Is Public–Private Partnership (PPP) a Preferred Strategy for Procuring Smart Infrastructure in Developed Countries: An Empirical Study of the Perceived Benefits, Barriers and Recommended Strategies

Attention to Smart Infrastructure (SI) has risen due to its advantages, including better access, increased quality of life, and simplified maintenance management. To develop SI, Public–Private Partnerships (PPPs) are identified as potentially beneficial procurement strategies, which boost capacities...

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Bibliographic Details
Published inSustainability Vol. 14; no. 11; p. 6421
Main Authors Jayasena, Nimesha Sahani, Chan, Daniel W. M, Kumaraswamy, Mohan M
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2022
Subjects
Citizen participation
Cost control
COVID-19
Developed countries
Developing countries
Industrial nations
Industrialized nations
Infrastructure
Infrastructure (Economics)
LDCs
Literature reviews
Maintenance management
Multivariate statistical analysis
Pandemics
Partnerships
Political factors
Public health
Public sector
Public-private sector cooperation
Quality of life
R&D
Research & development
Risk management
Scientific papers
Smart cities
Structural equation modeling
Success
Sustainability
User satisfaction
Australia
United States > US
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Summary:Attention to Smart Infrastructure (SI) has risen due to its advantages, including better access, increased quality of life, and simplified maintenance management. To develop SI, Public–Private Partnerships (PPPs) are identified as potentially beneficial procurement strategies, which boost capacities to manage risks by pooling diverse resources. However, the applicability of PPP in SI developments in developed countries is scarcely researched. This may be due to underestimating the other potential benefits from PPP, although developed countries may have their own funding to develop SI. Hence, this research aims to evaluate the significant factors influencing the success of PPP in SI projects in developed countries based on public-sector satisfaction (S1), private-sector satisfaction (S2), and end-user satisfaction (S3). A comprehensive literature review was followed by expert interviews and an international survey, focusing on developed countries. The Partial Least Squares Structural Equation Modeling (PLS-SEM) technique was applied to map the connections amongst the influencing factors and S1, S2, and S3. The results reveal that legal and political-related factors significantly impact on S2 and S3, while social barriers significantly impact on S1. The effect of the constructs and factors on S1, S2, and S3 along with their rankings are unveiled in this research paper, providing a sound basis to increase success levels and minimize shortfalls in PPP to boost SI developments in developed countries.
ISSN:2071-1050
2071-1050
DOI:10.3390/su14116421