УДК: 338.242.4:69:004.9:355.01

DOI: https://doi.org/10.36887/2415-8453-2025-3-89

Zubko Vitaliy,
Higher Educational Institution "International University of Business and Law"
https://orcid.org/0009-0003-9485-0486

JEL classification: L74, M21, O33


The article conceptualizes the digital convergence of anti-crisis tools in the construction industry through the prism of the enterprise life cycle. The mechanisms by which business entities adapt to military exogenous shocks are investigated, and the role of digitalization as a key facilitator of operational stability amid systemic economic turbulence is substantiated. The article summarizes theoretical approaches to determining the essence of the economic crisis and anti-crisis management, presented in the works of domestic and foreign researchers. The specifics of the manifestation of crisis phenomena in the construction industry, which is characterized by high capital intensity, long investment cycles, and significant dependence on macroeconomic and institutional factors, are analyzed. Attention is paid to the concept of the “crisis triad,” which comprises indicators, catalysts, and root causes of crisis processes, enabling the systematic identification of sources of threats and the formulation of effective management decisions. It has been proven that integrating digital tools into the management system increases the efficiency of risk monitoring, resource planning, and the transparency of construction project implementation. Three key stages of anti-crisis management in construction enterprises are identified: diagnosis of the crisis and formation of an anti-crisis program, restructuring activities with the implementation of anti-crisis measures, and achieving a break-even level, followed by stabilization and restoration of economic development. The features of the manifestation of crisis processes across different stages of construction companies’ life cycle are examined, and directions for applying digital tools to enhance the effectiveness of anti-crisis management are determined. It has been proven that the convergence of digital tools enables the minimization of information asymmetry and the optimization of the provision of restoration facilities, ensuring macroeconomic stability in the construction sector.

Keywords: anti-crisis management, construction companies, digital transformation, enterprise life cycle, economic security, martial law, digital technologies, BIM, construction industry.

