Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 5 results ...

Griffith, A (1996) Review of environmental assessment in UK building construction: current awareness, concerns and issues. Engineering, Construction and Architectural Management, 3(03), 205–17.

Jennings, M J and Betts, M (1996) Competitive strategy for quantity surveying practices: the importance of information technology. Engineering, Construction and Architectural Management, 3(03), 163–86.

Proverbs, D G, Olomolaiye, P O and Harris, F C (1996) Planned construction times and labour utilization: a comparison of UK and French contractors. Engineering, Construction and Architectural Management, 3(03), 219–32.

Scott, D and Anumba, C J (1996) An intelligent approach to the engineering management of subsidence cases. Engineering, Construction and Architectural Management, 3(03), 233–48.

Tam, C M and Harris, F C (1996) Model for assessing building contractors' project performance. Engineering, Construction and Architectural Management, 3(03), 187–203.

  • Type: Journal Article
  • Keywords: contractor; discriminant analysis; multiple regression analysis ; performance assessment; project performance
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/eb021030
  • 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.