AMBuS

Article Details

Vol. 1 No. 2 (2026): February

Digital Tools for Project Time Management: Scheduling Performance Improvement in Emerging Economies

https://doi.org/10.35912/ambus.v1i2.3944
12 Feb 2026

Abstract

Purpose: This study examines the role of digital tools in improving schedule performance for project time management in emerging economies. It focuses on the impact of Project Management Information Systems (PMIS), Building Information Modeling (BIM/4D/5D), and artificial intelligence-based analytics on project time efficiency.

Methodology/approach: The research employs a conceptual review and analytical framework, synthesizing existing empirical evidence from open sources. The study analyzes how digital tools affect schedule performance, integrating Project Time Management Theory and Principal–Agent Theory.

Results/findings: The findings indicate that digital tools like PMIS and BIM/4D/5D enhance schedule performance by improving planning accuracy, real-time monitoring, and decision-making speed. However, their effectiveness depends on the technological infrastructure and institutional readiness in emerging economies..

Conclusion: Digital transformation is essential for improving project scheduling in emerging economies. A phased approach, starting with PMIS, followed by 4D/5D BIM integration, and AI adoption, provides the most effective strategy.

Limitations: The study relies on secondary data from publicly available sources, which may lack consistency. Additionally, the analysis focuses on schedule performance and does not include cost or scope performance.

Contribution: This research contributes valuable insights into the role of digital tools in project time management, offering practical recommendations for policymakers and practitioners in emerging economies.

Keywords

BIM 4D/5D Digital Tools Emerging Economies Project Management Information Systems Project Time Management Schedule Performance

How to Cite

Samira, Y., & Oʻgʻli, M. M. M. (2026). Digital Tools for Project Time Management: Scheduling Performance Improvement in Emerging Economies. Advances in Management and Business Studies, 1(2), 97–105. https://doi.org/10.35912/ambus.v1i2.3944

