2019 (16), №3

Theoretical Foundations of Digital Transformation of Economy and People’s Quality of Life



For citation: 

Litvintseva, G. P., & Petrov, S. P. (2019). Theoretical Foundations of Digital Transformation of Economy and People’s Quality of Life. Zhurnal Economicheskoj Teorii [Russian Journal of Economic Theory], 16(3), 414-427


The ongoing digital transformation of economy and society underlies the need to consider theoretical foundations of people’s life digitalization as well as empiric analysis of life quality change in the regions of Russia in modern conditions. Basing on the methodology of civilizational approach of social development periodization, it has been shown that digital society and, therefore, digital economy serve as one of the stages of civilization development. At its core stand large-scaled production and digital technologies use. The authorial theory of interaction between material and technologic environment on one hand and institutional arrangement of society on another specifies the influence of digital transformation on all components of people’s quality of life. Considering the world’s complexity and the presence of uncertainty and risks, this article discusses positive and negative impact of digitalization on people’s life activity. The method of computation of Russian regional index of the digital component of living standards has been used to conduct the empirical analysis. It is based on the convolution of partial indicators within six blocks: quality of people and their digital competences, availability of digital goods, quality of work life and social sphere in conditions of digitalization, quality of state electronic services for people and safety of population’s information activity. The results of integral index computation and clustering of regions for the period of 2015–2017 have led to the finding of a significant differentiation in the level of digital component of people’s life in federal districts and regions of Russia. The conclusions of this research can be used for further development of the digital society theory and for scientific justification of currently forming programs of digital economy development in regions of the Russian Federation.

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Galina Pavlovna Litvintseva — Doctor of Economics, Professor, Head of the Department of Economic Theory and Applied Economics, Novosibirsk State Technical University (Novosibirsk, Russian Federation; e-mail: litvintseva-g@mail. ru).

Sergey Pavlovich Petrov — PhD in Economics, Associate Professor at the Department of Economic Theory and Applied Economics, Novosibirsk State Technical University (Novosibirsk, Russian Federation; e-mail: s.petrov@corp.nstu.ru).

Ayvazyan, S. A. (2012). Analiz kachestva i obraza zhizni naseleniya (ekonometricheskiy podkhod): monografiya [Analysis of the quality and lifestyle of population (econometric approach): monograph]. Moscow, Russia: “Nauka” Publ., 432. (In Russ.) Aptekman, A., Kalabin, V., Klintsov, V., Kuznetsova, E., Kulagin, V., & Yasenovets, I. (2017). Tsifrovaya Rossiya: novaya real’nost’ [Digital Russia: new reality]. Digital McKinsey. Retrieved October 10, 2019, from https://www.mckinsey.com/~/ media/McKinsey/Locations/Europe%20and%20Middle%20East/Russia/Our%20Insights/Digital%20Russia/Digital-Russia-report.ashx. (In Russ.)

Bobkov, V. N., Gulyugina, A. A., Zlenko, E. G., & Odintsova, E. V. (2017). Sravnitel’nye kharakteristiki indikatorov kachestva i urovnya zhizni v rossiyskikh regionakh: subekty, federal’nye okruga, Arktika [Comparative Characteristics of Indicators of Living Standards and Quality of Life in Russian Regions: Subjects, Federal Districts, the Arctic Regions]. Uroven’ zhizni naseleniya regionov Rossii [Standard of living of population of the regions of Russia], 1, 50–64. DOI: 10.12737/arti- cle_58eca25b7b0a47.04217125. (In Russ.)

Brendeleva, E. A. (2017). Institutsional’naya sreda tsifrovoy ekonomiki [Institutional environment of digital econ- omy]. Ekonomika i upravlenie: problemy, resheniya [Economics and management: problems, solutions], 5(11), 71–76. (In Russ.)

Eliseeva, I. I., & Raskina, Y. V. (2017). Izmerenie bednosti v Rossii: vozmozhnosti i ogranicheniya [Measuring poverty in Russia: possibilities and limitations]. Voprosy statistiki [Issues of statistics], 8, 70–89. (In Russ.)

