Abstracts – Browse Results
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Al-Shabbani, Z (2019) Improving safety performance of highway maintenance crews through pre-task safety toolbox talks, Unpublished PhD Thesis, , University of Kentucky.
Catalina, A J (2016) Development of a statistical theory-based capital cost estimating methodology for light rail transit corridor evaluation under varying alignment characteristics, Unpublished PhD Thesis, , University of Kentucky.
Dadi, G B (2013) Applying cognitive principles to the delivery of engineering information by different mediums, Unpublished PhD Thesis, , University of Kentucky.
Dai, J (2006) A latent analysis and prototype system to manage jobsite factors impacting construction labor productivity, Unpublished PhD Thesis, , University of Kentucky.
Dyer, B D (2010) Construction industry productivity: Examining the effects of omitted variable bias in the census construction price index models, Unpublished PhD Thesis, , University of Kentucky.
Jazayeri, E (2019) Hazard recognition and risk perception among union electricians, Unpublished PhD Thesis, , University of Kentucky.
Karimi, H (2017) Quantitative analysis of the impact of craft labor availability on construction project performance, Unpublished PhD Thesis, , University of Kentucky.
Liu, H (2017) The impact of owner practices and procedures on construction project safety performance, Unpublished PhD Thesis, , University of Kentucky.
Uddin, M M (2011) Robust statistical methods for non-normal quality assurance data analysis in transportation projects, Unpublished PhD Thesis, , University of Kentucky.
Yasin, M F (2005) A taxonomy and analysis of the relationship between changes in material technology and construction productivity, Unpublished PhD Thesis, , University of Kentucky.
Zhai, D (2010) The relationship between information technology and construction productivity, Unpublished PhD Thesis, , University of Kentucky.
- Type: Thesis
- Keywords: culture; construction project; automation; building information model; building information modeling; information technology; integration; productivity; United States; factor analysis
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/915124923
- Abstract:
Over the past decades, information technology has been impacting industries, economics, the way of life and even the culture throughout the world. Productivity has been attracting much attention as an important indicator of economics, and numerous researchers have investigated the relationship between information technology and productivity. Construction is one of the largest industries in the United States, but little research has been conducted to investigate the relationship between information technology and construction productivity. The major objective of this dissertation is to determine the degree (if any) to which information technology usage, specifically the use of information technology to automate and integrate construction project work functions, is related to construction productivity. First, the author analyzed the relationship between information technology and construction productivity on a national-level basis. Second, the author compared the relationship between information technology’ contribution to value added growth and productivity in the construction industry with other industries. Third, the author performed a series of statistical analyses to investigate the relationship between construction productivity and automation and integration applications at the construction project level. Based on the above results, the author developed a matrix to map the relationship between technology usage on each work function and productivity in the concrete, structural steel, electrical and piping trades. In addition, a technology index developed from technology usage on all of the work functions were used to investigate the general effect of information technology usage on a project level. In order to leverage the relative importance of technology on each work function, regression analyses were performed to obtain a further understanding of the relationship. Factor analysis was also applied to identify the latent factors and simplify the patterns of relationships among the different work functions. This analysis could provide construction companies an indication about information technology usage priority and deployment in their work. Finally, a detailed examination of how Building Information Modeling, representing a current significant advancement of information technology usage on many construction projects, impacts the performance of a specific construction project is performed through a case example. KEYWORDS: Construction, Productivity, Information Technology, Relationship, Automation and Integration