Fuzzy analytical hierarchy process risk assessment approach for joint venture construction projects in China

Zhang, G and Zou, P 2007, 'Fuzzy analytical hierarchy process risk assessment approach for joint venture construction projects in China', Journal of Construction, Engineering and Management, Asce-Smer Soc Civil Engineers, vol. 133, no. 10, pp. 771-779.


Document type: Journal Article
Collection: Journal Articles

Title Fuzzy analytical hierarchy process risk assessment approach for joint venture construction projects in China
Author(s) Zhang, G
Zou, P
Year 2007
Journal name Journal of Construction, Engineering and Management, Asce-Smer Soc Civil Engineers
Volume number 133
Issue number 10
Start page 771
End page 779
Total pages 9
Publisher American Society of Civil Engineers
Abstract Research and practice show that construction joint venture (JV) activities in China are opportunities that can bring potential benefits but at the same time may generate many risks. While research has studied these risks and presented useful advice for managing individual risks, the methodologies used to analyze the risks were mainly qualitatively based, and there is a gap in using the quantitative method that can integrate a risk expert's knowledge to assess the risks associated with JV projects. This paper sets up a hierarchy structure of the risks and then develops a fuzzy analytical hierarchy process (AHP) model for the appraisal of the risk environment pertaining to the JVs to support the rational decision making of project stakeholders. An empirical case study is used to demonstrate the application of the proposed fuzzy AHP model. It is concluded that the fuzzy AHP model is effective in tackling the risks involved in JV projects. The information presented in this paper should be shown to all parties considering JV business opportunities in China, and the proposed approach should be applicable to the research and analysis of risks associated with any type of construction projects.
Subject Construction Engineering
DOI - identifier 10.1061/(ASCE)0733-9364(2007)133:10(771
ISSN 0733-9364
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