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Abstract

This study examined the categorisation of Building Information Modelling (BIM) adopters for health and safety (H&S) management within small and medium construction enterprises (SMCEs) using Diffusion of Innovation (DOI) theory. The research aims to identify adopter categories in the context of BIM adoption for construction safety management. A simple random sampling method was adopted to collect data from 303 respondents representing SMCEs in Gauteng, South Africa. Five adopter categories were analysed: innovators, early adopters, early majority, late majority, and laggards. Factor loadings and Cronbach’s alpha coefficients were computed to assess construct validity and internal consistency. The results revealed clear adopter categories with validity and reliability. Innovators demonstrated the highest level of readiness (mean = 3.97) to adopt BIM for H&S, followed by early adopters (mean = 3.85) and the early majority (mean = 3.76), while laggards demonstrated a neutral response (mean = 3.35). All factors exhibited good reliability, with coefficients ranging from 0.81 to 0.91. Factor loadings exceeded 0.91, and eigenvalues were above 1.68, confirming the robustness of the measurement model. The findings provide practical insights to practitioners and policymakers for tailoring BIM adoption strategies, enabling targeted interventions and training to improve safety outcomes in SMCE projects.

Keywords

Adopter Categories, Building Information Modelling, Construction Industry, Diffusion of Innovation, Health and Safety

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