Zherebin, V. M., Ermakova, N. A., & Makhrova, O. N. (2017). Sotsial’no-psikhologicheskie aspekty organizatsii virtu- al’noy zhizni [Socio-psychological aspects of virtual life organization]. Narodonaselenie [Population], 2, 129–137. (In Russ.) Kushchenko, S. V., Litvintseva, G. P., & Os’muk, L. A. (Eds.) (2009). Kachestvo zhizni naseleniya v Rossii i ee regionakh: kol. monografiya [Quality of life in Russia and its regions: collective monograph]. Novosibirsk, Russia: NSTU Publ., 560. (In Russ.)

Korovin, G. B. (2019). Sotsial’nye i ekonomicheskie aspekty tsifrovizatsii v Rossii [Social and Economic Aspects of Digitalization in Russia]. Zhurnal Economicheskoj Teorii [Russian Journal of Economic Theory], 16(1), 1–11. DOI: 10.31063/2073–6517/2019.16–1.1. (In Russ.)

Lapidus, L. (2018). Tsifrovaya ekonomika. Upravlenie elektronnym biznesom i elektronnoy kommertsiey [Digital Economy. Managing e-business and e-commerce]. M.: Infra-M, 479. (In Russ.)

Litvintseva, G. P. (2003). Produktivnost’ ekonomiki i instituty na sovremennom etape razvitiya Rossii: Monografiya [Economic productivity and institutions at the present stage of Russian development: monograph]. Novosibirsk, Russia: Nauka, 380. (In Russ.)

Markova, V. D. (2018). Vliyanie tsifrovoy ekonomiki na biznes [Influence of Digital Economy on Business]. EKO [ECO], 12, 7–22. DOI: 10.30680/ЕСО0131–7652–2018–12–7-22. (In Russ.)

Popov, E. V. (2018). Ekonotronika [Econotronics]. Ekonomika regiona [Economy of Region], 14(1), 13–28. DOI: 10.17059/2018–1-2. (In Russ.)

Popov, E. V., & Semyachkov, K. A. (2018). Problemy ekonomicheskoy bezopasnosti tsifrovogo obshchestva v usloviyakh globalizatsii [Problems of Economic Security for Digital Society in the Context of Globalization]. Ekonomika regiona [Economy of Region], 14(4), 1088–1101. DOI: 10.17059/2018–4-3. (In Russ.)

Rimashevskaya, N. M., & Migranova, L. A. (2016). Sotsial’no-ekonomicheskoe neravenstvo v Rossii [Socio-economic differentiation in Russia]. Narodonaselenie [Population], 3, 17–33. (In Russ.)

Shevyakov, A. Yu., & Kiruta, A. Ya. (2008). Modelirovanie vliyaniya neravenstva na dinamiku rozhdaemosti i smertnosti [Modelling the impact of inequality on the dynamics of fertility and mortality]. Narodonaselenie [Population], 1, 30–38. (In Russ.)

Shmakov, A. V. (2014). Vozdeystvie faktora doveriya na protsess prinyatiya ekonomicheskikh resheniy [The impact of the trust factor on economic decision-making process]. Terra Economicus, 12(3), 29–47. (In Russ.)

Atkinson, A. B. (1975). The Economics of Inequality. London: Clarendon Press; Oxford University Press, 295.

Barbe, A.-S., & Hussler, C. (2019). “The war of the worlds won’t occur”: Decentralized evaluation systems and orders of worth in market organizations of the sharing economy. Technological Forecasting and Social Change, 143, 64–75. DOI: 10.1016/j.techfore.2019.02.011.

Colangelo, G., & Maggiolino, M. (2019). From fragile to smart consumers: Shifting paradigm for the digital era. Computer Law and Security Review, 35(2), 173–181. DOI: 10.1016/j.clsr.2018.12.004.

Digital Transformation Initiative. (2017). The World Economic Forum. Retrieved April 1, 2018, from https://www.accenture.com/t20170411T120304Zw/us-en/_acnmedia/-Accenture/Conversion-Assets/WEF/PDF/Accenture-DTI-executive-summary.pdf.

Eferin, Y., Hohlov, Y., & Rossotto, C. (2019). Digital platforms in Russia: competition between national and foreign multi-sided platforms stimulates growth and innovation. Digital Policy, Regulation and Governance, 21(2), 129–145. DOI: 10.1108/DPRG-11–2018–0065.

Evans, P., & Wurster, T. S. (2000). Blown to Bits: How the New Economics of Information Transforms Strategy. Boston: HBSP, 259.

Greengard, S. (2015). The Internet of Things. Cambridge: MIT Press, 232.

