2018
DOI: 10.1061/(asce)me.1943-5479.0000643
|View full text |Cite
|
Sign up to set email alerts
|

Effects of Risk Attitude and Controllability Assumption on Risk Ratings: Observational Study on International Construction Project Risk Assessment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

2
53
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 41 publications
(55 citation statements)
references
References 68 publications
2
53
0
Order By: Relevance
“…The assessment of project uncertainties and expected performance is subjective in that not all uncertainties and performance criteria can be quantified (Dikmen et al, 2018). Further, different stakeholders may have different preferences (Ruan et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations
“…The assessment of project uncertainties and expected performance is subjective in that not all uncertainties and performance criteria can be quantified (Dikmen et al, 2018). Further, different stakeholders may have different preferences (Ruan et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Ignoring the influence of risk attitude on project uncertainty and expected performance assessment can lead to overlooking critical risks and opportunities, and overestimating noncritical risks and opportunities, thereby selecting suboptimal strategies for managing project uncertainty. Related to this, Dikmen et al (2018) conducted a survey in order to investigate the impact of project managers’ risk attitude on risk assessment and controllability assumptions with respect to controlling different project risks. They found evidence of a moderate association between risk attitude and risk ratings assigned by project managers involved in international construction projects in Turkey.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…Bayesian Belief Network (BBN), a graphical framework for modeling uncertainty, incorporates a unique feature for capturing the interaction between elements (Wu et al, 2015;Zhang et al, 2014). BBN has been applied in various domains, including root cause analysis (Diallo et al, 2018;Wee et al, 2015), risk management (Dikmen et al, 2018;Zhang et al, 2014), and decision making (Pan et al, 2019;. The BBN has several advantages: (1) It can describe the probability relationship (causality) between variables combining the Bayesian probability theory with the graph theory; and (2) It can compute the probabilities with given evidence under different scenarios (Zhang et al, 2016).…”
Section: Introductionmentioning
confidence: 99%