Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11427
Title: The effect of client and type and size of construction work on a contractor's bidding strategy
Authors: Drew, D
Skitmore, M
Lo, HP
Keywords: Bidding strategy
Client
Competitiveness
Construction work size
Construction work type
Mark-up
Regression analysis
Issue Date: 2001
Publisher: Pergamon Press
Source: Building and environment, 2001, v. 36, no. 3, p. 393-406 How to cite?
Journal: Building and environment 
Abstract: This paper offers a bidding strategy model for use by contractors as part of a more informed approach in selecting which contracts to bid for, and as a basis for determining the most appropriate mark-up level for various types and sizes of construction work and client types. Regression analysis is used in measuring a contractor's competitiveness between bids (by using the lowest bid/own bid ratio) and within bids (by using the lowest bid/cost estimate ratio) according to type and size of construction work and client type. The model was tested on a large and reputable Hong Kong contractor. This particular contractor's bidding behaviour was found to be largely unaffected by the type of construction work, but significantly affected by the client type and the size of the construction work. Three quadratic models (regressing lowest bid/cost estimate on the size of the construction work) are also successfully developed for projects from the private sector, the Hong Kong Government and the Hong Kong Housing Authority, respectively.
URI: http://hdl.handle.net/10397/11427
ISSN: 0360-1323
EISSN: 1873-684X
DOI: 10.1016/S0360-1323(00)00009-3
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

33
Last Week
0
Last month
2
Citations as of Apr 12, 2018

WEB OF SCIENCETM
Citations

27
Last Week
0
Last month
0
Citations as of Apr 23, 2018

Page view(s)

71
Last Week
0
Last month
Citations as of Apr 23, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.