APPLICATION OF ARTIFICIAL INTELLIGENCE IN CRISIS MANAGEMENT OF AN ORGANIZATION

In recent years, there has been active digitalization of various industries. One of the promising end-to-end technologies is artificial intelligence. The introduction of tools based on its application helps to optimize business processes and management, including anti-crisis management, which is especially sensitive to the speed and objectivity of decisions made. This is due to the dynamism of the external environment and the inefficiency of applying methods that made it possible to diagnose and resolve crises earlier in the new conditions. At the same time, there is a lag in the scientific and methodological base from the demands of practical activities. The article provides an overview of the opportunities provided by the use of artificial intelligence technologies for solving anti-crisis management problems (analysis of the external environment, internal potential, competitive advantages, strategic restructuring and a posteriori analysis of the causes of crisis situations). Special attention is paid to assessing the readiness of Russian organizations to implement the relevant tools. As a result of the study, the scale of AI use at the current stage of digital transformation was determined, as well as the prospects for its further development at various levels of management. Conclusions are made about the positive effects (increased speed, quality and objectivity of decisions taken, reduced costs of crisis management) of the use of new technologies, provided that they are comprehensively implemented taking into account risks.

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Publication Details

Journal
Actual directions of scientific researches of the XXI century theory and practice
Published
2024-12-28
DOI
https://doi.org/10.34220/2308-8877-2024-12-4-198-209
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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article

APPLICATION OF ARTIFICIAL INTELLIGENCE IN CRISIS MANAGEMENT OF AN ORGANIZATION

D. Muhortov
1 citations
Actual directions of scientific researches of the XXI century theory and practice
Big Data and Business Intelligence
0.53
article

APPLICATION OF ARTIFICIAL INTELLIGENCE IN CRISIS MANAGEMENT OF AN ORGANIZATION

D. Muhortov
article en
1 citations

Abstract

In recent years, there has been active digitalization of various industries. One of the promising end-to-end technologies is artificial intelligence. The introduction of tools based on its application helps to optimize business processes and management, including anti-crisis management, which is especially sensitive to the speed and objectivity of decisions made. This is due to the dynamism of the external environment and the inefficiency of applying methods that made it possible to diagnose and resolve crises earlier in the new conditions. At the same time, there is a lag in the scientific and methodological base from the demands of practical activities. The article provides an overview of the opportunities provided by the use of artificial intelligence technologies for solving anti-crisis management problems (analysis of the external environment, internal potential, competitive advantages, strategic restructuring and a posteriori analysis of the causes of crisis situations). Special attention is paid to assessing the readiness of Russian organizations to implement the relevant tools. As a result of the study, the scale of AI use at the current stage of digital transformation was determined, as well as the prospects for its further development at various levels of management. Conclusions are made about the positive effects (increased speed, quality and objectivity of decisions taken, reduced costs of crisis management) of the use of new technologies, provided that they are comprehensively implemented taking into account risks.

Actual directions of scientific researches of the XXI century theory and practiceVol. 12(4)
Voronezh State University of Forestry and Technologies (RU)
Partnerships for the goals
Openalex Percentile: Top 23%
Big Data and Business Intelligence
0.53
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