Abstracts – Browse Results
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Goel, A, Ganesh, L and Kaur, A (2020) Social sustainability considerations in construction project feasibility study: a stakeholder salience perspective. Engineering, Construction and Architectural Management, 27(07), 1429–59.
Karami, H and Olatunji, O A (2020) Critical overrun causations in marine projects. Engineering, Construction and Architectural Management, 27(07), 1579–94.
Li, G, Chen, C, Zhang, G and Martek, I (2019) Bid/no-bid decision factors for Chinese international contractors in international construction projects. Engineering, Construction and Architectural Management, 27(07), 1619–43.
Pablo, Z and London, K A (2020) Stable relationality and dynamic innovation: two models of collaboration in SME-driven offsite manufacturing supply chains in housing construction. Engineering, Construction and Architectural Management, 27(07), 1553–77.
Rostamnezhad, M, Nasirzadeh, F, Khanzadi, M, Jarban, M J and Ghayoumian, M (2020) Modeling social sustainability in construction projects by integrating system dynamics and fuzzyâ€DEMATEL method: a case study of highway project. Engineering, Construction and Architectural Management, 27(07), 1595–618.
Wang, G, Xia, C and Cao, D (2020) State and determinants of inter-regional market entry practices in the Chinese construction industry: evidence from national quality award projects. Engineering, Construction and Architectural Management, 27(07), 1461–77.
Xue, J, Shen, G Q, Yang, R J, Zafar, I, Ekanayake, E, Lin, X and Darko, A (2020) Influence of formal and informal stakeholder relationship on megaproject performance: a case of China. Engineering, Construction and Architectural Management, 27(07), 1505–31.
Yap, J B H, Leong, W J and Skitmore, M (2020) Capitalising teamwork for enhancing project delivery and management in construction: empirical study in Malaysia. Engineering, Construction and Architectural Management, 27(07), 1479–503.
Yuan, F, Tang, M and Hong, J (2020) Efficiency estimation and reduction potential of the Chinese construction industry via SE-DEA and artificial neural network. Engineering, Construction and Architectural Management, 27(07), 1533–52.