A network-based model for the assessment of success in PPP healthcare projects

Ongel, B., Tanyer, A. M. and Dikmen, I. ORCID: https://orcid.org/0000-0002-6988-7557 (2024) A network-based model for the assessment of success in PPP healthcare projects. International Journal of Construction Management, 24 (8). pp. 875-887. ISSN 2331-2327 doi: 10.1080/15623599.2023.2239438

Abstract/Summary

With the objectives including the reduction of whole life costs, increasing construction and operation efficiencies and enhancing service quality, Public-Private Partnership (PPP) schemes have been increasingly used in healthcare projects throughout the world. Besides its advantages, several issues were reported in the literature regarding the success of healthcare PPPs. Poor project performance is a key concern, while performance is determined by the occurrence of multiple interrelated factors. In this study, it was aimed to develop a network-based success model for PPP healthcare projects, which encompasses the whole project life cycle and various project dimensions, by considering the interdependence among the Critical Success Factors (CSFs). A framework comprised of 33 CSFs organized in six groups was proposed based on the findings of an extensive literature review and semi-structured expert interviews. Project success was modelled with the Analytic Network Process (ANP) through three group discussion sessions held with experts from the private sector. The model was tested via the assessment of two real projects’ performance by the experts. The proposed model, which is a unique attempt in this area, can be used by decision-makers during the pre-tender, planning and execution phases of a PPP healthcare project to develop strategies for performance improvement.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/111871
Identification Number/DOI	10.1080/15623599.2023.2239438
Refereed	Yes
Divisions	Science > School of the Built Environment > Construction Management and Engineering
Publisher	Taylor & Francis
Download/View statistics	View download statistics for this item