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Assessment of the Adoption of Building Information Modelling (BIM) In Construction Industries in Nigeria: A Case Study of Abuja Metropolis

Volume 3, Issue 1, May-Jun 2024    |  Page 12-23  | PDF (1,014 kB)  |  Pub. Date: Jun 16, 2024

Author(s)

Asodike Nkiru Chigemezu1, Ezenwata Chidozie Jovita2 & Elamah Daniel3; 1,3Department of Building Technology, Federal Polytechnic, Oko; 3Department of Building Technology, Auchi Polytechnic, Auchi Edo state 

Abstract

This paper examines the adoption of Building Information Modelling (BIM) in Nigeria’s construction industries, specifically in the Abuja Metropolis. The study uses a quantitative approach and aims to assess the readiness of construction firms in Nigeria to adopt BIM. The target population includes Architects, Builders, Civil Engineers, and Quantity Surveyors working in the Federal Capital Development Authority (FCDA), Abuja. The population size is 127 professionals, with 127 registered under their respective professional bodies. Data was collected through a structured questionnaire, which was administered to 127 construction professionals in Abuja. The data was analyzed using descriptive statistical techniques, including frequency counts and percentages. The findings suggest that the readiness of construction firms in Nigeria for BIM adoption is crucial, and stakeholders’ awareness of BIM adoption is high. The paper also identifies barriers to BIM adoption in the Nigerian construction industry and suggests strategies to enhance stakeholders’ readiness. The study recommends enhancing BIM adoption by focusing on model-centric workflows, collaboration and data management, and integrated analysis as pre-requisites for setting up mechanisms for BIM adoption.

Keywords

Building; building information modelling; construction; construction industries

Cite this paper

Chigemezu, A. N., Jovita, E. C., Daniel, E. (2024), Assessment of the Adoption of Building Information Modelling (BIM) In Construction Industries in Nigeria: A Case Study of Abuja Metropolis, IRESPUB Journal of Natural & Applied Sciences. Volume 3, Issue 1, May-Jun 2024, Page 12-23

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