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Abdenour, J I (2021) A cost estimation model for improving the budget estimates of industrial plant construction projects, Unpublished PhD Thesis, , The George Washington University.

Adoko, M T (2016) Developing a cost overrun predictive model for complex systems development projects, Unpublished PhD Thesis, , The George Washington University.

Alves, L F (2006) Stochastic approach to risk assessment of project finance structures under public private partnerships, Unpublished PhD Thesis, , The George Washington University.

Boyer, E J (2012) Building capacity for cross-sector collaboration: How transportation agencies develop skills and systems to manage public-private partnerships, Unpublished PhD Thesis, , The George Washington University.

Cho, S (2000) Sequential estimation and decision-making in project management: A Bayesian way and heuristic approaches, Unpublished PhD Thesis, , The George Washington University.

Farmer, C M (2018) Constructing program management offices for major defense acquisition programs: Factors to consider, Unpublished PhD Thesis, , The George Washington University.

Griffin, M G (2008) The lived experience of first line managers during planned organizational change: A phenomenological study of one firm in the residential construction industry, Unpublished PhD Thesis, , The George Washington University.

Innocent, M J F, Jr. (2018) Predicting military construction project time outcomes using data analytics, Unpublished PhD Thesis, , The George Washington University.

Kim, E (2000) A study on the effective implementation of earned value management methodology, Unpublished PhD Thesis, , The George Washington University.

Lounsbury, C R (1983) From craft to industry: The building process in North Carolina in the nineteenth century, Unpublished PhD Thesis, , The George Washington University.

Ngamthampunpol, D (2008) An assessment of safety management in the Thai construction industry, Unpublished PhD Thesis, , The George Washington University.

  • Type: Thesis
  • Keywords: population; private sector; commerce; government; safety; Thailand; frequency distribution; multiple regression; construction site; construction contractor
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/304645980
  • Abstract:
    Dangerous situations at construction sites should be a primary concern. Various situations cause many things to be lost, including both human life and funds. Thailand is a country that has been very active in the field of construction during the past ten years and construction continues at a rapid pace. Currently, no research mentions safety programs among businesses in the Thai construction industry. Therefore, this study, "An Assessment of Safety Management in the Thai Construction Industry," is an important addition. This study includes three objectives: (1) to examine the status of safety program management and assessment of safety programs in Thai construction industries, (2) to compare the assessments of safety programs in the Thai construction industry, using contractors with different sizes, levels of experience, conditions regarding work offers, types of business and various legal issues, and (3) to identify the factors affecting the assessment of safety programs in Thai construction industries. This research includes information gathered through surveys. The population used to collect data consists of building and housing construction companies in the Bangkok area that have registered with the Ministry of Commerce and are still operating. The sample population is four hundred enterprises, using a Multi-Stage Sampling Method. The data will be analyzed using descriptive statistics in order to explain the general characteristics of construction contractors and share information about the evaluation of safety programs. The study will look at frequency distribution and present information in terms of percentage. To test the research hypothesis, the researchers will test for factors that affect assessing safety programs using the Multiple Regression Statistic Method. The results have shown that most construction contractors in Thai industries site still do not have safety programs. There are three factors that affect the score of the safety program: (1) experience of less than three years, (2) work received only from the private sector, and (3) the government does not require the company to have a safety program. These relate to the scores of safety programs in Thai construction sites respectively. This relationship is opposite from the score of the safety program, using a statistical significance of .05.

Park, J (2015) Essays on the delivery of public infrastructure projects: Empirical analyses on transportation projects in Florida, Unpublished PhD Thesis, , The George Washington University.

Schulte, W D, Jr. (1999) The effect of international corporate strategies and information and communication technologies on competitive advantage and firm performance: An exploratory study of the international engineering, procurement and construction (IEPC) industry, Unpublished PhD Thesis, , The George Washington University.

Shamma, E M (1988) A dynamic model for the growth of construction firms, Unpublished PhD Thesis, , The George Washington University.

Taku, A M (2021) Predicting modular efficiency in oil and gas capital projects using multi-criteria decision analysis, Unpublished PhD Thesis, , The George Washington University.

Zhou, G (2021) Machine learning-based cost predictive model for better operating expenditure estimations of U.S. light rail transit projects, Unpublished PhD Thesis, , The George Washington University.