Abstract
The process of digitalization of the global economy is one of the fundamental challenges of the Russian Federation today. The key subject of the digital economy is the economically active population (labor), participating in the creation of innovative products of the digital economy, adapting key segments of the Russian economy to conditions of global competition. The purpose of the study is to consider the issues of readiness of the economically active population for the digital transformation of the economy, which in turn is a fundamental task for solving related problems in the field of long-term national security, ensuring the security of personal data, and creating conditions that ensure the privacy of citizens within the digital space. In this regard, it is necessary to search for factors that contribute to increasing the adaptation of the economically active population to the processes of digitalization of the economy. The research methodology is based on systems analysis methods used to study the features of the digital transformation of the economy and ensure full coverage and accounting in the study of a complex of socio-economic processes and phenomena, ensuring the integrity of the knowledge received and synergistic effects based on the results of decisions.
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References
Alekseev, I.V.: Digital economy: features and trends in the development of electronic interaction, Current areas of scientific research: from theory to practice, [Cifrovaya ekonomika: osobennosti i tendencii razvitiya elektronnogo vzaimodejstviya, Aktual’nye napravleniya nauchnyh issledovanij: ot teorii k praktike], vol. 4–2, no. 10, pp. 42–45 (2016)
Ausan, A.A.: The economy during and after the pandemic. [Ekonomika vo vremya pandemii i posle nee]. https://expert.msu.ru/econ
Bakhtizin, A.R.: Hybrid methods of modeling general economic equilibrium using agent-oriented models: dissertation abstract, dissertation…. Doctor of Economics [Gibridnye metody modelirovaniya obshchego ekonomicheskogo ravnovesiya s ispol’zovaniem agent-orientirovannyh modelej: avtoreferat dis. … doktora ekonomicheskih nauk], p. 49 (2008)
Bloom, D.I., Kadarett, D., Seville, H.P.: New and emerging infectious diseases can have far-reaching economic consequences, Finance and Development, [Novye i vozrozhdayushchiesya infekcionnye zabolevaniya mogut imet’ daleko idushchie ekonomicheskie posledstviya, Finansy i razvitie], pp. 46–49 (2018). https://www.imf.org/external/russian/pubs/ft/fandd/2018/06/pdf/bloom.pdf
Golubeva, L.A., Ilyin, V.P., Kozyrev, A.N.: On software technologies in the geometric aspects of mathematical modeling, Bulletin of Novosibirsk State University. Series: Information Technology, [O programmnyh tekhnologiyah v geometricheskih aspektah matematicheskogo modelirovaniya, Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriya: Informacionnye tekhnologii], vol. 10, no. 2, pp. 25–33 (2012)
Zherebin, A.M., Terekhov, I.I.: Strategic priorities of scientific and technological development and some measures to accelerate the transition to a new technological framework, Russia: trends and prospects for development, [Strategicheskie prioritety nauchno-tekhnologicheskogo razvitiya i nekotorye mery po uskoreniyu perekhoda k novomu tekhnologicheskomu ukladu, Rossiya: tendencii i perspektivy razvitiya], pp. 356–361 (2016)
Ilmensky, M.D., Parinov, S.I.: Electronic communications and modernization of the Russian economy: development of the scientific apparatus of the network economy, Russia in a globalizing world: modernization of the Russian economy,[Elektronnye kommunikacii i modernizaciya rossijskoj ekonomiki: razvitie nauchnogo apparata setevoj ekonomiki, Rossiya v globaliziruyushchemsya mire: modernizaciya rossijskoj ekonomiki], pp. 407–422 (2007)
Kleiner, G.B.: Systemic economics, econometric cybernetics, soft measurements and problems of society development. Economics and management: problems, solutions, [Sistemnaya ekonomika, ekonometricheskaya kibernetika, myagkie izmereniya i problemy razvitiya obshchestva. Ekonomika i upravlenie: problemy, resheniya], vol. 4, no. 3, pp. 3–7 (2017)
Kozhevina, O.V.: Monitoring the digital readiness of regional economies. Russia: trends and prospects for development, [Monitoring cifrovoj gotovnosti regional’nyh ekonomik. Rossiya: tendencii i perspektivy razvitiya], pp. 975–978 (2018)
Kupriyanovsky, V.P., Sotnikov, A.E., Soloviev, A.I., Drozhzhinov, V.I., Namiot, D.E., Mamaev, V.Yu., Kupriyanovsky, P.V.: Aadhaar is the identification of a person in the digital economy. International Journal of Open Information Technologies, [Aadhaar – identifikaciya cheloveka v cifrovoj ekonomike.], vol. 5, no. 2, pp. 34–45 (2017)
Government of the Russian Federation (2017). Order of the Government of the Russian Federation dated 28.07.2017 No. 1632-r «On the approval of the program” Digital Economy of the Russian Federation». http://www.consultant.ru/document/cons_doc_LAW_221756/
President of the Russian Federation: Message of the President of the Russian Federation to the Federal Assembly from the 01.12.2016 «Message of the President of the Russian Federation to the Federal Assembly» (2016). http://www.consultant.ru/document/cons_doc_LAW_207978/
Preobrazhensky, B.G., Tolstoy, T.O., Shkarupeta, E.V.: Analysis of the region’s human development in the context of digital transformation. Region: systems, economy, management, [Analiz razvitiya chelovecheskogo potenciala regiona v usloviyah cifrovoj transformacii. Region: sistemy, ekonomika, upravlenie], vol. 1, no. 36, pp. 59–66 (2017)
Skolkovo Moscow School of Management (2018). Index «digital Russia». Reflection of digitalization of the constituent entities of the Russian Federation through the prism of open sources. Author’s methodology taking into account Russian specifics and best practices, [Indeks «cifrovaya Rossiya». Otrazhenie cifrovizacii sub”ektov Rossijskoj Federacii cherez prizmu otkrytyh istochnikov. Avtorskaya metodologiya s uchetom rossijskoj specifiki i luchshih praktik], p. 193 (2018)
Chatterjee, P., Novak, S.: Predictive errors and uncertainty shocks. Bulletin of international organizations: education, science, new economy, [Oshibki prognozirovaniya i shoki neopredelennosti. Vestnik mezhdunarodnyh organizacij: obrazovanie, nauka, novaya ekonomika], vol. 12, 2, pp. 211–225 (2017)
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Zaytsev, A.G., Mosina, E.I., Kuznetsova, I.V., Bobrova, E.A., Simonov, S.V. (2021). Factors of Adaptation of Economically Active Population to the Processes of Economy Digitalization. In: Popkova, E.G., Sergi, B.S. (eds) Modern Global Economic System: Evolutional Development vs. Revolutionary Leap. ISC 2019. Lecture Notes in Networks and Systems, vol 198. Springer, Cham. https://doi.org/10.1007/978-3-030-69415-9_106
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