Building information modelling adoption for construction waste reduction in the construction industry of a developing country

Abstract

Purpose

This paper aims to present the result of an assessment of the potential effect of building information modelling (BIM) adoption on the reduction of construction waste (CW) from a developing country's perspective. This was done with a view to reducing the waste generated in construction projects particularly at the design and pre-contract stages.

Design/methodology/approach

The study adopted a post-positivism philosophical approach, which informed the use of a quantitative research design and a questionnaire as instrument for data collection. The data gathered from construction professionals in the Nigeria construction industry were analysed using an array of statistical tools such as frequency, percentage, Kruskal–Wallis H-test, Kendall's coefficient of concordance, chi-square and exploratory factors analysis.

Findings

The study revealed five major groups of factors causing CW at the design and pre-contract stages that can be avoided or minimised through BIM implementation. These are; (1) errors in design and documentation, (2) specification and quality factors, (3) estimating and site condition factors, (4) planning of work factors and (5) procurement related factors.

Practical implications

The findings of the study offer practical insight for industry participants on the need for BIM implementation to reduce CW by identifying the diverse areas responsible for these waste generation.

Originality/value

While there has been significant literature on BIM implementation, contributions on the effect of this technology in reducing waste generation particular at the design and pre-contract stages in developing countries has been almost non-existent. This study strives to fill in this gap by showcasing the major waste generating activities that can be avoided through the use of BIM.

Citation

Eze, E.C., Aghimien, D.O., Aigbavboa, C.O. and Sofolahan, O. (2022), "Building information modelling adoption for construction waste reduction in the construction industry of a developing country", Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-03-2022-0241