The method to study the competencies of the subjects of the digital economy

The purpose of the paper is to present the author’s method to study the competencies required to organizations for the digital economy development. The widespread use of mobile computing devices by citizens in their daily and professional activities, the growth of the internet of things, the accumulation of Big Data, the improvement and emergence of new information technologies (IT) open up new opportunities for conducting economic activities, provided that the subjects possess the competencies of the digital economy.

Materials and methods. The research is based on the analysis of IT development trends and options for their application in various types of economic activities. The approach of linear programming was used as a basis, which allowed us to present a bunch of competencies in the form of a matrix. The information base of the study was made up of methodological approaches used in economics and science to research digital competencies, as well as data from reports of leading consulting companies.

Results. The author’s method has been developed for studying the competences of digital economy subjects as a large set of knowledge and skills for using modern IT to solve current economic problems.

The research method consists in structuring the bunch in the form of a matrix, the size of which is determined by the number of modern IT and economic activities. The values in the matrix reflect the number of competencies of the subject to use a specific IT in a particular type of activity.

Conclusion. In modern conditions of digitalization of society, digital competencies are represented by a large set of knowledge and skills. The use of one IT in different activities solves a different set of tasks, and competence assumes the ability of the subject to solve a certain problem using it. Many competencies will continue to grow as the digital economy develops. Limiting the bunch of competencies to a list of universal competencies will lead to a rapid loss of its relevance to the economy. The developed method makes it possible to conduct research on the availability of organizations with the necessary competencies, to identify areas where it is necessary to form new competencies or adapt them from other types of economic activity.

1. Viner, N. Kibernetika, ili Upravleniye i svyaz’ v zhivotnom i mashine; per. s angl. I. V. Solov’yeva i G.N. Povarova; pod red. G. N. Povarova. 2-ye izdaniye = Cybernetics, or Management and communication in the animal and machine; Tr. from Eng. I.V. Soloviev and G.N. Povarov; Ed. G.N. Povarova. 2nd edition. Moscow: Nauka, Main Edition of Publications for Foreign Countries. 1983. 344 p. (In Russ.)

2. Lem S. Summa tekhnologii. Per. s pol. F.Shirokova = Amount of technology. Tr. from Pol. F. Shirokova. Moscow: AST Publishing House; 2018. 736 p. (In Russ.)

3. Dik V.V. Metodologiya formirovaniya resheniy v ekonomicheskikh sistemakh i instrumental’nyye sredy ikh podderzhki= Methodology of forming decisions in economic systems and instrumental environments for their support. Moscow: Finance and Statistics; 2000. 300 p. (In Russ.)

4. Nonaka I. Kompaniya — sozdatel’ znaniya. Zarozhdeniye i razvitiye innovatsii v yaponskikh firmakh. Per. s angl. = Company — the creator of knowledge. The origin and development of innovation in Japanese firms. Tr. from Eng. Moscow: CJSC «Olympus-Business»; 2003. 384 p. (In Russ.)

5. Gilyarevskiy R.S., Zalayev G.Z., Tsvetkova V.A, Barysheva O.V., Kalin A.A., Informatika kak nauka. pod red. R.S. Gilyarevskogo = Computer science as a science. Ed. R.S. Gilyarevsky. Moscow: FAIR-Press; 2006. 592 p. (In Russ.)

6. Belonogov G.G., Gilyarevskiy R.S., Seletkov S.N., Khoroshilov A.A. About ways to improve the quality of text information search in the Internet. Nauchno-tekhnicheskaya informatsiya. Seriya 2: Informatsionnyye protsessy i Sistema = Scientific and technical information. Series 2: Information Processes and System. 2013; 8: 1—11. (In Russ.)

7. Avilkina S.V., Bakuleva M.A., Kleynosova N.P. A mathematical model for the formation of a basic statistical sample to assess the level of development of digital competencies of teachers. Statistika i ekonomika = Statistics and Economics. 2018; 6 (15): 28. (In Russ.)

8. Vasil’yeva Ye.V. Competency-based approach in public service: what knowledge and skills do civil servants choose? Voprosy gosudarstvennogo i munitsipal’nogo upravleniya = Issues of state and municipal government. 2018; 4: 120—144. (In Russ.)

9. Sukhomlin V.A., Zubareva Ye.V., YakushinA.V. Methodological aspects of the concept of digital skills. Sovremennyye informatsionnyye tekhnologii i IT-obrazovaniye = Modern information technology and IT education. 2017; 2 (13): 146—152. (In Russ.)

10. Denisov I.V., Koretskaya I.A. Network Generation Students: Lateral Profiles and Digital Skills. Informatika i obrazovaniye = Computer Science and Education. 2019; 2: 34—41. (In Russ.)

11. Agentstvo strategicheskikh initsiativ. Atlas novykh professiy 2.0 = Agency for Strategic Initiatives. Atlas of new professions 2.0. Moscow: School of Management SKOLKOVO, 2014. URL: https://asi.ru/reports/34983/, http://atlas100.ru. (In Russ.)

