Loading…
Factors affecting the bid/no bid decision in the Saudi Arabian construction contractors
The bid/no bid decision requires an understanding of a company's assessment in relation to factors affecting the decision. Different companies might have different assessment values. The aim is to investigate how bid/no bid decisions are influenced by different characteristics of contractors. V...
Saved in:
Published in: | Construction Management and Economics 2009-01, Vol.27 (1), p.53-71 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | The bid/no bid decision requires an understanding of a company's assessment in relation to factors affecting the decision. Different companies might have different assessment values. The aim is to investigate how bid/no bid decisions are influenced by different characteristics of contractors. Various factors are identified and then analysed in order to investigate their influence and relative significance. A questionnaire survey was used to identify and rank the factors affecting the bidding decision and then analyse them in terms of differences between the returned responses with respect to the differing respondent characteristics. The findings have established the ranking order of the factors affecting the bid/no bid decision and identified their weights of importance. In addition, the influence of these characteristics upon the different weights of importance given by the survey respondents is found to be statistically significant. The most influential characteristics that affected their assessment of the weight of importance are contractor size, classification status of the contractor and the main client type. Different contractors' characteristics should be reflected in the way that the bid/no bid decisions are modelled. Also, the data collected should be categorized with regards to contractors' characteristics before starting the data analysis and modelling processes. |
---|---|
ISSN: | 0144-6193 1466-433X 1568-5551 |
DOI: | 10.1080/01446190802596220 |