Gustafsson, B., Li, S., Nivorozhkina, L., & Wan, H. (2015). Yuan and roubles: comparing wage determination in urban china and Russia at the beginning of the new millennium. China Economic Review, 35, 248–265.

Ismagilova, E., Hughes, L., Dwivedi, Y. K., & Raman, K. R. (2019). Smart cities: Advances in research-An information systems perspective. International Journal of Information Management, 47, 88–100. DOI: 10.1016/j.ijinfomgt.2019.01.004. Komninos, N., Kakderi, C., Panori, A., & Tsarchopoulos, P. (2019). Smart City Planning from an Evolutionary Perspective. Journal of Urban Technology, 26(2), 3–20. DOI: 10.1080/10630732.2018.1485368.

Kovacs, O. (2018). The dark corners of industry 4.0 — Grounding economic governance 2.0. Technology in Society, 55, 140–145. DOI: 10.1016/j.techsoc.2018.07.009.

Litvintseva, G. P., Glinskiy, V. V., & Stukalenko, E. A. (2017). Interregional differentiation of population incomes in Russian Federation in the post-crisis period. Academy of Strategic Management Journal, 16(4), 1–10.

Lomonosova, N. V., & Zolkina, A. V. (2018). Digital learning resources: enhancing efficiency within blended higher ed- ucation. Novosibirsk State Pedagogical University Bulletin, 8(6), 121–137. DOI: 10.15293/2226–3365.1806.08.

Moore, J. F. (2006). Business ecosystems and the view from the firm. Antitrust Bulletin, 51(1), 31–75.

Muro, M., Liu, S., Whiton, J., & Kulkarni, S. (2017). Digitalization and the American Workforce. Retrieved April 30, 2019, from https://www.brookings.edu/wp-content/uploads/2017/11/mpp_2017nov15_digitalization_full_report.pdf.

Negroponte, N. (1995). Being digital. New York: Knopf, 243.

Neumaier, M. (2019). Diagnostics 4.0: The medical laboratory in digital health. Clinical Chemistry and Laboratory Medicine, 57(3), 343–348. DOI: 10.1515/cclm-2018–1088.

OECD. (2017). OECD Digital Economy Outlook 2017. Retrieved March 3, 2019, from http://dx.doi. org/10.1787/9789264276284-en.

OECD. (2019). How’s Life in the Digital Age? Retrieved March 3, 2019, from https://doi.org/10.1787/9789264311800-en. Parn, E. A., & Edwards, D. (2019). Cyber threats confronting the digital built environment: Common data environment vulnerabilities and block chain deterrence. Engineering, Construction and Architectural Management, 26(2), 245–266. DOI: 10.1108/ECAM-03–2018–0101.

Schultz, T. W. (1993). The Economics of Being Poor. Oxford: Blackwell, 340.

Schwab, K. (2017). The Fourth Industrial Revolution. New York: Crown Business, 192.

Sen, A. (1997). Resources, Values, and Development. Cambridge: Harvard University Press, 560.

Stroeva, O. A., Zviagintceva, Y., Tokmakova, E., Petrukhina, E., & Polyakova, O. (2019). Application of remote technol- ogies in education. International Journal of Educational Management, 33(3), 503–510. DOI: 10.1108/IJEM-08–2018–0251.

Suvorov, A. V., Sukhorukova, G. M., Ivanov, V. N., Boldov, O. N., & Moiseeva, T. A. (2014). Analysis of income inequality factors. Studies on Russian Economic Development, 25(4), 362–378. DOI: 10.1134/S1075700714040121.

Tan, P., Steinbach, M., Karpatne, A., & Kumar, V. (2019). Introduction to Data Mining. Chapter 7. Cluster Analysis: Basic Concepts and Algorithms. Retrieved April 26, 2019, from https://www-users.cs.umn.edu/~kumar001/dmbook/ch7_cluster- ing.pdf.

Tapscott, D. (1994). The digital economy: promise and peril in the age of networked intelligence. New York: McGraw-Hill, 368.

White, A. (2014). Digital Media and Society: Transforming Economics, Politics and Social Practices. Basingstoke & New York: Palgrave Macmillan, 240.

Yablonsky, S. (2018). A Multidimensional Framework for Digital Platform Innovation and Management: From Business to Technological Platforms. Systems Research and Behavioral Science, 35(4), 485–501. DOI: 10.1002/sres.2544.