Wong, C H (2004) Contractor performance prediction model for the United Kingdom construction contractor: Study of logistic regression approach. Journal of Construction Engineering and Management, 130(5), pp. 691-698. ISSN 0733-9364
Abstract
An accurate prediction of contractor potential is of vital importance during contractor selection and evaluation process. Such prediction enables identification and classification of contractor performance to ease the selection process. This paper outlines the use of clients' tender evaluation preferences for predicting a contractor performance via a logistic regression (LR) approach. A total of 31 clients' tender evaluation criteria were selected to develop a LR model for predicting contractor performance. The proposed model was developed based on 48 of United Kingdom public and private construction projects and validated in 20 independent cases. It was found that 75% of the cases correctly and the model statistically accurate for contractor performance prediction, where the input variables consist of nominal and interval data. The paper summarized techniques and advantages of LR analysis and discussed literature findings of contractor selection and evaluation methodologies undertaken by construction researchers and commentators from the United Kingdom and Northern America.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | contractors; logistics; predictions; regression models; United Kingdom |
| Index terms: | construction project, methodology, tender evaluation, construction contractor, preference, United Kingdom, prediction model, contractor selection, regression model, logistic regression, contractor performance |
| Subjects: | contract management, Geography, production management, tendering, decision-making and reasoning, research methods, statistical analysis, practitioner, prediction and forecasting |
| Topics: | Contract Administration, Roles and Professions, Procurement, Research Practice, Geographical Context, Project Management |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here