The results showed that the goodness of fit index of the model is 0.638. PLS-SEM was employed to analyze data collected from a questionnaire survey of 314 participants comprising the clients, contractors, and consultants working in oil and gas construction projects. That allows an estimation of complex causeвЂ“effect relationships in path models with latent variables. The partial least squares path modeling or partial least squares structural equation modeling (PLS-PM, PLS-SEM) is a method for structural equation modeling Statistical analysis, relative important index method, and probability impact matrix analysis were carried out to classify and rank the risk factors. The data were collected through a structured questionnaire. Hence, this study focused on identifying, classifying, and modeling the risk factors that have negative effects on the success of construction projects in Yemen. However, these projects usually face chronic risks that lead to time overrun, cost overrun, and poor quality, affecting the projectsвЂ™ success. Oil and gas construction projects are of great importance to support and facilitate the process of operation and production. The purpose of the risk analysis, such as monitoring economic and financial outcomes, verifying quality variation, or tracking time delays, may also serve as a criterion for determining the most effective risk management approaches to be used in the situation. Brainstorming Change Analysis (ChA) Checklist Interviews Delphi Method Expert Judgement Cause and Consequence Analysis Fuzzy Logic The Event Causal Factor Charting (ECFCh) The Expect Monetary Value (EMV) Failure Mode-Effects Analysis (FMEA) Hazard-Operability (HAZOP) The Fault Tree Analysis (FTA) Hazard Review (HR) Pareto Analysis (PA) Risk Breakdown Matrix (RBM) Monte Carlo Method The Risk Breakdown Structure (RBS) Probability and Impact Matrix Relative Importance Index (RII) Risk Index The Strengths-Weaknesses-Opportunities-Threats Furthermore, each step of the risk assessment requires a distinct amount of information and depth, necessitating the use of appropriate approaches.

Risk probability impact respond