Rеferences

  1. Livoshko, T. V. (2023). Suchasni pidkhody do upravlinnia konkurentospromozhnistiu budivelnoho pidpryiemstva za ESG-kryteriiamy [Modern approaches to managing the competitiveness of a construction enterprise according to ESG criteria]. Visnyk KHNU, (1).
  2. Deming, W. E. (2018). Out of the crisis (Reissue). MIT Press.
  3. Zamlynskyi, V. A., Shchurovska, A. Yu., & Zamlynska, O. V. (2023). Osoblyvosti ta kharakterystyky business intelligence (BI)-system yak instrumentu pidvyshchennia efektyvnosti diialnosti kompanii [Features and characteristics of business intelligence (BI) systems as a tool for increasing the efficiency of the company]. Ukrainian Journal of Applied Economics and Technology, 8(1), 53–61.
  4. Nosan, N. S., Borysenko, O. V., & Nazarenko, T. S. (2024). Antykryzove upravlinnia ta stratehichnyi rozvytok pidpryiemstv u period viiny [Anti-crisis management and strategic development of enterprises during the war]. Ekonomika ta suspilstvo, (68). https://doi.org/10.32782/2524-0072/2024-68-18
  5. Zamlynskyi, V., et al. (2024). Perspektyvy perekhodu do tsyrkuliarnoi ekonomiky v Ukraini v ramkakh yevrointehratsiinykh protsesiv [Prospects for the transition to a circular economy in Ukraine within the framework of European integration processes]. Bulletin National University of Water and Environmental Engineering, 3(107), 40–49.
  6. Dubinin, D. (2022). Tendentsii tsyfrovoi transformatsii protsesiv orhanizatsii budivnytstva v umovakh krytychnykh vplyviv [Trends of digital transformation of construction organization processes in conditions of critical impacts]. Ways to Improve Building Efficiency, 2(50), 31–39. https://doi.org/10.32347/2707-501x.2022.50(2).31-39
  7. Shabatura, T. S., Zamlynska, O. V., Osyk, S. V., & Seleznnova, H. O. (2023). Tsyfrovi aspekty stratehichnoho upravlinnia yak instrumentu pidvyshchennia ekonomichnoi efektyvnosti diialnosti kompanii [Digital aspects of strategic management as a tool for increasing the economic efficiency of the company’s activities]. Actual Problems of Innovative Economy and Law, (3), 71–79.
  8. Zamlynskyi, V. A., Zhuk, N. L., Osyk, S. V., & Martiianova, M. P. (2023). Suchasna biznes-diahnostyka: tsyfrova zrilist ta vidnovlennia ekosystem [Modern business diagnostics: digital maturity and ecosystem restoration]. Ukrainian Journal of Applied Economics and Technology, 8(3), 18–25.
  9. Zamlynskyi, V. A., Heretskyi, R. V., Firsa, D. R., & Stepanenko, S. V. (2023). Posylennia ekonomichnoi bezpeky cherez kontseptsiiu zero waste u stalomu biznesi [Strengthening economic security through the zero waste concept in sustainable business]. Ukrainian Journal of Applied Economics and Technology, 8(4), 139–149. https://doi.org/10.36887/2415-8453-2023-4-22
  10. Pizhuk, O. І. (2021). Structural changes of income by ukrainian households in digitalization conditions. Visnyk ekonomichnoi nauky Ukrainy, 1(40), 153–158. https://doi.org/10.37405/1729-7206.2021.1(40).153-158
  11. Sharif, S. V., Moshfegh, P. H., & Kashani, H. (2023). Simulation modeling of operation and coordination of agencies involved in post-disaster response and recovery. Reliability Engineering & System Safety, 235, Article 109219.
  12. Banfi, F., Brumana, R., Salvalai, G., & Previtali, M. (2022). Digital twin and cloud BIM-XR platform development: from scan-to-BIM-to-DT process to a 4D multi-user live app to improve building comfort, efficiency and costs. Energies, 15(12), Article 4497. https://doi.org/10.3390/en15124497
  13. Opabola, E. A., & Galasso, C. (2024). A probabilistic framework for post-disaster recovery modeling of buildings and electric power networks in developing countries. Reliability Engineering & System Safety, 242, Article 109679.
  14. Pomponi, F., et al. (2019). Sustainability of post-disaster and post-conflict sheltering in Africa: What matters? Sustainable Production and Consumption, 20, 140–150.
  15. Lagap, U., & Ghaffarian, S. (2024). Digital post-disaster risk management twinning: A review and improved conceptual framework. International Journal of Disaster Risk Reduction, 110, Article 104629.
  16. Mushtaha, A. W., et al. (2024). BIM-GIS integration for infrastructure management in post-disaster stage. In 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) (pp. 856–861). IEEE. https://doi.org/10.1109/ICETSIS61505.2024.10459527
  17. Vatchenko, B. S., & Sharanov, R. S. (2022). Antykryzove upravlinnia pidpryiemstvom v umovakh viiny [Anti-crisis enterprise management in war conditions]. Economic Space, (182), 38–43. https://doi.org/10.32782/2224-6282/182-5
  18. Nosan, N. S., Borysenko, O. V., & Nazarenko, T. S. (2024). Antykryzove upravlinnia ta stratehichnyi rozvytok pidpryiemstv u period viiny [Anti-crisis management and strategic development of enterprises during the war]. Ekonomika ta suspilstvo, (68).
  19. Zamlynskyi, V., Tolkachova, H., & Ihumentseva, N. (2023). Strengthening economic security of enterprises through strategic risk management in uncertainsy. Modeling the Development of the Economic Systems, (3), 186–196. https://doi.org/10.31891/mdes/2023-9-25
  20. Hudz, O. Ye. (2019). Formuvannia stratehii antykryzovoho upravlinnia pidpryiemstvamy [Formation of anti-crisis management strategy for enterprises]. Management. Business, 2(28), 4–10. https://doi.org/10.31673/2415-8089.2019.020410
  21. Alaloul, W. S., et al. (2020). Industrial Revolution 4.0 in the construction industry: Challenges and opportunities. Journal of Construction Engineering and Management, 146(6). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001857
  22. Bilal, M., et al. (2016). Big Data in the construction industry: A review of present status, opportunities and future trends. Advanced Engineering Informatics, 30(3), 500–521. https://doi.org/10.1016/j.aei.2016.07.001
  23. Ding, L., Zhou, Y., & Akinci, B. (2014). Building Information Modeling (BIM) application framework: The process of expanding from 3D to computable nD. Automation in Construction, 46, 82–93.
  24. Eastman, C., et al. (2018). BIM handbook: A guide to building information modeling (3rd ed.). Wiley.
  25. Li, C. Z., et al. (2019). A blockchain- and IoT-based smart product-service system for the sustainability of prefabricated housing construction. Automation in Construction, 101, 1–13.
  26. Zhang, J., et al. (2018). Building Information Modeling (BIM) and safety: Automatic safety checking of construction models and schedules. Automation in Construction, 29, 183–195.

The article was received 23.08.2025


Quote article, APA style

Zubko V. 23.08.2025 . Digital transformation of anti-crisis management mechanisms of construction enterprises at different stages of the life cycle under martial law. Ukrainian Journal of Applied Economics and Technology. 2025. №3. 441-446 pp. https://doi.org/10.36887/2415-8453-2025-3-89

Quote article, MLA style

Zubko V. Digital transformation of anti-crisis management mechanisms of construction enterprises at different stages of the life cycle under martial law. Ukrainian Journal of Applied Economics and Technology. 23.08.2025 . https://doi.org/10.36887/2415-8453-2025-3-89