Research on the Evaluation Model of Automotive Talents Based on Factor Analysis Method

With the rapid development of the automotive industry, the demand for high-quality talents is increasing day by day. This article uses factor analysis method to construct an automotive talent evaluation model, aiming to help enterprises select and cultivate talents more effectively through the analysis of talent characteristics. The research results indicate that professional basic theories, professional technical skills, innovative thinking ability, project management skills, and market & industry development awareness are key factors affecting the identification evaluation of automotive talents.

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Publication Details

Journal
International Journal of Computer Science and Information Technology
Published
2024-12-21
DOI
https://doi.org/10.62051/ijcsit.v4n3.41
Primary Topic
Human Resource and Talent Management
Type
article
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article

Research on the Evaluation Model of Automotive Talents Based on Factor Analysis Method

Chunguang Guo, Yongjiang Shi
International Journal of Computer Science and Information Technology
Human Resource and Talent Management
article

Research on the Evaluation Model of Automotive Talents Based on Factor Analysis Method

Chunguang Guo, Yongjiang Shi
article en

Abstract

With the rapid development of the automotive industry, the demand for high-quality talents is increasing day by day. This article uses factor analysis method to construct an automotive talent evaluation model, aiming to help enterprises select and cultivate talents more effectively through the analysis of talent characteristics. The research results indicate that professional basic theories, professional technical skills, innovative thinking ability, project management skills, and market & industry development awareness are key factors affecting the identification evaluation of automotive talents.

International Journal of Computer Science and Information TechnologyVol. 4(3)
China Automotive Technology and Research Center (CN)
Openalex Percentile: Top 63%
Human Resource and Talent Management
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