Using relative importance index method for developing risk map in oil and gas construction projects

The objective of this research is to classify risk factors and their ranking in terms of their probability and impact on construction projects in the oil and gas sector, to test the relationship between the causes and effects of risk factors and then develop the risk map to facilitate the planning of risk response strategies. To achieve this objective, researchers invited practitioners and engineers who are comprising a statistically representative sample of oil and gas sector population to joining a structured questionnaire survey. A total of fifty-one (51) factors were short-listed to be made part of the questionnaire survey. The survey was conducted with 357 participants of construction project teams as a sampling of populations from all oil and gas sectors in Yemen. The relative importance index (RII) method was applied to prioritize the project risk factors. RII data were used to develop a risk map for oil and gas construction projects. Correlation coefficient and reliability tests also carried out to know the relationship between risk factors and check the validity of the research. The reliability test of the questionnaire was 0.974 for the cause of risks and 0.81 for the effects, which considered very high value. RII analysis and risk map shown the most critical risk factors effected on project success. There is a significant contribution expected from this research, especially for companies operating in the oil and gas and other organizations that plan to invest in this field, in addition to expected benefits for the governments and researchers in this field due to lack of research in this field

A new perspective on the relationship between the construction industry performance and the economy outcome- a literature review

The attempts to analyze the relationship between the construction industry and economic growth have integrated many different methods. The process has become to be perceived as “construction economics” analysis. It is conceptualized as a procedure where construction industries outcomes implement increasingly more relevant for nation’s development benefits throughout mostly economic interdependencies that are emphasized as financial sources. Concurring with the present-day standards for affirming an industry, in considerably most facets of analysis result interpreted on a solely economic aspect which is not a conspicuous and significant indicator for construction industry initiates through its resolution outcome. Whereas proceed competently and developed directions from scholars or experts are the determinants of success that emerge due to reviews of relevant practical and research inferences. Literature for analysis on output in the construction industry within the economics aspect is further inscribed in detail. Consequently, relocating the ideology used to examine construction activates implications on development augmentation and shifts the schemes for classifying construction output in the numerous conservative analytic techniques towards more functional delineation. Considering and optimize more relevant details in the systematic process of quantifying the construction value analysis will implicate a reflected actual and detailed results of industrial or enterprise entities on both theoretical and empirical perception for construction economics

The Current Risk Management Practices and Knowledge in the Construction Industry

Construction is a critical sector of any economy in terms of value production, labor, and contributing to the gross national product. Managing risk is a relatively young area in Yemen’s construction sector, but it is gaining traction as building activity and competition rise. Construction firms mitigate risk by using a variety of risk management methods. Therefore, there is a need to assess these procedures in order to detect shortcomings. This research aims to establish the existing risk management strategies used in Yemeni building projects. Survey questionnaires were used to collect data. Respondents were drawn from Yemeni construction businesses. Risk management is not executed systematically, intentionally, or continuously, and most firms’ risk management procedures are reactive, semipermanent, informal, and unstructured, with no or few dedicated resources to address risks. This strategy is inconsistent with generally accepted risk management principles. Nonetheless, the findings suggest a general understanding of risk management and a willingness to learn from previous errors. The study of the findings suggests that risk identification approaches such as judgment and historical data are employed for risk analysis, and that the industry typically attempts to avoid or transfer risks in Yemeni building projects. The results shed light on the shortcomings of Yemen’s project management practices. To guarantee that construction projects obtain maximum value for money, project managers of big construction businesses in Yemen need a strong understanding of and training in globally accepted systematic risk management procedures. Finally, this study can help future stakeholders determine how to work together to manage risk

Impacts and response strategies of the COVID-19 pandemic on the construction industry using structural equation modeling

