ArticleScientific reports2026
Mitigating obstructions to attain successful application and implementation of building information modeling (BIM) in residential construction projects' lifecycle.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
The effective integration of Building Information Modeling has become essential for improving coordination, efficiency, and lifecycle performance in construction projects. However, despite its global diffusion, BIM adoption in residential construction within developing countries remains constrained by multiple implementation challenges. This paper investigates the critical barriers influencing BIM integration and examines how overcoming these barriers enhances lifecycle success across the design, construction, and operation phases. A conceptual framework grounded in the Technology Acceptance Model and socio technical systems theory was developed and empirically tested using data collected from 166 construction professionals. Structural Equation Modeling based on partial least squares was employed to analyze the hypothesized relationships. The results identify four primary categories of BIM implementation barriers, namely behavioral, managerial, technical, and operational factors, with behavioral and managerial dimensions exerting the strongest influence. The structural model confirms that mitigating these barriers significantly improves overall project lifecycle performance. Beyond its regional context, the paper provides a transferable framework for understanding digital innovation adoption in project based environments and offers strategic guidance for policymakers and industry stakeholders in developing countries seeking to accelerate digital transformation in residential construction. The findings contribute to both BIM adoption literature and broader digital transformation research by demonstrating that successful implementation requires alignment across technological capability, organizational readiness, and human behavioral factors.
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