Adamu, I I; Okanlawon, T T; Oyewobi, L O; Shittu, A A and Jimoh, R A (2026) Revolutionising construction safety: Benefits of harnessing artificial intelligence tools for dynamic monitoring of safety compliance on construction projects in Nigeria. International Journal of Building Pathology and Adaptation, 44(1), pp. 241-265. ISSN 2398-4708
Abstract
Purpose – This paper evaluates the benefits of harnessing artificial intelligence (AI) tools for safety compliance on construction projects in Nigeria. Design/methodology/approach – This study employed a specialised approach by combining qualitative and quantitative approach. The study carried out a brief systematic literature review (SLR) to identify the variables of the study. These variables were prepared in a questionnaire which was distributed among professionals within the Nigerian construction sector using purposive sampling. A total of 140 questionnaires were retrieved. The collected data were analysed using Relative Importance Index (RII), Ginni's Mean (GM) and exploratory factor analysis (EFA). Findings – The analysis revealed that all the identified benefits hold considerable importance, with an average RII of 0.86, with real-time monitoring as the most prominent advantage. However, using the GM which was 0.861, the study identified "mitigation of hazards on worksites" as the stationary benefit of AI in safety compliance. Research limitations/implications – The study was conducted exclusively within Nigeria's Federal Capital Territory, using a cross-sectional survey approach. Practical implications – The results will be valuable for professionals and practitioners in the Nigerian construction sector, as they will acquire insights into the potential advantages of utilising AI tools for monitoring of safety compliance on construction projects. Originality/value – The study adopted a robust approach by identifying the stationary benefit using the GM in combination with RII and EFA.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | artificial intelligence; construction hazards; ginni's mean; real-time monitoring; safety compliance; worksite hazards |
| Index terms: | systematic literature review, compliance, artificial intelligence tool, monitoring, practitioner, construction project, exploratory factor analysis, questionnaire, Nigeria, relative importance index, mitigation, construction safety, purposive sampling, survey, artificial intelligence, construction sector, methodology |
| Subjects: | industry analysis, environmental health, research evaluation and metrics, production management, data collection methods, financial risk, health safety and environment, risk assessment, artificial intelligence, statistical analysis, Geography, research methods, control systems, practitioner |
| Topics: | Roles and Professions, Health and Safety, Research Practice, Project Management, Cost Management, Geographical Context, Sustainability, Site Management, Digital Applications, Risk Management |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here