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Al Qady, M and Kandil, A (2010) Concept Relation Extraction from Construction Documents Using Natural Language Processing. Journal of Construction Engineering and Management, 136(03), 294–302.

El-adaway, I H and Kandil, A A (2010) Multiagent System for Construction Dispute Resolution (MAS-COR). Journal of Construction Engineering and Management, 136(03), 303–15.

El-Gohary, N M and El-Diraby, T E (2010) Dynamic Knowledge-Based Process Integration Portal for Collaborative Construction. Journal of Construction Engineering and Management, 136(03), 316–28.

Girmscheid, G and Brockmann, C (2010) Inter- and Intraorganizational Trust in International Construction Joint Ventures. Journal of Construction Engineering and Management, 136(03), 353–60.

Kale, S and Arditi, D (2010) Innovation Diffusion Modeling in the Construction Industry. Journal of Construction Engineering and Management, 136(03), 329–40.

Lin, C and Huang, H (2010) Improved Baseline Productivity Analysis Technique. Journal of Construction Engineering and Management, 136(03), 367–76.

  • Type: Journal Article
  • Keywords: Construction industry; Data analysis; Productivity; Analytical techniques; Construction industry; Data envelopment analysis; Performance benchmark; Labor productivity; Baseline;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000129
  • Abstract:
    Previous studies have aimed to develop effective methods to derive baseline productivity (BP) for labor-intensive activities in construction sites. However, there are two different definitions of BPs: one is defined as a performance benchmark of best practice and the other as a standard reflecting a contractor’s normal operating performance. It is necessary to clarify the difference between the two definitions and their corresponding BPs. This research introduces data envelopment analysis (DEA) as a new method for deriving BP and compares DEA with the other four BP deriving methods. DEA is concluded as the best method in terms of objectivity, effectiveness, and consistency to find BP that represents the best performance a contractor can possibly achieve. With the capability of deriving productivities of multi-input and multi-output activities, the proposed DEA has raised the scale of labor productivity from the level of single factor productivity to total factor productivity which will help construction researchers and managers to evaluate performances of interests in a much more effective way.

Love, P E D, Edwards, D J, Watson, H and Davis, P (2010) Rework in Civil Infrastructure Projects: Determination of Cost Predictors. Journal of Construction Engineering and Management, 136(03), 275–82.

Menassa, C, Peña Mora, F and Pearson, N (2010) Study of Real Options with Exogenous Competitive Entry to Analyze Dispute Resolution Ladder Investments in Architecture, Engineering, and Construction Projects. Journal of Construction Engineering and Management, 136(03), 377–90.

Minchin, R E, Henriquez, N R, King, A M and Lewis, D W (2010) Owners Respond: Preferences for Task Performance, Delivery Systems, and Quality Management. Journal of Construction Engineering and Management, 136(03), 283–93.

Thomas, M U (2010) Models for Managing Contingency Construction Operations. Journal of Construction Engineering and Management, 136(03), 391–8.

Toor, S and Ofori, G (2010) Positive Psychological Capital as a Source of Sustainable Competitive Advantage for Organizations. Journal of Construction Engineering and Management, 136(03), 341–52.

Touran, A (2010) Probabilistic Approach for Budgeting in Portfolio of Projects. Journal of Construction Engineering and Management, 136(03), 361–6.