Comparative analysis of digital project management tools: smart analytics as a selection criterion
DOI:
https://doi.org/10.26661/2522-1566/2026-2/36-09Keywords:
project management, smart analytics, digital management tools, Weighted Sum Model, multi-criteria decision-making, TOPSIS, comparative analysis, digital transformationAbstract
The article develops and tests a method for smart-analytical assessment of digital project management tools as a basis for supporting managerial decisions when selecting a PM platform under digital transformation conditions. The purpose of the study is to compare seven widely used PM tools, namely Jira, Asana, Monday.com, ClickUp, Trello, Notion and MS Project, by their capacity to support data-driven project management. The methodology is based on the Weighted Sum Model applied to seven criteria of smart-analytical capability: analytics and reporting, AI functionality, data visualization, predictive analytics, integrations, metric customization and real-time monitoring. The stability of the results is tested through sensitivity analysis under four weighting scenarios and additionally verified by TOPSIS. The findings show a substantial differentiation of PM tools by smart-analytical capabilities, with WSM scores ranging from 2.40 to 4.70. Three groups of platforms are identified: powerful tools, balanced tools and basic tools. The rankings obtained by WSM and TOPSIS coincide, indicating the internal consistency of the proposed assessment procedure. The practical value of the study lies in offering organizations a reproducible basis for selecting project management software according to the analytical needs of teams, business scale and project complexity. The originality of the study consists in treating smart-analytical capability as an independent criterion for choosing PM platforms and combining WSM, scenario sensitivity analysis and TOPSIS within one evaluation framework.
JEL Classification: M15, O32, C80, L86
References
1. Miah, M. A., Barikdar, C. R., Rahman, H., Mahmud, F., Hassan, J., Orthi, S. M., & Das, N. (2025). Comparative analysis of project management software: Functionality, usability, and integration for modern workflows. Membrane Technology, 2025(1), 554-565. https://doi.org/10.52710/mt.309
2. Jadhav, A., & Sonar, R. (2009). Analytic hierarchy process (AHP), weighted scoring method (WSM), and hybrid knowledge based system (HKBS) for software selection: A comparative study. 2009 Second International Conference on Emerging Trends in Engineering & Technology, 991-997. https://doi.org/10.1109/ICETET.2009.33
3. Chen, M., Martins, T. S., Zhang, L., & Dong, H. (2025). Digital transformation in project management: A systematic review and research agenda. Systems, 13(8), 625. https://doi.org/10.3390/systems13080625
4. Adamantiadou, D. S., & Tsironis, L. (2025). Leveraging artificial intelligence in project management: A systematic review of applications, challenges, and future directions. Computers, 14(2), 66. https://doi.org/10.3390/computers14020066
5. Nenni, M. E., De Felice, F., De Luca, C., & Forcina, A. (2025). How artificial intelligence will transform project management in the age of digitization: A systematic literature review. Management Review Quarterly. https://doi.org/10.1007/s11301-024-00418-z
6. Taboada, I., Daneshpajouh, A., Toledo, N., & de Vass, T. (2023). Artificial intelligence enabled project management: A systematic literature review. Applied Sciences, 13(8), 5014. https://doi.org/10.3390/app13085014
7. Almalki, S. S. (2025). AI-driven decision support systems in agile software project management: Enhancing risk mitigation and resource allocation. Systems, 13(3), 208. https://doi.org/10.3390/systems13030208
8. Project Management Institute. (2024). Pulse of the Profession 2024: The future of project work. PMI. https://www.pmi.org/learning/thought-leadership/future-of-project-work
9. Nikolau, J. (2026). Project management software statistics, facts & trends 2025. Mosaic. https://www.mosaicapp.com/post/project-management-software-statistics-facts-trends-2025
