TY - JOUR
T1 - An empirical analysis of barriers to building information modelling (BIM) implementation in construction projects
T2 - evidence from the Chinese context
AU - Ma, Xiaozhi
AU - Darko, Amos
AU - Chan, Albert P.C.
AU - Wang, Rong
AU - Zhang, Boyu
N1 - Funding Information:
The authors would like to thank The Hong Kong Jockey Club and The Hong Kong Polytechnic University for funding this research. The authors wish to thank Prof. HUANG Qiang and Prof. CHENG Zhijun from China BIM Union for supporting the data collection in the survey. The authors wish to thank the anonymous reviewers for their constructive comments.
Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - Although building information modelling (BIM) applies widely in the architecture, engineering, and construction (AEC) industry, its systematic implementation in AEC projects still experiences challenges. While most previous studies have investigated general BIM implementation, the present study precisely focuses on the barriers to BIM implementation at the AEC project level and explores their sources in the Chinese project context. Based on a questionnaire survey with 166 valid responses from experienced BIM practitioners as empirical evidence from the Chinese construction context, the data were processed using descriptive statistical analysis, non-parametric analysis and principal component analysis. The results of the descriptive analysis classified 14 critical barriers. The international comparison of the top five barriers indicated that the most critical barriers were similar but ranked differently in different countries. The following principal component analysis revealed six underlying factors for all the barriers, which were experience and capabilities, technical conditions, system inertia, extra input, change of work routines, and implementation risks. The findings of this study may help the practitioners to understand BIM implementation barriers, allocate resources, and prioritize efforts in project practices. This study can also provide implications for BIM deployment and governance in the AEC industry.
AB - Although building information modelling (BIM) applies widely in the architecture, engineering, and construction (AEC) industry, its systematic implementation in AEC projects still experiences challenges. While most previous studies have investigated general BIM implementation, the present study precisely focuses on the barriers to BIM implementation at the AEC project level and explores their sources in the Chinese project context. Based on a questionnaire survey with 166 valid responses from experienced BIM practitioners as empirical evidence from the Chinese construction context, the data were processed using descriptive statistical analysis, non-parametric analysis and principal component analysis. The results of the descriptive analysis classified 14 critical barriers. The international comparison of the top five barriers indicated that the most critical barriers were similar but ranked differently in different countries. The following principal component analysis revealed six underlying factors for all the barriers, which were experience and capabilities, technical conditions, system inertia, extra input, change of work routines, and implementation risks. The findings of this study may help the practitioners to understand BIM implementation barriers, allocate resources, and prioritize efforts in project practices. This study can also provide implications for BIM deployment and governance in the AEC industry.
KW - AEC projects
KW - and construction (AEC)
KW - architecture
KW - BIM implementation
KW - Building information modelling (BIM)
KW - critical barriers
KW - engineering
UR - http://www.scopus.com/inward/record.url?scp=85095786940&partnerID=8YFLogxK
U2 - 10.1080/15623599.2020.1842961
DO - 10.1080/15623599.2020.1842961
M3 - Journal article
AN - SCOPUS:85095786940
SN - 1562-3599
JO - International Journal of Construction Management
JF - International Journal of Construction Management
ER -