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Avila, J, Rapp, R, Dunbar, S and Jackson, A T (2021) Burnout and Worklife in Disaster Restoration: Maslach Burnout Inventory and Areas of Worklife Survey. Journal of Construction Engineering and Management, 147(02).

Chen, S, Tian, Y, Jin, L and Xiang, L (2021) Estimating the Frequency of Exposure to Uncertain Hazards: Impact of Wind Conditions on Concrete Dam Construction. Journal of Construction Engineering and Management, 147(02).

Choi, C, Ryu, K R and Shahandashti, M (2021) Predicting City-Level Construction Cost Index Using Linear Forecasting Models. Journal of Construction Engineering and Management, 147(02).

Correia, J M F, de Oliveira Neto, G C, Leite, R R and da Silva, D (2021) Plan to Overcome Barriers to Reverse Logistics in Construction and Demolition Waste: Survey of the Construction Industry. Journal of Construction Engineering and Management, 147(02).

Gao, X, Pishdad-Bozorgi, P, Shelden, D R and Tang, S (2021) Internet of Things Enabled Data Acquisition Framework for Smart Building Applications. Journal of Construction Engineering and Management, 147(02).

Gunduz, M and Elsherbeny, H A (2021) Critical Assessment of Contract Administration Using Multidimensional Fuzzy Logic Approach. Journal of Construction Engineering and Management, 147(02).

He, Q, Wang, T, Chan, A P C and Xu, J (2021) Developing a List of Key Performance Indictors for Benchmarking the Success of Construction Megaprojects. Journal of Construction Engineering and Management, 147(02).

He, X, Liu, R and Anumba, C J (2021) Data-Driven Insights on the Knowledge Gaps of Conceptual Cost Estimation Modeling. Journal of Construction Engineering and Management, 147(02).

Kaminsky, J (2021) Who Are We Talking To? Situating Construction Engineering and Management Knowledge. Journal of Construction Engineering and Management, 147(02).

Kong, F and Dou, D (2021) Resource-Constrained Project Scheduling Problem under Multiple Time Constraints. Journal of Construction Engineering and Management, 147(02).

Labib, Y N, Lotfallah, W B, Hanna, A S and Boulos, N W (2021) Development and Application of Performance Index for Comparative Assessment of Public Capital Projects. Journal of Construction Engineering and Management, 147(02).

Li, G, Chen, C, Martek, I, Ao, Y and Dai, J (2021) Bid or No-Bid Decision Model for International Construction Projects: Evidential Reasoning Approach. Journal of Construction Engineering and Management, 147(02).

O’Connor, J T and Koo, H J (2021) Proactive Design Quality Assessment Tool for Building Projects. Journal of Construction Engineering and Management, 147(02).

Panwar, A and Jha, K N (2021) Integrating Quality and Safety in Construction Scheduling Time-Cost Trade-Off Model. Journal of Construction Engineering and Management, 147(02).

Ryu, J, Diraneyya, M M, Haas, C T and Abdel-Rahman, E (2021) Analysis of the Limits of Automated Rule-Based Ergonomic Assessment in Bricklaying. Journal of Construction Engineering and Management, 147(02).

Srijaroen, C, Hoy, M, Horpibulsuk, S, Rachan, R and Arulrajah, A (2021) Soil–Cement Screw Pile: Alternative Pile for Low- and Medium-Rise Buildings in Soft Bangkok Clay. Journal of Construction Engineering and Management, 147(02).

Wang, B, Cui, Q and Zhang, S (2021) Noncompete Provision Design for Transportation PPP Projects. Journal of Construction Engineering and Management, 147(02).

Zhang, L, Fu, Y and Lu, W (2021) Contract Enforcement for Claimants’ Satisfaction with Construction Dispute Resolution: Moderating Role of Shadow of the Future, Fairness Perception, and Trust. Journal of Construction Engineering and Management, 147(02).

Zhu, F, Hu, H, Xu, F and Tang, N (2021) Predicting the Impact of Country-Related Risks on Cost Overrun for Overseas Infrastructure Projects. Journal of Construction Engineering and Management, 147(02).

  • Type: Journal Article
  • Keywords: Overseas infrastructure projects; Cost overrun; Country risk; Case-based reasoning; Grey relational analysis;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001959
  • Abstract:
    Given the complexity of overseas infrastructure projects (OIPs), difficulty in managing country-related risks commonly causes cost overruns. Thus, there is a pressing need for proactively predicting the impact of country-related risks to enable reasonable decision making in the early proposal stage. Different from the previous studies that heavily relied on a large number of sample points, this research proposes a case-based reasoning (CBR) method capable of reliably predicting the impact of country-related risks on cost overruns for OIPs from a small size of sample points. Grey relational analysis (GRA) is applied twice to address the challenges associated with many variables. Finally, a case study is conducted to validate the reliability of the proposed method. Importantly, this research includes a structured process to develop CBR methods for prediction tailored to different construction companies, hence increasing the adaptability.