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Models for predicting quality of building projects

Florence Yean Yng Ling (Department of Building, National University of Singapore, Singapore)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 1 February 2005

2039

Abstract

Purpose

The objectives of this paper are to: find out whether design‐bid‐build (DBB) or design‐build (DB) procurement method gives better quality building; identify variables that significantly affect quality scores of DBB and DB projects; and construct models to predict quality scores of DB and DBB projects.

Design/methodology/approach

The research design was based on a structured questionnaire and data on quality performance and factors that may affect quality of a building project were collected by postal survey and face‐to‐face interviews.

Findings

There was no significant difference between the quality scores of DB and DBB projects. To ensure that buildings procured through DBB have high quality, owners should adopt the following practices: engage experienced consultants; short‐list bidders and select contractors based on a combination of price and ability. To obtain high quality DB buildings, owners should engage architects to prepare the scheme design and not to set the budget too early. For both types of projects, owners should allow contractors to propose changes to the contract with a view to improving its quality.

Research limitations/implications

As there is no significant difference in quality of DBB and DB projects, the argument that DB projects produce lower quality buildings is demolished.

Practical implications

The practical implication is that owners play an important part in ensuring that they obtain buildings of high quality.

Originality/value

Building owners and consultants can use the two models to predict quality scores of DBB and DB projects and take specific actions to improve the quality of their projects if necessary.

Keywords

Citation

Yean Yng Ling, F. (2005), "Models for predicting quality of building projects", Engineering, Construction and Architectural Management, Vol. 12 No. 1, pp. 6-20. https://doi.org/10.1108/09699980510576862

Publisher

:

Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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