IMPROVING FINANCIAL PLANNING AS A WAY TO INCREASE THE ECONOMIC RESILIENCE OF AN ENTERPRISE

Keywords: financial planning, strategic plan, budget, scenario analysis, rolling forecast, dynamic financial plan, artificial intelligence (AI), economic resilience of an enterprise

Abstract

The article is devoted to the study of ways to improve financial planning in order to increase the economic resilience of the enterprise. This topic is relevant due to the growing negative impact of uncertainty on financial planning in Ukrainian companies. Based on the analysis of scientific sources, shortcomings in the financial planning system at Ukrainian enterprises are identified. A systematic approach to financial planning at enterprises is proposed, in particular through the analysis of the external and internal environment and the further development of a long-term, medium-term and annual financial plan, and the principles and algorithm for developing these plans are also given. Special attention is paid to the methods and stages of developing a company's budget, as well as measures aimed at increasing the efficiency of the budgeting process. The necessity of identifying and controlling key assumptions underlying all financial plans is emphasized. A method for reducing the negative impact of uncertainty on the financial plans of an enterprise is investigated, in particular through scenario analysis and the use of weighted average indicators. The possibilities of adjusting financial plans based on the actual results obtained in rapidly changing business conditions are studied. The “rolling forecast” method is proposed, which extends the forecasting horizon and allows earlier identification of trends and the development of managerial decisions. The essence of the “dynamic financial plan” method is revealed, the advantage of which is the ability to adjust the financial plan and make changes to the company’s policy with the necessary periodicity or under the influence of significant events. The possibilities of using artificial intelligence to improve financial planning at enterprises are analyzed, in particular in such processes as forecasting, budgeting, automation of accounting and auditing, strategic planning and scenario analysis, financial planning and analysis, risk management. The practical value of the article lies in the possibility of applying the identified principles and methods of improving financial planning by Ukrainian enterprises to increase their economic sustainability.

References

Баюра Д.О., Кучин А.Б. Вплив зовнішніх факторів на вдосконалення механізму фінансового планування підприємств в Україні. Вісник Київського національного університету імені Тараса Шевченка. Економіка. 2025. № 1 (226). С. 13-22. DOI: https://doi.org/10.17721/1728-2667.2025/226-1/2.

Результати дослідження стану бізнесу в Україні у грудні 2025 року. URL: https://business.diia.gov.ua/analytics/research/rezultaty-doslidzhennia-stanu-biznesu-v-ukraini-u-hrudni-2025-roku (дата звернення: 31.03.2026).

Дорошенко О.О., Сорокатий В.М. Фінансове планування на підприємстві як метод мінімізації фінансових ризиків. Ефективна економіка. 2021. № 10. DOI: https://doi.org/10.32702/2307-2105-2021.10.95.

Заборовець О.П. Зарубіжний досвід вдосконалення фінансового планування підприємства. Сучасні проблеми економіки і підприємництво. 2016. № 17. С. 200-205. URL: https://ela.kpi.ua/handle/123456789/40876 (дата звернення: 31.03.2026).

Непочатенко О.О., Мельничук Н.Ю. Фінанси підприємств: підручник. Київ : «Центр учбової літератури», 2013. 504 с.

Шульга О.А. Напрями удосконалення організації фінансового планування діяльності підприємства. Підприємництво та інновації. 2023. № 26. С. 58-62. DOI: https://doi.org/10.32782/2415-3583/26.9.

Alexander J. Financial planning & analysis and performance management. Hoboken, New Jersey : John Wiley & Sons, Inc., 2018. 612 p.

Bessa G., Barbosa B. Integrating artificial intelligence into scenario analysis: a validated framework for strategic planning under economic uncertainty. Global Economics Research. 2025. № 1(2). DOI: https://doi.org/10.1016/j.ecores.2025.100007.

Chen, Y., Yan, S., Jin, Y., Li, J., & Jin, X. (2025). Generative Artificial Intelligence in Finance: A Systematic Literature Review and a Research Agenda. Digital Technologies Research and Applications. 2025. № 4(2). P. 14–32. DOI: https://doi.org/10.54963/dtra.v4i2.1191.

Gao, H., Kou, G., Liang, H. et al. Machine learning in business and finance: a literature review and research opportunities. Financial Innovation. 2024. № 10. P. 86. DOI: https://doi.org/10.1186/s40854-024-00629-z.

Popa, F. G., & Muresan, V. (2025). Artificial Intelligence in Finance: From Market Prediction to Macroeconomic and Firm-Level Forecasting. AI. 2025. № 6(11). P. 295. DOI: https://doi.org/10.3390/ai6110295.

