Abstracts – Browse Results
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Abdollahipour, S (2013) Multi-parameter bidding in highway construction and rehabilitation projects, Unpublished PhD Thesis, , Oklahoma State University.
Alroomi, A S (2013) Integrative framework for sustainable development of the cost estimating profession, Unpublished PhD Thesis, , Oklahoma State University.
Brown, B H J (1974) An econometric forecasting model for a segment of the construction market, Unpublished PhD Thesis, , Oklahoma State University.
Duffy, G A (2009) Linear scheduling of pipeline construction projects with varying production rates, Unpublished PhD Thesis, , Oklahoma State University.
Eldin, N N (1987) Methodology for project management control in the construction industry, Unpublished PhD Thesis, , Oklahoma State University.
Ghulman, B A (2000) Predicting construction cost growth in ODOT's paving projects using information available at the bidding time, Unpublished PhD Thesis, , Oklahoma State University.
Hajji, A M (2013) Development of a productivity-based economic, energy, environmental model for heavy duty diesel construction equipment, Unpublished PhD Thesis, , Oklahoma State University.
Johnson, L R (1969) A competitive strategy model for highway construction proposals, Unpublished PhD Thesis, , Oklahoma State University.
Karimi, B (2018) Evaluation of emissions reduction strategies for heavy duty diesel construction equipment, Unpublished PhD Thesis, , Oklahoma State University.
Kim, J (2022) A multimodal approach to improve fire safety on construction sites, Unpublished PhD Thesis, , Oklahoma State University.
King-Lewis, A (2020) Diversity and inclusion of women in the construction industry, Unpublished PhD Thesis, , Oklahoma State University.
- Type: Thesis
- Keywords: women in construction; bias; economic growth; failure; gender; workforce; women; employment; organizational factors
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/2533302370
- Abstract:
The construction industry has been growing for many years and is expected to continue expanding over the next decade. However, it has experienced a concurrent “widespread and significant shortage” in workers over the past two decades, specifically among project management and skilled positions. One of the most glaring disparities in the construction workforce is the industry’s failure to recruit and retain women. Construction has long been considered a “masculine” profession and is still classified as a non-traditional occupation for women by the U. S. Department of Labor, which is reflected in historical employment statistics. Although increasingly more women have found employment in the construction industry since the 1980s, this growth is not substantial and the proportion of women in the industry has not meaningfully changed. The consequences of a construction labor shortage at a national level are a significant risk to economic growth. Thus, further exploration of how to effectively enhance women’s inclusion in the construction industry is warranted. The primary objective of this dissertation research is to identify critical intervention points and opportunities for fostering the inclusion of women in the construction industry. This dissertation used three quantitative surveys as the primary data source and utilized a number of statistical techniques to achieve its objective. The first study describes the personal attributes of women in construction and organizational factors of their workplaces that encourage retention, or persistence, in the industry. The second study determines the extent to which different types of implicit gender bias occur within the construction workplace, while the third study examines gender bias within construction-related academic programs and its relationship to students’ self-concept. This dissertation contributes to the overall body of knowledge by providing the first quantitative evidence of women’s experiences of gender bias and persistence in the construction industry. The results of this dissertation can be used by academic programs and industry leaders to increase the number and proportion of women working in construction to meet current and projected workforce demands.
Lee, B-H (2011) Forecasting wheat yield and quality conditional on weather information and estimating construction costs of agricultural facilities, Unpublished PhD Thesis, , Oklahoma State University.
Lusby, A K (2003) The effect of increased public investment in transportation infrastructure on oklahoma's economic development, Unpublished PhD Thesis, , Oklahoma State University.
Miller, R H (1973) Life cycle system model for estimating construction equipment ownership costs, Unpublished PhD Thesis, , Oklahoma State University.
Rainer, R K (1968) Predicting productivity of one or two elevators for construction of high-rise buildings, Unpublished PhD Thesis, , Oklahoma State University.
Shararah, H H (1981) Evaluation of wall construction techniques based upon economical factors influencing labor and materials, Unpublished PhD Thesis, , Oklahoma State University.
Spencer, G R (1987) Integration of cost estimating with critical path scheduling, Unpublished PhD Thesis, , Oklahoma State University.
Syachrani, S (2010) Advanced sewer asset management using dynamic deterioration models, Unpublished PhD Thesis, , Oklahoma State University.
Tamimi, M F (2022) Reliability and sensitivity analysis of civil and marine structures using machine-learning-assisted simulation, Unpublished PhD Thesis, , Oklahoma State University.
Trost, S M (1998) A quantitative model for predicting the accuracy of early cost estimates for construction projects in the process industry, Unpublished PhD Thesis, , Oklahoma State University.
Zeitoun, A A (1992) Evaluation of cost and schedule growth trends during construction, Unpublished PhD Thesis, , Oklahoma State University.