Architecture

Permanent URI for this community

https://repository.lcu.edu.ng/handle/123456789/426
Architecture

Browse

Browsing Architecture by Subject "Awareness"

Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    Assessment of Building Information Modeling (BIM) Adoption in the Building Industry in Southwest Nigeria
    (Lead City University, Ibadan, 2024-12) Akeem Akinola ALAJE
    Building Information Modeling (BIM) is recognized globally as a technology that can enhance the efficiency of construction projects across design, construction, and maintenance. However, its adoption is lagging in many developing countries. Hence, this study examined BIM adoption in the Nigerian building industry with a view to enhance stakeholder collaboration. It adopted a cross-sectional survey in six cities of southwest Nigeria: Ikeja, Ibadan, Abeokuta, Akure, Ado-Ekiti, and Osogbo. The survey targeted four different building industry (Architectural, Structural Engineering, Quantity Surveying, and Building Contracting) firms. The questionnaire survey was conducted among the sampled 740 firms in the study area, with a return rate of 88.6%. The data obtained were analyzed using IBM- SPSS statistics for the descriptive, relative importance indexes, factor analysis, and Krustal- Wallis test. The result shows that the level of BIM adoption in the study area is low (32%) although the awareness level is high (72%). The respondents’ firms use BIM-compliant software across the various stages of project execution but it is predominant at the design stage (69%), followed by the construction stage (19%), and then the maintenance/operation stage (12%). The Kruskal–Wallis tests revealed that except for one (provision of training by employers) out of the ten identified critical success factor CSF and seven (out of 32) identified benefits; there is no statistically significant difference in the perceptions of the four firm types. Reduce Rework in Construction (RII = 0.976), Improve Project Quality (RII = 0.962), and Minimize Errors and Mistakes (RII = 0.956) are found to be most three BIM benefits. The factor analysis result grouped the 39 identified barriers into five major factors: human-factors group (21.50%), management-factors group (19.88%), technological-factors group (15.81%), project-factors group (10.70%), and external-factors group (9.86%). The study concludes that although the knowledge of Nigerian building industry firms on the BIM concept is moderate, the level of adoption is relatively low. It is thus recommended that BIM CSFs be strengthened. Keywords: Awareness, Adoption, Building Information Modelling (BIM), Nigerian building industry Word Count: 300