Tennent J. Guide to financial management. Second edition. Profile Books Ltd, 2013.

Vancsura, L., Tatay, T., & Bareith, T. Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps. Forecasting. 2025. № 7(3). P. 36. DOI: https://doi.org/10.3390/forecast7030036.

Baiura, D.O., Kuchyn, A.B. (2025). Vplyv zovnishnikh faktoriv na vdoskonalennia mekhanizmu finansovoho planuvannia pidpryiemstv v Ukraini [The influence of external factors on the improvement of the financial planning mechanism of enterprises in Ukraine]. Visnyk Kyivskoho natsionalnoho universytetu imeni Tarasa Shevchenka. Ekonomika – Bulletin of Taras Shevchenko National University of Kyiv. Economics, vol. 1 (226), pp. 13-22. DOI: https://doi.org/10.17721/1728-2667.2025/226-1/2.

Rezultaty doslidzhennia stanu biznesu v Ukraini u hrudni 2025 roku [Results of a study of the state of business in Ukraine in December 2025.]. Available at: https://business.diia.gov.ua/analytics/research/rezultaty-doslidzhennia-stanu-biznesu-v-ukraini-u-hrudni-2025-roku (accessed March 31, 2026).

Doroshenko O.O., Sorokatyi V.M. (2021). Finansove planuvannia na pidpryiemstvi yak metod minimizatsii finansovykh ryzykiv [Financial planning at the enterprise as a method of minimizing financial risks]. Efektyvna ekonomika – Efficient economy, vol. 10. DOI: https://doi.org/10.32702/2307-2105-2021.10.95.

Zaborovets O.P. (2016). Zarubizhnyi dosvid vdoskonalennia finansovoho planuvannia pidpryiemstva [Foreign experience in improving financial planning of an enterprise.]. Suchasni problemy ekonomiky i pidpryiemnytstvo – Modern problems of economics and entrepreneurship, vol. 17, pp. 200-205. Available at: https://ela.kpi.ua/handle/123456789/40876 (accessed March 31, 2026).

Nepochatenko O.O., Melnychuk N.Iu. (2013). Finansy pidpryiemstv: pidruchnyk [Corporate Finance: Textbook]. Kyiv: «Tsentr uchbovoi literatury», 504 p. (in Ukrainian)

Shulha, O.A. (2023). Napriamy udoskonalennia orhanizatsii finansovoho planuvannia diialnosti pidpryiemstva [Directions for improving the organization of financial planning of an enterprise]. Pidpryiemnytstvo ta innovatsii – Entrepreneurship and Innovation, vol. 26, pp. 58-62. DOI: https://doi.org/10.32782/2415-3583/26.9.

Alexander J. (2018). Financial planning & analysis and performance management. Hoboken, New Jersey: John Wiley & Sons, Inc., 612 p.

Bessa G., Barbosa B. (2025). Integrating artificial intelligence into scenario analysis: a validated framework for strategic planning under economic uncertainty. Global Economics Research, vol. 1(2). DOI: https://doi.org/10.1016/j.ecores.2025.100007.

Chen, Y., Yan, S., Jin, Y., Li, J., & Jin, X. (2025). Generative Artificial Intelligence in Finance: A Systematic Literature Review and a Research Agenda. Digital Technologies Research and Applications, vol. 4(2), pp. 14–32. DOI: https://doi.org/10.54963/dtra.v4i2.1191.

Gao, H., Kou, G., Liang, H. et al. (2024). Machine learning in business and finance: a literature review and research opportunities. Financial Innovation, vol. 10, p. 86. DOI: https://doi.org/10.1186/s40854-024-00629-z.

Popa, F. G., & Muresan, V. (2025). Artificial Intelligence in Finance: From Market Prediction to Macroeconomic and Firm-Level Forecasting. AI, vol. 6(11), p. 295. DOI: https://doi.org/10.3390/ai6110295.

Tennent J. (2013). Guide to financial management. Second edition. Profile Books Ltd.

Vancsura, L., Tatay, T., & Bareith, T. (2025). Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps. Forecasting, vol. 7(3), p. 36. DOI: https://doi.org/10.3390/forecast7030036

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Published
2026-04-24
How to Cite
Neskorodko, O. (2026). IMPROVING FINANCIAL PLANNING AS A WAY TO INCREASE THE ECONOMIC RESILIENCE OF AN ENTERPRISE. Economy and Society, (85). https://doi.org/10.32782/2524-0072/2026-85-28