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Model for predicting clients' contribution to project success

ENG HWEE LIM (KPK Quantity Surveyors, Singapore)
FLORENCE YEAN YNG LING (Department of Building, National University of Singapore, Singapore)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 1 May 2002

571

Abstract

Clients' financial status, characteristics, management competency and construction experience can have significant effects upon the attainment of project success. A survey was conducted to gauge whether consultants and contractors felt that 20 client related attributes uncovered from the literature have influence on the project outcome. Data were collected via a mailed questionnaire. Results show that all the 20 client related attributes are important and contribute to project success. A multiple linear regression model was constructed to predict a client's contribution to project success. Five predictive attributes were identified: ‘client sets down project objectives clearly’, ‘client is credit worthy’, ‘client does not contribute to project complexity’, ‘client is not litigious’, and ‘client trusts project team members’. This model provides consultants and contractors with a tool to evaluate their clients. It is recommended that clients focus on the more important attributes identified in this study, to ensure project success.

Keywords

Citation

HWEE LIM, E. and YEAN YNG LING, F. (2002), "Model for predicting clients' contribution to project success", Engineering, Construction and Architectural Management, Vol. 9 No. 5/6, pp. 388-395. https://doi.org/10.1108/eb021233

Publisher

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MCB UP Ltd

Copyright © 2002, MCB UP Limited

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