Artificial Intelligence Integration on Project Performance in Infrastructure Development `

Authors

  • Ruth Nakato Mountain of the Moon University

DOI:

https://doi.org/10.47672/ijpm.2941

Keywords:

Artificial Intelligence Integration, Project Performance, Infrastructure Development Projects

Abstract

Purpose: Purpose: The aim of the study was to influence artificial intelligence integration on project performance in infrastructure development projects.

Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.

Findings: The findings indicate that Artificial Intelligence (AI) integration significantly enhances project performance in infrastructure development projects by improving planning accuracy, resource optimization, risk management, and real-time project monitoring. AI technologies such as predictive analytics, automated scheduling, and intelligent decision-support systems contribute to reduced project delays, better cost control, improved quality, and increased operational efficiency. The study concludes that greater adoption of AI can lead to more successful infrastructure project outcomes, provided that organizations invest in adequate digital infrastructure, technical skills, and supportive implementation frameworks.

Recommendation: The resource-based view (RBV) theory, dynamic capabilities theory & the technology-organization-environment (TOE) may be used to anchor future studies on the influence artificial intelligence integration on project performance in infrastructure development projects. The study provides practical guidance to project managers, contractors, consultants, and infrastructure agencies on how AI can be used to improve project delivery. The study informs policymakers on the need to develop AI-readiness frameworks for infrastructure development projects.

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References

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Published

2026-06-05

How to Cite

Nakato, R. (2026). Artificial Intelligence Integration on Project Performance in Infrastructure Development `. International Journal of Project Management, 8(1), 88 – 97. https://doi.org/10.47672/ijpm.2941

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Articles