Forecasting Change in Dynamic Risk Factors: A Missing Link in the Risk Management Process?

2013 ◽  
Author(s):  
Kevin Douglas
2021 ◽  
Vol 14 (2) ◽  
pp. 91-101
Author(s):  
Noor Aletby ◽  
Hafeth Ibrahim

Construction projects in Iraq face many dangers that cause exceeding the estimated cost of the project and not completing the project on time, and since the risk management process in construction projects is of great importance in controlling and reducing the impact of risks in construction projects, so it is necessary to identify these risks and evaluate them correctly in order to increase accuracy and the health of the subsequent stages of the risk management process in construction projects. This paper aims to identify the most important risks in construction projects in Iraq and to conduct a qualitative assessment of the identified risks and arrange them according to their importance. The researcher adopted the questionnaire method as a tool to determine the risks and used the technique of probability and effect matrix to conduct the qualitative assessment of the identified risks. The study found that there are 48 risk factors that constitute the most dangerous factor in construction projects in Iraq, and 10 of the determining factors were within the high level of risk, and at the forefront of which was the inability of the owner to finance the project.


2011 ◽  
Vol 162 (4) ◽  
pp. 307-324
Author(s):  
Maciej GÓRSKI ◽  
Dariusz SKORUPKA

The article describes the life cycle of a project and a construction investment process. Using the knowledge areas of project management methodologies, the authors focus on the elements of the risk management process. One of the main points of analyses was the selected methods of identifying risk factors. The focus was on the versatility, disadvantages, advantages and results of these methods for their use during a construction project.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
I Wayan Muka ◽  
Agung Wibowo

Abstract This research identifies risk sources, identifies risk factors, identifies the level of danger, identifies the level of vulnerability, identifies the level of capacity and determines risk priorities. Data collection was carried out through interviews and filling out questionnaires by resource persons involved in property development in the tourism area of Nusa Dua Resort ITDC Bali Province. The results showed that the risk factors that receive priority to be continuously mitigated and monitored are: interest rate and inflation risk, design risk, land maturation risk, and development financing risk. The level of risk in the development of the Nusa Dua Resort area is in the acceptable category so that it is feasible to build. The risk management process in this research can be applied to property development projects to help interested parties make investment decisions.


Author(s):  
Sabihah Saaidin ◽  
Intan Rohani Endut ◽  
Siti Akmar Abu Samah ◽  
Ahmad Ruslan Mohd Rizduan ◽  
Nur Nabihah Abd Razak

Design and Build (DB) has been classified as the most risky project due to the complexities and uniqueness of the project itself. Appropriate identification, analyzing, controlling and monitoring for the project risk are required to minimize the risk in DB projects. It is essential that all parties play an important role in minimizing risk inherent in design and build projects. Therefore, this study has been carried out to conduct risk assessment on design and build projects by the comparison of contractors, consultants and owners perceptions. To achieve the objective, the survey questionnaire was distributed among contractor, consultant and owner, that were directly involved in design and build projects. A total of 128 useable questionnaires were received and analyzed using mean ranking, Kruskal-Wallis and Mann-Whitney Test. The result of these analyses shows that the contractors, consultants and owners have the same insight in risk factors presented namely: “client financial capability” and “inadequate cash flow by contractor”. There are no significant differences in between all parties except “bureaucracy in government agencies” and “inflation”. This study helps to increase understanding of contractors and owners on the importance of implementing risk management process at early stage of the projects.


2016 ◽  
Vol 4 (16) ◽  
pp. 1-408 ◽  
Author(s):  
Jeremy W Coid ◽  
Simone Ullrich ◽  
Constantinos Kallis ◽  
Mark Freestone ◽  
Rafael Gonzalez ◽  
...  

BackgroundMental health professionals increasingly carry out risk assessments to prevent future violence by their patients. However, there are problems with accuracy and these assessments do not always translate into successful risk management.ObjectivesOur aim was to improve the accuracy of assessment and identify risk factors that are causal to be targeted by clinicians to ensure good risk management. Our objectives were to investigate key risks at the population level, construct new static and dynamic instruments, test validity and construct new models of risk management using Bayesian networks.Methods and resultsWe utilised existing data sets from two national and commissioned a survey to identify risk factors at the population level. We confirmed that certain mental health factors previously thought to convey risk were important in future assessments and excluded others from subsequent parts of the study. Using a first-episode psychosis cohort, we constructed a risk assessment instrument for men and women and showed important sex differences in pathways to violence. We included a 1-year follow-up of patients discharged from medium secure services and validated a previously developed risk assessment guide, the Medium Security Recidivism Assessment Guide (MSRAG). We found that it is essential to combine ratings from static instruments such as the MSRAG with dynamic risk factors. Static levels of risk have important modifying effects on dynamic risk factors for their effects on violence and we further demonstrated this using a sample of released prisoners to construct risk assessment instruments for violence, robbery, drugs and acquisitive convictions. We constructed a preliminary instrument including dynamic risk measures and validated this in a second large data set of released prisoners. Finally, we incorporated findings from the follow-up of psychiatric patients discharged from medium secure services and two samples of released prisoners to construct Bayesian models to guide clinicians in risk management.ConclusionsRisk factors for violence identified at the population level, including paranoid delusions and anxiety disorder, should be integrated in risk assessments together with established high-risk psychiatric morbidity such as substance misuse and antisocial personality disorder. The incorporation of dynamic factors resulted in improved accuracy, especially when combined in assessments using actuarial measures to obtain levels of risk using static factors. It is important to continue developing dynamic risk and protective measures with the aim of identifying factors that are causally related to violence. Only causal factors should be targeted in violence prevention interventions. Bayesian networks show considerable promise in developing software for clinicians to identify targets for intervention in the field. The Bayesian models developed in this programme are at the prototypical stage and require further programmer development into applications for use on tablets. These should be further tested in the field and then compared with structured professional judgement in a randomised controlled trial in terms of their effectiveness in preventing future violence.FundingThe National Institute for Health Research Programme Grants for Applied Research programme.


2016 ◽  
Vol 23 (1) ◽  
pp. 3-18 ◽  
Author(s):  
L. F. Kuhle ◽  
E. Schlinzig ◽  
G. Kaiser ◽  
T. Amelung ◽  
A. Konrad ◽  
...  

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