Fuzzy synthetic evaluation of moral hazard and adverse selection of public private partnership projects

被引：19

作者：

Owusu-Manu, De-Graft ^{[1
]}

Kukah, Augustine Senanu Komla ^{[2
]}

Edwards, David John ^{[3
,4
]}

Ameyaw, Ernest Effah ^{[5
]}

机构：

[1] Kwame Nkrumah Univ Sci & Technol, Dept Construct Technol & Management, Kumasi, Ghana

[2] Kwame Nkrumah Univ Sci & Technol, Inst Distance Learning, Kumasi, Ghana

[3] Fac Comp Engn & Built Environm, Birmingham, W Midlands, England

[4] Univ Johannesburg, Johannesburg, South Africa

[5] Northumbria Univ, Dept Architecture & Built Environm, Newcastle Upon Tyne, Tyne & Wear, England

来源：

INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT | 2023年 / 23卷 / 11期

关键词：

Moral hazard; adverse selection; public-private-partnership; construction projects; fuzzy synthetic evaluation model; CRITICAL SUCCESS FACTORS; ASYMMETRIC INFORMATION; PPP PROJECTS; WATER; MODEL; REPUTATION;

D O I：

10.1080/15623599.2021.2010356

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Moral hazards and adverse selection (MHAS) lead to failure in public-private partnership (PPP) projects and delay in delivery outputs' requirements. This research developed a fuzzy synthetic evaluation model (FSEM) to measure cause and effect level of MHAS of PPP construction projects. Mean score ranking and principal component factor analysis (PCFA) evaluated the causal factors. FSEM calculated overall cause and effect (OCE) level. PCFA analysis yielded three components: party and risk factors, incentives and contractual obligations and contract and project conditions while FSEM determined the OCE level to be 3.92. Party and risk factors; incentives and contractual obligations; contract and project conditions had cause and effect levels of 3.99, 3.99 and 3.79. Findings will enhance knowledge on MHAS risk levels of PPP construction projects thereby prompting project stakeholders to reduce the risks. Further research recommends using computer-based systems to minimize complexities and human errors during manual computation of fuzzy analysis.

引用

页码：1805 / 1814

页数：10

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