student from 01.01.2022 to 01.01.2026
Moscow, Moscow, Russian Federation
employee
Moskva, Moscow, Russian Federation
JEL O33 Technological Change: Choices and Consequences • Diffusion Processes
JEL M54 Labor Management
JEL L60 General
JEL I25 Education and Economic Development
The article examines the impact of digital twins on the employment structure and the requirements for the competencies of workers in the industrial sector. Based on the analysis of theoretical approaches: the theory of human capital, the competence approach, the concept of Industry 4.0; statistical data and international analytical reports, the main directions of transformation of professional roles have been identified. The author's competence model is proposed, which includes digital technical, analytical and universal components. The necessity of updating educational programs and HR strategies in the context of digitalization is substantiated. The conclusions about the importance of continuous training and development of integrated digital experts are formulated
digital twins, Industry 4.0, employment structure, staff competencies, human capital, digital economy, labor market
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