Management of innovative projects based on artificial intelligence applications in a turbulent environment
DOI:
https://doi.org/10.30837/2522-9818.2025.2.168Keywords:
artificial intelligence, innovative projects, turbulent environment, risk management, multimodal systems.Abstract
The subject of this study is the management of innovative projects based on artificial intelligence (AI) in a turbulent environment, which is a particularly relevant situation for Ukraine due to its unique combination of challenges and opportunities. The full-scale invasion of Russia, economic instability in Ukraine, the outflow of personnel, and limited resources create a complex BANI environment (Brittle, Anxious, Nonlinear, Incomprehensible), which complicates traditional management approaches. The purpose of the study is to create a conceptual and mathematical model of effective management of innovative projects in the conditions of AI development and a turbulent BANI environment. At the same time, Ukraine demonstrates significant potential in the field of AI application, ranking second in the number of AI companies in Central and Eastern Europe according to the Ministry of Digital Transformation. The objectives of the study are to develop models for managing innovative projects in the context of digital transformation, covering the state administration "Diya", defence, medicine and education. AI allows you to predict risks, optimise resources and accelerate adaptation to changes, which is key to increasing competitiveness and resilience in war and post-conflict recovery. The relevance is also enhanced by the need to develop an ethical and legal framework for the use of AI, support start-up’s and create a national language model (LLM) that meets Ukraine's European integration aspirations. The product of the study is a conceptual and mathematical model for the management of innovative projects and products based on AI in a turbulent environment. A mathematical model is proposed that is aimed at practical application by Ukrainian companies to create innovative products and increase their competitiveness. This model includes basic principles such as customer orientation, values, flexibility, risk management, interdisciplinarity, experimentation, use of technology, sustainability and innovation culture. The research process covers several stages – studying global trends and specifics of the state of Ukraine, identifying key principles of effective innovation management, such as flexibility, risk management and technological integration. The results of the study include models that prove that AI increases the efficiency of innovation projects through automation, forecasting and optimisation of resources based on a value system. War conditions emphasise the importance of AI for battlefield analysis and logistics. Conclusions – the study confirms that AI-based innovation project management in the turbulent environment of Ukraine is not only relevant, but also strategically important for recovery and development. The conceptual and mathematical model, as a product of the study, provides a theoretical and practical basis for creating valuable innovations, and the results emphasise the potential of AI to save resources, adapt to change and increase resilience. Further research can deepen these aspects, contributing to Ukraine's innovative breakthrough.
References
Список літератури
Godoy M. F. Ribas Filho D. Facing the BANI World. International Journal of Nutrology, 14(2), 33 р. 2021. DOI: https://doi.org/10.1055/s-0041-1735848
Бушуєв С. Д., Тихонович Ю., Черниш О., Сухонос Н., Халілов А. Креативні принципи управління інноваційними проєктами в середовищі BANI. Управління розвитком складних систем, (57), Р. 6–11. DOI: 2024. https://doi.org/10.32347/2412-9933.2024.57.6-11
Fernández J., Moreno J., Vergara-González E., Iglesias G. Bibliometric Analysis of the Application of Artificial Intelligence Techniques to the Management of Innovation Projects. Applied Sciences. 12(22). 2022. DOI: https://doi.org/10.3390/app122211743
Aliyev A. Project Management Revolution: How Startups Integrate Artificial Intelligence to Succeed. Ancient land. 2024. DOI: https://doi.org/10.36719/2706-6185/42/146-149
Bushuyev S., Ivko A. Construction of models and application of syncretic innovation project management in the era of artificial intelligence. Eastern-European Journal of Enterprise Technologies.2024. 33 (129), Р. 44–54. DOI: https://doi.org/10.15587/1729-4061.2024.306436
Bushuev S., Ivko A., Tikhonovych Y. Syncretic project management in the era of artificial intelligence explosion. Environmental safety and natural resources. 2024. 49(1), Р. 85–98. DOI: https://doi.org/10.32347/2411-4049.2024.1.85-98
Prasetyo M., Peranginangin R., Martinovic N., Ichsan M., Wicaksono H. Artificial intelligence in open innovation project management: A systematic literature review on technologies, applications, and integration requirements. Journal of Open Innovation: Technology, Market, and Complexity. 2025. Volume 11, Issue 1, 100445 р. DOI: https://doi.org/10.1016/j.joitmc.2024.100445
Reznikov R. Enhancing Project Management Success through Artificial Intelligence. International Journal of Multidisciplinary Research and Growth Evaluation. 2025. DOI: https://doi.org/10.54660/.ijmrge.2025.6.1.1036-1046
