TECHNICAL PAPERS
Jan 1, 2005

Performance Evaluation for Cost Estimators by Reliability Interval Method

Publication: Journal of Construction Engineering and Management
Volume 131, Issue 1

Abstract

Most consultant selection models stress the importance of past performance. However, there are so far very few studies on evaluating consultant’s performance. It hampers the whole process of the selection model. This paper tries to establish a systematic approach in developing a consultant’s performance evaluation model for the evaluation of the performance of cost estimators in the construction industry of Hong Kong. Nominal group technique is adopted in identifying the decision criteria for the evaluation, and a reliability interval method (RIM) is developed to assess the importance weighting of each criterion. The RIM allows statistical analysis and fuzzy assessment of the weight. The results report the weights of each decision criterion and its subcriterion in evaluating cost estimator’s performance. Interestingly, the results show that traditional functions of cost estimator are the least treasured from the clients. Proactive and professional advice is considered to be much more important. The study is highly relevant to industry practitioners in assessing performance of costs estimators, as well as to researchers in further developing the consultant selection model.

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Acknowlegments

The work described in this paper was fully supported by a grant from the City U Strategic Research Grant A/C No. 7001116 and the RGC Competitive Earmarked Research Grant No. City U 1112/99E.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 131Issue 1January 2005
Pages: 108 - 116

History

Received: Feb 20, 2003
Accepted: Jan 12, 2004
Published online: Jan 1, 2005
Published in print: Jan 2005

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Authors

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C. Y. Yiu
PhD, Assistant Professor, and Qualified Building Surveyor, Dept. of Building and Real Estate, The Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong.
H. K. Ho
PhD, Principle Lecturer, Division of Building Science and Technology, City Univ. of Hong Kong, Tat Chee Ave., Kowloon Tong, Kowloon, Hong Kong.
PhD, Associate Professor and Qualified Building Surveyor, Dept. of Building and Construction, City Univ. of Hong Kong, Tat Chee Ave., Kowloon Tong, Kowloon, Hong Kong (corresponding author). E-mail: [email protected]
B. Q. Hu
Professor, School of Mathematics and Statistics, Wuhan Univ., Wuhan 430072, China.

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