Advertisement

Digital Competence as a Measure of Employee Competitiveness in the Labor Market of the Cyber Economy

  • Polina Yu. Grosheva
  • Nataliya V. Bondarchuk
Chapter
Part of the Contributions to Economics book series (CE)

Abstract

The authors show that in the conditions of the cyber economy digital competence is one of the key factors of employee competitiveness in the labor market. The authors determine interconnections between technical modernization and reequipping of organizations and the need for the development of employee competencies to create cyber-physical systems of management.

The importance of the task of diagnostics in order for managers to assess employee competencies according to the modern requirements of the cyber economy is substantiated. This task is important for all categories of a company’s personnel: managers, specialists, and employees who are either involved in key scientific and production activities or have roles related to their organization and maintenance.

A methodology of diagnostics for employee competence is offered. It is used to determine the need for development of digital competencies in the conditions of the cyber economy and is based on the implementation of a three-stage algorithm, which contains the model of evaluation of the level of competency. The authors distinguish competencies that are the most important for development of personnel in the conditions of the cyber economy to support a high level of organizational competitiveness.

The diagnostic tool makes it possible to measure how closely employee competencies conform with the conditions of the cyber economy, and take decisions to plan improvements if they are deemed necessary.

Keywords

Digital competence Employee competitiveness Digital technologies Analysis of competencies Cyber economy 

JEL Code

О15 О32 М15 

References

  1. Chursin A, Tyulin A (2018) Competence management and competitive product development: concept and implications for practice. Springer, BerlinCrossRefGoogle Scholar
  2. Chursin AA, Shamin RV, Fedorova LA (2017) The mathematical model of the law on the correlation of unique competencies with the emergence of new consumer markets. Eur Res Stud J 20(3):39–56Google Scholar
  3. Chursin RA, Yudin AV, Grosheva PY, Filippov PG, Butrova EV (2019) Tool for assessing the risks of R&D projects implementation in high-tech enterprises. IOP Conf Ser Mater Sci Eng 476:012005CrossRefGoogle Scholar
  4. Dikopalova MS (2018) The main problem of preparing qualified personnel for the digital economy. Russian economy: goals, challenges and achievements, pp 57–59Google Scholar
  5. Kleiner GB, Korablev YА, Shchepetova SЕ (2018) Human in digital economy. Econom Sci Mod Russ 2(1):169–175Google Scholar
  6. Makogonchuk IA (2018) Preparing personnel for the Russian digital economy. Russian economy: goals, challenges and achievements, pp 156–158Google Scholar
  7. Popkova EG (2019) Preconditions of formation and development of industry 4.0 in the conditions of knowledge economy. Stud Syst Decis Control 169:65–72CrossRefGoogle Scholar
  8. Popkova EG, Ragulina YV, Bogoviz AV (2019) Fundamental differences of transition to industry 4.0 from previous industrial revolutions. Stud Syst Decis Control 169:21–29CrossRefGoogle Scholar
  9. Vinogradov GP, Vinogradovа NG, Shapel DА (2018) Building a specialist’s knowledge model in the digital economy. Program Prod Syst 4(1):697–704Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Polina Yu. Grosheva
    • 1
  • Nataliya V. Bondarchuk
    • 2
  1. 1.RUDN UniversityMoscowRussia
  2. 2.The Russian Presidential Academy of National Economy and Public Administration (RANEPA)MoscowRussia

Personalised recommendations