Organizations have been trying to increase their efficiency and improve their performance in order to achieve their goals. Various factors determine organizational success. The construction industry is a project-based industry which is exceptionally dynamic. The need to identify the weak points and search for solutions to improve the performance of the construction organization is extremely crucial. The industry has always focused on the measure of project success. Previous research works have primarily focused on the measurement of financial or tangible assets. However, there is a lack of understanding of qualitative factors and their combined effect on organizational performance. Therefore, the objectives of this paper are to identify and study the success factors—both financial and non-financial factors. The potential success factors are collected from the literature review and construction experts through a questionnaire to evaluate their effect on organizational performance. The collected data have been analyzed using the Analytic Hierarchy Process (AHP) to shortlist the critical success factors. Thereafter, the Hierarchical Fuzzy Expert System has been used to build a prediction model based on the selected factors. The developed research/model benefits both researchers and practitioners to predict accurate company performance.

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Organizational performance is one of the most important aspects of today's project management research. Many factors can be indicators for organizational performance beyond the financial measures. Predicting the performance will allow the organization to identify the areas with the highest improvement potentials, thus leading to better performance and profit increasing. The fragmented and unique nature of the construction industry was one of the main factors that contributed to the difficulty of the performance assessment. Most of research works have identified the success of organizations in terms of multiple dependent factors that impact organizations' performance and neglected non-financial performance indicators and different functional units based perspectives (e.g. project managers, administrators, and engineers). Therefore, the objective of this research is to identify and analysis the Critical Success Factors (CSFs) to develop a comprehensive performance assessment model(s) based on the values perceived from different function units within the organization.A questionnaire was administered to the organizations' individuals to evaluate these potential CSFs on the organizational performance. The data is categorized into four main response categories based on the function rules responses. A framework for analyzing the data using Fuzzy modeling approach is developed to build a performance prediction model. The model will benefit organizations to predict an accurate performance based on the different organizations' individuals perspective.

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