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Formation of Digital Skills of Personnel in the Cooperative Sector of the Economy in the Face of New Challenges
Studies in Big Data ; 124:215-222, 2023.
Article Dans Anglais | Scopus | ID: covidwho-2326554
ABSTRACT
Industry 4.0 is the central topic of numerous publications by foreign and Russian scientists, most of which are conceptual in nature. The current labor market requires the formation of new competencies and skills demanded in the digital economy. Digital reality dictates the need to develop new competencies—digital skills. Knowledge of computer technology, the use of software, and programming have become essential. For most organizations worldwide, the COVID-19 pandemic has accelerated the digitalization and adoption of digital ways of working. The development of new forms of employment (remote and combined) using digital technology will contribute to positive changes in the labor market. Based on these trends in the digital transformation of current society, the research aims to examine the digital skills of employees in the cooperative sector of the economy and their demand in the labor market in the context of Industry 4.0. The authors use descriptive statistical methods to process official data from the Federal State Statistics Service of the Russian Federation and the Higher School of Economics. The research indicates that the transformation of the labor market and forms of employment requires the development of new competencies demanded in Industry 4.0. In the digital economy, employment opportunities increasingly depend on a person's digital skills and competencies. This paper is one of the first comprehensive studies of the changing labor conditions, working environment, and the emergence of new competencies in Industry 4.0. This research contributes to the problem of studying digital skills as a component of human capital and can be the basis for further research in this subject area. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Scopus langue: Anglais Revue: Studies in Big Data Année: 2023 Type de document: Article

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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Scopus langue: Anglais Revue: Studies in Big Data Année: 2023 Type de document: Article