Advertisement

Priority of Intellectual Resources for Development of Digital Entrepreneurship

  • Irina V. MukhomorovaEmail author
  • Aydarbek Giyazov
  • Gulzat K. Tashkulova
  • Nurgul K. Atabekova
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 91)

Abstract

Purpose: The purpose of the article is to develop an algorithm of development of a digital company on the basis of intellectual resources, which emphasizes their priority and reflects the logic of their usage.

Design/methodology/approach: The empirical part of the research is connected to studying the experience of modern Russia in using intellectual resources in the activities of digital entrepreneurship. For this, the structural analysis, analysis of variation, and correlation analysis are used. The sectorial structure of digital entrepreneurship in Russia (determined according to the criterion of using the Internet for purchases and sales) in 2018 is determined.

Findings: As a result of logical analysis of the modern Russian practice of using intellectual resources in entrepreneurship, the authors determine an “institutional trap” – innovations and automatization are performed in Russian entrepreneurship for obtaining state support. In a lot of cases, intellectual resources are not in high demand in entrepreneurship, and thus they are used formally for bringing the indicators of economic activities of a company in accordance with the state’s requirements. That’s why instead of acceleration, state stimulation of using intellectual resources leads to restraint of development of digital entrepreneurship in Russia. Overcoming this “institutional trap” envisages adoption of a new strategy of state stimulation of development of digital entrepreneurship, which has to be oriented not at setting of plans and financial support (direct stimulation) but at creation of market stimuli for usage of intellectual resources in the interests of increase of competitiveness of entrepreneurship (indirect stimulation).

Originality/value: An algorithm of development of a digital company on the basis of intellectual resources is developed – it reflects the perspectives of improving the management of its internal processes and allows using its possibilities, solving its current problems, and using the potential of its innovative development of and automatization.

Keywords

Intellectual resources Development of digital entrepreneurship Automatization AI Russia 

JEL Code

L26 L53 O15 O31 O32 O33 O38 

References

  1. Ansong, E., Boateng, R.: Surviving in the digital era – business models of digital enterprises in a developing economy. Digit. Policy Regul. Gov. 21(2), 164–178 (2019)CrossRefGoogle Scholar
  2. Bezrukova, T.L., Popova, E.V., Korda, N.I., Kuznetsova, T.E., Bezrukov, B.A.: Institutional traps of innovative and investment activities as an obstacle on the path to the well-balanced development of regions. In: Contributions to Economics, (9783319606958), pp. 235–240 (2017)Google Scholar
  3. Bogoviz, A.V., Lobova, S.V., Ragulina, J.V.: Perspectives of growth of labor efficiency in the conditions of the digital economy. In: Lecture Notes in Networks and Systems, vol. 57, pp. 1208–1215 (2019)Google Scholar
  4. Dereń, A., Seretna-Sałamaj, D., Skonieczny, J.: Intellectual resources in polish enterprises in the SME sector - analysis of the obtained research results. Adv. Intell. Syst. Comput. 854, 49–59 (2019)Google Scholar
  5. Morris, S.S., Snell, S.A.: Intellectual capital configurations and organizational capability: an empirical examination of human resource subunits in the multinational enterprise. J. Int. Bus. Stud. 42(6), 805–827 (2011)CrossRefGoogle Scholar
  6. Popkova, E.G., Bogoviz, A.V., Lobova, S.V.: Vacuum in the structure of human capital: A view from the position of the theory of vacuum. In: Human Capital: Perspectives, Challenges and Future Directions, pp. 163–181. Nova Science Publishers, Inc. (2017a)Google Scholar
  7. Popkova, E.G., Morozova, I.A., Litvinova, T.N.: New challenges for human capital from the positions of its infrastructural role in the system of entrepreneurship. In: Human Capital: Perspectives, Challenges and Future Directions, pp. 257–275. Nova Science Publishers, Inc. (2017b)Google Scholar
  8. Popkova, E.G., Parakhina, V.N.: Managing the global financial system on the basis of artificial intelligence: possibilities and limitations. In: Lecture Notes in Networks and Systems, vol. 57, pp. 939–946 (2019)Google Scholar
  9. Pritvorova, T., Tasbulatova, B., Petrenko, E.: Possibilities of blitz-psychograms as a tool for human resource management in the supporting system of hardiness of company. Entrepr. Sustain. Issues 6(2), 840–853 (2018).  https://doi.org/10.9770/jesi.2018.6.2(25)CrossRefGoogle Scholar
  10. Sergi, B.S., Popkova, E.G., Bogoviz, A.V., Ragulina J.V.: Entrepreneurship and economic growth: the experience of developed and developing countries. In: Entrepreneurship and Development in the 21st Century, pp. 3–32. Emerald Publishing Limited (2019)Google Scholar
  11. Shah, S., Shah, B., Amin, A., Al-Obeidat, F., Chow, F., Moreira, F.J.L., Anwar, S.: Compromised user credentials detection in a digital enterprise using behavioral analytics. Future Gen. Comput. Syst. 93, 407–417 (2019)CrossRefGoogle Scholar
  12. Sibirskaya, E., Popkova, E., Oveshnikova, L., Tarasova, I.: Remote education vs traditional education based on effectiveness at the micro level and its connection to the level of development of macro-economic systems. Int. J. Educ. Manag. 33(3), 533–543 (2019).  https://doi.org/10.1108/IJEM-08-2018-0248CrossRefGoogle Scholar
  13. TAdviser.: Financial provision of implementation of the national program “Digital economy of the Russian Federation” (2019). http://www.tadviser.ru/index.php/Cтaтья:Финaнcиpoвaниe_пpoгpaммы_Цифpoвaя_экoнoмикa. Accessed 25 May 2019
  14. Vanchukhina, L.I., Leybert, T.B., Khalikova, E.A., Khalmetov, A.R.: New approaches to formation of innovational human capital as an element of institutional environment. Espacios 39, 22–32 (2018)Google Scholar
  15. World Bank (2019). https://data.worldbank.org/indicator/GB.XPD.RSDV.GD.ZS. Accessed 25 May 2019
  16. National Research University “Higher School of Economics” (2019). Digital economy: 2019. https://www.hse.ru/primarydata/ice2019kr. Accessed 24 May 2019
  17. Federal State Statistics Service of the Russian Federation (2019). Russia in numbers: statistical collection. http://www.gks.ru/bgd/regl/b18_11/Main.htm. Accessed 25 May 2019

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Irina V. Mukhomorova
    • 1
    Email author
  • Aydarbek Giyazov
    • 2
  • Gulzat K. Tashkulova
    • 3
  • Nurgul K. Atabekova
    • 4
  1. 1.Russian State Social UniversityMoscowRussia
  2. 2.Kyrgyz National University named after J. BalasaginBishkekKyrgyzstan
  3. 3.Kyrgyz National UniversityBishkekKyrgyzstan
  4. 4.Kyrgyz State Law AcademyBishkekKyrgyzstan

Personalised recommendations