Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

RESILIENT HUMAN CAPITAL DEVELOPMENT: BRIDGING EDUCATION AND LABOR MARKET IN THE ERA OF AUTOMATION AND GREEN ECONOMY

Authors: Khalida Zahirsadat;

RESILIENT HUMAN CAPITAL DEVELOPMENT: BRIDGING EDUCATION AND LABOR MARKET IN THE ERA OF AUTOMATION AND GREEN ECONOMY

Abstract

The accelerating transformation of global economies toward digitalization and sustainability has fundamentally altered the relationship between education systems and labor markets. Traditional human capital approaches, which assume a linear progression from education to employment, increasingly fail to explain labor market mismatches, skills obsolescence, and the persistence of employability gaps. This study addresses this theoretical and practical limitation by proposing a novel integrative framework that reconceptualizes human capital formation as a dynamic, non-linear, and feedback-driven process. Drawing on interdisciplinary insights from human capital theory, labor economics, education policy, and green–digital transition studies, the article develops the Dynamic Education–Labor Integration Theory (DELIT) as a conceptual and methodological contribution. The proposed theory is operationalized through an original methodological design that combines conceptual modeling, structured analytical synthesis, and theory-building logic. Rather than testing existing models, the methodology generates a new analytical structure capable of explaining how education systems, labor market institutions, skills ecosystems, and technological change interact over time.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average