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Ahmad, S, Soetanto, R and Goodier, C (2019) Lean approach in precast concrete component production. Built Environment Project and Asset Management, 9(03), 457–70.

Hamzeh, F, Rached, F, Hraoui, Y, Karam, A J, Malaeb, Z, El Asmar, M and Abbas, Y (2019) Integrated project delivery as an enabler for collaboration: a Middle East perspective. Built Environment Project and Asset Management, 9(03), 334–47.

Karunaratne, T L W and De Silva, N (2019) Demand-side energy retrofit potential in existing office buildings. Built Environment Project and Asset Management, 9(03), 426–39.

Ke, Y, Ling, F Y, Ning, Y and Zhang, Z (2019) Managing relationships in large public projects: comparative study of China and Singapore. Built Environment Project and Asset Management, 9(03), 348–63.

Kissi, E, Agyekum, K, Baiden, B K, Tannor, R A, Asamoah, G E and Andam, E T (2019) Impact of project monitoring and evaluation practices on construction project success criteria in Ghana. Built Environment Project and Asset Management, 9(03), 364–82.

Oyewole, E O and Dada, J O (2019) Training gaps in the adoption of building information modelling by Nigerian construction professionals. Built Environment Project and Asset Management, 9(03), 399–411.

  • Type: Journal Article
  • Keywords: Nigeria; Construction professionals; Construction projects; Gap analysis; Building information modelling; Training gap;
  • ISBN/ISSN: 2044-124X
  • URL: https://doi.org/10.1108/BEPAM-10-2017-0090
  • Abstract:
    The opportunities that the building information modeling (BIM) mode of project delivery presents warrant the need for the construction professionals to be adequately trained on BIM technology and processes. The purpose of this paper is to assess the training gaps that exist between the perceived and expected knowledge of BIM practice among construction professionals in Nigeria. Design/methodology/approach The study was carried out through a structured questionnaire survey administered on identifying training gaps among registered Nigerian construction professionals toward BIM adoption. Relevant information on the perceived and expected BIM mode of practices was systematically collected from 212 participants who are familiar with BIM concepts. The data generated were analyzed using descriptive statistics and gap analysis. Findings Gap analysis was employed in determining the significance of BIM training gap for various practices among the construction professionals. The most significant gaps in BIM practice with gap analysis value>1 are the project review technique and clash detection for architectural practice. Among quantity surveyors, cost estimating, preparation of bills of quantities and project budgeting are the practice areas where there are significant training gaps in adopting BIM. For engineering practices, the gap analysis reveals a significant training gap in design creation and coordination, as-built-modeling, clash detection and space management. Research limitations/implications The research is limited to the perception of the respondents on actual and ideal BIM practices, not considering the process workflow, facility requirements and other issues that revolve round BIM adoption and implementation. It is also limited to professionals in the industry, and further studies will be appropriate to address these limitations. Practical implications The study reveals that there is a great need to meet the training gaps for BIM adoption in ensuring efficiency of construction project delivery. Originality/value The gaps that exist between the actual and expected BIM training were statistically established.

Sackey, E, Tuuli, M and Dainty, A (2019) Expansive learning in contemporary construction organisations. Built Environment Project and Asset Management, 9(03), 383–98.

Zahed, S E, Shahooei, S, Farooghi, F, Shahandashti, M and Ardekani, S (2019) Life-cycle cost analysis of a short-haul underground freight transportation system for the DFW Airport. Built Environment Project and Asset Management, 9(03), 440–56.

Zarghami, S A, Gunawan, I and Schultmann, F (2019) Entropy of centrality values for topological vulnerability analysis of water distribution networks. Built Environment Project and Asset Management, 9(03), 412–25.