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Arias, S (2014) Engineer manual 385 effectiveness: A study of predictive analytics, Unpublished PhD Thesis, , Indiana State University.

Bradford, C W (2017) The impact of the systematic incorporation of tolerances on gypsum board installation, Unpublished PhD Thesis, , Indiana State University.

Bruce, R D (2008) A study of craft worker length of employment at select Missouri construction companies, Unpublished PhD Thesis, , Indiana State University.

Burns, T M (2007) The effect of selected request for information variables on steel fabrication outcomes, Unpublished PhD Thesis, , Indiana State University.

Chukwu, I (2018) Sustainability in the Nigerian construction industry: The feasibility of adopting green building rating system, Unpublished PhD Thesis, , Indiana State University.

Dorward, D R (2006) The effect of selected output modifications on facilitating the assessment of PDM schedules, Unpublished PhD Thesis, , Indiana State University.

Fee, S T (2005) Sustainable construction practices: Contractors' perceptions of awareness and participation, Unpublished PhD Thesis, , Indiana State University.

Graham, G (2016) Factors influencing and risk associated with the use of drones by specialty construction companies in the United States of America, Unpublished PhD Thesis, , Indiana State University.

Gravitt, D D (2004) The development and validation of a bar code based residential construction quality inspection procedure, Unpublished PhD Thesis, , Indiana State University.

Haddad, B (2007) Risk management in the contractual language in the construction industry: The effect of exculpatory clauses on contractor bid price, Unpublished PhD Thesis, , Indiana State University.

Kamm, J D (2017) A study of technological change in the construction industry through understanding the importance of innovation, risk and stakeholder alignment in construction lending, Unpublished PhD Thesis, , Indiana State University.

Mutai, A (2009) Factors influencing the use of building information modeling (BIM) within leading construction firms in the United States of America, Unpublished PhD Thesis, , Indiana State University.

  • Type: Thesis
  • Keywords: liability; reliability; building information model; building information modeling; interoperability; investment; training; United States; factor analysis
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/304900580
  • Abstract:
    Although Building Information Modeling (BIM) technology is steadily being used within the architecture, engineering, and construction (AEC) industry, some aspects of the technology are still unfamiliar within the industry. In addition, as is often the case when new technologies are introduced, several problems associated with adaptation and implementations have surfaced. This is because BIM and the underlying collaborative approaches represent new and untested business concepts. In order to minimize these problems, a clear implementation strategy is required based on the key factors that influence the use of BIM technology. The purpose of this study was to investigate the factors that influence BIM use and assess relationships between these factors and the level of BIM use within leading construction fines in the United States. The study utilized an online survey which was sent to 236 firms focusing on over 80% general building. These firms were drawn from the top 400 contractors listed in the Engineering News Record (ENR) dated October 22, 2008. The statistical techniques of descriptive statistics, reliability analysis, factor analysis, and analysis of variance were used for data analysis. The research findings indicated that 12 factors influence the use of BIM technology: top management support, training, team BIM capability, BIM experience, job relevance, internal support, perceived technology difficulty, interoperability, cost, scope of work, liability, and delivery method. The ANOVA results revealed a variety of interrelationships between the identified factors based on respondent's positions, BIM experience, and company level of BIM use. The study conclusions reinforced the need for a coherent BIM adaptation strategy and supportive environment. This requires substantial top management support and investment in adequate BIM infrastructure and training including both software use and implications on related business processes. Specifically a collaborative approach is recommended in finding optimal solutions for identified factors based on a needs assessment exercise.

Ohrn, G (2009) The influence of job-order-contracting as a construction project delivery method on owner satisfaction, Unpublished PhD Thesis, , Indiana State University.

Okere, G O (2012) An investigative study of contract administration practices of general contractors on federal and state DOT projects, Unpublished PhD Thesis, , Indiana State University.

Onsarigo, L M (2016) Cost comparison of horizontal auger boring and open-cut construction methods for culvert installations, Unpublished PhD Thesis, , Indiana State University.

Patton, J R (2013) Task diminishment: Construction value loss due to sub-optimal task execution, Unpublished PhD Thesis, , Indiana State University.

Rich, F A (2020) Managing the wear of heavy construction equipment steel track undercarriage by soil sand content, Unpublished PhD Thesis, , Indiana State University.

Sauer, A D (2013) Sustainable building codes: How the perceptions of building code officials influence their intent to adopt the international green construction code, Unpublished PhD Thesis, , Indiana State University.