Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10672
Title: A fuzzy approach for assessing contractors' competitiveness
Authors: Tan, Y
Shen, LY
Langston, C
Keywords: Competitive strategy
Construction industry
Fuzzy control
Hong Kong
Linguistics
Issue Date: 2011
Publisher: Emerald Group Publishing Limited
Source: Engineering, construction and architectural management, 2011, v. 18, no. 3, p. 234-247 How to cite?
Journal: Engineering, construction and architectural management 
Abstract: Purpose - Proper assessment of contractors' competitiveness is important for assisting contractors in taking internal analysis and for assisting clients in selecting suitable contractors. This paper seeks to address this issue. Design/methodology/approach - With previously identified contractor key competitiveness indicators (KCIs), this study presents a fuzzy competitiveness rating (FCR) method for measuring contractor competitiveness with reference to the Hong Kong construction industry. A set of linguistic terms is used for facilitating the assessment process. Findings - For illustration, an example is used to show the application of the FCR method. The results provide valuable information for helping contractors in the local construction industry to understand their competitive advantages and weaknesses, and to formulate effective competition strategies to improve their competitiveness. Research limitations/implications - The model used in this study is not validated by real cases. In a future paper, the model will be further demonstrated by conducting real case studies, and the linguistic terms and corresponding fuzzy numbers will also be re-defined based on the collected data. Originality/value - As the competitiveness assessment process involves complexity and uncertainty, a fuzzy competitiveness rating method is considered suitable for reflecting the reality and the assessment panel can easily give their opinions by using the linguistic language.
URI: http://hdl.handle.net/10397/10672
ISSN: 0969-9988
EISSN: 1365-232X
DOI: 10.1108/09699981111126151
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