Building Information Modeling (BIM) has become extremely prominent in the construction industry in the past twenty years. It serves as a digital repository that can, when used to its fullest potential, combine all aspects of designing, building, and managing a structure in one place, alongside all the data produced in those processes. The construction industry has to date struggled to increase productivity alongside similar fields, such as the manufacturing industry, though the construction industry generally has far more stakeholders on one project than the manufacturing industry. Further, building designs are becoming more complex while project schedules are becoming tighter. As states look to better manage and develop their infrastructure in the most efficient manner possible, it is critical that all options to improve both project results and efficiency are considered. Organizations such as the International Standards Organization (ISO) and British Standards Institute (BSI) have created standards such as ISO19650 and PAS1192 to provide guidance for how to best implement BIM. This study begins with an extensive literature review to determine the current state of practice of BIM from an academic standpoint. Semi-structured interviews with industry experts on BIM from those working as academics, architects, contractors, clients, software vendors, and engineers are used to inform a two-round Delphi study. The Delphi study seeks to elaborate on the potentials and barriers of BIM, and to determine the consensus or lack thereof within the overall building industry with respect to BIM. The various industry sectors are found to have poor agreement on the potentials and barriers of BIM, but the potentials are found to outweigh the barriers, aligning with the industry’s increasing adoption of BIM since its creation 20 years ago.
| Identifer | oai:union.ndltd.org:UMASS/oai:scholarworks.umass.edu:masters_theses_2-2351 |
| Date | 09 August 2023 |
| Creators | Brooks, Kevin P |
| Publisher | ScholarWorks@UMass Amherst |
| Source Sets | University of Massachusetts, Amherst |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Masters Theses |
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