Network human capital formation in the conditions of digital transformation of economy
https://doi.org/10.26425/2658-3445-2023-6-2-73-81
Abstract
The article reveals the pattern of network human capital formation. Network human capital has been proved to be closely connected and conditioned by digital transformation. On this basis, the relationship between network human capital formation and digital human capital has been substantiated. The purpose of the article is to consider a number of basic theoretical, methodological, and empirical foundations in the field of analysis of network human capital formation. Based on the analysis of a number of key studies in the area, it has been concluded that in the modern network economy, network human capital is determined by one of the most important strategic assets of organizations. It has been proposed to use the methodology of the Network Readiness Index to quantify network human capital. The theoretical and practical value of the proposed approach lies in the application of a methodology that gives priority to the human factor of network readiness and reflects the impact of individuals’ choices regarding technologies and management methods on innovative networks creation in the process of innovative technologies development and implementation. The emerging concept of network human capital is aimed at overcoming the digital inequality and using the Internet to implement positive social changes. This concept considers digital education in the context of the formation of an active socio-political position of human influence on society development.
About the Authors
N. M. GabdullinRussian Federation
Nail M. Gabdullin - Cand. Sci. (Econ.), Assoc. Prof. at the Corporate Finance Department
Kazan
I. A. Kirshin
Russian Federation
Igor A. Kirshin - Doc. Sci. (Econ.), Prof. at the Higher School of Business
Kazan
References
1. Dyatlov S.A. (2019), “Network human capital as a driver for the development of the digital economy”, Izvestiâ Sankt-Peterburgskogo gosudarstvennogo èkonomičeskogo universiteta, no. 4, pp. 26–31 (in Russian).
2. Dyatlov S.A., Lobanov O.S. and Gilmanov D.V. (2018), Digital neural network economy: institutions and development technologies, St. Petersburg State University of Economics Publ. House, St. Petersburg (in Russian).
3. Ministry of Digital Development, Communications and Mass Media of the Russian Federation, “Methodology for calculating the Index of readiness of countries for a network society”. Available at: https://digital.gov.ru/ru/activity/statistic/rating/indeks-gotovnosti-stran-k-setevomu-obshestvu/#tabs|Compare:Place (accessed 25.02.2023).
4. Selezneva A. (2020), “TOP-6 social networks in Russia for 2022: list of Russian social networks”. Available at: https://news.rambler.ru/scitech/48405880/?utm_content=news_media&utm_medium=read_more&utm_source=copylink (accessed 25.02.2023). (In Russian).
5. Bach A., Shaffer G. and Wolfson Т. (2013), “Digital human capital: developing a framework for understanding the economic impact of digital exclusion in low-income communities”, Journal of Information Policy, no. 3, pp. 247–266.
6. Coleman J.S. (1994), “Social Capital in the Creation of Human Capital”, The American Journal of Sociology, vol. 94, pp. 95–120.
7. Gilead Т. (2009), “Human capital, education and the promotion of social cooperation: a philosophical critique”. Studies in Philosophy and Education, vol. 28, no. 6, pp. 555–567, DOI http://dx.doi.org/10.1007/s11217-009-9146-2
8. GlobalEDGE, “World Economic Forum. The Global Information Technology Report”. Available at: https://globaledge.msu.edu/global-resources/resource/763 (accessed 25.02.2023).
Review
For citations:
Gabdullin N.M., Kirshin I.A. Network human capital formation in the conditions of digital transformation of economy. E-Management. 2023;6(2):73-81. (In Russ.) https://doi.org/10.26425/2658-3445-2023-6-2-73-81