graduate student
Moscow, Russian Federation
Introduction. A complex system of distributed situational centers is one of the main vectors of the transformation of public administration in Russia. Each region needs additional infrastructure to develop a promising mechanism of multifunctional tools for effective electronic administration and management of socio-economic processes within public and private partnerships. The versatility and exclusivity of this mechanism lie in its large-scale capabilities, which make it possible to engage the most important spheres of the state’s life in detailed monitoring, analysis, forecasting, and strategizing. Study objects and methods. The research featured the management systems of situational centers, which aim at developing public administration and regulation by increasing the speed of decision-making. The study involved such standard methods as economic analysis, classification, expert assessment, deduction, etc. Results and discussion. The results can serve as a theoretical basis for modifying the existing and planned situational centers in Russia, especially those that will form an integral part of the system of distributed situational centers. Taking into account the rapid development of new public administration instruments, it is necessary to bridge the gap between Russia and other countries. Conclusion. Modern realities dictate new approaches in the field of public administration and regulation. That is why the development of situational centers is a strategically important area for creating a centralized system for managing the country. Improving the functionality of such centers will lead to a qualitative improvement in the entire structure of the state apparatus.
situational center, cognitive center, monitoring systems, public administration, regional administration
1. Abramov VI, Evdokimov DS. Automated economic management systems of the USSR as prototypes of modern situational centers of the Russian Federation. Regional problems of transforming the economy. 2020;117(7):13-24. (In Russ.)
2. Abramov VI, Evdokimov DS. Situation center as a mechanism of state control management: Russian and foreign experience. Regional problems of transforming the economy. 2019;108(10):21-35. (In Russ.)
3. Burilina MA, Evdokimov DS. Agent-based modeling for decision support and forecasting in the transition to the digital economy. Moscow: CEMI RAS; 2020. 148 p. (In Russ.)
4. Bukh R, Heeks R. Defining, conceptualising and measuring the digital economy. International Organisations Research Journal. 2018;13(2):143-172. (In Russ.). https://doi.org/10.17323/1996-7845-2018-02-07
5. Zatsarinnyy AA, Shabanov AP. Effectiveness of situational centers and human factor. Moscow Witte University Bulletin. Series 1: Economics and Management. 2013;5(3):43-53. (In Russ.)
6. Ilʹin NI. Intellectualization of situational development centers. Relevant issues of global research: Russia in a globalizing world: collection of scientific papers; 2019; Moscow. Moscow: The International N. D. Kondratieff Foundation; 2019. p. 124-127. (In Russ.)
7. Ilʹin NI, Demidov NN, Novikova EV. Situational centers. Experience, state, and development tendencies. Moscow: MediaPress; 2011. 335 p. (In Russ.)
8. Makarov VL, Bakhtizin AR, Sushko ED, Abramov VI, Evdokimov DS. Using agent-based models to expand strategic functionality of the Kuzbass situation centers. Russian Journal of Industrial Economics. 2020;13(3):300-307. (In Russ.). https://doi.org/10.17073/2072-1633-2020-3-300-307
9. Kvint VL. To the analysis of the formation of a strategy as a science. Bulletin of CEMI. 2018;(1). https://doi.org/10.33276/S0000121-6-1
10. Kvint VL. Strategizing Concept. Vol. 1. St. Petersburg: SZIU RANKhiGS; 2019. 132 p. (In Russ.)
11. Kvint VL. The concept of strategizing. Vol. 2. St. Petersburg: SZIU RANKhiGS; 2020. 162 p. (In Russ.).
12. Makarov VL, Bakhtizin AR. Models of making the right decisions. Budget. 2018;190(10):92-96. (In Russ.)
13. Makarov VL, Bakhtizin AR. Social modeling as a new computer breakthrough (agent-based models). Moscow: Ehkonomika; 2013. 295 p. (In Russ.)
14. Makarov VL, Bakhtizin AR, Sushko ED. Situational modeling - the effective tool for strategic planning and management. Administrative Consulting. 2016;90(6):26-39. (In Russ.)
15. Markova VD. Digital economy: New opportunities and threats for regions. Region: Economics and Sociology. 2019;103(3):102-115. (In Russ.). https://doi.org/10.15372/REG20190304
16. Zatsarinnyi AA, Ilin NI, Kolin KK, Lepsky VE, Malkov SYu, Moskvich YuN, et al. Situational development centers as integrators of public administration in self-developing polysubject environments. Moscow: Cogito-Center; 2019. 252 p. (In Russ.)
17. Avdeeva ZK, Baryshnikov PYu, Bauehr VP, Zatsarinnyy AA, Zhurenkov DA, Ilʹin NI, et al. Socio-humanitarian aspects for situational centers of development. Moscow: Cogito-Center; 2017. 416 p. (In Russ.)
18. Avdeeva ZK, Baryshnikov PYu, Zhurenkov DA, Zatsarinnyi AA, Ilin NI, Kolin KK, et al. Strategic goal-setting in situational centers of development. Moscow: Cogito-Center; 2018. 320 p. (In Russ.)
19. Tsivilev SE. Kuzbass 2035: National interests and strategic priorities of the regional development. Russian Journal of Industrial Economics. 2020. V. 13. № 3. P. 281-289. (In Russ.) https://doi.org/10.17073/2072-1633-2020-3-281-289
20. Barricelli BR, Casiraghi E, Fogli D. A survey on digital twin: Definitions, characteristics, applications, and design implications. IEEE Access. 2019;7. https://doi.org/10.1109/ACCESS.2019.2953499
21. Danchul AN. The principles of building the information-analytical system of a teaching and research situation center. Scientific and Technical Information Processing. 2009;36(1):43-48. https://doi.org/10.3103/S0147688209010067
22. Raikov A. Convergent networked decision-making using group insights. Complex and Intelligent Systems. 2015;1(1-4):57-68. https://doi.org/10.1007/s40747-016-0005-9
23. Sudoh O. Digital economy and social design. Tokyo: Springer; 2005. 236 p. https://doi.org/10.1007/b137406
