Model for assessing building contractors' project performance

Ching Ming Tam, Frank Harris

    Research output: Journal Publications and ReviewsRGC 62 - Review of books or of software (or similar publications/items)peer-review

    30 Citations (Scopus)

    Abstract

    This study describes the development of operational research models for predicting contractor performance in Hong Kong, using discriminant and multiple regression analysis techniques. An important aim was to determine the underlying factors that influence contractor performance as seen from the client's point of view, and also to develop accurate models to assist clients in vetting contractors for building projects. The resultant models produced six significant variables measuring three dimensions: the inherent characteristics of the project, the contractor's internal attributes and the external influence of the project team. Specifically these were the complexity of the project, working experience of the project leaders, percentage of professionally qualified staff of the contracting firm, past performance of the contractor, origin of the contractor and the level of the architect's or client's supervision and control of the quality of work and work progress. © 1996, MCB UP Limited
    Original languageEnglish
    Pages (from-to)187-203
    JournalEngineering, Construction and Architectural Management
    Volume3
    Issue number3
    DOIs
    Publication statusPublished - 1 Mar 1996

    Research Keywords

    • Contractor
    • Discriminant analysis
    • Multiple regression analysis
    • Performance assessment
    • Prediction
    • Project performance

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