Public Administration
📈 Global Citations (Crossref): 0
📊 Article Statistics:
👁️ Views: 18
📥 Downloads: 6
Authors
Name: Osama El-Helbawi |
Country: Lebanese Republic
Department / Fine Specialization: Business Administration / Public Policy and Decision Making
Institution / University: Azad Islamic University / Tehran - Iran
Abstract
This study aims to analyze the integrative role of innovative management approaches (Agile and Lean methodologies) and the use of Artificial Intelligence (AI) in improving the efficiency of managing large-scale urban construction projects. The study examines the impact of these tools on key performance variables, namely cost reduction, schedule compression, and the improvement of decision-making quality. The research is further expanded to include theoretical frameworks for technology adoption (DOI and TOE), as well as the ethical and governance challenges associated with the use of AI. The study adopts a descriptive–analytical methodology and is applied to a sample of project managers in major construction companies. The results reveal a positive and statistically significant relationship between the adoption of innovative management practices and AI technologies and the improvement of project delivery efficiency. The study recommends that companies invest in developing digital competencies and adopt flexible and ethical governance frameworks to ensure the optimal utilization of these technologies.
Keywords: Innovative Management, Artificial Intelligence, Urban Construction Project Management, Delivery Efficiency, Decision-Making, AI Ethics
Research Language:
Arabic
How to cite:
ElQarar Journal for Peer-Reviewed Scientific Research, Vol. 9, Issue 25, Year (3), pp. 122-136.
ElQarar Journal for Peer-Reviewed Scientific Research, Vol. 9, Issue 25, Year (3), pp. 122-136.
Download Citation:
Endnote/Zotero/Mendeley (RIS)
BibTeX
⚖️ Conflict of Interest:
The author/authors declare no conflict of interest regarding the publication of this research.
💰 Funding:
This study did not receive any financial support or grant from any public, private, or non-profit entity.
References
- Bibri, S. E. (2024). The synergistic interplay of artificial intelligence and digital twins in smart cities. Sustainable Cities and Society.
- Oracle. (2025). AI in Construction: Benefits and Opportunities. Oracle Construction and Engineering.
- PMA Consultants. (2024). Agile Project Management in Construction: A Game Changer. PMA Consultants Insights.
- Projectmanagement.com. (2024). How Agile & Lean Are Redefining Construction Projects. Projectmanagement.com.
- Sacoto-Cabrera, E. J., Perez-Torres, A., & Tello-Oquendo, L. (2025). IoT, AI, and Digital Twins in Smart Cities: A Systematic Review. Smart Cities, 8(5), 175.
- Safaei, M. (2024). Integrating AI for agile Project Management: Innovations, challenges, and benefits. ResearchGate.
- The Digital Project Manager. (2025). 20 Best AI Tools for Construction Project Management. The Digital Project Manager.
- Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. [12]
- Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington Books. [13]
- Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial intelligence and the public sector: Applications and challenges. International Journal of Public Sector Management. [14]
This work is licensed under a Creative Commons Attribution 4.0 International License. Permitting copying, distribution, and reproduction of the work in any medium or format for any purpose, even commercially, provided the original work is properly attributed.