Author:
Almarri Khalid,Boussabaine Halim
Abstract
Purpose
There is lack of literature on the evaluation of PPP projects performance based on critical success factors (CSFs). Thus, the purpose of this paper is to investigate and establish which of the CSFs are good predictor of PPP projects performance in terms of success criteria.
Design/methodology/approach
A questionnaire survey was developed based on PPP performance indicators and CSFs identified through a rigorous literature review. It was administrated among experts in PPP from the UK and the UAE. The respondents were selected purely on their work experience in PPP projects. The sites for collecting data were selected based on the similarity of the procurement methods between the two countries. The data were initially analysed using descriptive statics to identify the association between CSFs and PPP performance indicators. Multiple regression analysis was used to examine which of the CSFs were significant predictor of PPP projects performance.
Findings
The results demonstrated that “project technical feasibility, social support and local financial market assessment” contribute significantly to time performance. Detailed cost/benefits assessment contributed significantly to the cost, time and quality performance. Appropriate risk allocation and multi-benefit objectives of all stakeholders were found to be significant predictors of the service performance. CSFs “social support and detailed cost/benefits assessment” contribute positively to profit and variation performances. CSFs “profit and transparent procurement” are negatively associated with the variation performance. Cost and quality were the least performance criteria that could be predicted by the factors associated with this study.
Practical implications
The findings are expected to benefit the upper management of local governments and stakeholders to make informed decisions by understanding the link between the CSFs and the generic performance success measures at the onset of the of PPP project.
Originality/value
This study expands the existing literature by using the CSFs to predict the performance success of PPP projects.
Subject
Management Science and Operations Research,Civil and Structural Engineering
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