References

  1. Ahuja, R., Sawhney, A., Jain, M., Arif, M., & Rakshit, S. (2020). Factors Influencing BIM Adoption in Emerging Markets–The Case of India. International journal of construction management, 20(1), 65-76. doi:https://doi.org/10.1080/15623599.2018.1462445
  2. Alsofiani, M. A. (2024). Digitalization in Infrastructure Construction Projects: A PRISMA-Based Review of Benefits and Obstacles. Astronomy & Computing, 1-8. doi:https://doi.org/10.48550/arXiv.2405.16875
  3. Bianchi, M. J., Conforto, E. C., & Amaral, D. C. (2021). Beyond the Agile Methods: A Diagnostic Tool to Support the Development of Hybrid Models. International Journal of Managing Projects in Business, 14(5), 1219-1244. doi:https://doi.org/10.1108/IJMPB-04-2020-0119
  4. Bustami, K., & Saifrizal, M. (2025). Project Performance in Infrastructure Development: Analysis of Time and Quality Control Against Budget Allocation. Journal Informatic, Education and Management (JIEM), 7(2), 527-535. doi:https://doi.org/10.61992/jiem.v7i2.169
  5. Chen, M., Martins, T. S., Zhang, L., & Dong, H. (2025). Digital Transformation in Project Management: A Systematic Review and Research Agenda. Systems, 13(8), 1-23. doi:https://doi.org/10.3390/systems13080625
  6. Dagou, H. H., Gurgun, A. P., Koc, K., & Budayan, C. (2025). The Future of Construction: Integrating Innovative Technologies for Smarter Project Management. Sustainability, 17(10), 1-29. doi:https://doi.org/10.3390/su17104537
  7. Das, K., Khursheed, S., & Paul, V. K. (2025). The Impact of BIM on Project Time and Cost: Insights from Case Studies. Discover Materials, 5(1), 1-18. doi:https://doi.org/10.1007/s43939-025-00200-2
  8. Doukari, O., Seck, B., & Greenwood, D. (2022). The Efficient Generation of 4D BIM Construction Schedules: A Case Study of the Nanterre 2 CESI Project in France. Frontiers in Built Environment, 8, 1-18. doi:https://doi.org/10.3389/fbuil.2022.998309
  9. Du, S., Hou, L., Zhang, G., Tan, Y., & Mao, P. (2024). BIM and IFC Data Readiness for AI Integration in the Construction Industry: A Review Approach. Buildings, 14(10), 1-54. doi:https://doi.org/10.3390/buildings14103305
  10. Gao, Y., & Wang, B. (2026). Digital Project Management in the Construction Industry: Bim,Ai and Pmis as Drivers of Sustainable Performance. International Journal of Multidisciplinary Research, 2(1), 20-24. doi:https://doi.org/10.65231/ijmr.v2i1.67
  11. Hashimzai, I. A., & Mohammadi, M. Q. (2024). The Integration of Artificial Intelligence in Project Management: A Systematic Literature Review of Emerging Trends and Challenges. TIERS Information Technology Journal, 5(2), 153-164. doi:https://doi.org/10.38043/tiers.v5i2.5963
  12. Irankunda, G., Zhang, W., Abdullahi, U. I., Fernand, M., David, B., & Jean-Petit, S. (2025). Understanding Critical Delay Causative Factors and Their Mitigation Measures in Burundi Communal Construction Projects: A Factor Analysis and Structural Equation Modeling Approach. Buildings, 15(3), 1-29. doi:https://doi.org/10.3390/buildings15030473
  13. Khahro, S. H., Shaikh, H. H., Zainun, N. Y., Sultan, B., & Khahro, Q. H. (2023). Delay in Decision-Making Affecting Construction Projects: A Sustainable Decision-Making Model for Mega Projects. Sustainability, 15(7), 1-22. doi:https://doi.org/10.3390/su15075872
  14. Khasawneh, M. A., & Dweiri, F. (2025). Influence of Digital Infrastructure on Project Management Success: Readiness, Fitness, and Tools as Moderators. Emerging Science Journal, 9(6), 3319-3348. doi:https://doi.org/10.28991/esj-2025-09-06-024
  15. Khoshkonesh, A., Mohammadagha, M., & Ebrahimi, N. (2025). Integrated 4D/5D Digital-Twin Framework for Cost Estimation and Probabilistic Schedule Control: A Texas Mid-Rise Case Study. Computational Engineering, Finance, and Science, 1-22. doi:https://doi.org/10.48550/arXiv.2511.15711
  16. Kurniawan, R., & Sushandoyo, D. (2025). Bridging the BIM Maturity Gap in Developing Country: A Change and Knowledge Management Framework for Enhancing Project Values. European Journal of Business and Management Research, 10(4), 198-202. doi:https://doi.org/10.24018/ejbmr.2025.10.4.2736
  17. Lakhamraju, M. V. (2024). Digital Transformation in Project Management: Tools, Challenges, and Best Practices. Journal of Information Systems Engineering and Management, 10(52), 927-939. doi:https://doi.org/10.52783/jisem.v10i52s.10885
  18. Pamuji, S., Ni’mah, T., Baharuddin, K., Novianto, A., Wibowo, E., & Kasmin, K. (2025). Time Management: The Key to Success in Managing Complex Projects. International Journal of Multidisciplinary Approach Research and Science, 3(1), 124-134. doi:https://doi.org/10.59653/ijmars.v3i01.1234
  19. Pittri, H., Godawatte, G. A. G. R., Esangbedo, O. P., Antwi-Afari, P., & Bao, Z. (2025). Exploring Barriers to the Adoption of Digital Technologies for Circular Economy Practices in the Construction Industry in Developing Countries: A Case of Ghana. Buildings, 15(7), 1-31. doi:https://doi.org/10.3390/buildings15071090
  20. Plattfaut, R. (2022). On the Importance of Project Management Capabilities for Sustainable Business Process Management. Sustainability, 14(13), 1-12. doi:https://doi.org/10.3390/su14137612
  21. Qadir, S., Alawag, A. M., Baarimah, A. O., Zia, N., Alajmi, M., Almujibah, H. R., & Alyami, H. (2025). The Role of Digital Technologies in Enhancing Construction Project Management. Scientific Reports, 16, 1-32. doi:https://doi.org/10.1038/s41598-025-31955-6
  22. Ramandhani, E. A., Lenggogeni, L., & Yasinta, R. B. (2025). Penerapan Teknologi Building Information Modeling (BIM) 4D pada Manajemen Waktu dalam Proyek Konstruksi. Jurnal Pendidikan Tambusai, 9(2), 22667-22673. doi:https://doi.org/10.31004/jptam.v9i2.30209
  23. Rehman, I. U., Mazher, K. M., & Wuni, I. Y. (2025). Systematic Review of 4D BIM Benefits in Construction Projects. Results in Engineering, 28, 1-17. doi:https://doi.org/10.1016/j.rineng.2025.107091
  24. Rokooei, S. (2015). Building Information Modeling in Project Management: Necessities, Challenges and Outcomes. Procedia-Social and Behavioral Sciences, 210, 87-95. doi:https://doi.org/10.1016/j.sbspro.2015.11.332
  25. Sava?, S. (2025). Artificial Intelligence in Construction Project Management: Trends, Challenges and Future Directions. Journal of Design for Resilience in Architecture and Planning, 6(2), 221-238. doi:https://doi.org/10.47818/DRArch.2025.v6i2165
  26. Shah, F. H., Bhatti, O. S., & Ahmed, S. (2023). Project Management Practices in Construction Projects and Their Roles in Achieving Sustainability—A Comprehensive Review. Engineering Proceedings, 44(1), 1-5. doi:https://doi.org/10.3390/engproc2023044002
  27. Shoushtari, F., Daghighi, A., & Ghafourian, E. (2024). Application of Artificial Intelligence in Project Management. International journal of industrial engineering and operational research, 6(2), 49-63. doi:https://doi.org/10.22034/ijieor.v6i2.89
  28. Sobirovich, B. N. (2021). Prospects for Development of BIM Technologies in Uzbekistan. ACADEMICIA: An International Multidisciplinary Research Journal, 11(12), 804-808. doi:https://doi.org/10.5958/2249-7137.2021.02743.9
  29. Succar, B. (2009). Building Information Modelling Framework: A Research and Delivery Foundation for Industry Stakeholders. Automation in construction, 18(3), 357-375. doi:https://doi.org/10.1016/j.autcon.2008.10.003
  30. Villena-Manzanares, F., García-Segura, T., & Pellicer, E. (2020). Organizational Factors That Drive to BIM Effectiveness: Technological Learning, Collaborative Culture, and Senior Management Support. Applied Sciences, 11(1), 1-16. doi:https://doi.org/10.3390/app11010199
Contact Us
WhatsApp Instagram Facebook LinkedIn Email