Enhancing construction site efficiency through artificial intelligence (AI)

Ruchit Parekh 1, * and Olivia Mitchell 2

1 Department of Engineering Management, Hofstra University, New York, USA.
2 Department of Civil Engineering, University of California, Berkeley, USA.
 
Review
International Journal of Science and Research Archive, 2024, 13(01), 1081–1092.
Article DOI: 10.30574/ijsra.2024.13.1.1778
Publication history: 
Received on 11 August 2024; revised on 17 September 2024; accepted on 20 September 2024
 
Abstract: 
Artificial Intelligence (AI) is profoundly impacting productivity and economic growth across various sectors. In Malaysia, challenges related to AI in construction include limited expertise, privacy concerns, and cultural barriers on construction sites. This research aims to pinpoint key factors that influence AI's effectiveness in enhancing construction site workflows, identify obstacles in improving workflow performance, and assess the relationships between primary factors affecting AI use and the main challenges faced. The study focuses on G7, a contractor company based in Johor Bahru, employing a quantitative method to achieve its goals. The research gathered insights from 226 Grade 7 contractors in Johor Bahru through questionnaires distributed via face-to-face meetings and online forms sent through WhatsApp and email. Out of the respondents, 101 (45%) provided responses. Data was analyzed using SPSS software, incorporating descriptive statistics, frequency counts, and cross-tabulations. The study revealed that the most frequently cited factors and challenges are risk management and limited AI expertise, respectively. The strongest correlation identified was between return on investment and slow electrical supply. These findings offer valuable guidance for contractors to enhance performance, mitigate risks, and boost efficiency. This study paves the way for more targeted interventions and strategic approaches to improve construction site workflows, ultimately benefiting industry stakeholders.
 
Keywords: 
Artificial Intelligence (AI); Contractor; Performance; Construction Site; Workflow
 
Full text article in PDF: 
 
Copyright information: 

Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0