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Aibinu, A A, Ling, F Y Y and Ofori, G (2011) Structural equation modelling of organizational justice and cooperative behaviour in the construction project claims process: contractors' perspectives. Construction Management and Economics, 29(05), 463–81.

Alemu, S K (2022) Construction time prediction model for public building projects. Engineering, Construction and Architectural Management, 29(05), 2183-206.

Cole, R J (2001) Lessons learned, future directions and issues for GBC. Building Research & Information, 29(05), 355–73.

Deal, B (2001) Ecological urban dynamics: the convergence of spatial modelling and sustainability. Building Research & Information, 29(05), 381–93.

Elkabalawy, M and Moselhi, O (2022) Optimized resource-constrained method for project schedule compression. Engineering, Construction and Architectural Management, 29(05), 2106-29.

Gambatese, J A and Hallowell, M (2011) Factors that influence the development and diffusion of technical innovations in the construction industry. Construction Management and Economics, 29(05), 507–17.

Garay, A, Ruiz, A and Guevara, J (2022) Dynamic evaluation of thermal comfort scenarios in a Colombian large-scale social housing project. Engineering, Construction and Architectural Management, 29(05), 1909-30.

Gunduz, M and Al-Naimi, N H (2022) Construction projects delay mitigation using integrated balanced scorecard and quality function deployment. Engineering, Construction and Architectural Management, 29(05), 2073-105.

Hon, C K H, Sun, C, Xia, B, Jimmieson, N L, Way, K A and Wu, P P Y (2022) Applications of Bayesian approaches in construction management research: a systematic review. Engineering, Construction and Architectural Management, 29(05), 2153-82.

Hou, W and Wang, L (2022) Research on the refinancing capital structure of highway PPP projects based on dynamic capital demand. Engineering, Construction and Architectural Management, 29(05), 2047-72.

Jarkas, A and Horner, M (2011) Revisiting the applicability of learning curve theory to formwork labour productivity. Construction Management and Economics, 29(05), 483–93.

John, S T, Mohan, A, Philip, M S, Sarkar, P and Davis, R (2022) An IoT device for striking of vertical concrete formwork. Engineering, Construction and Architectural Management, 29(05), 1991-2010.

Kim, Y W, Han, S, Shin, S and Choi, K (2011) A case study of activity‐based costing in allocating rebar fabrication costs to projects. Construction Management and Economics, 29(05), 449–61.

Koc, K and Gurgun, A P (2022) Ambiguity factors in construction contracts entailing conflicts. Engineering, Construction and Architectural Management, 29(05), 1946-64.

Larsson, N K and Cole, R J (2001) Green building challenge: the development of an idea. Building Research & Information, 29(05), 45.

Liou, F m, Yang, C h, Chen, B and Chen, W (2011) Identifying the Pareto‐front approximation for negotiations of BOT contracts with a multi‐objective genetic algorithm. Construction Management and Economics, 29(05), 535–48.

Luo, L, Zhang, L, Zheng, X and Wu, G (2022) A hybrid approach for investigating impacts of leadership dynamics on project performance. Engineering, Construction and Architectural Management, 29(05), 1965-90.

Mackley, C J and Milonas, S (2001) Knowledge transfer and Green Building Challenge. Building Research & Information, 29(05), 54.

Pemsel, S and Widén, K (2011) Bridging boundaries between organizations in construction. Construction Management and Economics, 29(05), 495–506.

Plessis, C d (2001) Sustainability and sustainable construction: the African context. Building Research & Information, 29(05), 374–80.

Rahmani, F, Scott-Young, C, Tadayon, A and van der Walt, J D (2022) Team composition in relational contracting (RC) in large infrastructure projects: a Belbin’s team roles model approach. Engineering, Construction and Architectural Management, 29(05), 2027-46.

Said, H, Mali, A and Deshmukh, A (2022) Identification and assessment of the unionization factors of the US electrical construction trade. Engineering, Construction and Architectural Management, 29(05), 2207-31.

Shah, R K and Dawood, N (2011) An innovative approach for generation of a time location plan in road construction projects. Construction Management and Economics, 29(05), 435–48.

Theaker, I G and Cole, R J (2001) The role of local governments in fostering 'green' buildings: a case study. Building Research & Information, 29(05), 394–408.

Thomas Ng, S, Fan, R Y C and Wong, J M W (2011) An econometric model for forecasting private construction investment in Hong Kong. Construction Management and Economics, 29(05), 519–34.

Todd, J A, Crawley, D, Geissler, S and Lindsey, G (2001) Comparative assessment of environmental performance tools and the role of the Green Building Challenge. Building Research & Information, 29(05), 324–35.

Wang, P, Fenn, P, Wang, K and Huang, Y (2022) A Bayesian belief network predictive model for construction delay avoidance in the UK. Engineering, Construction and Architectural Management, 29(05), 2011-26.

Zhang, N, Deng, X, Hwang, B G, Bi, M and Mahmoudi, A (2022) A novel approach to selecting the best partner for high-speed rail firms. Engineering, Construction and Architectural Management, 29(05), 2130-52.

  • Type: Journal Article
  • Keywords: competitive advantage; evolutionary game theory; international hsr firms; partner selection
  • ISBN/ISSN:
  • URL: https://doi.org/10.1108/ECAM-02-2021-0110
  • Abstract:

    Purpose: This paper aims to develop a partner selection approach for the high-speed rail (HSR) firms from the perspective of achieving competitive advantage in the international competitive bidding sphere. Design/methodology/approach: The current study developed a partner selection approach based on the evolutionary game theory. Firstly, the current study identified the influencing variables and logical formation path of competitive advantage on the international HSR project by literature review and case analysis. After that, a pay-off model was developed based on the theoretical foundation. Meanwhile, the evolutionary stable strategy was analyzed for different combinations of initial pay-offs. Findings: A real-world case was simulated to verify the effectiveness of the developed approach. The simulation results secured support from three industry professionals, indicating the developed approach is valid. Originality/value: The current study can help HSR firms to select their partners and develop a cooperation strategy from the perspective of winning awards. Also, the proposed approach is based on the advantage driving variables and formation path, which can contribute to HSR firms’ understanding of the sources of competitive advantage.