Share:


A framework to assist in the analysis of risks and rewards of adopting BIM for SMEs in the UK

    Thep Thanh Lam Affiliation
    ; Lamine Mahdjoubi Affiliation
    ; Jim Mason Affiliation

Abstract

Building information modelling (BIM) adoption amongst larger construction firms and innovators seems to be on the increase. However, there is evidence to suggest that small and medium sized enterprises (SMEs) are currently lag­ging behind and are losing out in winning publicly funded projects. Guidance and frameworks to assist SMEs to make an informed decision about BIM adoption are currently lacking. There has been no systematic effort to date to bring together the results of research in SMEs’ BIM adoption. Consequently, this paper seeks to bridge this gap and provide a conceptual framework to give a theoretical foundation to the study of brokering risks and rewards in the adoption of BIM for project delivery. This framework is comprehensive and includes trading off risks and rewards associated with several criteria, such as stage of involvement, project value, funding, and the procurement route chosen. The approach has been validated by a representative sample of BIM users and the findings of the validation are also presented. The findings of the framework validation reveal that early design stage, project size between £5 m and £50 m, private fund­ing, and integrated project delivery procurement are the best opportunities that enable SMEs to maximise the benefits and minimise the risks, when adopting BIM.


First published online: 15 May 2017

Keyword : BIM, risk, reward, SMEs, involvement phase, project value, source of funding, procurement route

How to Cite
Lam, T. T., Mahdjoubi, L., & Mason, J. (2017). A framework to assist in the analysis of risks and rewards of adopting BIM for SMEs in the UK. Journal of Civil Engineering and Management, 23(6), 740-752. https://doi.org/10.3846/13923730.2017.1281840
Published in Issue
Jun 22, 2017
Abstract Views
221
PDF Downloads
185
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.