ITPM 2024: pp. 114 - 125
Authors:
- Ihor Berezutskyi
- Tetyana Honcharenko
- Mykola Tsai
- Mykola Zdrilko
- Illia Sachenko
1. Kyiv National University of Construction and Architecture, 31, Air Force Avenue, Kyiv, 03037, Ukraine
2. Kyiv National University of Construction and Architecture, 31, Air Force Avenue, Kyiv, 03037, Ukraine
3. Kyiv National University of Construction and Architecture, 31, Air Force Avenue, Kyiv, 03037, Ukraine
4. Kyiv National University of Construction and Architecture, 31, Air Force Avenue, Kyiv, 03037, Ukraine
5. Kyiv National University of Construction and Architecture, 31, Air Force Avenue, Kyiv, 03037, Ukraine
Abstract
Understanding the factors that contribute to project failure is crucial for enhancing project management
strategies. This study investigates the relationship between project characteristics such as methodology
selection, team composition, and risk management and project outcomes. A structured online
questionnaire was created to collect data, offering broad accessibility and facilitating statistical analysis.
The survey, currently in progress, has already yielded initial 50 responses, though the dataset continues to
evolve. To ensure methodological rigor, the questionnaire adheres to best practices, including clear and
concise questions, a mix of closed and open-ended responses, and a logical structure. The ongoing study
aims to identify patterns and correlations that can improve project resilience and success rates. This study
underscores the importance of a holistic approach to project management, where multiple factors
methodology, team dynamics, stakeholder engagement, and proactive risk management must be carefully
balanced to improve project outcomes. As data collection continues, further refinements will enhance
these insights, providing more precise recommendations for optimizing project management strategies.
Keywords
Project Management; IT; methodological approach; complementary; contradictory; risk forecasting;
results validation
References
[1] R. Young, Why Projects Fails | Incorrect Methodology https://ligsuniversity.com/why-projectsfail-incorrect-methodology/, LIGS University, 2024
[2] I. Berezutskyi, T. Honcharenko, G. Ryzhakova, O. Tykhonova, V. Pokolenko, I. Sachenko,
Methodological Approach for Choosing Type of IT Projects Management, Conference: 2024
IEEE 4th International Conference on Smart Information Systems and Technologies (SIST),
May 2024, URL: DOI: 10.1109/SIST61555.2024.10629587
[3] I. Berezutskyi, T. Honcharenko, Potential implications of artificial intelligence for project
management information systems, 2024. URL: https://ceur-ws.org/Vol-3709/paper3.pdf
[4] D. Chernyshev, G. Ryzhakova, H. Petrenko, I. Chupryna, N. Reznik, Digital Administration of
the Project Based on the Concept of Smart Construction, Lecture Notes in Networks and
Systems, vol.495 LNNS, pp. 1316–1331, 2023, International Conference on Business and
Technology, ICBT 2021, DOI: 10.1007/978-3-031-08954-1_114
[5] Mihaylenko, V., Borodavka, Y., Dolya, E., Savenko, V. Information tools for project
management of the building territory at the stage of urban planning, CEUR Workshop
Proceedings, 2021, 2851, рр. 22–33, http://ceur-ws.org/Vol-2851/paper3.pdf
[6] S. Bushuyev, K. Pilyugina,I. Achkasov, A. Zaprivoda, Clip Thinking in the Digital Age:
Complimentary or Contradictory, 2023 IEEE 18th International Conference on Computer
Science and Information Technologies (CSIT), 2023. DOI: 10.1016/j.procs.2023.12.210
[7] Khan, A., Hasana, M.K., Ghazal, T.M., Islam, S., Alzoubi, H.M., Mokhtar, U.A., Alam, R.,
Ahmad, M., 2022. Collaborative Learning Assessment via Information and Communication
Technology, in: Proceedings, RIVF 2022., pp. 311-316
[8] S. Bushuyev, N. Bushuyeva, D. Bushuiev, V. Bushuieva, Integrated Intelligence Model for
Assessment Digital Transformation Project, 2023 IEEE International Conference on Smart
Information Systems and Technologies (SIST), 2023. DOI:10.1109/SIST58284.2023.10223578
[9] M. El Khatib, A. Al Falasi, Effects of Artificial Intelligence on Decision Making in Project
Management, American Journal of Industrial and Business Management 11, 2021, pp. 251-260.
[10] Harvard Business Review Analytic Services, The Evolution of Decision Making: How Leading
Organizations Are Adopting a Data-Driven Culture. URL:
https://hbr.org/resources/pdfs/tools/17568_HBR_SAS%20Report_webview.pdf
[11] R. Nicoara, Project Management Methods, 2023, DOI: 10.1007/978-1-4842-9663-9_12
[12] R. L. Moura, T. C. J. Carneiro, T. L. Dias, VUCA environment on project success: The effect of
project management methods, Brazilian Business Review 20(3), 2023, DOI:
10.15728/bbr.2023.20.3.1.en
[13] M. Nekrasova, Using methods of probability theory and mathematical statistics in project
management, Bulletin of the National Technical University «KhPI» Series Dynamics and
Strength of Machines, 2023, DOI: 10.20998/2078-9130.2023.2.293040
[14] S. Turney Pearson Correlation Coefficient (r). Guide & Examples, 2024
https://www.scribbr.com/statistics/pearson-correlation-coefficient/
[15] I. Berezutskyi, Method for analyzing project characteristics, Management of Development of
Complex Systems, Kyiv, 2025. DOI: 10.32347/2412-9933.2025.61.145-150
[16] Aliyev, Ali. The AI and Quantum Era: Transforming Project Management Practices. Journal of
Future Artificial Intelligence and Technologies 1.4 (2025): 348-370
[17] G. Ryzhakova, T. Honcharenko, K. Predun, N. Petrukha, O. Malykhina, and O. Khomenko.
Using of Fuzzy Logic for Risk Assessment of Construction Enterprise Management System.
2023 IEEE International Conference on Smart Information Systems and Technologies (SIST),
Astana, Kazakhstan, 2023, pp. 208-213, doi:10.1109/SIST58284.2023.10223560
[18] O. Ilin, S. Bushuyev, V. Gots, T. Liashchenko, Management of IT projects of business analytics
in the BANI environment, Management of Development of Complex Systems, 2024, DOI:
10.32347/2412-9933.2024.59.45-52.