Date of Award

4-2016

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Building Construction Management

First Advisor

Emad Elwakil

Committee Chair

Emad Elwakil

Committee Member 1

Bryan Hubbard

Committee Member 2

Mark Shaurette

Abstract

Organizations have been trying to increase their efficiency and improve their performance in order to achieve their goals. Organizational success is determined by various factors that impact organizational performance. Construction industry is a project based industry which is extremely dynamic in nature. The need to identify the weak points and search solutions to improve performance of construction organization is extremely crucial. Previous research works have primarily focused on the measurement of financial or tangible assets. Industry has always focused on measure of project success. However, previous studies lack the understanding of qualitative factors and their combine effect on organizational performance. Therefore, the objective of the present research is to identify and study the success factors - both financial and non-financial factors and to develop performance prediction model(s) for construction organizations. The potential success factors are collected from literature and construction experts through a questionnaire that is prepared and sent to evaluate the effect of these potential success factors on organizational performance. The collected data is analyzed using Analytic Hierarchy Process (AHP) and Hierarchical Fuzzy Expert System to build a prediction model. The developed research/model benefits both researcher and practitioners to predict accurate company performance.

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