CHARACTERISTICS AND POTENTIAL OF ECONOMIC AND MATHEMATICAL MODELING IN CRISIS MANAGEMENT OF INTELLECTUAL CAPITAL
DOI:
https://doi.org/10.30888/2709-2267.2026-35-00-016Keywords:
intellectual capital, crisis management, economic and mathematical modeling, hybrid models, fuzzy logic, system dynamics, real options, machine learning, digital twinsAbstract
The paper explores the capabilities of economic and mathematical modeling as an effective instrument for anti-crisis management of intellectual capital in an environment of continuous macroeconomic turbulence and complex systemic crises. It is demonstrateReferences
Naumenko, M. (2024). Models of business knowledge in artificial intelligence systems for an effective competitive enterprise. International scientific journal "Internauka". Series: "Economic Sciences". № 6. DOI: https://doi.org/10.25313/2520-2294-2024-6-10010 [In Ukrainian].
Ostapenko T., Onopriienko D., Hrashchenko I., Palyvoda O., Krasniuk S., Danilova E. (2022) Research of impact of nanoeconomics on the national economic system development. Innovative development of national economies: collective monograph. – Kharkiv: PC TECHNOLOGY CENTER, 2022. – pp. 46-70.
Naumenko, М. (2024). Methodology of determining factors of activity efficiency and competitive position of the enterprise on the market in crisis conditions. Scientific innovations and advanced technologies, № 7(35) (2024). DOI: https://doi.org/10.52058/2786-5274-2024-7(35)-648-665 [in Ukrainian].
Karpenko, Oksana & Kravchenko, Olha & Palyvoda, Olena & Semenova, Svitlana. (2025). Evaluating the effectiveness of innovation implementation at transport enterprises under conditions of uncertainty. Academy Review, #2. 75-88. 10.32342/3041-2137-2025-2-63-5.
Palyvoda, Olena & Semenchuk, Tetiana & Rachkovskyy, Eduard. (2024). Modelling growth strategies of transport enterprises in the conditions of context uncertainty. Baltic Journal of Economic Studies. 10. 255-267. 10.30525/2256-0742/2024-10-3-255-267.
Nevmerzhytska, N. Buhas (2022). Opportunities, threats and risks of implementation the innovative business management technologies in the post-pandemic period COVID-19. WSEAS Transactions on Business and Economics. Volume 19, pp. 1215–1229.
Tsalko T. R., Nevmerzhytska S.M. (2023) Risk assessment in innovative activity. Actual problems in economics, finance and management: materials of the International Scientific and Practical Conference. East European Center for Scientific Research (Odesa, 25 october 2023). Research Europe, 2023. pp. 92-94 https://researcheurope.org/product/book-31/ [in Ukrainian].
Nevmerzhytska S. M. (2018). Formation of a strategy for the innovative development of enterprises in conditions of uncertainty. Scientific Bulletin of the Kherson State University. Series: Economic Sciences. 2018. Vol. 32. pp. 99-103. URL: https://ej.journal.kspu.edu/index.php/ej/article/view/422/418.
Mykytenko V.V., Hryshchenko I.S. (2008). Adaptive management system of innovative processes at enterprises. Problems of science, (4), pp. 32-37.
Hrashchenko I.S., Khmurova V. V. (2016). Innovative policy as a tool for organizational change. Economic development: theory, methodology, management. Materials of the 4th International Scientific and Practical Conference]. Budapest-Prague-Kyiv, 28-30 November 2016. 386, p. 361-369. [In Ukrainian].
Krasnyuk, M. T., Herashchenko, I. S. and Kustarovskiy, O. D. (2018). Improvement of the economic and mathematical modeling of the results of implementation of individual elements of the adaptive anti-crisis policy of the transport industry companies of Ukraine. Naukovyi visnyk Uzhhorodskoho universytetu Seriia “Ekonomika”, vol. 1 (51), pp. 205–211.
Maxim Krasnyuk, Yurii Kulynych, Iryna Hrashchenko, Svitlana Goncharenko, Svitlana Krasniuk (2022). Economic and mathematical modeling of an oil and gas production company as an integrated complex specific system. Science and technology today, 2022. 399-413. https://doi.org/10.52058/2786-6025-2022-13(13)-399-414
Krasnyuk M.T., Tsalko T.R., Nevmerzhytska S.M., Kulynych Yu.M. (2024). Economic and mathematical indicators and models in the project management of an oil and gas company. Science and technology today, March 2024. pp. 346-366. DOI: https://doi.org/10.52058/2786-6025-2024-3(31)-346-366.
Krasnyuk, M. (2014). Hibrydyzatsiia intelektualnykh metodiv analizu biznesovykh danykh (rezhym vyiavlennia anomalii) yak skfladovyi instrument korporatyvnoho audytu [Hybridization of intelligent methods of business data analysis (anomaly detection mode) as a standard tool of corporate audit]. Stan i perspektyvy rozvytku oblikovo-informatsiinoi systemy v Ukraini - Stan i perspektyvy rozvytku oblikovo-informatsiinoi systemy v Ukraini : materialy III Mizhnar. nauk.-prakt. konf. [m. Ternopil, 10-11 zhovt. 2014 r.] - The state and prospects of the development of the accounting and information system in Ukraine: materials of the III International science and practice conf. [m. Ternopil, October 10-11. 2014]. TNEU, 2014. pp. 211-212 (in Ukrainian).
Derbentsev, V. D., B. O. Tishkov, O. D. Sharapov (2013). Systematic methodology for studying the dynamics of the current information economy in the minds of increasing instability. Modeling and information systems in economics. – 2013. – Vol. 89, (pp. 47-62) [In Ukrainian].
Derbentsev, V. D., Serdiuk, O. A., Soloviov, V. M., & Sharapov, O. D. (2010). Synergistic and econophysical methods of studying dynamic and structural characteristics of economic systems. Cherkasy: Brama-Ukraine. - 2010 [in Ukrainian].
Derbentsev, V. D., V. M. Soloviov, and O. V. Serdiuk (2005) Precursors of critical phenomena in complex economic systems. Modeling of nonlinear dynamics of economic systems. - Donetsk: DonNU, 1 (2005), (pp. 5-13) [in Ukrainian].
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