.3
• ISSN pri članku: 2335-4216
• COBISS.SI-ID: 280179971
• Datum objave v RUL: 09.06.2026

Gradivo je del revije

• Naslov: Economic and business review
• Založnik: Ekonomska fakulteta
• ISSN: 2335-4216
• COBISS.SI-ID: 268649216

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: kadri, človeški kapital, umetna inteligenca, delovni učinek

Projekti

• Financer: ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
• Številka projekta: P5-0128-2018
• Naslov: Izzivi vključujočega in trajnostnega razvoja v prevladujoči paradigmi ekonomskih in poslovnih znanosti

• Financer: ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
• Številka projekta: J5-4540
• Naslov: J5-4540