PLS-SEM assessment of the impediments of robotics and automation deployment for effective construction health and safety

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Abstract

Purpose: The importance of robotics and automation (R&A) in delivering a safe built environment cannot be overemphasised. This is because R&A systems can execute a hazardous job function that the construction workforce may not execute. Based on this knowledge, this study aims to present the result of an assessment of the impediments to the deployment of R&A for a safe and healthy construction environment. Design/methodology/approach: This study adopted a post-positivist philosophical stance, using a quantitative research approach and a questionnaire administered to construction professionals in South Africa. The data gathered were analysed using frequency, percentage, mean item score, Kruskal–Wallis H-test, exploratory factor analysis and partial least square structural equation modelling (SEM). Findings: This study revealed that the impediments to the deployment of R&A could be grouped into: industry, technology, human and cost-related factors. However, SEM assessment showed that only the industry, human and cost-related factors would significantly impact attaining specific health and safety-related outcomes. Practical implications: The findings offer valuable benefits to construction organisations as the careful understanding of the identified impeding factors can help lead to better deployment of R&A and the attainment of its inherent safety benefits. Originality/value: This study attempts to fill the gap in the shortage of literature exploring the deployment of R&A for a safe construction environment, particularly in developing countries like South Africa, where such studies are non-existent. This paper, therefore, offers a theoretical backdrop for future works on R&A deployment, particularly in developing countries where such a study has not been explored.

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APA

Aghimien, D., Ikuabe, M., Aghimien, L. M., Aigbavboa, C., Ngcobo, N., & Yankah, J. (2024). PLS-SEM assessment of the impediments of robotics and automation deployment for effective construction health and safety. Journal of Facilities Management, 22(3), 458–478. https://doi.org/10.1108/JFM-04-2022-0037

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