A Framework for Modeling Construction Organizational Competencies and Performance

  • Author(s) / Creator(s)
  • The variables that characterize construction organizational competencies are both quantitative and qualitative in nature, and thus require measurement methods and modeling techniques that can handle both variable types. Models that are capable of relating organizational competencies to performance provide a critical advantage in the identification of target areas leading to improved performance. This paper proposes a framework to develop a fuzzy hybrid model for mapping organizational competencies to performance. To achieve these objectives, different fuzzy modeling techniques, such as fuzzy rule-based (FRB) systems and fuzzy neural networks (FNNs) are explored. This study highlights research gaps related to organizational competency and performance studies in developing models at the organization level. The proposed framework outlines modeling procedures that enable the integration of fuzzy modeling techniques with other approaches that exhibit learning capabilities. The proposed model captures organizational competencies as input by using various competency evaluation criteria, and provides organizational performance as an output using multiple performance metrics. Finally, the model assists researchers and industry practitioners in evaluating the competencies of construction organizations and in analyzing their impact on organizational performance.

  • Date created
  • Subjects / Keywords
  • Type of Item
    Conference/Workshop Presentation
  • DOI
  • License
    © ASCE This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://doi.org/10.1061/9780784481271.069.
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  • Citation for previous publication
    • Tiruneh, G. G., & Fayek, A. Robinson. (2018). A framework for modeling construction organizational competencies and performance. Proceedings, ASCE Construction Research Congress, New Orleans, LA, April 2–4. 10 pp. doi.org/10.1061/9780784481271.069.