Article ID: | iaor19992150 |
Country: | United Kingdom |
Volume: | 16 |
Issue: | 3 |
Start Page Number: | 153 |
End Page Number: | 164 |
Publication Date: | Jun 1998 |
Journal: | International Journal of Project Management |
Authors: | Holt Gary D. |
Keywords: | statistics: multivariate, fuzzy sets |
Industrial and academic awareness of the need for judicious construction contractor selection is increasing. Earlier investigations of this client procurement decision have more recently been expanded upon; particularly, by work conducted in the USA and UK. Other countries are now also addressing this issue and procurement research abounds. This paper complements that increased activity by presenting a review of contractor evaluation and selection modelling methodologies. These methodologies include: Bespoke approaches, Multi-attribute analysis, Multi-attribute utility theory, Cluster analysis, Multiple regression, Fuzzy set theory, and Multivariate discriminant analysis. The merits/demerits and previous/possible future applications of each methodology are discussed, and indications for future research given.