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Acar, E, Koçak, I, Sey, Y and Arditi, D (2005) Use of information and communication technologies by small and medium-sized enterprises (SMEs) in building construction. Construction Management and Economics, 23(07), 713-22.

Chan, P, Cooper, R and Tzortzopoulos, P (2005) Organizational learning: conceptual challenges from a project perspective. Construction Management and Economics, 23(07), 747-56.

Jin, X-H and Ling, F Y Y (2005) Constructing a framework for building relationships and trust in project organizations: two case studies of building projects in China. Construction Management and Economics, 23(07), 685-96.

Lam, K C, Hu, T S and Ng, S T (2005) Using the principal component analysis method as a tool in contractor pre-qualification. Construction Management and Economics, 23(07), 673-84.

  • Type: Journal Article
  • Keywords: Contractor pre-qualification; neural networks; principal component analysis
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190500041263
  • Abstract:

    Contractor pre-qualification can be regarded as a complicated, two-group, non-linear classification problem. It involves a variety of subjective and uncertain information extracted from various parties such as contractors, pre-qualifiers and project teams. Non-linearity, uncertainty and subjectivity are the three predominant characteristics of the contractor pre-qualification process. This makes the process more of an art than a scientific evaluation. In addition to non-linearity, uncertainty and subjectivity, contractor pre-qualification is further complicated by the large number of contractor pre-qualification criteria (CPC) used in current practice and the multicollinearity existing between contractor attributes. An alternative empirical method using principal component analysis (PCA) is proposed for contractor pre-qualification in this study. The proposed method may alleviate the existing amount of multicollinearity and largely reduce the dimensionality of the pre-qualification data set. The applicability and potential of PCA for contractor pre-qualification has been examined by way of two data sets: (1) 73 pre-qualification cases (37 qualified and 36 disqualified) collected in England and (2) 85 (45 qualified and 40 disqualified) pre-qualification cases relating to 10 public sector projects in Hong Kong. The PCA-based results demonstrated that strong and positive inter-correlations existed between most of the qualifying variables, with the minimum correlation coefficient being 0.121 and the maximum being 0.899, and that qualified and disqualified contractors could be satisfactorily separated.

Lingard, H and Francis, V (2005) Does work-family conflict mediate the relationship between job schedule demands and burnout in male construction professionals and managers?. Construction Management and Economics, 23(07), 733-45.

Polat, G and Arditi, D (2005) The JIT materials management system in developing countries. Construction Management and Economics, 23(07), 697-712.

Spaulding, W M, Bridge, A and Skitmore, M (2005) The use of function analysis as the basis of value management in the Australian construction industry. Construction Management and Economics, 23(07), 723-31.

Wong, J T-Y, Hui, E C M, Seabrooke, W and Raftery, J (2005) A study of the Hong Kong property market: housing price expectations. Construction Management and Economics, 23(07), 757-65.