Метод аналізу характеристик проєкту
1. Young R. (2024). Why Projects Fails | Incorrect Methodology https://ligsuniversity.com/why-projects-fail-incorrect-methodology/, LIGS University.
2. Berezutskyi I., Honcharenko T., Ryzhakova G., Tykhonova O., Pokolenko V., Sachenko I. (2024). 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. Berezutskyi I., Honcharenko T. (2024). Potential implications of artificial intelligence for project management information systems. URL: https://ceur-ws.org/Vol-3709/paper3.pdf.
4. Berezutskyi I. (2023). Possibility to use decision-making methods for project management information system, Management of Development of Complex Systems, URL: DOI: 10.32347/2412-9933.2024.57.12-19.
5. Honcharenko T., Akselrod R., Shpakov A., Khomenko O. (2023). Information system based on multi-value classification of fully connected neural network for construction management, IAES International Journal of Artificial Intelligence, № 12 (2), 593–601. URL: https://ijai.iaescore.com/index.php/IJAI/article/view/21864.
6. Ryzhakova G., Malykhina O., Pokolenko V., Rubtsova O., Homenko O., Nesterenko I. (2022). Construction Project Management with Digital Twin Information System, International Journal of Emerging Technology and Advanced Engineering, Vol. 12, Issue 10, pp. 19–28. https://doi.org/10.46338/ijetae1022_03.
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. Bushuyev S., Bushuyeva N., Bushuiev D., Bushuieva V. (2023). Integrated Intelligence Model for Assessment Digital Transformation Project, IEEE International Conference on Smart Information Systems and Technologies (SIST). URL: http://dx.doi.org/10.1109/SIST58284.2023.10223578.
9. El Khatib M., Al Falasi A., (2021). Effects of Artificial Intelligence on Decision Making in Project Management, American Journal of Industrial and Business Management 11, 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. Nicoara R. (2023). Project Management Methods. URL: DOI: 10.1007/978-1-4842-9663-9_12
12. Moura R. L., Carneiro T. C. J., Dias T. L. (2023). VUCA environment on project success: The effect of project management methods, Brazilian Business Review 20 (3). URL: DOI: 10.15728/bbr.2023.20.3.1.en
13. Nekrasova M. (2023). Using methods of probability theory and mathematical statistics in project management, Bulletin of the National Technical University «KhPI» Series Dynamics and Strength of Machines. URL: DOI: 10.20998/2078-9130.2023.2.293040
14. Turney S. (2024). Pearson Correlation Coefficient (r). Guide & Examples, https://www.scribbr.com/statistics/pearson-correlation-coefficient/
1. Young R. (2024). Why Projects Fails | Incorrect Methodology https://ligsuniversity.com/why-projects-fail-incorrect-methodology/, LIGS University.
2. Berezutskyi I., Honcharenko T., Ryzhakova G., Tykhonova O., Pokolenko V., Sachenko I. (2024). 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. Berezutskyi I., Honcharenko T. (2024). Potential implications of artificial intelligence for project management information systems. URL: https://ceur-ws.org/Vol-3709/paper3.pdf.
4. Berezutskyi I. (2023). Possibility to use decision-making methods for project management information system, Management of Development of Complex Systems, URL: DOI: 10.32347/2412-9933.2024.57.12-19.
5. Honcharenko T., Akselrod R., Shpakov A., Khomenko O. (2023). Information system based on multi-value classification of fully connected neural network for construction management, IAES International Journal of Artificial Intelligence, № 12 (2), 593–601. URL: https://ijai.iaescore.com/index.php/IJAI/article/view/21864.
6. Ryzhakova G., Malykhina O., Pokolenko V., Rubtsova O., Homenko O., Nesterenko I. (2022). Construction Project Management with Digital Twin Information System, International Journal of Emerging Technology and Advanced Engineering, Vol. 12, Issue 10, pp. 19–28. https://doi.org/10.46338/ijetae1022_03.
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. Bushuyev S., Bushuyeva N., Bushuiev D., Bushuieva V. (2023). Integrated Intelligence Model for Assessment Digital Transformation Project, IEEE International Conference on Smart Information Systems and Technologies (SIST). URL: http://dx.doi.org/10.1109/SIST58284.2023.10223578.
9. El Khatib M., Al Falasi A., (2021). Effects of Artificial Intelligence on Decision Making in Project Management, American Journal of Industrial and Business Management 11, 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. Nicoara R. (2023). Project Management Methods. URL: DOI: 10.1007/978-1-4842-9663-9_12
12. Moura R. L., Carneiro T. C. J., Dias T. L. (2023). VUCA environment on project success: The effect of project management methods, Brazilian Business Review 20 (3). URL: DOI: 10.15728/bbr.2023.20.3.1.en
13. Nekrasova M. (2023). Using methods of probability theory and mathematical statistics in project management, Bulletin of the National Technical University «KhPI» Series Dynamics and Strength of Machines. URL: DOI: 10.20998/2078-9130.2023.2.293040
14. Turney S. (2024). Pearson Correlation Coefficient (r). Guide & Examples, https://www.scribbr.com/statistics/pearson-correlation-coefficient/