2017
DOI: 10.1016/j.ijproman.2017.01.010
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Project risk management: A deterministic quantitative technique for assessment and mitigation

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Cited by 100 publications
(69 citation statements)
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“…Therefore, there is a presence of stakeholder theory in this important project knowledge area, which is fundamental in assessing project performances. The influence of stakeholder theory in project risk management can be observed in the study of structured mechanisms to assess the risks associated with stakeholder management, as well as to design risk prevention and mitigation strategies [33].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, there is a presence of stakeholder theory in this important project knowledge area, which is fundamental in assessing project performances. The influence of stakeholder theory in project risk management can be observed in the study of structured mechanisms to assess the risks associated with stakeholder management, as well as to design risk prevention and mitigation strategies [33].…”
Section: Introductionmentioning
confidence: 99%
“…It extracts valuable information by analyzing original data. Usually, the weights of each index in this method are determined using mathematical calculations [26,27]. Therefore, it can reflect the importance of indexes' authenticity better in the comprehensive evaluation [28].…”
Section: Weight Determination By the Variation Coefficient Methodsmentioning
confidence: 99%
“…In [26], authors used a probabilistic fuzzy method and fuzzy IF-THEN rules for innovative project risk assessment while Rodríguez et al [27] employed a combination of Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy Inference System (FIS) for assessing risks of information technology projects. Muriana & Vizzini [28] proposed a deterministic technique for assessing and preventing project risks, with regard to cost, schedule, and quality at determined time steps, which are called WPS. the effect of seasonal type uncertainty (weather conditions) on some activities by means of Monte Carlo simulation is analyzed by Acebes et al [29].…”
Section: Methods For Assessment and Management Of Risk And Uncertaintymentioning
confidence: 99%