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Anderson, S D, Patil, S S, Gibson, G E and Sullivan, G R (2004) Owner–Contractor Work Structures: Process Approach. Journal of Construction Engineering and Management, 130(05), 680–90.

Chinowsky, P S and Diekmann, J E (2004) Construction Engineering Management Educators: History and Deteriorating Community. Journal of Construction Engineering and Management, 130(05), 751–8.

Hanna, A S and Gunduz, M (2004) Impact of Change Orders on Small Labor-Intensive Projects. Journal of Construction Engineering and Management, 130(05), 726–33.

Hassanein, A and Moselhi, O (2004) Planning and Scheduling Highway Construction. Journal of Construction Engineering and Management, 130(05), 638–46.

Jung, Y and Woo, S (2004) Flexible Work Breakdown Structure for Integrated Cost and Schedule Control. Journal of Construction Engineering and Management, 130(05), 616–25.

Li, K Y K and Chan, A T (2004) Management of Radon in Tunnel Drilling. Journal of Construction Engineering and Management, 130(05), 699–707.

Mattila, K G and Bowman, M R (2004) Accuracy of Highway Contractor’s Schedules. Journal of Construction Engineering and Management, 130(05), 647–55.

Park, M and Peña-Mora, F (2004) Reliability Buffering for Construction Projects. Journal of Construction Engineering and Management, 130(05), 626–37.

Scott, S and Harris, R A (2004) United Kingdom Construction Claims: Views of Professionals. Journal of Construction Engineering and Management, 130(05), 734–41.

Senghore, O, Hastak, M, Abdelhamid, T S, AbuHammad, A and Syal, M G (2004) Production Process for Manufactured Housing. Journal of Construction Engineering and Management, 130(05), 708–18.

Touran, A, Atgun, M and Bhurisith, I (2004) Analysis of the United States Department of Transportation Prompt Pay Provisions. Journal of Construction Engineering and Management, 130(05), 719–25.

Trigunarsyah, B (2004) Constructability Practices among Construction Contractors in Indonesia. Journal of Construction Engineering and Management, 130(05), 656–69.

Wong, C H (2004) Contractor Performance Prediction Model for the United Kingdom Construction Contractor: Study of Logistic Regression Approach. Journal of Construction Engineering and Management, 130(05), 691–8.

  • Type: Journal Article
  • Keywords: United Kingdom; Construction industry; Regression models; Logistics; Contractors; Predictions; contracts; construction industry; prediction theory;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2004)130:5(691)
  • Abstract:
    An accurate prediction of contractor potential is of vital importance during contractor selection and evaluation process. Such prediction enables identification and classification of contractor performance to ease the selection process. This paper outlines the use of clients' tender evaluation preferences for predicting a contractor performance via a logistic regression (LR) approach. A total of 31 clients’ tender evaluation criteria were selected to develop a LR model for predicting contractor performance. The proposed model was developed based on 48 of United Kingdom public and private construction projects and validated in 20 independent cases. It was found that 75% of the cases correctly and the model statistically accurate for contractor performance prediction, where the input variables consist of nominal and interval data. The paper summarized techniques and advantages of LR analysis and discussed literature findings of contractor selection and evaluation methodologies undertaken by construction researchers and commentators from the United Kingdom and Northern America.

Zhang, X (2004) Improving Concessionaire Selection Protocols in Public/Private Partnered Infrastructure Projects. Journal of Construction Engineering and Management, 130(05), 670–9.

Zhong, D, Li, J, Zhu, H and Song, L (2004) Geographic Information System-Based Visual Simulation Methodology and Its Application in Concrete Dam Construction Processes. Journal of Construction Engineering and Management, 130(05), 742–50.