Building Information Modelling (BIM) Adoption and Project Delivery Efficiency Among Selected Counties in Kenya
DOI:
https://doi.org/10.65150/EP-jmrr/V2E5/2026-09Keywords:
Building Information Modelling, Project Delivery Efficiency, Digital Transformation, Construction Industry, Technology InfrastructureAbstract
This study examined the effect of Building Information Modelling (BIM) adoption on project delivery efficiency in the construction industry within the Nairobi Metropolitan Region, Kenya. Although BIM has become a globally recognized approach for improving construction project performance, its adoption in Kenya has remained limited and fragmented. The study focused on five key dimensions of BIM adoption: awareness and knowledge, technology infrastructure, perceived benefits, collaboration and information sharing, and organizational adoption. A descriptive research design was adopted, and systematic probability sampling was used to select respondents from five counties within the Nairobi Metropolitan Region. From the target population, a sample size of 384 respondents was determined using statistical sampling formulas for large populations. Primary data were collected through structured questionnaires containing both open-ended and closed-ended questions. Quantitative data were analyzed using descriptive statistics, correlation analysis, and multiple regression techniques. A pilot study involving 38 respondents was conducted to assess the validity and reliability of the research instruments. The findings revealed that all the examined BIM dimensions had positive and statistically significant effects on project delivery efficiency. The study established that BIM improved cost control, time management, quality outcomes, stakeholder coordination, and decision-making efficiency through enhanced collaboration and reduced project rework. However, challenges such as high software acquisition costs and the absence of a national BIM policy framework hindered wider implementation. The study concluded that successful BIM adoption requires strong organizational support, technological readiness, and enabling policy frameworks. It recommended development of a national BIM regulatory framework, integration of BIM into public procurement systems, and increased investment in technical training programs.
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Copyright (c) 2026 Erick Odhiambo Okello, Patrick Mutua Kimaku, Eunice Mutisya (Author)

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