Integrating analytical hierarchy process and regression for assessing construction organizations’ performance

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Abstract
This study proposes a new organization performance assessment model to assist in identifying areas with potential improvements, thus leading to better performance. The model is based on the integration of analytical hierarchy process (AHP) and multiple linear regression (MLR) analysis. The goal of this research is to design a comprehensive performance assessment model through identifying and ranking a set of critical success factors (CSFs). The research findings indicate that the CSFs in construction organizations have different priorities and weights according to different functional units. Four assessment models are developed to reflect the different perspectives of four functional units in construction organizations. The validation results of the models range from 88 to 85%. The models will benefit organizations in assessing their performance according to the different individuals’ perspectives.

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