The Methodological Approach to Assessing the Effectiveness of Military-Economic Forecasting under Conditions of Instability in the Military-Political Environment
Abstract
Purpose. To develop a methodological approach to assessing the effectiveness of military-economic forecasting that accounts for instability in the military-political environment and improves the justification of managerial decisions in the defence sector.
Method. The study employs theoretical methods of analysis, synthesis, abstraction, and systematization; statistical and comparative analysis; expert assessment; the weighted sum method; functional modelling; integral assessment; and a scenario-based approach.
Findings. A methodological approach has been developed that involves constructing an integral index of instability in the military-political environment and establishing functional relationships between instability, the state’s resource capabilities, and military needs. An integral indicator of forecasting effectiveness is proposed, combining measures of accuracy, adaptability, variability, and resource adequacy.
Theoretical implications. The theoretical foundations of military-economic forecasting are advanced by integrating forecasting theory, systems analysis, and decision-making theory under conditions of uncertainty.
Practical implications. The proposed approach can be applied by military command and control bodies to assess forecast quality, substantiate resource allocation, and support managerial decision-making in defence planning.
Future research. Further research should focus on improving methods for formalizing functional relationships, expanding the information base, and developing software tools to automate military-economic forecasting and the assessment of its effectiveness.
Paper type. Theoretical article.
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References
Armstrong, J. S. (Ed.). (2001). Principles of forecasting: A handbook for researchers and practitioners. Springer. https://doi.org/10.1007/978-0-306-47630-3
Bertalanffy, L. von. (1973). General system theory: Foundations, development, applications. George Braziller.
Bykova, A., & Halieiev, O. (2024). Teoretychni aspekty makroekonomichnoho prohnozuvannia: Vitchyznianyi dosvid [Theoretical aspects of macroeconomic forecasting: Domestic experience]. Ekonomika ta suspilstvo, 62. https://doi.org/10.32782/2524-0072/2024-62-58
Clements, M. P., & Hendry, D. F. (1998). Forecasting economic time series. Cambridge University Press. https://doi.org/10.1017/CBO9780511599286
Chernyshova, I., Marko, I., Busel, V., Marko, Ye., & Rakhimov, V. (2026). Voienno-ekonomichne prohnozuvannia v systemi natsionalnoi bezpeky Ukrainy: Rol, mistse ta vplyv na zabezpechennia oboronozdatnosti derzhavy [Military-economic forecasting in the national security system of Ukraine: Role, place, and impact on ensuring the defence capability of the state]. Military Science, 4(1), 216–226. https://doi.org/10.62524/msj.2026.4.1.16
Chernyshova, I., & Busel, V. (2025). The role of methodological approaches in assessing the effectiveness of military-economic forecasting. Social Development and Security, 15(6), 429–439. https://doi.org/10.33445/sds.2025.15.6.33
Goodwin, P., & Wright, G. (2014). Decision analysis for management judgment (5th ed.). Wiley.
Granger, C. W. J. (1981). Some properties of time series data and their use in econometric model specification. Journal of Econometrics, 16(1), 121–130. https://doi.org/10.1016/0304-4076(81)90079-8
Ivanova, T. V. (2015). Osoblyvosti prohnozuvannia makroekonomichnykh pokaznykiv krainy z pozytsii zabezpechennia staloho rozvytku [Peculiarities of forecasting the country’s macroeconomic indicators from the standpoint of ensuring sustainable development]. Ekonomichnyi visnyk NTUU “KPI”, 12. https://doi.org/10.20535/2307-5651.12.2015.44233
Kondrat, I. Yu. (2000). Klasyfikatsiia metodiv prohnozuvannia rozvytku ekonomichnoi diialnosti [Classification of methods for forecasting the development of economic activity]. Visnyk Natsionalnoho universytetu “Lvivska politekhnika”. Menedzhment ta pidpryiemnytstvo v Ukraini: Etapy stanovlennia i problemy rozvytku, 405, 297–303.
Kondrat, I. Yu. (2001). Vybir metodu v protsesi prohnozuvannia ekonomichnoho rozvytku pidpryiemstva [Selection of a method in the process of forecasting the economic development of an enterprise]. Visnyk Natsionalnoho universytetu “Lvivska politekhnika”.
Knight, F. H. (1921). Risk, uncertainty and profit. Houghton Mifflin Company.
Lucas, R. E. (1972). Expectations and the neutrality of money. Journal of Economic Theory, 4(2), 103–124. https://doi.org/10.1016/0022-0531(72)90142-1
Makridakis, S., Wheelwright, S. C., & Hyndman, R. J. (1998). Forecasting: Methods and applications (3rd ed.). John Wiley & Sons.
Matviienko, V. Ya. (2000). Prohnostyka [Forecasting]. Ukrainski propilei.
Mintzberg, H. (1994). The rise and fall of strategic planning: Reconceiving roles for planning, plans, planners. Free Press.
Morgenstern, O. (1972). Thirteen critical points in contemporary economic theory: An interpretation. Journal of Economic Literature, 10(4), 1163–1189.
NATO. (2020). NATO 2030: United for a new era: Analysis and recommendations of the Reflection Group appointed by the NATO Secretary General.
Neumann, J. von, & Morgenstern, O. (2007). Theory of games and economic behavior (60th anniversary commemorative ed.). Princeton University Press.
Organisation for Economic Co-operation and Development. (2023). Strategic foresight for better policies. OECD Publishing. https://doi.org/10.1787/3c26180f-en
Polovenko, V. M. (2025). Otsiniuvannia rozvytku voienno-ekonomichnoho potentsialu protyvnyka dlia obgruntuvannia zakhodiv stratehichnoho (oboronnoho) planuvannia: Metodychnyi pidkhid [Assessment of the development of the enemy’s military-economic potential to substantiate strategic (defence) planning measures: A methodological approach]. Zbirnyk naukovykh prats Tsentru voienno-stratehichnykh doslidzhen, 2(85), 6–16. https://doi.org/10.33099/2304-2745/2025-2-85/6-16
Saaty, T. L. (1980). The analytic hierarchy process. McGraw-Hill.
Schoemaker, P. J. H. (1995). Scenario planning: A tool for strategic thinking. Sloan Management Review, 36(2), 25–40.
Stockholm International Peace Research Institute. (2024). SIPRI yearbook 2024: Armaments, disarmament and international security. Oxford University Press. https://doi.org/10.1093/sipri/9780198930570.001.0001.
Taleb, N. N. (2020). Statistical consequences of fat tails: Real world preasymptotics, epistemology, and applications. STEM Academic Press.
Tetlock, P. E., & Gardner, D. (2016). Superforecasting: The art and science of prediction. Broadway Books.
United Nations Development Programme. (2022). 2022 special report on human security: New threats to human security in the Anthropocene: Demanding greater solidarity.
General Staff of the Armed Forces of Ukraine. (2020). Doktryna “Oboronni resursy” [Doctrine “Defence resources”].
General Staff of the Armed Forces of Ukraine. (2025). Doktryna upravlinnia oboronnymy resursamy [Doctrine of defence resource management].
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