10. Поповський, Ю. Б., & Орєхов, М. (2026). Аналітичні інструменти підтримки управлінських рішень: методологія та практика впровадження. Економічний простір, (212), 92-101. https://doi.org/10.30838/EP.212.92-101
11. Grand View Research. (2023). Project management software market to reach $20.47Bn by 2030. Grand View Research. https://www.grandviewresearch.com/press-release/global-project-management-software-market
12. Datanyze. (2026). Project management software market share. https://www.datanyze.com/market-share/project-management--217
13. Capterra. (2026). 2026 Capterra Shortlist for Project Management. https://www.capterra.com/project-management-software/shortlist/
14. Technavio. (2025). AI in project management market size 2025-2029. https://www.technavio.com/report/ai-in-project-management-market-industry-analysis
15. Montgomery, O. (2025). AI & security are top concerns in Capterra's 2025 Project Management Software Trends Survey. Capterra. https://www.capterra.com/resources/2025-pm-software-trends/
REFERENCES
Miah, M. A., Barikdar, C. R., Rahman, H., Mahmud, F., Hassan, J., Orthi, S. M., & Das, N. (2025). Comparative analysis of project management software: Functionality, usability, and integration for modern workflows. Membrane Technology, 2025(1), 554-565. https://doi.org/10.52710/mt.309
Jadhav, A., & Sonar, R. (2009). Analytic hierarchy process (AHP), weighted scoring method (WSM), and hybrid knowledge based system (HKBS) for software selection: A comparative study. 2009 Second International Conference on Emerging Trends in Engineering & Technology, 991-997. https://doi.org/10.1109/ICETET.2009.33
Chen, M., Martins, T. S., Zhang, L., & Dong, H. (2025). Digital transformation in project management: A systematic review and research agenda. Systems, 13(8), 625. https://doi.org/10.3390/systems13080625
Adamantiadou, D. S., & Tsironis, L. (2025). Leveraging artificial intelligence in project management: A systematic review of applications, challenges, and future directions. Computers, 14(2), 66. https://doi.org/10.3390/computers14020066
Nenni, M. E., De Felice, F., De Luca, C., & Forcina, A. (2025). How artificial intelligence will transform project management in the age of digitization: A systematic literature review. Management Review Quarterly. https://doi.org/10.1007/s11301-024-00418-z
Taboada, I., Daneshpajouh, A., Toledo, N., & de Vass, T. (2023). Artificial intelligence enabled project management: A systematic literature review. Applied Sciences, 13(8), 5014. https://doi.org/10.3390/app13085014
Almalki, S. S. (2025). AI-driven decision support systems in agile software project management: Enhancing risk mitigation and resource allocation. Systems, 13(3), 208. https://doi.org/10.3390/systems13030208
Project Management Institute. (2024). Pulse of the Profession 2024: The future of project work. PMI. https://www.pmi.org/learning/thought-leadership/future-of-project-work
Nikolau, J. (2026). Project management software statistics, facts & trends 2025. Mosaic. https://www.mosaicapp.com/post/project-management-software-statistics-facts-trends-2025
Popovskyi, Yu. B., & Oriekhov, M. (2026). Analitychni instrumenty pidtrymky upravlinskykh rishen: metodolohiia ta praktyka vprovadzhennia [Analytical tools for supporting management decisions: Methodology and implementation practice]. Ekonomichnyi prostir, (212), 92-101. https://doi.org/10.30838/EP.212.92-101 [in Ukrainian].
Grand View Research. (2023). Project management software market to reach $20.47Bn by 2030. Grand View Research. https://www.grandviewresearch.com/press-release/global-project-management-software-market
Datanyze. (2026). Project management software market share. https://www.datanyze.com/market-share/project-management--217
Capterra. (2026). 2026 Capterra Shortlist for Project Management. https://www.capterra.com/project-management-software/shortlist/
Technavio. (2025). AI in project management market size 2025-2029. https://www.technavio.com/report/ai-in-project-management-market-industry-analysis
Montgomery, O. (2025). AI & security are top concerns in Capterra's 2025 Project Management Software Trends Survey. Capterra. https://www.capterra.com/resources/2025-pm-software-trends/
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