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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Forecasting the performance of credit institutions based on simulation modeling

DOI: 10.33917/mic-3.98.2021.5-14

The purpose of this work is to prepare proposals for the use of simulation methods for solving the problems of planning and forecasting the financial results of credit institutions. The article addresses the following issues: 1) an analysis of the activities of credit institutions of the Russian Federation was carried out, based on the results of which “pain points” were identified – unresolved problems, including the management of overdue loan debt; 2) the feasibility of using simulation modeling methods for the development of scenarios for the development of commercial banks was justified; 3) an approach based on simulation modeling was proposed to determine the impact of the amount of overdue debt on the indicators and economic standards of activity.