Business drivers for building information modelling

Aranda-Mena, Guillermo, Chevez, Agustin, Crawford, John R., Wakefield, Ron, Froese, Thomas, Frazer, John H., Nielsen, David, & Gard, Stefan (2008) Business drivers for building information modelling.

[img] Published Version (PDF 2MB)
Available to QUT staff and students only | Request a copy from author

View at publisher


This report describes in detail a project aimed at providing a better understanding of the business drivers and barriers to the adoption of Building Information Modelling (BIM) in the Architecture Engineering and Construction (AEC) and facility management (FM) industry sectors.

The objectives of the project were to investigate the nature of economic, process and industry constaints to BIM adoption and then - if possible - to identify business strategies, and cost/benefit models that may support adoption of BIM/FM industry. The research was based on case studies from the property, construction and facility management sectors as well as other industries and interviews with business leaders and users of advanced applications of CAD in the industry.

Specific projects identified and studied included: • a prominent high-rise commercial redevelopment in central Melbourne ($300M project; 24 months time-frame – known as case-study “M1”); • a small, low-rise mixed-commercial development in inner Melbourne ($4M; 6 months - M2); • a medium-rise office redevelopment of an entire city block in central Sydney ($280M; 18 months - MB); • a large, innovative high-rise commercial/residential development in Hong Kong, involving a mix of local and international consultants ($300M; 36 months - B1); and • a characteristic government police and watch-house complex in rural Queensland ($10M; 12 months - B2) - The stakeholders were mostly Australian designers, engineers and builders (with a mixture of small and large firms). The results of the five detailed case studies showed that there are variations in the business case for BIM from one project to another, and no single, consistent business case could be produced. Never-the-less, the results offer significant value to organisations desiring to analyse their own business case for BIM implementation as follows: • The detailed report of each case study provides much information and opinion that will help readers make more informed predictions of their outcomes. • By comparing the results of all the case studies, the cross-case-study analysis evaluates the extent of agreement for the 47 theoretical propositions, indicating the degree of consensus around BIM business case issues. • Building upon the insight gained from the case studies and an international standard for structuring investment decisions for IT initiatives (ValIT), the report presents a framework that can be used to assemble business cases for future BIM implementation initiatives. Following the structure of the proposed business case framework, the theoretical propositions (TPs) developed for analysing the case studies were organized into the following nine groups: • Initiatives • Alignment Issues • Efficiency • Design Functionality • Collaboration • Other benefits • Resources/expenses • Risks • Assumptions/Constraints/Conditions

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 19414
Item Type: Report
Refereed: No
Additional Information: Permission to upload report to ePrints - viewable by QUT staff only - obtained from Peter Scuderi, Chief Operating Officer, Research & Commercialisation at CRC for Construction Innovation (Icon.Net Pty Ltd)on 2 April 2009
Keywords: Building information modelling, business drivers
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > OTHER TECHNOLOGY (109900) > Technology not elsewhere classified (109999)
Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > BUILDING (120200) > Building not elsewhere classified (120299)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Design
Copyright Owner: Icon.Net Pty Ltd
Copyright Statement: To the extent permitted by law, all rights are reserved and no part of this publication covered by copyright may be reproduced or copied in any form or by any means except with the written permission of Pty Ltd
Deposited On: 02 Apr 2009 23:26
Last Modified: 25 May 2016 05:48

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page