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Carrillo, P (2004) Managing knowledge: lessons from the oil and gas sector. Construction Management and Economics, 22(06), 631-42.

Chew, M Y L, Silva, N D and Tan, S S (2004) A neural network approach to assessing building façade maintainability in the tropics. Construction Management and Economics, 22(06), 581-94.

Ho, M-F, Drew, D, McGeorge, D and Loosemore, M (2004) Implementing corporate ethics management and its comparison with the safety management system: a case study in Hong Kong. Construction Management and Economics, 22(06), 595-606.

Johnstone, I M (2004) Development of a model to estimate the benefit-cost ratio performance of housing. Construction Management and Economics, 22(06), 607-17.

Lowe, D J and Parvar, J (2004) A logistic regression approach to modelling the contractor's decision to bid. Construction Management and Economics, 22(06), 643-53.

  • Type: Journal Article
  • Keywords: Bidding; construction; decision-making; decision to bid
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190310001649056
  • Abstract:

    Significant factors in the decision to bid process are identified and a pro-forma to elicit a numerical assessment of these factors is developed and validated using the bid/no-bid decision-makers from a UK construction company. Using the pro-forma, data were collected from the collaborating company for historical bid opportunities. Statistical techniques are used to gain a better understanding of the data characteristics and to model the process. Eight variables have a significant relationship with the decision to bid outcome and for which the decision-makers are able to discriminate. Factor analysis is used to identify the underlying dimensions of the pro-forma and to validate functional decomposition of the factors. Finally, two logistic regression models of the decision to bid process are developed. While one model is ultimately rejected, the selected model is capable of classifying the total sample with an overall predictive accuracy rate of 94.8%. The results, therefore, demonstrate that the model functions effectively in predicting the bid/no-bid decision process.

Rooke, J, Seymour, D and Fellows, R (2004) Planning for claims: an ethnography of industry culture. Construction Management and Economics, 22(06), 655-62.

Trigunarsyah, B (2004) A review of current practice in constructability improvement: case studies on construction projects in Indonesia. Construction Management and Economics, 22(06), 567–80-.

Wong, E O W and Yip, R C P (2004) Promoting sustainable construction waste management in Hong Kong. Construction Management and Economics, 22(06), 563-6.

Yang, I-T and Ioannou, P G (2004) Scheduling system with focus on practical concerns in repetitive projects. Construction Management and Economics, 22(06), 619-30.