LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Drew, DS
Languages: English
Types: Doctoral thesis
Subjects: built_and_human_env

Classified by OpenAIRE into

ACM Ref: ComputingMilieux_LEGALASPECTSOFCOMPUTING
Flanagan and Norman (1982b) examined the bidding performances of three\ud contractors. In developing this study, the aim of this research is to demonstrate\ud through statistical modelling that, in terms of competitiveness, competing\ud contractors are influenced, to varying degrees, by contract type and size and that\ud a competitiveness relationship exists between contractor size and contract size.\ud Bidding behaviour between construction firms is regarded as the outcome of\ud strategic management decisions undertaken in an economic setting. Contractors are\ud seen to compete for construction work in a competitive environment made up of\ud a series of market sectors, each containing an amalgam of contract types and sizes,\ud while clients are viewed as initiators of the whole contracting process. Contractors\ud are shown to respond to client demands by deciding on a strategic domain within\ud which to operate, which contracts to bid for and, if opting to bid, the appropriate\ud bid level.\ud Two approaches to modelling competitiveness are offered. The first approach\ud examines the relationship between competitiveness and variability in bidding and\ud a four-way classification system of bidder behaviour is developed. The main goal\ud of this work, however, is contained in the second approach, which uses multiple\ud regression to construct a competitiveness model - a prediction equation relating\ud bidder competitiveness (the dependent variable) to the independent variables of\ud bidder (analysed individually and also grouped according to size), contract type\ud and contract size. The regression model shows that differences in competitiveness\ud are greater for different contract sizes than different contract types. The most\ud competitive contractors appear to be those with a preferred contract size range.\ud The results are inconclusive in providing evidence that large bidders are more\ud competitive on larger contracts and vice versa.
  • No references.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article