Book review: Project Risk Management: Processes, Techniques and Insights. Chris Chapman and Stephen Ward, Wiley, Chichester, 1996, ISBN 0-471-95804-2, 322pp, price £24.95 (hardback).

1998 ◽  
Vol 7 (3) ◽  
pp. 184-184
Author(s):  
David Jennings
2018 ◽  
Vol 33 ◽  
pp. 03074
Author(s):  
Boris Titarenko ◽  
Amir Hasnaoui ◽  
Roman Titarenko ◽  
Liliya Buzuk

This paper shows the project risk management methods, which allow to better identify risks in the construction of high-rise buildings and to manage them throughout the life cycle of the project. One of the project risk management processes is a quantitative analysis of risks. The quantitative analysis usually includes the assessment of the potential impact of project risks and their probabilities. This paper shows the most popular methods of risk probability assessment and tries to indicate the advantages of the robust approach over the traditional methods. Within the framework of the project risk management model a robust approach of P. Huber is applied and expanded for the tasks of regression analysis of project data. The suggested algorithms used to assess the parameters in statistical models allow to obtain reliable estimates. A review of the theoretical problems of the development of robust models built on the methodology of the minimax estimates was done and the algorithm for the situation of asymmetric “contamination” was developed.


World Science ◽  
2019 ◽  
Vol 3 (3(43)) ◽  
pp. 9-12
Author(s):  
Микаел Ншанян ◽  
Нелли Долмазян

In the article, the evolution of project risk management processes in the six sequential editions of the PMBOK Guide standard, developed by the Project Management Institute (PMI), is analysed. Special attention is paid to the last edition of the PMBOK Guide standard. The PMI approach to the project risks management is compared with the outlooks of the other most well- known standards and methodologies of project management.


2010 ◽  
Vol 17 (4) ◽  
pp. 336-351 ◽  
Author(s):  
Grant Kululanga ◽  
Witness Kuotcha

PurposeThere is relatively low implementation of formal project risk management methods in practice, leading to the construction industry consistently suffering from poor project performance. This study aims to ascertain the extent to which current project risk management practices are used by construction contractors in one of the countries of the sub‐Saharan region – Malawi.Design/methodology/approachA management process tool with statement indicators linked to numerical scores was conceived that characterised a series of steps of project risk management process. To ascertain the degree to which project risk management processes were used, a questionnaire survey was employed. Data were elicited from registered Malawian construction contractors on the elements underlining a series of steps of project risk management process as espoused by the literature. Out of 84 sampled construction contractors, 51 completed questionnaires were received.FindingsApart from large‐sized and more experienced construction contractors, all the small and medium‐sized construction contractors – which constitute the largest proportion of the construction industry – were characterised by a low implementation of the various required steps for the project risk management process. The application of project risk management processes was significantly influenced by the various categories of size and experience of the surveyed construction contractors at p<0.01. Furthermore, contingence planning within the series of steps of project risk management process featured highly among the surveyed construction contractors. The majority of the variables under the series of steps of project risk management process were positively and significantly linked to progression in size and experience of construction contractors at p<0.01.Research limitations/implicationsThe study forms the basis for further research; replication of this study to other parts of world about how the actual implementation of the series of steps of project risk management process is undertaken could yield rich lessons for the construction industry.Practical implicationsThe intentional move by industry towards measuring management processes as a precursor to uncovering the root causes that underlie project success or failure to provide quick feedback for remedial action is supported by an approach such as this.Originality/valueThe originality of this paper lies in its uniqueness for a systematic approach to quantifying the project risk management processes with the view to understanding the implementation behaviours of construction contractors in one country in the sub‐Saharan region.


2013 ◽  
Vol 2 (4) ◽  
pp. 79-101
Author(s):  
Jan Terje Karlsen ◽  
Odin Folke-Olsen ◽  
Tim Torvatn

This study is about project risk management tools. The aim has been to identify which tools have the greatest potential for contribution to risk management processes in the Norwegian oil and gas industry, and which factors contribute to efficient risk management. Empirical data from the Norwegian industry have been gathered using a questionnaire. The results revealed strong relationships between project system complexity, average tool score and risk management contribution. Furthermore, the results of the analysis show that some of the previous recommendations of tools for project risk management may have been based on a restricted set of determinants. On the other hand, similarities are also found with previous research in terms of the highest ranked tools based on perceived contribution to the risk management performance. Compared to the previous findings, this study indicates that a new measure for project management performance is needed, and that the recommendation of tools based on the risk management contribution index may be flawed. Nevertheless, it is concluded that several of the recommended tools are of great value across industries.


Author(s):  
Jan Terje Karlsen ◽  
Odin Folke-Olsen ◽  
Tim Torvatn

This study is about project risk management tools. The aim has been to identify which tools have the greatest potential for contribution to risk management processes in the Norwegian oil and gas industry, and which factors contribute to efficient risk management. Empirical data from the Norwegian industry have been gathered using a questionnaire. The results revealed strong relationships between project system complexity, average tool score and risk management contribution. Furthermore, the results of the analysis show that some of the previous recommendations of tools for project risk management may have been based on a restricted set of determinants. On the other hand, similarities are also found with previous research in terms of the highest ranked tools based on perceived contribution to the risk management performance. Compared to the previous findings, this study indicates that a new measure for project management performance is needed, and that the recommendation of tools based on the risk management contribution index may be flawed. Nevertheless, it is concluded that several of the recommended tools are of great value across industries.


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