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A MODEL OF GOVERNANCE IN DIGITAL SOCIAL AND ECONOMIC SYSTEMS
Mikhail I. Grachev, St. Petersburg University of the Ministry of Internal Affairs of Russia, St. Petersburg, Russia, mig2500@mail.ru
Vyacheslav G. Burlov, Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russia, burlovvg@mail.ru
Abstract
In the modern world, rapid changes are taking place based on the introduction of modern information technologies, leading to the digitalization of ecosystems, including social and economic systems (SES). Modern web technologies, which represent a huge information system, have an increasing influence on human life. In the course of its functioning, the information environment is exposed to negative influences from outside, with the aim of destructive impact on it. To maintain the goal of functioning of the information component of the system, it is necessary to have a properly constructed system and an adequate model of response to external influences. The SES response model will be based on the consideration of three processes, namely: the problem formation process, the problem identification process, and the problem neutralization (elimination) process. An indicator of the effectiveness of the functioning of ecosystems will be the likelihood that each problem will be identified and neutralized. The simulation results confirm the main directions in the development and functioning of the SES. The need for the development and subsequent application of methods and techniques that allow to achieve the set goal in a shorter time remains relevant and in demand, respectively, they will always be relevant and in demand. For a rational approach to making management decisions, the head responsible for the operation of the SES can use network planning, which will serve as a plan for carrying out the entire cycle of processes for maintaining the information security of the SES as a whole. The presence of a response model for the head of the SES will allow him to use his available resources in a timely manner to counteract disruptions in work and increase the efficiency of managerial decision-making.
Keywords: model, management, digital social and economic systems, internet, solution, synthesis, process.
References
1. Yu.M. Akatkin, O.E. Karpov, V.A. Konyavsky, E.D. Yasinovskaya (2017) Digital Economy: Conceptual Architecture of the Digital Industry Ecosystem. Business Informatics. No 4 (42). S. 17-28. DOI: 10.17323 / 1998-0663.2017.4.17.28.
2. Luger, George, F. (2003) Artificial Intelligence: Strategies and Methods for Solving Complex Problems, 4th ed. Moscow: Publishing house «Williams». 432 p.
3. Stuart Russell and Peter Norvig (2020) Artificial Intelligence: A Contemporary Approach. Fourth edition. 1115 p.
4. T. Miller (2019). Explaining in Artificial Intelligence: Implications from the Social Sciences. Artificial Intelligence, vol. 267, February 2019, pp. 1-38.
5. V. Mayer-Schoenberger, K. Kukier (2014) Big data. A revolution that will change the way we live, work and think. Moscow: Mann, Ivanov and Ferber. 240 p.
6. K.E. Drexler, M. Minsky (1986) Machines of Creation: The Coming Era of Nanotechnology. Oxford, 1986.
7. M.A. Arbib (1964). Brains, machines and math. McGraw-Hill Book Co., New York. 494 p.
8. H. H. Good, R. E. Mahol (1957). Systems Engineering: An Introduction to Large-Scale System Design. McGraw-Hill Book Co., New York, 551 p.
9. V.G. Burlov, M.I. Grachev (2019) An analytical and dynamic model of management decisions in socio-economic systems on the example of the head of an educational institution of higher education. T-Comm. Vol. 13.No.10. P. 27-34. DOI: 10.24411 / 2072-8735-2018-10314
10. V.G. Burlov, M.I. Grachev (2017) A model for managing transport systems that takes into account the possibilities of innovation. Technical and technological problems of service. No. 4 (42). P. 34-38.
11. P.K. Anokhin (1979). Systemic mechanisms of higher nervous activity. Systemic mechanisms of higher nervous activity. Moscow: Nauka. 453 p. (in Russian).
12. A.G. Dorrer, G.A. Dorrer, G.M. Rudakova (2005) Modeling the educational process based on the theory of Markov chains. Information technologies. No. 11. pp. 63-69.
13. A.A. Khvostov (2019) Mathematical model of conflict dynamics based on the Markov chain. Information technologies in construction, social and economic systems. FGBOU VO «VSTU». Voronezh. No. 3-4 (17-18), pp. 30-35.
14. M. D. Mesarovich, Takahara. (1975). General Systems Theory: Mathematical Foundations. ACADEMIC PRESS New York, San Francisco, London.
15. Moiseev, N. N. (1981). Mathematical problems of system analysis. Nauka, Moscow. 468 p. (in Russian)
16. V.P. Simpson III, J.H. Patterson (1996). Search procedure using multiple trees for the task of planning a project with limited resources. European Journal of Operational Research. Vol. 89. No. 3. P. 525-542.
17. V.G. Burlov, M.I. Grachev (2016). Synthesis of a model of the management process of a public institution using an analytical-dynamic model. Regional informatics and information security. Collection of works. St. Petersburg Society of Informatics, Computer Engineering, Communication and Control Systems. P. 8-13.
18. V.G. Burlov, M.I. Grachev, (2017). Development of mathematical models of the motion of safety management considersthe possibility of Web-based technologies. Transportation Research Procedia. 20 (2017), pp. 100-106. doi: 10.1016 / j.trpro.2017.01.023
Information about authors:
Mikhail I. Grachev, St. Petersburg University of the Ministry of Internal Affairs of Russia, Senior Engineer of the Information Center, St. Petersburg, Russia
Vyacheslav G. Burlov, Peter the Great St. Petersburg Polytechnic University (SPbPU), Professor at the Higher School of Technosphere Safety, Doctor of Technical Sciences, Professor, St. Petersburg, Russia