MODELING DECISION-MAKING UNDER RISK AND UNCERTAINTY

Irina Kiseleva, Aziza Tramova, Elena Chernikova, Elena Karakaeva, Tanzilya Sozaeva

Resumo


Objective: The purpose of the article was to analyze existing decision-making models under risk, as effective decision-making is critically important for achieving sustainable development in organizations and government structures in today’s unstable world.

Methods: The authors examine modeling and risk management methods in corporate strategy development. Given the high level of competition in modern business, making well-informed decisions requires a comprehensive assessment of the situation and a reliable forecast of future development.

Results: The study analyzed quantitative decision-making methods in the implementation of industrial company strategies. The findings identify the most relevant models and methods used for decision-making under uncertainty and risk.

Conclusion: It is concluded that decision-making theories under risk remain relevant, though their applicability depends on the context. While mathematically rigid models provide a strong theoretical foundation, flexible approaches that account for psychological factors offer greater practical value. Future advancements should focus on integrating these theories with technological and interdisciplinary research to enhance their predictive accuracy and real-world applicability.


Palavras-chave


Models; Decision-making; Strategy; Risk; Company

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Referências


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DOI: http://dx.doi.org/10.26668/revistajur.2316-753X.v3i79.7640

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