Skip to the content

Building information modelling: Literature review on model to determine the level of uptake by the organisation

Haron, AT, Marshall-Ponting, AJ and Aouad, G 2010, Building information modelling: Literature review on model to determine the level of uptake by the organisation , in: CIB World Building Congress 2010, 10th-13th May 2010, Salford Quays, Salford, U.K..

[img]
Preview
PDF - Submitted Version
Download (400kB) | Preview
    [img] Microsoft Word - Submitted Version
    Restricted to Repository staff only

    Download (980kB)

      Abstract

      Building Information Modelling has been recognised as one of the Information Technology/Information Systems that could assist construction delivery in achieving Integrated Practice. However, the level of uptake currently varies between one organisation to another and has raised the need to determine whether the uptake is moving towards integrated practice or not. Through a literature review, this paper discussed a few models that that could be used to determine the level of uptake and they are CMMI, (PM)², SPICE, BEACON, VERDICT, i-CMM and BIMMi. This paper concludes that VERDICT, i-CMM and BIMMi can be used to determine the level of uptake. The selection of the model, however, depends on the purpose and area of evaluation.

      Item Type: Conference or Workshop Item (Paper)
      Themes: Built and Human Environment
      Schools: Colleges and Schools > College of Science & Technology > School of the Built Environment > Urban Quality Research Centre (UQRC)
      Colleges and Schools > College of Science & Technology > School of the Built Environment
      Journal or Publication Title: Proceedings of the CIB World Building Congress 2010
      Refereed: Yes
      Depositing User: Dr Amanda Marshall-Ponting
      Date Deposited: 11 Oct 2011 15:52
      Last Modified: 20 Aug 2013 18:00
      URI: http://usir.salford.ac.uk/id/eprint/16622

      Actions (login required)

      Edit record (repository staff only)

      No Altmetrics available

      Downloads per month over past year

      View more statistics