Strategic diagnostics in the system of controlling the financial results of the enterprise
/ 0
- Details
- Category: Content №2 2022
- Last Updated on 30 April 2022
- Published on 30 November -0001
- Hits: 3908
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
References:
1. Reta, M., Druhova, E., & Lisnichuk, O. (2018). Methods for diagnosing the effectiveness of the enterprises financial strategy in the strategy controlling system. Baltic Journal of Economic Studies, 4(3), 235-243. https://doi.org/10.30525/2256-0742/2018-4-3-235-243.
2. Konsek-Ciechoska, J. (2017). Operational and strategic controlling tools in microenterprises case study. Management Systems in Production Engineering, 25(4), 278-282. https://doi.org/10.1515/mspe-2017-0041.
3. Kaplina, . (2021). Controlling in the system of effective management. Efficient economy, 2. https://doi.org/10.32702/2307-2105-2021.2.70.
4. Berdar, M. (2017). Financial controlling as constituent of system management by steady development of enterprise. Investments: practice and experience, 18, 33-37. Retrieved from http://www.investplan.com.ua/pdf/18_2017/8.pdf.
5. Sukhanova, A.V. (2019). Controlling in the system of administrative management solutions. Market infrastructure, 32, 225-230. Retrieved from http://www.market-infr.od.ua/journals/2019/32_2019_ukr/35.pdf.
6. Savchuk, D.G. (2018). The system of anti-crisis financial control: theoretical basis. Economy and society, 18, 811-820. https://doi.org/10.32782/2524-0072/2018-18-113.
7. Vasechko, L. (2018). Anti-crisis management as an instrument for prevention of the bankruptcy of the enterprise. Efektyvna ekonomika, 8. Retrieved from http://www.economy.nayka.com.ua/?op=1&z=6484.
8. Cherevko, O., Nazarenko, S., Zachosova, N., & Nosan, N. (2019). Financial and economic security system strategic management as an independent direction of management. SHS Web of Conferences, 65, 03001. https://doi.org/10.1051/shsconf/20196503001.
9. Lemishovskij, B.I. (2017). Controlling in management of machine-building enterprise: elements of coordination. Scientific Bulletin of Uzhhorod National University, 11, 94-97.
10. Makarenko, T.Yu. (2017). The Conception of the Value-Oriented Controlling Based on the Criterion of Economic Value Added (EVA). Business Inform, 3, 225-230.
11. Tarasiuk, G., Kovalchuk, V., & Sotnyk, A. (2020). Complex forecasting in the system of strategic diagnostics of enterprises potential. Financial and Credit Activity: Problems of Theory and Practice, 2(33), 358-366. https://doi.org/10.18371/fcaptp.v2i33.207089.
12. Klychova, G., Zaugarova, E., Zakirova, A., Dyatlova, A., & Gimadiev, I. (2021). Control and analytical aspects of the management of financial results of enterprises. Web of Conferences INTERAGROMASH-2021, 273, 10039. https://doi.org/10.1051/e3sconf/202127310039.
13. Shemayeva, L., Mihus, I., Shemayev, V., Shemayev, V., & Melnyk, L. (2020). Application of the model of cross-optimization of financial and material flows in the mechanism of provision of financial security. Financial and credit activity: problems of theory and practice, 2(33), 400-410. https://doi.org/10.18371/fcaptp.v2i33.207078.
14. Akimova, L., Osadcha, O., & Akimov, O. (2018). Improving accounting management via benchmarking technology. Financial and Credit Activity-Problems of Theory and Practice, 1(24), 64-70. Retrieved from http://nbuv.gov.ua/UJRN/Fkd_2018_1_9.
15. Levytska, S.O., Akimova, L.M., Zaiachkivska, O.V., Karpa,M.I., & Gupta, S. (2020). Modern analytical instruments for controlling the enterprise financial performance. Collection of scientific papers: Financial and Credit Activity-Problems of Theory and Practice, 2(33), 314-323. https://doi.org/10.18371/fcaptp.v2i33.206967.
16. Pavlova, O., Pavlov, K., Horal, L., Novosad, O., Korol, S., Perevozova, I., , & Popadynets, N. (2021). Integral estimation of the competitiveness level of the western Ukrainian gas distribution companies. Accounting, 7(5), 1073-1084. https://doi.org/10.5267/j.ac.2021.3.001.
17. Bazaluk, O., Kotenko, S., & Nitsenko, V. (2021). Entropy as an Objective Function of Optimization Multimodal Transportations. Entropy, 23(8), 946. https://doi.org/10.3390/e23080946.
18. Nitsenko, V., Kotenko, S., Hanzhurenko, I., & Ingram, K.L. (2020). Determination of Weight Coefficients for Stochastic and Fuzzy Risks for Multimodal Transportation. Journal of Physics: Conference Series, 1529, 032007. https://doi.org/10.1088/1742-6596/1529/3/032007.
19. Kotenko, S., Nitsenko, V., Hanzhurenko, I., & Havrysh, V. (2020). The Mathematical Modeling Stages of Combining the Carriage of Goods for Indefinite, Fuzzy and Stochastic Parameters. International Journal of integrated engineering, 12(7(20)), 173-180. https://doi.org/10.30880/ijie.2020.12.07.019.
20. Nazarova, K., Mysiuk, V., Gordopolov, V., Koval, V., & Danileviien, I. (2020). Preventional audit: implementation of SOX control to prevent fraud. Business: Theory and Practice, 21(1), 293-301. https://doi.org/10.3846/btp.2020.11647.
Newer news items:
- Application of logistic concept for the organization of small academic groups training in higher education institutions - 30/04/2022 13:42
- Transformation of the metallurgical industry of Ukraine from the concept “Industry 4.0” to capitalism of stakeholder - 30/04/2022 13:42
- The cost of formation and problems of effective realization of labor potential in Ukraine - 30/04/2022 13:42
Older news items:
- Scientific and educational consortium as institutional projection of the innovative professional training - 30/04/2022 13:42
- Multi-criteria evaluation of professional qualities of railway dispatching personnel using computer simulations - 30/04/2022 13:42
- Management of structural changes in the system of economic formation of sustainable development - 30/04/2022 13:42
- Information and communication technologies as a tool and incentive for strategic decision making - 30/04/2022 13:42
- Mathematical 3D-modeling in the formation process of the overhauled surfaces in the repair industry - 30/04/2022 13:42
- Simulation of cargo delivery by road carrier: case study of the transportation company - 30/04/2022 13:42
- Non-relational approach to developing knowledge bases of expert system prototype - 30/04/2022 13:42
- State policy of Ukraine in the sphere of environmental protection in the context of European integration - 30/04/2022 13:42
- The impact of financial development on accelerating the environmental degradation in Bangladesh - 30/04/2022 13:42
- Research into the properties of poured asphalt from electric furnace slag aggregate - 30/04/2022 13:42
Archive