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Requirements for the innovation environment in the transition to the digital economy

https://doi.org/10.21686/2500-3925-2018-6-58-68

Abstract

The purpose of the study is to identify the requirements of the digital economy to the technological level of the innovation environment development based on statistical analysis of indicators of the innovation environment. Over the past few decades, the vector of innovative economic development has changed from information to digital. A distinctive feature of the transition to a digital economy is the use of data in digital form to create innovation.

Materials and methods. The sources of actual data were the reports and databases of official statistical reporting, international organizations (United Nations, World Intellectual Property Organization, International Telecommunication Union). Based on the correlation analysis, the factors of the innovation environment that have the greatest impact on the innovation activity of enterprises were identified. The obtained results helped to formulate the requirements for the innovation environment, enabling the transition to a digital economy.

Results. The research of patent activity showed that the greatest number of inventions is registered in the field of computer technologies and digital communications. At the same time, these technologies themselves are a source of innovation in other areas of application (commerce, finance, education, etc.). The results of the correlation analysis allow us to choose the factors of the innovation environment that have the greatest impact on the results of innovation. These factors include intellectual and IT support for the innovation environment. The requirements to the innovation environment, providing transition to digital economy were formulated: equal access to IT-infrastructure, intellectual world potential, digital data, and methodical support of continuous interaction of various stakeholders in innovative activity.

Conclusion. Innovation activity in the information society and the transition to the digital economy requires different states of the innovation environment. Statistical studies show that access and the amount of accumulated IT in the society and intellectual potential have a great influence on the development of innovation. The innovation environment in the digital economy faces new challenges to ensure equal opportunities for access and interaction among different stakeholders.

About the Author

Natalia V. Dneprovskaya
Plekhanov Russian University of Economics
Russian Federation

Cand. Sci. (Economics), Associate Professor, Department of Information System Management and Programming

Moscow



References

1. Bell D. Gryadushcheye postindustrial’noye obshchestvo: opyt sotsial’nogo prognozirovaniya = The coming post-industrial society: the experience of social forecasting Tr. fr. Eng. Ed. V.L. Inozemtsev. Moscow: Academia; 2004. (In Russ.)

2. Kastel’s M. Informatsionnaya epokha: ekonomika, obshchestvo i kul’tura = Information Age: Economy, Society and Culture. Tr. fr. Eng. Ed. O.I. SHkaratana. Moscow: SU-HSE; 2000. 608 p. (In Russ.)

3. Uebster F. Teorii informatsionnogo obshchestva = Theories of the Information Society Tr. fr. Eng. M.V. Arapova, N.V. Malykhinoy. Ed. E.L. Vartanovoy. Moscow: Aspekt Press; 2004. 400 p. (In Russ.)

4. ICT and e-Business for an Innovative and Sustainable. 7th Synthesis Report of the Sectoral e-Business Watch. European Commission. 2010. [Internet] Available from: http://www.ebusiness-wat•sh.org/ (cited: 04.04.2015).

5. Kristensen K.M. Dilemma innovatora: Kak iz-za novykh tekhnologiy pogibayut sil’nyye kompanii = Innovator's dilemma: How do strong companies die because of new technologies? Tr. fr. Eng. 5th ed. Moscow: Alpina Publisher; 2016. 236 p. (In Russ.)

6. Ivanov V.V., Malinetskiy G.G. Digital Economy: From Theory to Practice. Innovatsii = Innovations. 2017; 12 (230): 3-12. (In Russ.)

7. YUdina M.A. Industry 4.0: Perspectives and Challenges for Society. Gosudarstvennoye upravleniye. Elektronnyy vestnik = State Administration. Electronic messenger. 2017; 60: 197–215. [Internet] Available from: http://e-journal.spa.msu.ru/vestnik/item/60_2017yudina.htm (cited: 26.01.2018). (In Russ.)

8. GOST R 54147-2010: Strategicheskiy i innovatsionnyy menedzhment. Terminy i opredeleniya. = GOST R 54147-2010: Strategic and innovative management. Terms and Definitions. [Internet] Available from: http://docs.cntd.ru/document/gost-r-54147-2010 (cited: 10.11.2018). (In Russ.)

9. Fedotov A. V., Vasyukov A. V. Determining factors of innovative development of industrial enterprises. Upravleniye ekonomicheskimi sistemami: elektronnyy nauchnyy zhurnal = Management of economic systems: electronic scientific journal. 2014; 2 (62). (In Russ.)

10. YUr’yev V.N., Dybok D.M. Cluster analysis of factors affecting the innovative development of the economy in the regions of the Russian Federation. Statistika i Ekonomika = Statistics and Economics. 2017; 1: 51-59. (In Russ.)

