DOI: 10.33917/mic-2.127.2026.44-52

The article is devoted to substantiating the importance of the concept of dynamic economic security of an enterprise in the context of digital transformation and high turbulence of the external environment. The limitations of traditional static models of «perimeter» protection, which lose their effectiveness due to information overload and non-linearity of economic processes, are analyzed. The hypothesis is substantiated that the level of security of modern business is determined by the quality and speed of management decisions. A dynamic security architecture based on a symbiosis of artificial intelligence (for 24/7 operational response) and collective intelligence (for strategic thinking) is proposed. The necessity of transition from extrapolation forecasting to scenario modeling and management of a multi-criteria choice is argued. The principles of business resilience are formulated as the ability to maintain a development trajectory through controlled changes and cognitive convergence of heterogeneous data.

References:

[1-21] See in no. 1/2026, p. 50-52.

22. Rittel H.W.J., Webber M.M. Dilemmas in a General Theory of Planning. Policy Sciences. 1973;4(2):155-169.

23. Keeney R.L., Raiffa H., Rajala D.W. Decisions with Multiple Objectives: Preferences and Value Trade-Offs. IEEE Transactions on Systems, Man, and Cybernetics. 1977. p. 403 URL: https://www.researchgate.net/publication/3116639_Decisions_with_Multiple_Objectives_Preferences_and_Value_Trade-Offs

24. Taleb N.N. The Black Swan. Under the Sign of Unpredictability. Moscow: KoLibri, Azbuka-Atticus, 2012. 736 p.

25. Robinson J.B. Futures Under Glass: A Recipe for People Who Hate to Predict. Futures. 1990;22(9):820-842. DOI: 10.1016/0016-3287(90)90018-D

26. Gordeev V.V., Abramov V.I. Business Process Forecasting as a Decision-Making Tool within a Proactive Management Approach. Economics and Management. 2025;31(7):893-902. DOI 10.18334/evp.6.4.123876

27. Nikogosyan A.Z., Abramov V.I. Remote Dynamic Control in Transport Logistics: The Role and Benefits of the Internet of Things. Economics and Management: Problems, Solutions. 2025;5(4(157)):183-195. DOI 10.36871/ek.up.p.r.2025.04.05.022.

28. Godet M. Creating Futures: Scenario Planning as a Strategic Management Tool. London: Economica, 2001. 269 p.

29. Ageev A.I., Grabchak E.P., Loginov E.L. A New Model of Managing the Russian Economy in the Context of Hybrid Risks and Threats. Economic Strategies. 2025;5(203): 6-19. DOI: https://doi.org/10.33917/es-5.203.2025.6-19

30. McGrath R.G. The End of Competitive Advantage (translated from English by V.N. Egorova). Moscow: Binom. Lab. of Knowledge, 2013. 248 p.

31. Abramov V.I., Gordeev V.V., Stolyarov A.D. Digital Transformation of Industrial Enterprises into Digital Business Ecosystems: Structural Components and Practical Aspects of Implementation. Fundamental Research. 2024;9:78-85. DOI 10.17513/fr.43680

32. Abramov V.I., Stolyarov A.D. Digital Business Ecosystems: Typology and Design. Modern Economy Success. 2025;6:370-379. DOI 10.18334/vinec.15.4.124210

DOI: 10.33917/mic-1.126.2026.42-52

The article is devoted to substantiating the importance of the concept of dynamic economic security of an enterprise in the context of digital transformation and high turbulence of the external environment. The limitations of traditional static models of «perimeter» protection, which lose their effectiveness due to information overload and non-linearity of economic processes, are analyzed. The hypothesis is substantiated that the level of security of modern business is determined by the quality and speed of management decisions. A dynamic security architecture based on a symbiosis of artificial intelligence (for 24/7 operational response) and collective intelligence (for strategic thinking) is proposed. The necessity of transition from extrapolation forecasting to scenario modeling and management of a multi-criteria choice is argued. The principles of business resilience are formulated as the ability to maintain a development trajectory through controlled changes and cognitive convergence of heterogeneous data.

References:

1. Glazyev S.Yu. State and Prospects of the Sixth Technological Wave in the Russian Economy. Economics of Science. 2024;10(2):11-29. DOI 10.22394/2410-132X-2024-10-2-11-29

2. Schwab K. The Fourth Industrial Revolution. Moscow: Eksmo, 2021. 208 p.

3. Cascio J. Facing the Age of Chaos. Medium. 2020. URL: https://medium.com/@cascio/facing-the-age-of-chaos-b00687b1f51d

4. Gantz J., Reinsel D. The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East. IDC Analyze the Future. 2012. pp. 1-16. URL: https://www.cs.princeton.edu/courses/archive/spring13/cos598C/idc-the-digital-universe-in-2020.pdf

5. Simon H.A. Designing Organizations for an Information-Rich World. Computers, Communications, and the Public Interest (ed. by M. Greenberger) Baltimore: The Johns Hopkins Press, 1971. pp. 37-72.

