Effects of Artificial Intelligence-Based Technologies Implementation s on the Skills Needed in the Automotive Industry A Bibliometric Analysis

Raluca-Florentina Cretu (), Daniela Tutui, Viorel-Costin Banta, Elena Claudia Serban, Laura - Eugenia - Lavinia Barna and Romeo-Catalin Cretu
Additional contact information
Raluca-Florentina Cretu: Bucharest University of Economic Studies, Romania
Daniela Tutui: Bucharest University of Economic Studies, Romania
Viorel-Costin Banta: Bucharest University of Economic Studies, Romania
Elena Claudia Serban: Bucharest University of Economic Studies, Romania
Laura - Eugenia - Lavinia Barna: Bucharest University of Economic Studies, Romania
Romeo-Catalin Cretu: University of Agricultural Sciences and Veterinary Medicine, Bucharest, Romania

The AMFITEATRU ECONOMIC journal, 2024, vol. 26, issue 67, 801

Abstract: The development of emerging technologies, including artificial intelligence, has a significant effect on the automation of business processes related to the automotive industry, directly impacting employees skills and work tasks. The objectives of the study are: to identify the state of current research in the field of economics on the use of technologies based on artificial intelligence and the effects on employees competencies, to reveal the main themes addressed in the literature corresponding to the topic under investigation and to highlight a practical solution to assess employees required competencies in the automotive industry. The authors used bibliometric analysis to map the literature to highlight the effects of implementing AI-based technologies on the skills needed in the automotive industry. The sample selected from the Web of Science database consists of 866 papers published between 2018 and 2024 in the field of economics. The research results are obtained by analysing the intellectual and conceptual structure of the scientific production on the chosen topic and highlighting a practical solution related to the strategy of implementing artificial intelligence in an automotive industry company correlated with tasks design. This can be used to assess employees skills in the context of automating production processes, which gives it originality through an innovative, practice-oriented research approach and relevance to business decision-makers.

Keywords: artificial intelligence (AI); skills; automotive industry; bibliometric analysis; automation; implementation; tasks. (search for similar items in EconPapers)
JEL-codes: C80 C88 D29 E23 L62 M11 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.amfiteatrueconomic.ro/temp/Article_3337.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aes:amfeco:v:26:y:2024:i:67:p:801

Access Statistics for this article

More articles in The AMFITEATRU ECONOMIC journal from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Valentin Dumitru ().