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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.

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.

  • Type: Journal Article
  • Keywords: Construction industry; Construction companies; Data analysis; Performance characteristics; Construction industry; Data envelopment analysis; Key performance indicators;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000145
  • Abstract:
    The web benchmarking systems broadly used in the construction industry (CI) are designed to provide results based on key performance indicators (KPIs). No insights concerning organization overall performance and improvements targets are available. This research aims to fulfill this gap using data envelopment analysis (DEA) as a method to complement the information provided by a set of KPIs. The methodology proposed is useful to all organizations involved in benchmarking routines. To enable a more realistic assessment of CI companies, two types of DEA models were used, one allows factor weights to vary freely and the other includes weight restrictions. These models assign an efficiency score to each organization, identifying efficient organizations and providing performance improvements targets for the others. To enable suggesting targets for all organizations, expert opinion was used to specify virtual units which were included in the efficiency assessment to define a practical frontier located beyond the productivity levels of the original DEA frontier. Based on a sample of 20 Portuguese leading contractors, the Portuguese web benchmarking system for CI, icBench, was used to demonstrate the advantages of integrating the DEA method with KPIs benchmark scores.

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.