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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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SKILLS OVER DEGREES: RETHINKING TALENT ACQUISITION IN THE MODERN ERA

Authors: Muhammad Ali Siregar; Tibrani; Lukmanul Hakim;

SKILLS OVER DEGREES: RETHINKING TALENT ACQUISITION IN THE MODERN ERA

Abstract

The traditional model of talent acquisition, which privileges four-year degrees as a primary hiring proxy, is increasingly misaligned with the demands of the modern economy. This analysis argues for a fundamental paradigm shift toward skills-based hiring, where verified competencies take precedence over formal credentials. The article reviews the drivers of this change—including technological disruption, the skills gap, and the imperative for equity—and presents evidence that skills-based assessments lead to a larger, more diverse talent pool, superior job performance, and higher retention. Crucially, it identifies a significant "knowing-doing gap" in implementation, where cultural inertia and a lack of evaluative training hinder adoption. The conclusion provides a practical framework for organizations to bridge this gap, advocating for a systemic change in job design, assessment, and mindset to build more agile, innovative, and equitable workforces for the future.

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Keywords

Skills-Based Hiring, Talent Acquisition, Degree Inflation, Workforce Diversity, Change Management

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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
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