Digitalization as a determinant of transformation of the real sector of the economy of the macroregion (using the example of the North Caucasus Federal District)
https://doi.org/10.18184/2079-4665.2024.15.1.27-42
EDN: frgwlk
Abstract
Purpose: is to study of the processes of digitalization and digital transformation of the real sector of the economy of the regions of the North Caucasus Federal District.
Methods: the methodological basis of the study was the concept of the digital economy, the theoretical principles of supply-side economics, the systems approach, trend analysis and predictive analytics. The study is based on the use of the methods of economic and statistical analysis, scientifi c abstraction, analogies and scientifi c generalizations. The methods used are characterized by validity and show a high degree of eff ectiveness.
Results: digitalization and digital transformation processes are underway in the North Caucasus Federal District, but the pace remains low. To accelerate these processes, it is necessary to solve two interrelated problems: fi rstly, to materialize the processes of digitalization and digital transformation in the real sector of the economy of the regions of the federal district, and secondly, to train personnel in certain specialties who can eff ectively operate digital technologies. In the fi rst case, it is possible to use the model of catch-up development at the regional level, which will make it possible to implement the principle of “advantage of backwardness” and use the accumulated global and regional experience in the transition to the modern trends in the operation of digital technologies. In the second case, it is proposed to organize special centers in the subjects of the district for retraining digital technologies specialists with the necessary competencies and/or advanced training with the issuance of the confi rming certifi cates. Such centers could train exclusive specialists at the request of enterprises or engage in refresher training and retraining of the necessary specialists. The creation of the centers is possible on the basis of public-private partnership.
Conclusions and Relevance: the main task of the digital transformation of industry is considered to be the modernization of production process management, which will lead to the signifi cant increase in labor productivity. To implement such a scenario, the economic entities in the regions of the North Caucasus Federal District need to move away from the traditionalist approaches that take place in the organization and management of enterprises, and switch to the processes of digitalization and digital transformation of the real sector of the economy of the district.
About the Author
G. Kh. BatovRussian Federation
Gumar Kh. Batov, Doctor of Economic Sciences, Professor, Leading Researcher
Institute of Informatics and Regional Management Problems – Branch; Department "Economy of Knowledge and Advanced Regional Development"
Nalchik
Scopus ID: 57193362469
References
1. Sadyrtdinov R.R. The level of digitalization of the regions of Russia. Bulletin of Chelyabinsk State University. Economic Sciences. 2020; (10(444)):230–235. https://elibrary.ru/lbishf. doi: 10.47475/1994-2796-2020-11029 (In Russ.)
2. Nikolaev M.A., Makhotaeva M.U., Gusarova V.N. Analysis of the influence of digitalization processes on regions’ economic development. St. Petersburg State Polytechnical University Journal. Economics. 2020; 13(4):46–56. https://elibrary.ru/prggys. doi: 10.18721/JE.13404 (In Russ.)
3. Volodina N.L., Sirotkina N.V. Problems and prospects of structural management of industrial enterprises in the digital economy. Organizer of Production. 2021; 29(3):73–90. https://elibrary.ru/mnhgxd. doi: 10.36622/VSTU.2021.63.84.008 (In Russ.)
4. Weill P., Woerner S. What's your digital business model? Six questions to help you build the next-generation enterprise. Harvard Business Review Press, 2018. 256 p. URL: https://hbsp.harvard.edu/product/10111-HBK-ENG (In Eng.)
5. Schmidt E., Rosenberg G. How Google Works. New York, Boston: Grand Central Publishing, 2014. 352 p. URL: https://archive.org/details/how-google-works_202305 (In Eng.)
6. Zemtsov S., Barinova V., Semenova R. The risks of digitalization and the adaptation of regional labor markets in Russia. Foresight and STI Governance. 2019; 13(2):84–96. https://elibrary.ru/rheetv. doi: 10.17323/2500-2597.2019.2.84.96 (In Eng.)
7. Glezman L.V., Butorin S.N., Glavatsky V.B. Digitalization of industry as a factor of technological development of the regional spatial and industrial structure. Russian Journal of innovation economics. 2020; 10(3):1555–1570. https://elibrary.ru/hsvpbo. doi: 10.18334/vinec.10.3.110762 (In Russ.)
8. Naumov I.V., Dubrovskaya Ju.V., Kozonogova E.V. Digitalization of industrial production in the Russian regions: spatial relationships. Economy of regions. 2020; 16(3):896–910. https://elibrary.ru/qloomf. doi: 10.17059/ekon.reg.2020-3-17 (In Russ.)
9. Oborin M.S. The role of digital technologies in the industrial development of the region. Proceedings of the Southwest State University. Series: Economics, sociology and management. 2022; 12(3):73-84. https://elibrary.ru/ehqqqj. URL: https://cyberleninka.ru/article/n/rol-tsifrovyh-tehnologiy-v-promyshlennom-razvitii-regiona (In Russ.)
