TY - JOUR
T1 - Understanding and facilitating BIM adoption in the AEC industry
AU - Gu, Ning
AU - London, Kerry
N1 - Funding Information:
STATSBYGG (2006). Experiences in Development and Use of a Digital Building Information Model (BIM) According to IFC Standards from the Building Project of Tromsø University College (HITOS) after Completed Full Conceptual Design Phase (report), R&D project no. 11251 Pilot project, Tromsø University College (HITOS) for Testing IFC.
Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010/12
Y1 - 2010/12
N2 - Building Information Modelling (BIM) is one of the important areas in current Virtual Reality (VR) research. VR research considers not only the technological development, a very important part of the research also concerns the application of the technologies and their adoption by the practices. This paper firstly presents an analysis of the current state of BIM in the Architecture, Engineering and Construction (AEC) industry and a re-assessment of its role and potential contribution in the near future. The paper analyses the readiness of the industry with respect to the (1) product, (2) processes and (3) people, to position BIM adoption in terms of current status and expectations across disciplines. The findings indicate that there were both technical and non-technical issues that need consideration. The evidence also suggests that there are varying levels of adoption and therefore the need for a specific tool to facilitate BIM adoption. The study revealed that even the market leaders who are early technology adopters in the Australian industry in many cases have varying degrees of practical experiential knowledge of BIM and hence at times different understandings and different levels of confidence regarding the future diffusion of BIM technology throughout the industry. There have been numerous factors affecting BIM adoption, which can be grouped into two main areas: technical tool functional requirements and needs, and non-technical strategic issues. There are varying levels of adoption and understanding within countries - from discipline to discipline and client to client. There are also varying levels of adoption from country to country and although many researchers and practitioners espouse collaborative working environments there are still challenges to be met in many parts of the world, particularly, in relation to a fully integrated collaborative multidisciplinary mode of operation. The challenges for the research community lie not only in addressing the technical solutions or addressing human centred issues but it is also in creating the enabling environment of a decision framework, which integrates both the technical and non-technical challenges. The need for guidance on where to start, what tools are available and how to work through the legal, procurement and cultural challenges was evidenced in the exploratory study. Therefore the Collaborative BIM Decision Framework has been initiated to facilitate the BIM adoption in the AEC industry, based upon these industry concerns, which consists of four interrelated key elements. The findings are drawn from a major research project funded by the Australian Cooperative Research Centre for Construction Innovation (CRC-CI), with a focus on the Australian context.
AB - Building Information Modelling (BIM) is one of the important areas in current Virtual Reality (VR) research. VR research considers not only the technological development, a very important part of the research also concerns the application of the technologies and their adoption by the practices. This paper firstly presents an analysis of the current state of BIM in the Architecture, Engineering and Construction (AEC) industry and a re-assessment of its role and potential contribution in the near future. The paper analyses the readiness of the industry with respect to the (1) product, (2) processes and (3) people, to position BIM adoption in terms of current status and expectations across disciplines. The findings indicate that there were both technical and non-technical issues that need consideration. The evidence also suggests that there are varying levels of adoption and therefore the need for a specific tool to facilitate BIM adoption. The study revealed that even the market leaders who are early technology adopters in the Australian industry in many cases have varying degrees of practical experiential knowledge of BIM and hence at times different understandings and different levels of confidence regarding the future diffusion of BIM technology throughout the industry. There have been numerous factors affecting BIM adoption, which can be grouped into two main areas: technical tool functional requirements and needs, and non-technical strategic issues. There are varying levels of adoption and understanding within countries - from discipline to discipline and client to client. There are also varying levels of adoption from country to country and although many researchers and practitioners espouse collaborative working environments there are still challenges to be met in many parts of the world, particularly, in relation to a fully integrated collaborative multidisciplinary mode of operation. The challenges for the research community lie not only in addressing the technical solutions or addressing human centred issues but it is also in creating the enabling environment of a decision framework, which integrates both the technical and non-technical challenges. The need for guidance on where to start, what tools are available and how to work through the legal, procurement and cultural challenges was evidenced in the exploratory study. Therefore the Collaborative BIM Decision Framework has been initiated to facilitate the BIM adoption in the AEC industry, based upon these industry concerns, which consists of four interrelated key elements. The findings are drawn from a major research project funded by the Australian Cooperative Research Centre for Construction Innovation (CRC-CI), with a focus on the Australian context.
KW - Building Information Modelling
KW - Collaborative BIM Decision Framework
KW - Focused group interviews
KW - Industry adoption
UR - http://www.scopus.com/inward/record.url?scp=78149283543&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2010.09.002
DO - 10.1016/j.autcon.2010.09.002
M3 - Article
AN - SCOPUS:78149283543
SN - 0926-5805
VL - 19
SP - 988
EP - 999
JO - Automation in Construction
JF - Automation in Construction
IS - 8
ER -