Construction projects are risky. However, the characteristics of the risk highly depend on the type of procurement being adopted for managing the project. A build‐operate‐transfer (BOT) project is recognized as one of the most risky project schemes. There are instances of project failure where a BOT scheme was employed. Ineffective rts are increasingly being managed using various risk management tools and techniques. However, application of those tools depends on the nature of the project, organization's policy, project management strategy, risk attitude of the project team members, and availability of the resources. Understanding of the contents and contexts of BOT projects, together with a thorough understanding of risk management tools and techniques, helps select processes of risk management for effective project implementation in a BOT scheme. This paper studies application of risk management tools and techniques in BOT projects through reviews of relevant literatures and develops a model for selecting risk management process for BOT projects. The application to BOT projects is considered from the viewpoints of the major project participants. Discussion is also made with regard to political risks. This study would contribute to the establishment of a framework for systematic risk management in BOT projects.
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1 May 2004
Research Article|
May 01 2004
Selection and application of risk management tools and techniques for build‐operate‐transfer projects Available to Purchase
Prasanta K. Dey;
Prasanta K. Dey
Lecturer, Department of Management Studies, University of the West Indies, Bridgetown, Barbados
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Stephen O. Ogunlana
Stephen O. Ogunlana
School of Civil Engineering, Asian Institute of Technology, Pathumthani, Thailand
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Publisher: Emerald Publishing
Online ISSN: 1758-5783
Print ISSN: 0263-5577
© Emerald Group Publishing Limited
2004
Industrial Management & Data Systems (2004) 104 (4): 334–346.
Citation
Dey PK, Ogunlana SO (2004), "Selection and application of risk management tools and techniques for build‐operate‐transfer projects". Industrial Management & Data Systems, Vol. 104 No. 4 pp. 334–346, doi: https://doi.org/10.1108/02635570410530748
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