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Çevikbaş, M, Okudan, O and Işık, Z (2022) New Delay-Analysis Method Using Modified Schedule and Modified Updated Schedule for Construction Projects. Journal of Construction Engineering and Management, 148(11).
Asghari, V, Wang, Y, Biglari, A J, Hsu, S and Tang, P (2022) Reinforcement Learning in Construction Engineering and Management: A Review. Journal of Construction Engineering and Management, 148(11).
Fathi, M and Shrestha, P P (2022) Public–Private Partnership Project Performance Analysis Compared to Design-Build in Highway Projects. Journal of Construction Engineering and Management, 148(11).
Feng, H, Song, Q, Yin, C and Cao, D (2022) Adaptive Impedance Control Method for Dynamic Contact Force Tracking of Robotic Excavators. Journal of Construction Engineering and Management, 148(11).
Gibson, G E, Sanboskani, H, El Asmar, M and Aramali, V (2022) Employing Technology to Enable Remote Research Charrettes as a Method for Engaging Industry and Uncovering Best Practices: A Novel Approach for a Post-COVID-19 World. Journal of Construction Engineering and Management, 148(11).
González-Cruz, M, Ballesteros-Pérez, P, Lucko, G and Zhang, J (2022) Critical Duration Index: Anticipating Project Delays from Deterministic Schedule Information. Journal of Construction Engineering and Management, 148(11).
Hajarolasvadi, H and Shahhosseini, V (2022) A System-Dynamic Model for Evaluating the Effect of Person–Team Fit on Project Performance. Journal of Construction Engineering and Management, 148(11).
Hebiba, A M, Bouferguene, A, Moon, S and Han, S (2022) Wind-Wise Automated Stability Analysis for Selection of Tower Crane and Location. Journal of Construction Engineering and Management, 148(11).
Li, L, Luan, H, Yin, X, Dou, Y, Yuan, M and Li, Z (2022) Understanding Sustainability in Off-Site Construction Management: State of the Art and Future Directions. Journal of Construction Engineering and Management, 148(11).
Liu, J, Wang, Y and Wang, Z (2022) Effect of Pressure on Construction Company Compliance Attitudes: Moderating Role of Organizational Ethical Climate. Journal of Construction Engineering and Management, 148(11).
Ma, H, Lv, K, Zeng, S, Lin, H and Shi, J J (2022) Climbing the Pyramid of Megaproject Social Responsibility: Impacts of External Stakeholders and Project Complexity. Journal of Construction Engineering and Management, 148(11).
Moharrami, S, Bayat, A and AbouRizk, S (2022) Modeling Microtunnel Boring Machine Penetration Rate Using a Mechanistic Approach. Journal of Construction Engineering and Management, 148(11).
Sharif, M M, Chuo, S and Haas, C T (2022) Rapid 3D Quality Control in Prefabrication Using a 3D Digital-Templates Framework. Journal of Construction Engineering and Management, 148(11).
Sun, G, Sun, J and Li, F (2022) Influencing Factors of Early Termination for PPP Projects Based on Multicase Grounded Theory. Journal of Construction Engineering and Management, 148(11).
- Type: Journal Article
- Keywords: Public-private partnership (PPP); Early termination; Influencing factors; Multicase grounded theory; Interpretive structural model (ISM);
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002388
- Abstract:
The public-private partnership (PPP) model has been widely used in infrastructure projects around the world to alleviate government shortages of funding and practical experience. Although the early termination of PPP projects frequently occurs in different parts of the world and brings huge economic losses, there are few relevant studies on its influencing factors. Most of influencing factor identification models are subjective and do not consider dependencies and feedback relationships between influencing factors. Using the data of 113 PPP projects, this paper proposes a multicase grounded theory and an interpretative structural model (ISM) to identify the key influencing factors of early termination and to analyze the hierarchical structure among influencing factors. The results show that there are 53 factors leading to the early termination of PPP projects, which can be divided into 19 main categories and 7 levels. Among them, political environment and natural environment are the most fundamental factors. In addition, a 3-level coping strategy is developed based on the constructed multilevel hierarchical model. The proposed methodology can be applied to risk analysis of early termination of PPP projects, and can help decision makers formulate strategies by considering the interaction of influencing factors.
Zuo, F, Zio, E and Yuan, Y (2022) Risk-Response Strategy Optimization Considering Limited Risk-Related Resource Allocation and Scheduling. Journal of Construction Engineering and Management, 148(11).