Identifying key factors for building information modelling adoption in Singapore

被引:0
作者
Attarzadeh, Meghdad [1 ]
Nath, Tushar [1 ]
Tiong, Robert L. K. [1 ]
机构
[1] Nanyang Technological University (NTU), Singapore
来源
Proceedings of Institution of Civil Engineers: Management, Procurement and Law | 2015年 / 168卷 / 05期
关键词
Information technology; Infrastructure planning; Statistical analysis;
D O I
10.1680/jmapl.2015.15.00030
中图分类号
学科分类号
摘要
Building information modelling (BIM) enables firms in the architecture, engineering and construction (AEC) industry to transform the construction value chain into a technologically enhanced construction process. One of the fundamental concerns to emerge related to BIM adoption is how to implement BIM successfully. Thus, it is considered crucial to identify the key factors (KFs) that influence the success of BIM initiatives. This study is conducted to find the influence factors and also undertake an analysis in order to identify the KFs that would facilitate successful BIM adoption and implementation in Singapore. The research concluded that improved coordination, better accuracy in a faster timeframe, fewer on-site clashes and fewer change orders are the important benefits of BIM adoption. The research findings should help AEC firms to ensure the realisation of BIM adoption and implementation in the project life cycle. It should also help Singapore's government agencies to plan properly for supporting BIM adoption and implementation in the life cycle of construction projects.
引用
收藏
页码:220 / 231
页数:11
相关论文
共 28 条
[1]  
Integrated Project Delivery: A Guide, Version 1, (2007)
[2]  
Ang Y.Q., Benefits and ROI of BIM for Multi-Disciplinary Project Management, (2012)
[3]  
Arayici Y., Coates P., Koskela L., Et al., Technology adoption in the BIM implementation for lean architectural practice, Automation in Construction, 20, 2, pp. 189-195, (2011)
[4]  
Arayici Y., Coates P., Koskela L., Et al., BIM adoption and implementation for architectural practices, Structural Survey, 29, 1, pp. 7-25, (2011)
[5]  
Azhar S., Building Information Modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry, Leadership and Management in Engineering, 11, 3, pp. 241-252, (2011)
[6]  
CEO's message, Build Smart: A Construction Productivity Magazine, 2010, 1, (2010)
[7]  
CEO's message, Build Smart: A Construction Productivity Magazine, 2011, 9, (2011)
[8]  
CEO's message, Build Smart: A Construction Productivity Magazine, 2011, 4, (2011)
[9]  
CEO's message, Build Smart: A Construction Productivity Magazine, 2013, 13, (2013)
[10]  
Bynum P., Issa R., Olbina S., Building information modelling in support of sustainable design and construction, Journal of Construction Engineering and Management, 139, 1, pp. 24-34, (2013)