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A framework of organization performance assessment in the construction industry using fuzzy approach

International Construction Specialty Conference (5th : 2015 : Vancouver, B.C.); Canadian Society for Civil Engineering

Organizations have been trying to increase their efficiency and improve their performance in order to achieve their goals. The organizational success is determined by various factors that impact organization's performance. The ability to predict construction organization performance will enable practitioners to identify the weak points and in searching solutions to improve, thus leading to better efficiency and increase profit. Previous research works have focused on measuring project success and in the process the importance and evaluation of organization's performance in non-financial aspects has received little attention. Uncertainty and uniqueness of projects are inherent characteristics of this industry. Hence, developing an effective construction performance assessment model has been very difficult. Therefore, the objective of the present research is to identify and study the success factors and to propose a performance prediction model(s) for construction organizations. The potential success factors are collected from literature and shortlisted based on construction expert’s opinion. A questionnaire is prepared and sent to evaluate the effect of these potential success factors on organizational performance. The collected data will be analyzed using Fuzzy modelling approach to build a prediction model, which will show robust results when verified and tested. The proposed research/model will benefit both researcher and practitioners to predict accurate company performance.

Text

2015-11-27

Attribution-NonCommercial-NoDerivs 2.5 Canada

http://hdl.handle.net/2429/54112

Froese, T. M., Newton, L., Sadeghpour, F. & Vanier, D. J. (EDs.) (2015). Proceedings of ICSC15: The Canadian Society for Civil Engineering 5th International/11th Construction Specialty Conference, University of British Columbia, Vancouver, Canada. June 7-10.

Faculty; Other

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