Osei-Kyei, R. and Chan, A. P. C. (2019) Model for predicting the success of public–private partnership infrastructure projects in developing countries: A case of Ghana. Architectural Engineering and Design Management, 15(3), pp. 213-232. ISSN 1745-2007
Abstract
This paper develops a practical tool for predicting public–private partnership (PPP) project success in developing countries using Ghana as example. The predictive model examines the causal relationship between CSFs and success criteria for PPP projects. First, a conceptual model for PPP projects success was proposed. Second, the theoretical model was tested by means of a questionnaire survey with experienced PPP experts. Using the regression analysis technique, a predictive model for PPP project success was developed. The regression model shows three best predictors of PPP project success in Ghana, these include; appropriate risk allocation and sharing, sound economic policy and right project identification. Various statistical tests including ANOVA, tolerance and variance inflation factor (VIF), homoscedasticity and Durbin–Watson tests confirmed the validity and goodness of fit for the model. The substantive model will enable PPP practitioners including designers, public clients and engineers in Ghana and other neighbouring developing countries particularly sub-Saharan Africa to predict the likely success of their PPP projects prior to their implementations.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | critical success factors; Ghana; projects success; public–private partnerships; regression analysis; success criteria |
| Index terms: | success criteria, public client, critical success factor, regression analysis, Ghana, project success, economic policy, survey, partnership, variance, designer, Sub-Saharan Africa, engineer, developing country, implementation, validity, regression model, inflation, statistical test, risk allocation, questionnaire, practitioner, infrastructure project |
| Subjects: | profession, project management theory and practice, economic analysis, business policy, financial risk, assessment methods, practitioner, infrastructure and transport systems, measurement and scaling, statistical analysis, evaluation and assessment methods, control systems, contractual arrangements, Geography, physical geography and landforms, sociology, partnership management, data collection methods, development economics |
| Topics: | Engineering Principles, Business Strategy, Procurement, Stakeholder Management, Cost Management, Geographical Context, International Construction, Roles and Professions, Research Practice, Project Management, Governance |
| Descriptive scope: | 4 PCEA |
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