Retrieved from Vol. 30, No. 1, 2026
Pages 30 -42
Received 09.11.2025
Revised 22.02.2026
Accepted 26.03.2026
Published 05.04.2026
Retrieved from Vol. 30, No. 1, 2026
Pages 30 -42
Abstract
The increasing frequency and complexity of economic, infrastructural, and geopolitical crises has significantly increased the need for effective crisis management in project-oriented enterprises. This is particularly true in the transport sector, which is sensitive to external changes. In conditions of increased uncertainty, traditional management approaches often prove insufficient, requiring the use of innovative and flexible solutions. The purpose of this study was to justify modern approaches to anti-crisis management based on the use of digital technologies within the framework of sustainable project management. The research methodology was based on systematic and comparative analysis, synthesis, statistical analysis, data visualisation, and scenario modelling, which together provide a comprehensive assessment of anti-crisis management processes. It has been established that the use of data analytics, artificial intelligence, cloud computing, and digital platforms contributes to early crisis detection, risk assessment, and rapid response. These technologies enable enterprises to process large amounts of data in real time, improve forecasting accuracy, accelerate management decision-making, and optimise the allocation of limited resources. An analysis of statistical data for Ukraine’s transport sector for 2022-2024 showed the growing adaptive potential of companies undergoing digital transformation, particularly in response to the challenges of wartime and the post-crisis period. The results of the study confirmed that the integration of digital technologies into anti-crisis management systems increases organisational potential, ensures the continuity of project implementation, and contributes to the achievement of sustainable development goals. The practical significance of the study lies in the possibility of applying the results in the activities of transport enterprise managers, government authorities, and other stakeholders involved in infrastructure and investment projects, which will contribute to the development of more sustainable and stable transport systems
Keywords:
digital technologies; prevention; decision making; business analytics; stakeholders; risks