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Journal article

Integrated construction supply chain design and delivery solutions

13 Jul 2012
Description

This study describes the development of a decision framework to support multi-disciplinary information and knowledge management model which focuses on integrated design and delivery solutions for all construction supply chain actors. The framework was developed within the context of two national information technology research projects in Australia. The first study used diffusion theory to explain the barriers and enablers to future adoption of advanced information technology solutions such as building information modelling (BIM). A grounded theory methodology was deployed and a pathways model for innovative information technology diffusion accommodating diverse patterns of adoption and different levels of expertize was developed. The second study built on the findings of the first study but specifically focussed on innovators, early and late adopters of BIM and the development of a decision framework towards advanced collaborative platform solutions. This study summarizes the empirical results of the previous studies. The core of the decision framework is the creation, use and ownership of building information sub-models and integrated models. The decision framework relies on holistic collaborative design management. Design expertise is diffused and can be found in various locations along the construction supply chain within project teams. A wide definition of design is considered from conceptual to developed to detailed design. The recent development to the decision model offers much potential as the early upstream decisions are often made in a creative, collaborative and uncertain environment. However, decision making needs to balance both a reductionist and exploratory creative empowerment approach. Shared team expertise and competency and team mental models are explored as a fundamental requirement to collaborative BIM. New skills in interdisciplinarity are discussed as an implication of future construction industry collaborative platforms.

Publication Details
Identifiers: 
DOI: 
10.1080/17452007.2012.684451
Volume: 
9
Issue: 
3
Pagination: 
135-157
Access Rights Type: 
Language: 
License Type: 
All Rights Reserved
Peer Reviewed: 
Yes
Published year only: 
2012
13
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