The COVID-19 pandemic is one of the most serious global health crises. It has had a massive impact on the global workforce and workplaces, causing enormous changes in the working environment and raising concerns among organizations. Due to the pandemic, the construction industry has faced more challenges in delivering projects on time and within budget. This study aims to determine the relationship between the impacts and response strategies of COVID-19 in Sri Lankan construction projects. A systematic literature review and semi-structured interviews with industry professionals identified twelve COVID-19 impacts and twenty-two response strategies needed to mitigate the impacts. A structured questionnaire survey was then conducted with Sri Lankan construction professionals. The gathered data were analyzed using the Kruskal–Wallis test, exploratory factor analysis (EFA), and partial least-squares structural equation modeling (PLS-SEM). A model and six hypotheses were developed to explain the impact and strategy. The results revealed that it is necessary to focus on the impacts related to the project, develop the necessary strategies from a financial point of view, and supply the necessary materials and equipment. During COVID-19, organizational management and information exchange should be enhanced, along with a project’s workforce and its provision. The study findings could aid industry professionals and policymakers in comprehending the pandemic and developing strategies to mitigate the effects of COVID-19 on Sri Lankan construction projects

Effected factors on standard measurement method adoption in construction projects using SEM approach

Various factors affect the standard method of measurement adoption in civil construction projects, especially in developing countries such as Malaysia. Hence, this study investigates the relationship between affected factors towards standard adoption using the SEM approach. As a case study, this study focused on quantity surveyors working at a consulting firm in Selangor, Malaysia. This study identifies the effect of standard measuring technique adoption in Malaysian building projects that have a beneficial impact. The factors research model is the first stage in determining the reasons for using the most recent standard measuring technique in civil engineering construction projects and explaining the link between the barrier factors and standard adoption. The information was gathered using a questionnaire survey sent to participants at construction firms that used the standard measurement method. The PLS-SEM approach was used by SmartPLS 3 software to construct and assess a hierarchical model to assess variables and their effects on measuring method adoption. The findings revealed that 17 barrier factor indicators had a significant impact on adopting the standard assessment technique. The coefficient of determination (R2 value) of 0.307 represents the proportion of variance in the dependent variable that one or more predictor variables can explain. Furthermore, the conceptual model’s predictive significance value Q2 is 0.156 greater than zero, indicating that it can predict endogenous latent components. The measured effect size (f2) between the barrier factors (exogenous latent) and the adoption of the model’s standard (endogenous latent) was 0.443, indicating that the developed model had significant explanatory power to represent the relationship among the variables of the factors and the effect on measurement method adoption. There is a need to improve the methods and increase the driver elements described in this study to promote the adoption of standard measurement in construction projects, which impacts the adoption of the standard method of measuring. In the future, researchers can start from this study to compare the situation in Malaysia with developed countries to discover shortcomings and develop a framework for measurement factors that can be applied

Risk Management Assessment in Oil and Gas Construction Projects Using Structural Equation Modeling (PLS-SEM)

Oil and gas construction projects are of great importance to support and facilitate the process of operation and production. However, these projects usually face chronic risks that lead to time overrun, cost overrun, and poor quality, affecting the projects’ success. Hence, this study focused on identifying, classifying, and modeling the risk factors that have negative effects on the success of construction projects in Yemen. The data were collected through a structured questionnaire. Statistical analysis, relative important index method, and probability impact matrix analysis were carried out to classify and rank the risk factors. The partial least squares path modeling or partial least squares structural equation modeling (PLS-PM, PLS-SEM) is a method for structural equation modeling that allows an estimation of complex cause–effect relationships in path models with latent variables. 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. The results showed that the goodness of fit index of the model is 0.638. The developed model was deemed to fit because the analysis result of the coefficient of determination test (R2) of the model 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. The most impacted internal risk categories include project management, feasibility study design, and resource material availability. The main external risk elements include political, economic, and security considerations. The created risk factor model explained the influence of risk factors on the success of construction projects effectively, according to statistical and expert validation tests

Collaboration and Risk in Building Information Modelling (BIM): A Systematic Literature Review

