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Impact of Building Information Modelling on Construction Project Management: Evidence from a Mixed-Methods Survey of Professionals in Lagos State, Nigeria
Subject area: Science,Engineering and Technology · Area of research: Construction
Abstract
Building Information Modelling (BIM) is widely promoted as a means of improving construction project management, yet little is known about how professionals in Lagos State, Nigeria, assess its effect across several management dimensions at once. This study examined professionals’ assessments of the influence of BIM on project delivery time, cost management, quality management, and stakeholder communication and collaboration, and of the challenges constraining BIM adoption and utilisation. A mixed-methods design combined a structured five-point Likert questionnaire with 20 semi-structured interviews. All 176 BIM-experienced professionals in the purposively identified accessible population were targeted, and 160 valid questionnaires (90.9%) were analysed using descriptive statistics, Relative Importance Index (RII) and one-sample t-tests against the neutral midpoint; interviews were analysed thematically. Respondents rated BIM significantly above neutral on quality management (M = 4.144), communication and collaboration (M = 4.118), delivery time (M = 4.077) and cost management (M = 3.990), all p < .001. Within every dimension, planning- and design-stage benefits, such as early detection of design errors, activity sequencing and quantity take-off, were rated higher than final-outcome benefits, such as quality of completed work, reduction of completion delays and overall financial performance. Interviewees explained that BIM strengthens visibility and control but cannot offset funding, approval, market and supervision constraints. Shortage of skilled professionals (RII = 0.816) and the cost of software and hardware (RII = 0.811) were the leading barriers. The findings indicate that BIM’s perceived value in Lagos lies chiefly in preventive information management, and that realising it depends on competence, investment and institutional support. The perception-based, cross-sectional design limits causal inference.
Keywords
Building Information Modelling, construction project management, project performance, BIM adoption, mixed methods, Lagos State
References
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How to cite this paper
@article{1725066,
author = {Olusegun O. Olatunji, Akinwale O. Coker},
title = {Impact of Building Information Modelling on Construction Project Management: Evidence from a Mixed-Methods Survey of Professionals in Lagos State, Nigeria},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {5},
pages = {2426-2440},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1725066.pdf},
abstract = {Building Information Modelling (BIM) is widely promoted as a means of improving construction project management, yet little is known about how professionals in Lagos State, Nigeria, assess its effect across several management dimensions at once. This study examined professionals’ assessments of the influence of BIM on project delivery time, cost management, quality management, and stakeholder communication and collaboration, and of the challenges constraining BIM adoption and utilisation. A mixed-methods design combined a structured five-point Likert questionnaire with 20 semi-structured interviews. All 176 BIM-experienced professionals in the purposively identified accessible population were targeted, and 160 valid questionnaires (90.9%) were analysed using descriptive statistics, Relative Importance Index (RII) and one-sample t-tests against the neutral midpoint; interviews were analysed thematically. Respondents rated BIM significantly above neutral on quality management (M = 4.144), communication and collaboration (M = 4.118), delivery time (M = 4.077) and cost management (M = 3.990), all p < .001. Within every dimension, planning- and design-stage benefits, such as early detection of design errors, activity sequencing and quantity take-off, were rated higher than final-outcome benefits, such as quality of completed work, reduction of completion delays and overall financial performance. Interviewees explained that BIM strengthens visibility and control but cannot offset funding, approval, market and supervision constraints. Shortage of skilled professionals (RII = 0.816) and the cost of software and hardware (RII = 0.811) were the leading barriers. The findings indicate that BIM’s perceived value in Lagos lies chiefly in preventive information management, and that realising it depends on competence, investment and institutional support. The perception-based, cross-sectional design limits causal inference.},
keywords = {Building Information Modelling, construction project management, project performance, BIM adoption, mixed methods, Lagos State},
month = {November},
}