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Bakens, W (1997) International trends in research and technology development. Building Research & Information, 25(06), 335–7.

Bowen, P, Akintoye, A, Pearl, R and Edwards, P J (2007) Ethical behaviour in the South African construction industry. Construction Management and Economics, 25(06), 631–48.

Bubshait, A A and Tahir, B M (1997) Effect of silica fume on the concrete-steel bond. Building Research & Information, 25(06), 365–9.

Chan, C T W (2007) Fuzzy procurement selection model for construction projects. Construction Management and Economics, 25(06), 611–8.

Delgado-Hernandez, D J, Bampton, K E and Aspinwall, E (2007) Quality function deployment in construction. Construction Management and Economics, 25(06), 597–609.

Egbu, C O (1997) Refurbishment management: challenges and opportunities. Building Research & Information, 25(06), 338–47.

Enshassi, A (1997) Construction safety issues in Gaza Strip. Building Research & Information, 25(06), 370–3.

Galbraith, G H, McLean, R C and Kelly, D (1997) Moisture permeability measurements under varying barometric pressure. Building Research & Information, 25(06), 348–53.

Goodier, C and Gibb, A (2007) Future opportunities for offsite in the UK. Construction Management and Economics, 25(06), 585–95.

Green, S D and Liu, A M M (2007) Theory and practice in value management: a reply to Ellis et al. (2005). Construction Management and Economics, 25(06), 649–59.

Holt, G D (1997) Classifying construction contractors. Building Research & Information, 25(06), 374–82.

  • Type: Journal Article
  • Keywords: cluster analysis; contractor; prequalification; tenderin
  • ISBN/ISSN: 0961-3218
  • URL: http://taylorandfrancis.metapress.com/link.asp?id=dyn9et0caa5tb8h7
  • Abstract:
    A case study using cluster analysis. It is widely accepted in construction management literature that superlative contractor selection criteria are: contractor ability to complete a project on time, within budgeted cost and to expected quality standards. Hence, contractor evaluation and selection models with the ability to highlight these attributes (i.e. help the selection decision) should be fully exploited. To date, such models have evolved based predominantly on multi-attribute analysis, case-based reasoning, and discriminant analysis, but there is scope for investigation of alternative strategies including: fuzzy set theory; neural networks; regression techniques; and cluster analysis. This paper concentrates on the latter by applying cluster analysis to real-life contractor selection data. Results indicate that the technique will simultaneously classify large numbers of contractors while identifying the most significant discriminating criteria among them. These characteristics offer potential for rationalization of contractor evaluation, classification and selection

Hu, X and Liu, C (2018) Measuring efficiency, effectiveness and overall performance in the Chinese construction industry. Engineering, Construction and Architectural Management, 25(06), 780–97.

Imriyas, K, Pheng, L S and Teo, E A-L (2007) A framework for computing workers' compensation insurance premiums in construction. Construction Management and Economics, 25(06), 563–84.

Malmberg, F (2007) Introduction of a new form of quote evaluation: a case study in southern Sweden. Construction Management and Economics, 25(06), 661–9.

Modak, J P, Sohoni, V V and Aware, H V (1997) Manually powered manufacture of keyed bricks. Building Research & Information, 25(06), 354–64.

Newaz, M T, Davis, P R, Jefferies, M and Pillay, M (2018) Developing a safety climate factor model in construction research and practice. Engineering, Construction and Architectural Management, 25(06), 738–57.

Oke, A E (2018) Bonding capability of Nigerian contracting firms. Engineering, Construction and Architectural Management, 25(06), 707–20.

Skitmore, M and Smyth, H (2007) Pricing construction work: a marketing viewpoint. Construction Management and Economics, 25(06), 619–30.

Tripathi, K K and Jha, K N (2018) Application of fuzzy preference relation for evaluating success factors of construction organisations. Engineering, Construction and Architectural Management, 25(06), 758–79.

Umeokafor, N (2018) An investigation into public and private clients’ attitudes, commitment and impact on construction health and safety in Nigeria. Engineering, Construction and Architectural Management, 25(06), 798–815.

Yan, X and Kim, Y (2018) A conceptual framework of ITSMCA for a building collapse accident. Engineering, Construction and Architectural Management, 25(06), 721–37.

Yang, R J, Jayasuriya, S, Gunarathna, C, Arashpour, M, Xue, X and Zhang, G (2018) The evolution of stakeholder management practices in Australian mega construction projects. Engineering, Construction and Architectural Management, 25(06), 690–706.