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Collaborative Building Information Modelling (BIM): Insights from Behavioural Economics and Incentive Theory

Baddeley, Michelle; Chang, Chen-Yu; (2015) Collaborative Building Information Modelling (BIM): Insights from Behavioural Economics and Incentive Theory. Royal Institution of Chartered Surveyors (RICS): London, UK.

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Abstract

Building Information Modelling (BIM) offers rich opportunities for using information technologies to manage and co-ordinate projects more effectively. BIM technologies have been developed primarily as a solution to information and co-ordination problems. Collaborative working has the potential to leverage social relationships and interactions, decreasing conflicts and opportunism within teams and throughout supply chains. Future versions of Collaborative BIM might be able to combine the advantages of both, significantly reducing project costs and improving supply chain efficiency. This report outlines findings from a research project exploring the potential and pitfalls of collaboration and matching these with an analysis of BIM. Using interviews and online surveys, novel insights from behavioural economics and incentive theory are applied to investigations of collaborative working and the potential of BIM as toolkits, not only for improving information flows, but also for enabling collaborative working practices, particularly for lower tiers of supply chains where small and medium sized enterprises (SMEs) are strongly represented.

Type: Report
Title: Collaborative Building Information Modelling (BIM): Insights from Behavioural Economics and Incentive Theory
Publisher version: http://www.rics.org/uk/knowledge/research/research...
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
URI: https://discovery-pp.ucl.ac.uk/id/eprint/1462294
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