Building information modelling (BIM) has become increasingly popular in construction projects in recent years. Simultaneously, project management has received more attention from academics and practitioners worldwide. Many studies have suggested that perceiving collaboration and risk are critical for successful construction project management. This study investigates the current status and future trends in building information modeling (BIM) literature from the Web of Science database. This review systematically uses bibliometric and systematic literature review (SLR) methods through co-occurrence and co-citation analysis. First, 650 academic documents were retrieved from the Web of Science database. Then, co-occurrence and co-citation analyses were performed along with network visualization to examine research interconnections’ patterns. As a result, relevant keywords, productive authors, and important journals have been highlighted. The prominent research topics within the literature on building information modelling focus on the following topics: collaborative in BIM, integration of BIM, GIS and Internet of Things (IoT), barriers to the integration of BIM, sustainability and BIM, and risk assessment and uncertainty. Finally, the potential research directions are developing towards digital twin technology, integration of BIM and AI, and Augmented Reality (AR) and BIM. The presented findings of only 88 articles discuss the collaboration and risk issue in BIM for the construction industry and thus confirms the need for more studies on this topic to enhance the chances of successfully building information modelling projects. The review focuses only on the academic documents retrieved from the Web of Science database, thus restricting the coverage of the reviewed literature relating to building information modelling collaboration and risk

Study on Evacuation Behavior of Urban Underground Complex in Fire Emergency Based on System Dynamics

During a fire evacuation, long lateral evacuation distances, large crowds waiting for evacuation at the same level, and easily panicked populations are common. This research aimed to look into the large-scale evacuation behavior of urban underground complexes with limited evacuation and egress during a fire. A simplified model for large-scale group evacuation of urban subsurface complexes was constructed using system dynamics theory. The Vensim software was used for quantitative simulation. The model could represent the typical phenomenon of group evacuation behaviors, such as quick or slow, under seven operating situations with total initial numbers of 350, 400, 450, 500, 1000, 2000, and 4000. The results of an analysis of critical affecting factors show “total initial number” and “panic state” during a large-scale group evacuation: a large beginning population will result in a rapid reduction in system evacuation capability, delaying the completion of the evacuation process significantly; meanwhile, if the level of panic is deficient, the system’s evacuation efficiency will remain low for an extended period, making it difficult to evacuate trapped persons promptly. According to the findings, the developed system dynamics model, which combines the advantages of a continuous model with the advantages of a discrete model, is very accurate. At the same time, we should emphasize the importance of the evacuation guide and reinforce the fire education and behavior drills for the building’s workers. This research presents a simplified model for the evacuation of large groups of people from metropolitan underground complexes. Furthermore, the findings may give theoretical support for the development of rules and safety management practices

Collaboration and risk in Building information modelling (BIM): A systematic literature review

Building information modelling (BIM) has become increasingly popular in construction projects in recent years. Simultaneously, project management has received more attention from academics and practitioners worldwide. Many studies have suggested that perceiving collaboration and risk are critical for successful construction project management. This study investigates the current status and future trends in building information modeling (BIM) literature from the Web of Science database. This review systematically uses bibliometric and systematic literature review (SLR) methods through co-occurrence and co-citation analysis. First, 650 academic documents were retrieved from the Web of Science database. Then, co-occurrence and co-citation analyses were performed along with network visualization to examine research interconnections’ patterns. As a result, relevant keywords, productive authors, and important journals have been highlighted. The prominent research topics within the literature on building information modelling focus on the following topics: collaborative in BIM, integration of BIM, GIS and Internet of Things (IoT), barriers to the integration of BIM, sustainability and BIM, and risk assessment and uncertainty. Finally, the potential research directions are developing towards digital twin technology, integration of BIM and AI, and Augmented Reality (AR) and BIM. The presented findings of only 88 articles discuss the collaboration and risk issue in BIM for the construction industry and thus confirms the need for more studies on this topic to enhance the chances of successfully building information modelling projects. The review focuses only on the academic documents retrieved from the Web of Science database, thus restricting the coverage of the reviewed literature relating to building information modelling collaboration and risk