A Decision Support System for Evaluating Success Factors of Projects in the Oil and Gas Industry
Oil and gas (O&G) projects have a high social and economic impact in many countries. This study aims to identify the success factors in the O&G industry and to present a framework for evaluating the projects in an uncertain environment. In this study, 197 indicators are identified from a lit...
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Veröffentlicht in: | Mathematical problems in engineering 2022-11, Vol.2022, p.1-18 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Oil and gas (O&G) projects have a high social and economic impact in many countries. This study aims to identify the success factors in the O&G industry and to present a framework for evaluating the projects in an uncertain environment. In this study, 197 indicators are identified from a literature review and summarized to 34 indicators. Exploratory factor analysis (EFA) was performed, and seven main factors have been identified as success factors of O&G projects. Confirmatory factor analysis (CFA) confirmed the validity of the measurement model. A two-step fuzzy inference system is proposed to present an evaluation framework for assessing the performance of O&G projects. The hybrid framework was applied for the assessment of five Iranian O&G projects. |
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ISSN: | 1024-123X 1563-5147 |
DOI: | 10.1155/2022/6358562 |