Integrating Artificial Intelligence tools into construction project decision-making: Lessons from early 2023 implementations

Shakeeb Sultan *

Bachelor of Business Administration and Management, Washington University of Science and Technology, USA.
 
Review
International Journal of Science and Research Archive, 2023, 10(01), 1274-1284.
Article DOI: 10.30574/ijsra.2023.10.1.0910
Publication history: 
Received on 20 September 2023; revised on 24 October 2023; accepted on 28 October 2023
 
Abstract: 
This paper discusses the adoption of Artificial Intelligence (AI) tools for construction project decision-making and examines their implementation in early 2023. The study assesses the usefulness of AI technologies, i.e., predictive analytics and machine learning, to improve project planning, risk management, and resource allocation. Data on AI tool adoption and its outcomes were collected through a mixed-methods approach, comprising case studies and interviews with industry professionals. The most significant findings indicate that AI greatly enhanced decision-making efficiency, reduced project expenses and delays, but also identified technical barriers and resistance to change. The research identifies important lessons for construction professionals who intend to incorporate AI tools into future construction projects. The findings highlight how AI can revolutionize construction and decision-making, presenting the industry with opportunities and challenges.
 
Keywords: 
Artificial Intelligence; Construction Projects; Decision-Making; AI Tools; Predictive Analytics; Machine Learning; Resource Allocation; Project Planning; Cost Reduction; Industry Challenges.
 
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0