Model for predicting the success of public–private partnership infrastructure projects in developing countries: a case of Ghana

Robert Osei-Kyei, Albert P.C. Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)213-232
Number of pages20
JournalArchitectural Engineering and Design Management
Issue number3
Publication statusPublished - 4 May 2019


  • critical success factors
  • Ghana
  • projects success
  • Public–private partnerships
  • regression analysis
  • success criteria

ASJC Scopus subject areas

  • Architecture
  • Building and Construction
  • Business, Management and Accounting(all)

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