10. Vagin S.G. Digitalization of Russian industry: the state and prospects of development in the conditions of sanctions and restrictions. Vestnik Universiteta. 2023; (9):103–112. https://elibrary.ru/mmbimr. doi: 10.26425/1816-4277-2023-9-103-112 (In Russ.)
11. Edquist H., Goodridge P., Haskel J. The Internet of Things and economic growth in a panel of countries. Economics of Innovation and New Technology. 2021; 30(3):262–283. doi: 10.1080/10438599.2019.1695941 (In Eng.)
12. Naudé W. Artificial intelligence: neither Utopian nor apocalyptic impacts soon. Economics of Innovation and New Technology. 2021; 30(1):1–23. doi: 10.1080/10438599.2020.1839173 (In Eng.)
13. Krzywdzinski M. Automation, digitalization, and changes in occupational structures in the automobile industry in Germany, Japan, and the United States: a brief history from the early 1990<sup>s</sup> until 2018. Industrial and Corporate Change. 2021; 30(3):499–535. doi: 10.1093/icc/dtab019 (In Eng.)
14. Frey C.B, Osborne M.A. The future of employment: How susceptible are jobs to computerization? Technological Forecasting and Social Change. 2017; 114:254–280. doi: 10.1016/j.techfore.2016.08.019 (In Eng.)
15. Sijabat R. The effects of business digitalization and knowledge management practices on business performance: findings from Indonesian micro, small, and medium enterprises. Bisnis & Birokrasi: Jurnal Ilmu Administrasi dan Organisasi. 2022; 29(2). doi: 10.20476/jbb.v29i2.1350 (In Eng.)
16. Lee K., Malerba F., Primi A. The fourth industrial revolution, changing global value chains and industrial upgrading in emerging economies. Journal of Economic Policy Reform. 2020; 23(4):359–370. doi: 10.1080/17487870.2020.1735386 (In Eng.)
17. Belousov D.R., Mikhailenko K.V., Sabel’nikova E.M., Solntsev O.G. The role of digitalization in the target scenario of Russian economic development. Studies on Russian Economic Development. 2021; 32(4):374–382. https://elibrary.ru/xxhuhh. doi: 10.1134/S1075700721040055 (In Eng.)
18. Bokšová J., Bokša M., Horák J. Digitalization and the labor market. International Advances in Economic Research. 2020; 26:317–318. doi: 10.1007/s11294-020-09790-4 (In Eng.)
19. Problems and indicators of the robotics development: monograph / Head of the author's collective, responsible ed. A.E. Varshavsky. Moscow: CEMI RAS, 2022. 230 p. URL: http://www.cemi.rssi.ru/publication/books/VarshavskyAE_2022.pdf (In Russ.)
20. Gotz M., Jankowska B. Adoption of Industry 4.0 technologies and company competitiveness: case studies from a post-transition economy. Foresight and STI Governance. 2020; 14(4):61–78. https://elibrary.ru/bedift. doi: 10.17323/2500-2597.2020.4.61.78 (In Eng.)
21. Szalavetz A. Upgrading and value capture in global value chains in Hungary: More complex than what the smile curve suggests. In: Foreign Direct Investment in Central and Eastern Europe. Studies in Economic Transition. London: Palgrave Macmillan, Cham, 2017. P. 127–150. doi: 10.1007/978-3-319-40496-7_6 (In Eng.)
22. Malone M. The Intel trinity: how Robert Noyce, Gordon Moore, and Andy Grove built the world's most important company. New York: Harper Collins, 2014. 560 p. URL: https://archive.org/details/inteltrinityhowr0000malo (In Eng.)
23. Shiplyuk V.S., Mazilov E.A. Prospects for developing the region’s manufacturing industries in the context of digitalization. Problems of territory’s development. 2021; 25(6):82–99. https://elibrary.ru/lidxrb. doi: 10.15838/ptd.2021.6.116.5 (In Russ.)
24. Polterovich V.M. Institutions of catching-up development (on the project of a new model for economic development of Russia). Economic and social changes: facts, trends, forecast. 2016; (5(47)):34–56. https://elibrary.ru/xajvzv. doi: 10.15838/esc.2016.5.47.2 (In Eng.)
25. Evstigneeva L.P., Evstigneev R.N. Catch-up development: modern interpretation. Moscow: Institute of Economics of the Russian Academy of Sciences, 2012. 45 p. URL: https://inecon.org/docs/Yevstigneevy.pdf?ysclid=ltyk2sfjp635210957 (In Russ.)
Review
For citations:
Batov G.Kh. Digitalization as a determinant of transformation of the real sector of the economy of the macroregion (using the example of the North Caucasus Federal District). MIR (Modernization. Innovation. Research). 2024;15(1):27-42. (In Russ.) https://doi.org/10.18184/2079-4665.2024.15.1.27-42. EDN: frgwlk