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Victoria University of Wellington

1. Russell, Kimberley. FRAGMENTED. Procurement for BIM.

Degree: 2019, Victoria University of Wellington

The construction industry is often referred to as being ‘unproductive’, where studies by both BRANZ and MBIE highlight the importance for the industry to adopt new technologies (Building information modelling ((BIM)) to help improve productivity levels. Although BIM implementation can increase productivity levels (through adoption of collaborative work processes), its Implementation is being negatively influenced by restrictive contractual frameworks (referred to as procurement), where projects are being delivered misaligned to the promised deliverable’s. The aim of this thesis was therefore to investigate the fragmentation that procurement selection can have on projects implementing BIM (with a primary focus on the New Zealand construction industry). To begin this investigation, literature was investigated where it was found that traditional procurement methods such as design bid build (DBB) and design build (DB) were ‘inadequate forms of procurement for projects implementing BIM processes’ due to their ‘fragmented nature, where all stages of the development of the building (design, construction, and operation) were not well integrated’ (the stages were separated). Due to this separation between project stages the collaboration and sharing of information (the basis of BIM) between consultants and contractors is reduced, ultimately impacting the success BIM can have within a project. Further within the literature review, new forms of innovative procurement were identified, where these new methods have the ability to better support projects implementing BIM due to the basis of the contract being formed on collaborative work processes. With this information sourced on the various procurement methods, an exploratory sequential methodology was developed to explore the selection of procurement within BIM projects’, as well as the success of these projects’ (where success was measured as projects meeting the triple constraint). This information was gathered within a questionnaire, and a case study, where the intent of this two step methodology was to validate questionnaire findings, whilst allowing for a more comprehensive understanding as to why these results were occurring. Results from the questionnaire found that 93% of projects’ were procured via traditional procurement methods, with DBB being the most common method within New Zealand, with a 61% implementation rate. Of all the data collected on projects’ within the questionnaire It was also identified that only 1 project within New Zealand (implementing an innovative procurement method) met all three aspects of the triple constraint. Although the projects’ procured through innovative methods were identified as being the most successful, key findings within this thesis was that innovative procurement methods are not appropriate on all projects within New Zealand, with this due to the small construction project size, and the cost required to set a project up through these methods being unable to be justified. Discussions with industry professionals identified that… Advisors/Committee Members: Sweet, Kevin, Howden, Jason, Sara, Brad.

Subjects/Keywords: BIM; Procurement; Triple constraint; Building information modelling

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APA (6th Edition):

Russell, K. (2019). FRAGMENTED. Procurement for BIM. (Masters Thesis). Victoria University of Wellington. Retrieved from

Chicago Manual of Style (16th Edition):

Russell, Kimberley. “FRAGMENTED. Procurement for BIM.” 2019. Masters Thesis, Victoria University of Wellington. Accessed August 10, 2020.

MLA Handbook (7th Edition):

Russell, Kimberley. “FRAGMENTED. Procurement for BIM.” 2019. Web. 10 Aug 2020.


Russell K. FRAGMENTED. Procurement for BIM. [Internet] [Masters thesis]. Victoria University of Wellington; 2019. [cited 2020 Aug 10]. Available from:

Council of Science Editors:

Russell K. FRAGMENTED. Procurement for BIM. [Masters Thesis]. Victoria University of Wellington; 2019. Available from: