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Ahuja, V, Yang, J and Shankar, R (2010) Benchmarking Framework to Measure Extent of ICT Adoption for Building Project Management. Journal of Construction Engineering and Management, 136(05), 538–45.

Alnuaimi, A S, Taha, R A, Al Mohsin, M and Al-Harthi, A S (2010) Causes, Effects, Benefits, and Remedies of Change Orders on Public Construction Projects in Oman. Journal of Construction Engineering and Management, 136(05), 615–22.

Chan, A P C, Lam, P T I, Chan, D W M, Cheung, E and Ke, Y (2010) Critical Success Factors for PPPs in Infrastructure Developments: Chinese Perspective. Journal of Construction Engineering and Management, 136(05), 484–94.

Chan, D W M, Chan, A P C, Lam, P T I and Wong, J M W (2010) Empirical Study of the Risks and Difficulties in Implementing Guaranteed Maximum Price and Target Cost Contracts in Construction. Journal of Construction Engineering and Management, 136(05), 495–507.

Cheung, S O, Yiu, T W and Chan, H W (2010) Exploring the Potential for Predicting Project Dispute Resolution Satisfaction Using Logistic Regression. Journal of Construction Engineering and Management, 136(05), 508–17.

  • Type: Journal Article
  • Keywords: Construction industry; Dispute resolution; Logistics; Project management; Construction dispute resolution; Dispute resolution satisfaction; Logistic regression; Multivariate discriminant analysis;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000157
  • Abstract:
    The success of a construction project depends on the coordinated efforts of project team members. This is especially crucial when a project is in dispute and hence the achievement of satisfactory project dispute resolution is critical to project success. This proposition has been empirically demonstrated a previous research that studied project dispute resolution satisfaction (DRS) using multivariate discriminant analysis (MDA). This paper reports on a study that builds on that research, with the specific aim of predicting project DRS through the use of logistic regression (LR). In this study, a LR model of project DRS (Model 1) is developed, and then compared with the MDA model. The findings suggest that the LR technique provides a higher hit rate and thus a higher proportion of correct classification. With the wider acceptance of the use of alternative dispute resolution (ADR) methods, the effect, on the LR model, of changing the demarcation between adverse and favorable project DRS is also examined. For this examination, another LR model (Model 2) was developed. It is believed that Model 2 may reflect the prevailing sentiment that ADR is viewed as an amicable way to resolve disputes. Both the MDA model and LR models (Model 1 and Model 2) indicated that “design changes” are the root cause of adverse project DRS. Within the scope of the project data, these findings suggest that design changes are not just disruptive to project progress but also a critical cause of construction disputes.

Christodoulou, S E, Ellinas, G and Michaelidou-Kamenou, A (2010) Minimum Moment Method for Resource Leveling Using Entropy Maximization. Journal of Construction Engineering and Management, 136(05), 518–27.

Creedy, G D, Skitmore, M and Wong, J K W (2010) Evaluation of Risk Factors Leading to Cost Overrun in Delivery of Highway Construction Projects. Journal of Construction Engineering and Management, 136(05), 528–37.

Elyamany, A and Abdelrahman, M (2010) Contractor Performance Evaluation for the Best Value of Superpave Projects. Journal of Construction Engineering and Management, 136(05), 606–14.

Horta, I M, Camanho, A S and Da Costa, J M (2010) Performance Assessment of Construction Companies Integrating Key Performance Indicators and Data Envelopment Analysis. Journal of Construction Engineering and Management, 136(05), 581–94.

Javernick-Will, A N and Scott, W R (2010) Who Needs to Know What? Institutional Knowledge and Global Projects. Journal of Construction Engineering and Management, 136(05), 546–57.

Klotz, L and Horman, M (2010) Counterfactual Analysis of Sustainable Project Delivery Processes. Journal of Construction Engineering and Management, 136(05), 595–605.

Lim, J N, Schultmann, F and Ofori, G (2010) Tailoring Competitive Advantages Derived from Innovation to the Needs of Construction Firms. Journal of Construction Engineering and Management, 136(05), 568–80.

Rezgui, Y and Miles, J (2010) Exploring the Potential of SME Alliances in the Construction Sector. Journal of Construction Engineering and Management, 136(05), 558–67.

Yang, L and Shi, J J (2010) Experimental Study on the Impact of Rainfall on RCC Construction. Journal of Construction Engineering and Management, 136(05), 477–83.