INTELLIGENT INFORMATION TECHNOLOGIES AS KEY INNOVATION IN MANAGEMENT OF MODERN EDUCATION IN TIMES OF CRISIS
DOI:
https://doi.org/10.30890/2709-1783.2025-40-00-005Keywords:
innovative educational management, crisis management, intelligent information technologies, hybrid intelligent technologiesAbstract
The article examines intelligent information technologies (IIT) as a key tool for innovative and anti-crisis educational management. In conditions of global instability, IIT — combining artificial intelligence, machine learning, big data analytics, and exReferences
Mykytenko V.V., Hryshchenko I.S. (2008). Adaptive management system of innovative processes at enterprises. Problems of science, (4), pp. 32-37.
Palyvoda O. O., Seliverstova, O. S. (2017). Management of innovative development of industry in the countries of the European Union based on the formation of cluster infrastructure. Naukovyi visnyk Polissia. 1(1(9). 185–191 [In Ukrainian].
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].
Maksym Naumenko (2024). Modern concepts of innovation management at enterprises. Scientific innovations and advanced technologies No. 6(34) (2024). DOI: https://doi.org/10.52058/2786-5274-2024-6(34)-435-449
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.
Skitsko, V. (2009). Decision-making in conditions of uncertainty, conflict and the risk they entail. Modeling and information systems in economics: Collection of scientific papers. – К.: KNEU, 2009. – Vol. 79. – pp.52-61 [in Ukrainian].
S. Illiashenko, O. Bilovodska, T. Tsalko, O. Tomchuk, S. 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.
Liavynets , H. (2024). The impact of innovations on anti-crisis management in the hotel and restaurant business. Collection of Scientific Papers «SCIENTIA», (September 20, 2024; Bern, Switzerland), 27–35. https://previous.scientia.report/index.php/archive/article/view/2070
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].
Hrashchenko Iryna, Krasnyuk Maxim, Krasniuk Svitlana (2020). Iterative methodology of bankruptcy forecast of logistic companies in emerging markets, taking into account global/regional crisis. Collection of scientific works "Problems of the systemic approach in economics", vol. 1 (75) / 2020. – pp. 138-147. DOI:10.32782/2520-2200/2020-1-43
Krasnyuk M., Kulynych Yu., Hrashchenko I., Krasniuk S., Goncharenko S., Chernysh T. (2023). Innovative management information system in post-crisis economic conditions on emerging markets (on the example of the oil and gas industry). Moderní aspekty vědy – Modern aspects of science: svazek XXXVIІ mezinárodní kolektivní monografie. Česká republika: Mezinárodní Ekonomický Institut s.r.o. pp. 185–203.
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].
Krasnyuk, M., Kulynych, Y., Krasniuk, S., & Goncharenko, S. (2024). Design of innovative management information system. Grail of Science, 36, pp. 237-245.
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].
Naumenko, M. (2024). Effective application of classic machine learning algorithms when making adaptive management decisions. Scientific perspectives, 2024, 5 (47). https://doi.org/10.52058/2708-7530-2024-5(47)-855-875
Lyavinets G. M., Gubenya V. O., Lyulka O. M., Tkachuk Yu. M. (2024). Data Mining in Adaptive Management of Hotel and Restaurant Business. International Scientific Journal "Internauka". Series: "Economic Sciences", 2024. – # 11. https://doi.org/10.25313/2520-2294-2024-11-10404
Maksym Naumenko (2024). Regression analysis using shallow artificial neural networks in the management of an efficient and competitive enterprise. Věda a perspektivy, 7(38) (2024), pp. 17-32. https://doi.org/10.52058/2695-1592-2024-7(38)-17-32
Naumenko, М. (2024). Innovative methodology of financial modeling as a tool for improving the efficiency of management of a competitive enterprise. No. 6(48) (2024): Scientific perspectives. https://doi.org/10.52058/2708-7530-2024-6(48)-424-447
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].
Lyavinets G. M., Lyulka O. M., Tkachuk Yu. (2024). Intelligent, knowledge-oriented technologies in adaptive management of the hotel and restaurant business. Ecomomy and society, (67). https://doi.org/10.32782/2524-0072/2024-67-91
Tuhaienko V., Krasniuk S. (2022). Effective application of knowledge management in current crisis conditions. International scientific journal "Grail of Science". 2022. № 16. pp. 348-358.
Sytnyk V.F., Krasnyuk M.T. (2002). Polityka upravlinia znanniamy naftohazovoi kompanii yak kliuchovyi faktor pidvyshchennia yii efektyvnosti [Oil and gas company's knowledge management policy as a key factor in increasing its efficiency]. Problemy formuvannia rynkovoi ekonomiky - Problems of the formation of a market economy, К.:KNEU, vol. 10, 2002 [in Ukrainian].
Naumenko, М., & Hrashchenko, І. (2024). Modern artificial intelligence in anti-crisis management of competitive enterprises and companies. Grail of Science, (42), 120–137. DOI: https://doi.org/10.36074/grail-of-science.02.08.2024.015 [In Ukrainian].
Skitsko, V. (2025) Modern challenges and prospects for the use of artificial intelligence in education. Digital transformation in education: challenges and prospects: materials of the International Scientific and Practical Conference (April 15–16, 2025, Kyiv. Kyiv: Publishing House of Mykhailo Dragomanov UDU, 2025. – pp.306-308 [in Ukrainian].
Krasnyuk, M., Krasniuk, S. (2021) Association rules in finance management. ΛΌГOΣ , 2021. 9-10 https://doi.org/10.36074/logos-26.02.2021.v1.01 DOI: https://doi.org/10.36074/logos26.02.2021.v1.01
Krasnyuk, M. (2014). Hybridization of intelligent methods of business data analysis (anomaly detection mode) as a standard tool of corporate audit. The state and prospects of the development Education and science of today: materials of the III International science and practice conf. [m. Ternopil, October 10-11. 2014]. TNEU, 2014. pp. 211-212 [in Ukrainian].
M. Krasnyuk, S. Goncharenko, S. Кrasniuk (2022) Intelligent technologies in hybrid corporate DSS (on the example of Ukraine oil&gas production company). Innovation and investment mechanism for ensuring the country's competitiveness: collective monograph / by general ed. O. L. Khultsova. – Lviv-Torun: League-Pres, 2022. – pp. 194-211.
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].
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].
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
