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Title:	Structural modelling of risk factors affecting oil and gas construction projects success
Authors:	Mukhtar Abdo Ali Kassem (P89090)
Supervisor:	Muhamad Azry Khoiry, Dr.
Keywords:	Universiti Kebangsaan Malaysia -- Dissertations Dissertations, Academic -- Malaysia Petroleum industry and trade Structural frames -- Models Risk management
Issue Date:	18-Dec-2020
Description:	The oil and gas industry contributes significantly to the improvement of the socio-economic growth of any country. Construction projects in the oil and gas sector are of great importance to support and facilitate the process of operation and production, especially the construction of central production units of facilities, which is one of the giant infrastructure projects in Yemen. However, these projects usually face chronic risks that lead to time overrun, cost overrun, poor quality, and effect on project success. Of all these, project success is the main objective for any construction project globally, including Yemen. The failure to achieve the targeted objectives of the project results from various risk factors that need to be identified and classified for improving performance in the construction project. Hence, this study focused on identifying, classifying, and modeling the risk factors that have negative effects on the success of oil and gas construction projects in Yemen. The data were collected through a structured questionnaire, which was designed based on 61 risk factors found in the previous literature review. A pilot study was done based on the opinions of 30 participants on the oil and gas construction projects, and the results of the pilot study were validated by experts to improve the main questionnaire by reducing the risk factors to 51. The questionnaire survey was carried out among oil and gas production sectors in Yemen, including clients, contractors, and consultants. A total of 323 questionnaires were collected, of which 314 responses were found valid. Descriptive analysis, relative important index method, and probability impact matrix analysis were carried out to classify and rank the risk factors, which can also be used for oil and gas industrial purposes. partial least square structural equation model was developed based on thirteen main categories or constructs generated through risk factor analysis test for the internal and external risk factors, and the results showed that goodness of fit index of the model is 0.638. The developed model deemed fit because the analysis result of the coefficient of determination test (R2) of risk factors, affecting the success of oil and gas construction project was 0.720, which indicates the significant explanation of the developed model for the relationship between the causes of risks and their effects on the success of projects at a high rate. The findings from the model indicate that all categories have a significant effect on project success. The most significant affected categories in the internal risk factors are project management factors, feasibility study-design, and resources-material supply with a path coefficient value of 0.213, 0.197, and 0.186, respectively. While the most significant affected categories in the external risk factors are the political factors, and the country's economic and security factors with a path coefficient value of 0.236, 0.231, and 0.180, respectively. The developed model was validated statistically (using G power analysis), and the predictive relevancy values were 0.369, 0.590, and 0.527 for the effect of risk, internal and external risk factors. Statistical and experts' validation tests showed that the developed risk factor model had achieved substantial ability in explaining the effect of risk factors on the success of oil and gas construction projects.,Ph.D.
Pages:	271
Publisher:	UKM, Bangi
Appears in Collections:	Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina

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