Exploring the Challenges and Opportunities of AI in Decision-Making in Construction Project Management
DOI:
https://doi.org/10.7166/36-3-3319Abstract
This research explores the integration of artificial intelligence (AI) in construction project management, emphasising its effect on decision-making. While AI offers substantial potential to improve efficiency and optimise resources, its adoption in the construction industry faces notable challenges. This study bridges the gap between AI’s theoretical potential and its practical application by exploring how it could transform decision-making in resource management, risk assessment, and project scheduling. Using qualitative methods and thematic analysis, the research evaluates current AI usage, identifies key roles, and analyses both difficulties and opportunities. The findings contribute to AI ethics and project management by providing practical guidelines for AI adoption in construction. The study concludes that AI could significantly improve decision-making accuracy, speed, and efficiency, but acknowledges barriers such as high implementation costs, skill shortages, and data quality issues. This comprehensive analysis offers valuable insights into and recommendations for the integration of AI into construction project management.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish in the Journal agree to the following terms:- Authors retain copyright and grant the Journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this Journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the Journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this Journal.
