By a brief overview of the current world, which is a world of competition between organizations, we can discover that what makes companies and organizations outstrip each other in this competition is their ability to provide better products in a wider range and shorter More
By a brief overview of the current world, which is a world of competition between organizations, we can discover that what makes companies and organizations outstrip each other in this competition is their ability to provide better products in a wider range and shorter time and keep loyal customers of the organization.
In the current situation, projects are faced with crisis at any moment. The environment of the projects is highly variable and these uncertain conditions are more difficult for larger projects.Due to the nature of the project the risks always exist and the projects are threatened by not completing on time and with allocated costs.
Nowadays achieving excellence in organizations is an essential by which they can move in a more successful way.
Risk management is a way by which organizations can step toward excellence in a current competitive world.
In this research, by reviewing relevant literature, a list of Critical Success Factors (CSFs) is identified to implement risk management. Then these factors are distributed between experts to identify their effects and rate them. Lastly, a framework for the implementation of risk management in projects is provided by means of the final factors.
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Project Risk Management is a critical component of project management as risks that are not well-managed may lead to project failures. This study aims to classify Iranian’s Construction Projects key risks by using Structural Equation Modeling (SEM) technique. At f More
Project Risk Management is a critical component of project management as risks that are not well-managed may lead to project failures. This study aims to classify Iranian’s Construction Projects key risks by using Structural Equation Modeling (SEM) technique. At first, based on a comprehensive literature review 28 indicators were identified to recognize the construction projects risk. Thereafter, a questionnaire was distributed amongst the experts of construction industry, and finally 239 questionnaires were collected. In the next step, the model of construction projects risks was estimated by using of Confirmatory Factor Analysis (CFA) which the indicators explained five latent variables (Environmental, Quality, Cost, Time and Safety related factors). The results presented that priorities of the indicator of “Construction Projects Risks” are “Time Risk”, “Cost Risk”, “Quality Risk”, “Environment Risk” and “Safety Risk”, respectively. Furthermore, the results of the research provided a comprehensive model for the construction projects risks, which it can be used by scholars and project managers.
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Population growth and the subsequent surge in urbanization has drastically increased the number of construction projects in metropolitan cities implementation and management of which may involve numerous ambiguous and unknown issues or risks that can impact project obje More
Population growth and the subsequent surge in urbanization has drastically increased the number of construction projects in metropolitan cities implementation and management of which may involve numerous ambiguous and unknown issues or risks that can impact project objectives depending on the specific project characteristics and municipal conditions. Thus, the purpose of the current applied descriptive correlational survey was to examine the extent to which components of risk failure structure can impact the goals of municipal construction projects including citizen satisfaction, cost, time, quality, range and safety using Bayesian Belief Network (BBN). The purposeful research sample comprised 45 managers, deputies, relevant officials and experts in Isfahan municipality who were consulted to identify the project risk dimensions during 2016 and 2018. A questionnaire was employed to collect the research data which were further analyzed using the project risk structure breakdown to classify and identify risks and matrices. Partial Least Squares Method of Structural Equation Modelling (SEM) was employed to validate the questionnaire data. The simultaneous impact of risk dimensions on project goals was investigated using probable cause and effect modeling based on Bayesian Belief Model. The findings verified the significant positive impact of project risk components on the project objectives. The innovative characteristic of the current study was the integration of SEM and Bayesian BBN and application of error state analysis technique and risk effects in risk failure structure which can establish certainty concerning the analysis of risk dimensions and their relationship with precision of priorities in risk management process.
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