Abstract
Over the past few decades, public–private partnerships have predominantly gained momentum not only in developed countries but also in developing countries. The project under PPP involves variety and variability of participants who will have different perspectives and outlook toward project success. This research paper is targeted to discover, scrutinize, and recapitulate the significant variables which uphold success using the PLS-SEM model among all the variables adopted. In this current study, the demographic profile of the respondents was harmonized with the nine domains, which have a considerable impact on project success, which in turn promotes the predetermined success outcomes of the PPP projects. The findings suggest that the demographic profile of the respondents includes experience, the number of projects handled, project size and location, educational qualification, and field of expertise has a 66 percent impact on achieving success. The value obtained for R square (0.660) has a considerable effect on attaining the success of PPP in construction projects.
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Chidambaram, V., Tamilmaran, V. PLS-SEM Approach for Predicting the Success of Public–Private Partnerships in Construction Projects: Indian Context. Iran J Sci Technol Trans Civ Eng 44, 1309–1321 (2020). https://doi.org/10.1007/s40996-020-00431-8
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DOI: https://doi.org/10.1007/s40996-020-00431-8