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pro vyhledávání: '"Robert L. K. Tiong"'
Autor:
Wibowo, Andreas1
Publikováno v:
Journal of Construction Engineering & Management. Mar2005, Vol. 131 Issue 3, p385-386. 2p.
Publikováno v:
Journal of Construction Engineering and Management. 131:386-387
Autor:
Andreas Wibowo
Publikováno v:
Journal of Construction Engineering and Management. 131:385-386
Akademický článek
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Publikováno v:
Engineering, Construction and Architectural Management. 29:3267-3287
PurposeAs a pillar of integrated digital delivery (IDD), building information modeling demonstrates the tremendous potential to enhance productivity for the architectural, engineering and construction (AEC) industry worldwide. However, the implementa
Publikováno v:
Journal of Construction Engineering and Management. 148
Public–Private Partnership Contract Failure Prediction Using Example-Dependent Cost-Sensitive Models
Autor:
Yongqi Wang, Robert L. K. Tiong
Publikováno v:
Journal of Management in Engineering. 38
Failure of a public–private partnership (PPP) contract could cause heavy losses to sponsors. However, the current machine learning models neglect misclassification costs when predicting PPP...
Publikováno v:
Sustainability; Volume 13; Issue 24; Pages: 14012
Sustainability, Vol 13, Iss 14012, p 14012 (2021)
Sustainability, Vol 13, Iss 14012, p 14012 (2021)
PPP withdrawal policy is helpful to reduce over-investment in PPPs leading to sustainable development. However, little is known about the role of local governments on over-investment in PPPs. Using the PPP Project Platform Data, a unique dataset, thi
Public–private partnership (PPP) is increasingly encouraged to deliver public services in developing countries. Many studies have been conducted to identify factors that affect PPP contract failure. Although a country's PPP experience is of great i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae421309fd3ce8e096182b7ff4187e67
https://hdl.handle.net/10356/160263
https://hdl.handle.net/10356/160263
The public-private partnership (PPP) has been adopted by many governments in developing countries to provide better public services. However, PPP projects have a high risk of contract failure. To proactively predict PPP contract failure and obtain th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7abfb010f05ba97ff3c8cb7762c9f087
https://hdl.handle.net/10356/160451
https://hdl.handle.net/10356/160451