11. Valentey S.D., Dzhanayeva N.G. Ecological direction in the system of knowledge about population. Statistika i Ekonomika = Statistics and Economics. 2017; 5: 61-70. DOI: https://doi.org/10.21686/2500-3925-2017-5-61-70. (In Russ.)

12. Minashkin V.G., Prokhorov P.E. Statistical analysis of the use of digital technologies in organizations: a regional aspect. Statistika i Ekonomika = Statistics and Economics. 2018; 15(5): 51-62. DOI: https://doi.org/10.21686/2500-3925-2018-5-51-62. (In Russ.)

13. Sychev S.A. Statisticheskaya otsenka vliyaniya faktorov «tekhnologicheskogo liderstva» na dinamiku proizvoditel’nosti truda v sub”yektakh RF = Statistical assessment of the influence of factors of “technological leadership” on the dynamics of labor productivity in the regions of the Russian Federation.. Statistika i Ekonomika = Statistics and Economics. 2017; 2: 29-38. DOI: https://doi.org/10.21686/2500-3925-2017-2-29-38. (In Russ.)

14. Dahlman C. J., Chen D. H. The knowledge economy, the KAM methodology and world operations. Washington DC: The World Bank; 2005.

15. Indikatory innovatsionnoy deyatel’nosti: 2017 : Statisticheskiy sbornik = Indicators of innovation activity: 2017: Statistical compilation. Gorodnikova N. V., Gokhberg L. M., Ditkovskiy K. A. et al. Moscow: HSE; 2017. 328: ISBN 978-5-7598-1557-0. (In Russ.)

16. Urintsov A.I., Staroverova O.V., Sviridova E.S. Institute of Intellectual Property in the context of modern innovative development of Russia. Vestnik Moskovskogo universiteta MVD Rossii = Bulletin of Moscow University of the Ministry of Internal Affairs of Russia. 2018; 5: 288-291. (In Russ.)

17. Global statistics on the PCT. World Intellectual Property Organization. Statistics database. [Internet] Available from: https://www3.wipo.int/ipstats/pmhindex.htm?tab=pct (cited: 01.08.2018).

18. Global statistics on the Madrid System. World Intellectual Property Organization. Statistics database. [Internet] Available from: https://www3.wipo.int/ipstats/index.htm?tab=trademark (cited: 01.08.2018).

19. ICT Development Index 2017. International Telecommunication Union. [Internet] Available from: http://www.itu.int/net4/ITU-D/idi/2017/index.html (cited: 01.08.2018).

20. UN Comtrade Database. United Nations. [Internet] Available from: https://comtrade.un.org/ (cited: 01.08.2018).

21. World University Rankings 2019. The World University Rankings [Internet] Available from: https://www.timeshighereducation.com/world-university-rankings/2018/world-ranking#!/page/0/ length/25/locations/DZ/sort_by/rank/sort_order/ asc/cols/stats (cited: 01.12.2018).

22. Members and partners. OECD [Internet] Available from: http://www.oecd.org/about/membersandpartners/ (cited: 10.11.2018).

23. Solodov A.A. Mathematical principles for the construction of rating systems. Statistika i Ekonomika = Statistics and Economics. 2016; 1: 75-82. DOI: https://doi.org/10.21686/2500-3925-2016-1-75-82. (In Russ.)

24. Pavlekovskaya I. V., Urintsov A.I., Staroverova O.V. The impact of scientific and technological progress on the development of the information society. Vestnik ekonomicheskoy bezopasnosti = Bulletin of economic security. 2017; 3: 212-217. (In Russ.)

25. SHvab K. CHetvertaya promyshlennaya revolyutsiya = The Fourth Industrial Revolution. Tr. fr. Eng. Moscow: Eksmo; 2018. 288 p. (In Russ.)

26. Lipuntsov YU.P. Using the information infrastructure of the digital economy to improve the quality of statistical data. Statistika i Ekonomika = Statistics and Economics. 2018 ; 15(4): 77-86. DOI: https://doi.org/10.21686/2500-3925-2018-4-77-86. (In Russ.)

27. Afanasev M., Dneprovskaya N., Kliachin M. and Demidko D. Digital Transformation of the Knowledge Management Process. Proceedings of the 19th European Conference on Knowledge Management – ECKM 2018. E. Bolisani, E. Di Maria and E. Scarso (Eds.) (2018, Padova, Italy) Sonning Common: Academic Conferences and Publishing International Limited; 2018. Vol. 1. P. 1-8.


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For citations:


Dneprovskaya N.V. Requirements for the innovation environment in the transition to the digital economy. Statistics and Economics. 2018;15(6):58-68. (In Russ.) https://doi.org/10.21686/2500-3925-2018-6-58-68

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