6. Abramov V.I., Arefyev D.V. Ecosystem Development of Enterprises: Opportunities, Risks, and Features of Assessing Their Digital Maturity. New in Economic Cybernetics. 2025;1:70-84. DOI 10.5281/zenodo.15165454

7. Teece D.J. Business models and dynamic capabilities. Long Range Planning. 2018;51:1. DOI: 10.1016/j.lrp.2017.06.007

8. Knight F.H. Risk, Uncertainty, and Profit. Moscow: DELO Publishing House, 2003. 360 p.

9. Ackoff R.L. Management Misinformation Systems. Management Science. 1967;14(4). URL: http://dx.doi.org/10.1287/mnsc.14.4.B147

10. Kahneman D. Thinking, Fast and Slow. Moscow: AST, 2011. 656 p.

11. McAfee A., Brynjolfsson E. The Second Machine Age. Work, Progress, and Prosperity in the Age of New Technologies. Moscow: AST, 2017. 384 p.

12. Senge P. The Fifth Discipline: The Art and Practice of the Learning Organization. Moscow: MIF. Business, 2018. 496 p.

13. Tett D. The Curse of Efficiency: The Mine Shaft Syndrome. How to Overcome Disunity in Life and Business. Moscow: Olimp-Business, 2017. 336 p.

14. Page S.E. The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies. Princeton: Princeton University Press, 2007. 456 p.

DOI: 10.33917/mic-2.121.2025.57-69

The subject under observation is the methodology of subject-oriented process management of industrial enterprises as an alternative to traditional approaches. The study highlights the need to adapt management techniques to the high dynamism and uncertainty of the market environment, especially in the context of the Russian economy. The analysis of the structure of subject-oriented management is carried out, which is based on the interaction of several levels of management: from meta-guidelines to specific practical tools. Among the key advantages of the methodology are the ability to quickly test hypotheses, reduce «shadow» functions, automate processes, and create an up-to-date management model with minimal costs. The technique demonstrates a high potential for overcoming modern industrial challenges, such as increasing digitalization, adapting to changing market conditions and staff shortages, which makes this technique particularly relevant for Russian industrial companies.

References:

 1. Behrens J. Agile Konzepte в Prozessmanagement FH Vorarlberg, 2022. 114 с.

2. Ageev A.I. The role of sanctions, conflicts and special operations: reflections on the future. Part 2. Scientific Bulletin of the Russian Military-industrial Complex. 2024;1:33-42.

3. Abramov V.I. Technological sovereignty: basic principles and strategic goals / V. I. Abramov, A.V. Gavrilyuk, A.V. Putilov. Management of economics, systems, processes: Collection of articles of the VIII International Scientific and Practical Conference, Penza, October 14-15, 2024.  Penza: Penza State Agrarian University, 2024. pp. 11-18.

4. Plotnikov V.A. Anti-crisis management of enterprises in the context of political and economic turbulence / V. A. Plotnikov, N. A. Ushakov. The Russian economy in the context of structural transformation: Proceedings of the II All-Russian Scientific and Practical Conference, Novokuznetsk, May 28, 2024. Moscow: LLC «Topicality.RF», 2024. pp. 130-135.

5. Churkin D.A., Abramov V.I. Subject-oriented business process management as a tool for innovative enterprise development. Economic strategies. 2024;4(196): 128-135.

6. Weber S. Institutes of decision-making / S. Weber, D.V. Davydov, A.V. Savvateev. Questions of economics. 2017;6:45-57. DOI 10.32609/0042-8736-2017-6-45-57.

7. Fleischmann A., Schmidt W. S-BPM as a new impetus in Business Process Management: A survey. Business Informatics. 2015;2 (32):7-19.

8. Abramov V.I. The role of effective communications and collective intelligence in the digital transformation of a company / V. I. Abramov, D. A. Churkin. Bulletin of the University. 2024;4:50-60. DOI 10.26425/1816-4277-2024-4-50-60.

9. Lepsky V.E. Reflexivity in the management of social systems (philosophical and methodological analysis). Philosophy of Science and Technology. 2021; 26(2):127-147. DOI 10.21146/2413-9084-2021-26-2-127-147.

10. Wittikh V.A. The evolution of ideas for organizing management processes in society: from cybernetics to evergetics. Management issues in the development of the primary health care system: topical issues of hematology: collection of scientific papers of the scientific and practical conference, Samara, April 04, 2017.  Samara: Samara State Medical University, 2017. pp. 56-62.