Перегляд за Автор "Roshchyna, Nadiia"

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    Features of the diagnostic process in the conditions of uncertainty
    (КПІ ім. Ігоря Сікорського, 2024) Shevchuk, Olena; Boiarynova, Kateryna; Roshchyna, Nadiia
    The article is devoted to the study of the peculiarities of the diagnostic process under conditions of uncertainty. Given that uncertainty is an integral part of the diagnostic process, the study is aimed at increasing the sustainability of economic decision-making in the face of constant economic dynamics. Thus, this article reflects the synthesis of two key areas in economic research – diagnostics and uncertainty – and aims to provide a structured approach to the methodology and tools necessary for an effective diagnostic process under conditions of uncertainty. The article focuses on the importance of economic diagnostics, emphasising that it goes beyond simple analysis and provides a deeper understanding of economic conditions and processes. This means that diagnostics includes not only the analysis of individual factors, but also their interaction and impact on the overall economic situation. By analysing the interconnection of various economic factors, the diagnostic process makes it possible to identify potential risks and opportunities for further development of the enterprise in advance. The authors also offer their own definition of the diagnostic process and detail the stages of economic diagnostics, which clearly reflect the difference between analysis and diagnosis. It is noted that in the context of instability and changes in the economy, it is important to have a clear action plan to effectively address economic problems and prevent crises in the early stages of development. Detailing the stages of diagnostics helps enterprises to respond quickly to changes and adapt their strategies to current conditions. The study considers the use of a mathematical model for diagnosing the financial condition of an enterprise under conditions of uncertainty, which is designed to systematically and accurately analyse the current situation, taking into account the dynamics and uncertainty in observations. This study aims not only to expand the theoretical understanding of diagnostic processes in the field of economics, but also to provide specific tools for practical application in the current economic environment.