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Modelling global risk factors affecting construction cost performance
journal contribution
posted on 2014-06-20, 09:00 authored by Daniel Baloi, Andrew PriceThis paper discusses the core issues of global risk factors modelling, assessment and management. The research reported upon forms part of a larger study that aims to develop a fuzzy decision framework for contractors to handle global risk factors affecting construction cost performance at a project level. Major global risk factors affecting cost performance were identified through an extensive literature review and preliminary discussions with construction contractors. The main decision perspectives namely normative and behavioural were explored. Different decision-making technologies, both classical and emergent, such as classical management science techniques and DSSs, KBSs were explored and evaluated. Preliminary indications show that Fuzzy Set Theory is a viable technology for modelling, assessing and managing global risk factors affecting construction cost performance and thus a fuzzy decision framework for risk management can be successfully developed. © 2003 Elsevier Science Ltd and IPMA. All rights reserved.
History
School
- Architecture, Building and Civil Engineering
Published in
International Journal of Project ManagementVolume
21Issue
4Pages
261 - 269Citation
BALOI, D. and PRICE A.D.F., 2003. Modelling global risk factors affecting construction cost performance. International Journal of Project Management, 21 (4), pp. 261 - 269.Publisher
© ElsevierVersion
- VoR (Version of Record)
Publication date
2003Notes
Closed access.ISSN
0263-7863Publisher version
Language
- en
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