Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/18924
Title: Critical Success Factors of the Intention-To-Use Building Information Modelling (BIM) in the Nigerian Construction Industry
Authors: Isa, Suleiman
Anifowose, Opeyemi Maroof
Keywords: Building Information Modelling
Adoption
Built Environment Professionals
Critical Success Factors
Issue Date: 2022
Publisher: African Scholar Journal of Built Env. & Geological Research
Citation: Isa, S., & Anifowose, O. M. (2022). Critical Success Factors of the Intention-To-Use Building Information Modelling (BIM) in the Nigerian Construction Industry, African Scholar Journal of Built Env. & Geological Research (JBEGR-4), 24(4), 119-130.
Abstract: The use of technology in the Nigerian construction industry has continued to draw the interest of researchers particularly in the area of BIM. This study aims to assess the critical success factors of the intention to use BIM. The study adopted a quantitative research approach which include the use of a questionnaire. The population of the study include construction professionals registered with Federal Inland Revenue Service (FIRS) which is 4,195. The Kothari sample size formula was applied to calculate the sample size of the study (352 professionals). The questionnaire was then served to the professionals in the population randomly and a total of 156 questionnaires representing a 44% response rate were retrieved. The data collected was analyzed using a mean item score. The study revealed the top five critical success factors to include; Training and learning (MS = 4.12; SD = 0.96; p < 0.05), Functionality (MS = 4.11; SD = 1.08; p < 0.05), 3D visualization, data sharing and bim platform access (MS = 4.11; SD = 0.80; p < 0.05), Ease of use and adoption (MS = 4.11; SD = 0.77; p < 0.05), and Standardization (product and process) (MS = 4.06; SD = 0.80; p < 0.05). This study would serve as a theoretical foundation for future studies and as well assist construction industry stakeholders to develop appropriate policies to improve BIM adoption in Nigeria.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/18924
ISSN: 2196-1789
Appears in Collections:Quantity Surveying

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