Technology of Accelerated Knowledge Transfer for Anticipatory Training of Specialists in Digital Economy

Authors

DOI:

https://doi.org/10.17059/2020-2-8

Keywords:

scientific and educational platform, knowledge transfer, anticipatory learning, pre-emptive management, digital ecosystem, modular architecture, educational program, competencies, technological breakthrough

Abstract

The training of digital economy specialists requires new approaches to the educational process, which should contain updated training materials and flexible teaching formats and methods. Moreover, it should create competencies for working in the conditions of uncertainty and maintain readiness to solve complex problems in the process of professional activity. Close integration of scientific and educational activities is the only possible approach to attain this goal. Thus, we suggested a mechanism for rapidly transferring the latest results of scientific research to the educational process at universities in order to organize anticipatory learning. We demonstrated the organizational principles, content and methods of this mechanism on the example of managerial training. We have substantiated and described the research area «Pre-emptive management in rapidly developing industries and sectors», as well as the key provisions of anticipatory learning and its knowledge base. Further, we have discussed the possibilities of applying the technology platforms for designing branded educational products with flexible modular structure. Thanks to such structure, the training programs function as a continuous conveyor for continuous competency building. In the paper, we present a conceptual project and an operational mechanism of a university-based scientific and educational platform. Testing on the Ural Federal University (UrFU) has proved the efficiency of the suggested methods and validity of the research results. The proposed platform can be used for establishing world-class Research and Educational Centres in the region aimed at developing global research and industrial cooperation in order to create breakthrough innovations.

Author Biographies

Lazar Davidovich Gitelman, Ural Federal University

Doctor of Economics, Professor, Head of the Academic Department of Economics of Industrial and Energy Systems, Graduate School of Economics and Management, Ural Federal University; Scopus Author ID: 55806230600 (19, Mira St., Ekaterinburg, 620002, Russian Federation; e-mail: ldgitelman@gmail.com).

Mikhail Viktorovich Kozhevnikov, Ural Federal University

PhD in Economics, Associate Professor, Academic Department of Economics of Industrial and Energy Systems, Graduate School of Economics and Management, Ural Federal University; Scopus Author ID: 55805368400;  https://orcid.org/0000-0003-4463-5625 (19, Mira St., Ekaterinburg, 620002, Russian Federation; e-mail: m.v.kozhevnikov@urfu.ru)

Olga Borisovna Ryzhuk, Ural Federal University

Research Assistant, Lecturer, Academic Department of Economics of Industrial and Energy Systems, Graduate School of Economics and Management, Ural Federal University; Scopus Author ID: 57203853861; https://orcid.org/0000-0002-3526-8133 (19, Mira St., Ekaterinburg, 620002, Russian Federation; e-mail: helgarydi@mail.ru).

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Published

30.06.2020

How to Cite

Gitelman, L. D., Kozhevnikov, M. . V., & Ryzhuk, O. B. (2020). Technology of Accelerated Knowledge Transfer for Anticipatory Training of Specialists in Digital Economy. Economy of Regions, 16(2), 435–448. https://doi.org/10.17059/2020-2-8

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