Building information modelling (BIM) adoption is vital to the productivity and competitive nature of the construction sector. However, BIM adoptions have not been…
Building information modelling (BIM) adoption is vital to the productivity and competitive nature of the construction sector. However, BIM adoptions have not been generally embraced by many architecture, engineering and construction (AEC) firms, particularly in developing countries. Moreover, studies that investigate the important drivers to BIM adoptions among construction professionals through quantitative approach are limited. The purpose of this study is to address the aforementioned gap.
This study involves a literature review, a pilot study and a questionnaire survey. The primary data were carried out using structured questionnaires distributed to four different BIM adopter AEC firms. These comprised architectural firms, facility management firms, quantity surveying firms and structural engineering firms in Lagos, Nigeria. Data obtained were analysed using mean score, standard deviation, Kruskal–Wallis test and factor analysis.
The study identified 23 drivers to BIM adoption, and the relative importance of the identified drivers was gauged from each selected BIM adopter AEC firm category. The result of the Kruskal–Wallis test showed that there is no statistically significant difference in the perceptions of the four selected AEC firms in the mean ranking of the identified 23 drivers to BIM adoption. The findings from factor analysis categorized the identified drivers into two major factors to include cost and time savings, improved communication, and BIM awareness and government supports.
The study empirically identifies important drivers to BIM adoption that will be useful for construction stakeholders to formulate strategies to adopt the full implementation of BIM in the AEC firms of Nigeria and other developing countries. Also, this study is important as it identifies, analyses and compares the drivers to BIM adoptions from four different AEC firms, thereby providing robust and more reliable findings.
The study findings will provide information to policymakers and construction stakeholders to make policy recommendations that are capable of positively influencing the widespread adoption of BIM in AEC firms in particular and the construction industry at large. This study is important because the studies that comparatively and empirically analyzed BIM drivers in AEC firms are rare, particularly in developing countries. Hence, this study could be used to benchmark future studies in developing countries.
BIM has much potential to improve the effectiveness of construction works with respect to design, construction and maintenance. However, many Architecture, Engineering…
BIM has much potential to improve the effectiveness of construction works with respect to design, construction and maintenance. However, many Architecture, Engineering, and Construction (AEC) firms are still lagging in the adoption and implementation of BIM in both developing and developed countries. The purpose of this study is to assess the barriers to BIM implementation, and examine the ways forward to improve BIM adoption within the Nigerian AEC firms.
A comprehensive literature review and questionnaire survey were used in the study. The survey targeted four different AEC firms. These include architectural firms, facility management firms, quantity surveying firms and structural engineering firms in Lagos, Nigeria. The data obtained were analyzed using mean score, standard deviation, Kruskal–Wallis test, and factor analysis.
The study identified 20 barriers to BIM implementation and identified ten ways forward to improve BIM adoption in AEC firms, particularly in Nigeria. The relative importance of both the identified barriers and the ways forward were gauged. The Kruskal–Wallis tests revealed that except for one (out of 20) identified barriers, and one (out of 10) identified ways forward; there is no statistical significant difference in the perceptions of four different AEC firms. The factor analysis result grouped the 20 identified barriers into three major factors to include: weak top management support and BIM environment related issues; cost of BIM software and training issues; and incompatibility, legal, contractual, and culture related issues.
The significance of the study cannot be over-emphasized due to BIM relevance to construction stakeholders and researchers at large.
The study findings would inform the decisions of the construction stakeholders to make some policy recommendations capable of positively influencing the full BIM implementation in AEC firms.