INVESTIGATING THE SCIENTIFIC FOCUS ON ARTIFICIAL INTELLIGENCE'S POTENTIAL IMPACT ON LABOR MARKET
The pace of technological development, marked by its inexorable character, drives scientific research to continuously assess its economic impact. Research on the present and future effects materializes in an increasing volume of publications, the technological evolution bringing to the fore signi...
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Main Author: | |
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Format: | Article |
Language: | deu |
Published: |
University of Oradea
2024-12-01
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Series: | Annals of the University of Oradea: Economic Science |
Subjects: | |
Online Access: | https://anale.steconomiceuoradea.ro/en/wp-content/uploads/2025/01/AUOES.December.2024.26.pdf |
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Summary: | The pace of technological development, marked by its inexorable
character, drives scientific research to continuously assess its economic impact.
Research on the present and future effects materializes in an increasing volume of
publications, the technological evolution bringing to the fore significant aspects of
change, with increasingly evident accents of convergence towards the importance
of researching the impact of technological evolution, especially artificial intelligence,
on the labor market. Automation anxiety is the initial condition present in the labor
market; the direction of technological development, and especially its direction, can
influence the final impact. The widespread application of artificial intelligence, owing
to its general applicability combined with the rapid advancement of specific
technologies, sets the stage for significant economic and social transformation.
Ongoing analysis of developmental stages and their potential impacts is essential to
propose appropriate directing or regulatory measures. The purpose of this article is
to capture the intensity and major concerns of the existing research on this topic at
the global and national levels and to provide an overview and a recommendation for
the selection of the literature for those who intend to research the relationship
between technological development and the labor market. This article aims to
identify the types of approach, the relevant topics, and the convergences towards
possible clusters, along with the measurement of specific quantitative indicators: the
number of publications per year, by authors, institutions, and countries. A bibliometric
study was used as the research method. By analyzing the scientific literature based
on quantitative indicators, this research captures the structure and dynamics of
scientific research in this field. Measuring the impact and influence of scientific
papers, identifying research trends, collaborative networks, and mapping clusters
provide an overview of the evolution of the research field. |
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ISSN: | 1222-569X 1582-5450 |