Strategic diagnostics in the system of controlling the financial results of the enterprise
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- Category: Content №2 2022
- Last Updated on 30 April 2022
- Published on 30 November -0001
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Authors:
H.Silakova, orcid.org/0000-0002-8083-5600, State University of Trade and Economics, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.Vialets, orcid.org/0000-0003-0708-2638, Institute of Post-Diploma Training of National University of Food Technologies, Kyiv, Ukraine; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
T.Batrakova, orcid.org/0000-0002-5710-9416, Zaporizhzhia National University, Zaporizhzhia, Ukraine; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.Mykhailenko, orcid.org/0000-0002-8552-5601, National University of Food Technologies, Kyiv, Ukraine; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.Ovdii, orcid.org/0000-0003-1531-3352, National University of Food Technologies, Kyiv, Ukraine; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2022, (2): 154 - 158
https://doi.org/10.33271/nvngu/2022-2/154
Abstract:
Purpose. To create a mathematical model and approaches for the formation of optimal management actions on the basis of strategic diagnostics data and to use them to form an effective algorithm of strategic diagnostics in the system of controlling the financial results of the enterprise.
Methodology. General and special methods of cognition were used during the study. The scientific economic approach to the implementation of the method of scientific abstraction was used to substantiate the relevance of the topic, purpose and tasks of the study, analysis of the impact of the use of strategic controlling systems on the financial condition of the enterprise. The method of analysis and synthesis and the method of induction and deduction were used to develop an algorithm for strategic controlling of the financial activity of the enterprise. The method of economic modeling was used for a formalized description and strategic forecast of the effectiveness of the strategies selected according to the controlling data. The method of comparison was used to analyze the pace of financial results and forecast the results of the extractive industry and the development of quarries by region.
Findings. The mathematical model and approaches have been developed using the entropy method and the time series method for comparative analysis of variants of complex application of management solutions for the formation of optimal management actions based on strategic diagnostic data. An algorithm of strategic diagnostics in the system of controlling the financial results of the enterprise was created. The proposed vector criteria, their rate of change detected during the controlling, and their threshold values become an indicator that the current financial and production condition of the enterprise requires decisions to neutralize risks and improve the financial condition of the enterprise.
Originality. The proposed mathematical model and approaches were first used to analyze the directions of strategic diagnostics in the system of controlling the activities of the enterprise. For the first time, a system of vector criteria for determining the need for management decisions to improve the financial condition of the enterprise has been proposed. The algorithm of realization of strategic controlling of financial activity of the enterprise is introduced.
Practical value. The developed algorithm and mathematical apparatus can be used both for scientific purposes and in practical work by the management of enterprises of various industries. The effectiveness of the developed mathematical methods and the proposed algorithm is tested on forecasting the activities of mining enterprises and quarry development for Kyiv, Mykolaiv and Odesa regions of Ukraine.
Keywords: strategic diagnostics, controlling, financial results, mathematical model, prognostication
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