Taboada I., Daneshpajouh A., Toledo N., De Vass T. Artificial Intelligence Enabled Project Management: A Systematic Literature Review. Applied Sciences. 2023. 13(8), 5014 р. DOI: https://doi.org/10.3390/app13085014
J. M. Mesa Fernández Bibliometric analysis of the application of artificial intelligence techniques to the management of innovation projects / J. M. Mesa Fernández et al. Applied sciences. 2022. Vol. 12, No. 22. 11743 р. DOI: https://doi.org/10.3390/app122211743
El Khatib M., Al Falasi A. Effects of artificial intelligence on decision making in project management. American journal of industrial and business management. 2021. Vol. 11, No. 03. P. 251–260. DOI: https://doi.org/10.4236/ajibm.2021.113016
Elmousalami H. H. Comparison of artificial intelligence techniques for project conceptual cost prediction: a case study and comparative analysis. IEEE transactions on engineering management. 2021. Vol. 68, No. 1. P. 183–196. DOI: https://doi.org/10.1109/tem.2020.2972078
L. Kahn Modelling hybrid human-artificial intelligence cooperation: a call center customer service case study / L. Kahn et al. IEEE Xplore logo. 2020. 3075 p. DOI: https://doi.org/10.1109/BigData50022.2020.9377747
Prifti V. Optimizing project management using artificial intelligence. European journal of formal sciences and engineering. 2022. Vol. 5, No. 1. 29 р. DOI: https://doi.org/10.26417/667hri67
Wachnik B. Analysis of the use of artificial intelligence in the management of Industry 4.0 projects. The perspective of Polish industry. Production engineering archives. 2022. Vol. 28, No. 1. P. 56–63. DOI: https://doi.org/10.30657/pea.2022.28.07
References
Godoy, M. F. Ribas, Filho D. (2021), "Facing the BANI World". International Journal of Nutrology, 14(2), 33 р. DOI: https://doi.org/10.1055/s-0041-1735848
Bushuyev, S., Tykchonovych, Ju., Chernysh, O., Sukhonos, N., Khalilov, А.,(2024). "Creative principles for managing innovation projects in BANI environment". Management of Development of Complex Systems, 57, Р. 6–11. DOI: 10.32347/2412-9933.2024.57.6-11
Fernández, J., Moreno, J., Vergara-González, E., Iglesias, G. (2022), "Bibliometric Analysis of the Application of Artificial Intelligence Techniques to the Management of Innovation Projects". Applied Sciences. 12(22). DOI: https://doi.org/10.3390/app122211743
Aliyev, A. (2024), "Project Management Revolution: How Startups Integrate Artificial Intelligence to Succeed". Ancient land. DOI: https://doi.org/10.36719/2706-6185/42/146-149
Bushuyev, S., Ivko, A. (2024), "Construction of models and application of syncretic innovation project management in the era of artificial intelligence". Eastern-European Journal of Enterprise Technologies. 33 (129), Р. 44–54. DOI: https://doi.org/10.15587/1729-4061.2024.306436
Bushuev, S., Ivko, A., Tikhonovych, Y. (2024), "Syncretic project management in the era of artificial intelligence explosion". Environmental safety and natural resources. 49(1), Р. 85–98. DOI: https://doi.org/10.32347/2411-4049.2024.1.85-98
Prasetyo, M., Peranginangin, R., Martinovic, N., Ichsan, M., Wicaksono, H. (2025), "Artificial intelligence in open innovation project management: A systematic literature review on technologies, applications, and integration requirements". Journal of Open Innovation: Technology, Market, and Complexity. Volume 11, Issue 1, 100445 р. DOI: https://doi.org/10.1016/j.joitmc.2024.100445
Reznikov, R. (2025), "Enhancing Project Management Success through Artificial Intelligence". International Journal of Multidisciplinary Research and Growth Evaluation. DOI: https://doi.org/10.54660/.ijmrge.2025.6.1.1036-1046
Taboada, I., Daneshpajouh, A., Toledo, N., De Vass, T. (2023), "Artificial Intelligence Enabled Project Management: A Systematic Literature Review". Applied Sciences. 2023. 13(8), 5014 р. DOI: https://doi.org/10.3390/app13085014
J. M. Mesa, Fernández (2022), "Bibliometric analysis of the application of artificial intelligence techniques to the management of innovation projects" / J. M. Mesa Fernández et al. Applied sciences. Vol. 12, No. 22. 11743 р. DOI: https://doi.org/10.3390/app122211743
El Khatib, M., Al, Falasi A. (2021), "Effects of artificial intelligence on decision making in project management". American journal of industrial and business management. Vol. 11, No. 03. P. 251–260. DOI: https://doi.org/10.4236/ajibm.2021.113016
Elmousalami, H. H. (2021), "Comparison of artificial intelligence techniques for project conceptual cost prediction: a case study and comparative analysis". IEEE transactions on engineering management. Vol. 68, No. 1. P. 183–196. DOI: https://doi.org/10.1109/tem.2020.2972078
Kahn, L. (2020), "Modelling hybrid human-artificial intelligence cooperation: a call center customer service case study" / L. Kahn et al. IEEE Xplore logo. 3075 p. DOI: https://doi.org/10.1109/BigData50022.2020.9377747
Prifti, V. (2022), "Optimizing project management using artificial intelligence". European journal of formal sciences and engineering. Vol. 5, No. 1. 29 р. DOI: https://doi.org/10.26417/667hri67
Wachnik, B. (2022), "Analysis of the use of artificial intelligence in the management of Industry 4.0 projects". The perspective of Polish industry. Production engineering archives. Vol. 28, No. 1. P. 56–63. DOI: https://doi.org/10.30657/pea.2022.28.07
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