International Journal for Quality Research (Mar 2024)

QUALITY MANAGEMENT IN INDUSTRY 4.0 BASED ON EDUCATIONAL AND LABOR MIGRATION: PROSPECTS OF RUSSIA AND OTHER CIS COUNTRIES

  • Sergey V. Ryazantsev ,
  • Inna V. Andronova ,
  • Erkin Sh. Shadmanov ,
  • Elena G. Popkova

DOI
https://doi.org/10.24874/IJQR18.01-17
Journal volume & issue
Vol. 18, no. 1
pp. 259 – 278

Abstract

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The article reveals the unique experience of Russia and other CIS countries, which are fast-growing digital economies with a dynamically developing industry 4.0, as well as free migration. The purpose of this article is to study the prospects for improving quality management in Industry 4.0 based on educational and labor migration in Russia and other CIS countries. It is proved using econometric modeling of the experience of Russia and other CIS countries using regression analysis based on data for 2021 that immigration does not allow attracting highly qualified personnel for industry 4.0, but emigration does not lead to the loss of highly qualified personnel for industry 4.0.Alternative scenarios of quality change in industry 4.0 in Russia and other CIS countries have been created, which are based on the flows of educational and labor migration in the "Decade of Action" (in the period up to 2030). The scenario of filtration of incoming and freedom of outgoing migration flow has proved to be the best, since the optimization of educational and labor migration flows provides the highest rates of qualitative growth of industry 4.0 in Russia and other CIS countries by 223.96% with a probability of 46.5%.To implement this scenario, a promising model of migration flow management has been proposed to improve the quality of Industry 4.0 products in Russia and other CIS countries. The theoretical significance of the results obtained in the articleis that they clarified the role that the migration mechanism has on the quality management of Industry 4.0 products, taking into account the unique experience of Russia and other CIS countries.The practical significance of the authors' conclusions and recommendations is that they make it possible to improve the effectiveness of quality management in industry 4.0 based on educational and labor migration in Russia and other CIS countries.

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