A systems approach to management in the era of artificial intelligence

DOI: 10.33917/es-2.206.2026.62-67

The article examines the problems of using a systems approach in modern management. Despite its recognized value, its widespread use is constrained by a key problem — the difficulty of developing systems thinking in managers. The authors note that only a small part of the developed strategies is implemented in practice, which is directly related to the deficit of this type of thinking. As a solution, it is proposed to use artificial intelligence (AI) tools that do not replace, but significantly enhance human cognitive abilities. The article contains a specific proposal for creating an ecosystem of AI assistants consisting of five interconnected modules. It is concluded that AI acts as the very “lever” that allows us to overcome the elitism of the systems approach and realize its potential in mass management practice.

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Challenges to the economic security of enterprises in the context of digital transformation and the transition from static protection to dynamic adaptability. Part 2

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.

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

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Challenges to the economic security of enterprises in the context of digital transformation and the transition from static protection to dynamic adaptability. Part 1

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.

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