12. Kulikova S.V., Golkina. G.Ye., Gavrilov A.V. Methodology for determining the most sought-after areas for training IT specialists. Plekhanovskiy nauchnyy byulleten’ = Plekhanovsky Scientific Bulletin. 2018; 2 (14): 72-77. (In Russ.)

13. Zolotarev V.B. The requirement of employers is the main guideline for the formation of a professionally competent specialist. Vestnik Rossiyskogo universiteta druzhby narodov. Seriya: Psikhologiya i pedagogika = Bulletin of the Peoples’ Friendship University of Russia. Series: Psychology and Pedagogy. 2015; 3: 90-98. (In Russ.)

14. Frey C.B., M.A. Osborne The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change. 2017; 114: 254-280.

15. Komleva N.V. Professional competence of an individual in a Smart society. Otkrytoye obrazovaniye = Open Education. 2017; 1: 27-33. DOI: 10.21686/1818-4243-2017-1-27-33. (In Russ.)

16. Schlemmer P., Schlemmer D., Anderson L., Aronson E., Bloom B., Chapman C., Plan I. Teaching beyond the test: Differentiated project-based learning in a standards-based age. Social studies. 2008; 61: 63.

17. Pellicer L.O., Anderson, L.W. Teacher Leadership: A Promising Paradigm for Improving Instruction in Science and Mathematics. ERIC. 2001. URL: https://eric.ed.gov/?id=ED465586 (cited: 1.09.2019).

18. Dneprovskaya N.V. Knowledge management system as the basis of smart learning. Otkrytoye obrazovaniye = Open education. 2018; 4 (22): 4252. (In Russ.)

19. Atlas skvoznykh tekhnologiy tsifrovoy ekonomiki Rossii=Atlas of cross-cutting technologies of the digital economy of Russia. Moscow: Rosatom; 2019. URL: http://digitalrosatom.ru/proektnyj-ofis-cifrovaya-ekonomika-rf-gk-rosatom-podgotovil-pilotnuyu-versiyu-doklada-atlas-skvoznyx-texnologij-cifrovoj-ekonomiki-rossii/ (cited: 01.09.2019). (In Russ.)

20. Hype Cycle for Healthcare Providers. 2018. Gartner. URL: https://www.gartner.com/en/documents/3882882 (cited: 01.09.2019).

21. Hype Cycle for Education. 2018. Gartner. URL: https://www.gartner.com/en/documents/3882872 (cited: 01.09.2019).

22. Layl M. Spenser-ml. i Sayn M. Spenser Kompetentsiya na rabote. Per. from English Tr. from Eng. = Spencer Competency at Work. Tr. from Eng. Moscow: HIPPO; 2005. 384 p. (In Russ.)

23. Spirkin A. G. Filosofiya: uchebnik. 2-ye izd.= Philosophy: a textbook. Edition 2. Moscow: Gardariki; 2008. 736 p. (In Russ.)

24. Slavin B. B. Epokha kollektivnogo razuma: O roli informatsii v obshchestve i o kommunikatsionnoy prirode cheloveka. Izd.2-ye. = The era of the collective mind: On the role of information in society and on the communicative nature of man. Edition 2. Moscow: Book House Librocom; 2014. 320 p. (In Russ.)

25. Townsend A.M. Smart Cities: big data, civic hackers, and the quest for new utopia W.W. Norton & Company. 2013. 384 p.

26. Formirovaniye obshchestva, osnovannogo na znaniyakh. Novyye zadachi vysshey shkoly. Per. s angl. Vsemirnyy bank = Formation of a knowledge-based society. New tasks of higher education. Tr. from Eng. The World Bank. Moscow: Publishing house «All World»; 2003. 232 p. (In Russ.)

27. Chernigovskaya T.V. Human in man: consciousness and the neural network. Problema soznaniya v filosofii i nauke. Kanon-Plyus = The problem of consciousness in philosophy and science. Canon Plus. 2008: 143—163. (In Russ.)

28. Kirillov A.V. The development of corporate training in modern conditions. Kontury global’nykh transformatsiy: politika, ekonomika, parvo=The contours of global transformations: politics, economics, law. 2014; 7; 5 (37): 6—15. (In Russ.)

29. OK 029-2014 (KDES Red. 2). Obshcherossiyskiy klassifikator vidov ekonomicheskoy deyatel’nosti (utv. Prikazom Rosstandarta ot 31.01.2014 N 14-st) = OK 0292014 (NACE Rev. 2). The All-Russian Classifier of Types of Economic Activities (approved by Order of Rosstandart 31.01.2014, No. 14-st) (as amended on 20.02.2019). URL: http://www.consultant.ru/document/cons_doc_LAW_163320/(cited: 01.09.2019). (In Russ.)