DocumentCode
2583766
Title
Risk assessment modelling for the south african construction industry
Author
Visser, Krige ; Joubert, Pierre
Author_Institution
Grad. Sch. of Technol. Manage., Univ. of Pretoria, Pretoria
fYear
2008
fDate
27-31 July 2008
Firstpage
1371
Lastpage
1379
Abstract
The construction project environment is fraught with risks of every conceivable nature and high levels of uncertainty. A research project was therefore initiated to define the most important construction risks from the insurance stakeholders´ point of view. The risk management functionality in terms of the formal risk culture, risk framework and risk practices within the participating construction organisations were tested through a comprehensive questionnaire. Analysis of the completed questionnaires indicated that the results were consistent and repeatable. It was found that construction companies generally have weak risk management cultures, frameworks and practices, even though risk management awareness was relatively high at the construction project level. This seemed to emanate from the separation of project- and enterprise-related risks. The most important risks in the new proposed model are (1) the loss of key employees and business intelligence, (2) contractual related failure, (3) unfavourable financial market conditions and (4) failures of key contractors and clients.
Keywords
construction industry; insurance; organisational aspects; personnel; project management; risk management; South African construction industry; business intelligence; construction organisations; construction project environment; construction risks; employees; insurance stakeholders; research project; risk assessment modelling; Africa; Construction industry; Costs; Databases; Disaster management; Hazards; Insurance; Project management; Risk management; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of Engineering & Technology, 2008. PICMET 2008. Portland International Conference on
Conference_Location
Cape Town
Print_ISBN
978-1-890843-17-5
Electronic_ISBN
978-1-890843-18-2
Type
conf
DOI
10.1109/PICMET.2008.4599749
Filename
4599749
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