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Kumar, V and Lin, E T A (2020) Conceptualizing “COBieEvaluator”. Engineering, Construction and Architectural Management, 27(05), 1093–118.

Liu, D, Wang, Y, Chen, J and Zhang, Y (2019) Intelligent compaction practice and development: a bibliometric analysis. Engineering, Construction and Architectural Management, 27(05), 1213–32.

Lu, W, Tam, V W, Chen, H and Du, L (2020) A holistic review of research on carbon emissions of green building construction industry. Engineering, Construction and Architectural Management, 27(05), 1065–92.

Viswanathan, S K and Jha, K N (2020) Critical risk factors in international construction projects. Engineering, Construction and Architectural Management, 27(05), 1169–90.

Yun, L, Wan, J, Wang, G, Bai, J and Zhang, B (2020) Exploring the missing link between top management team characteristics and megaproject performance. Engineering, Construction and Architectural Management, 27(05), 1039–64.

Zaman, U (2020) Examining the effect of xenophobia on “transnational” mega construction project (MCP) success. Engineering, Construction and Architectural Management, 27(05), 1119–43.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-05-2019-0227
  • Abstract:
    The purpose of this paper is to argue that modern-day xenophobia has emerged as one of the high-risk factors for transnational mega construction projects (MCP’s). While research in transnational MCP’s remains surprisingly under-explored, this study aimed to examine how transformational leadership (TFL) and HPW practices can still achieve MCP success despite the rise of xenophobia in the global construction industry. Design/methodology/approach This study examined survey-based sample evidence from 220 respondents including project team members (operational, quality and technical), project stakeholders (e.g. regulatory authority, subcontractors, functional managers, etc.) and project clients/sponsors. Partial least squares structural equation modeling (PLS-SEM) technique was employed to test the theoretical hypotheses and to highlight significance of a holistic and novel framework of MCP success. Findings This study’s core finding unveiled a significantly negative effect of xenophobia on MCP success (ß=−0.389, t=5.574, p<0.000). Interestingly, PLS-SEM results also showed a significantly negative effect of TFL on MCP success (ß=−0.172, t=2.323, p<0.018), whereas HPW practices demonstrated a significantly positive effect on MCP success (ß=0.633, t=9.558, p<0.000). In addition, xenophobia and MCP success relationship were positively moderated by TFL (ß=0.214, t=2.364, p<0.018) and HPW practices (ß=0.295, t=3.119, p<0.002), respectively. Research limitations/implications This study underscores the importance of TFL and HPW practices in explaining the linkage between xenophobia and MCP success. Besides advancement of broader multi-disciplinary research and cross-pollination of research ideas, this study also offers unique research direction to explore the potential impact of TFL and HPW practices in demographically diverse project settings especially in countries where xenophobia has swiftly become inevitable. Practical implications As many countries undertake MCP’s with national pride and high strategic importance, this study provides an exemplary model of transnational MCP success. This study shows that conscious use of TFL and HPW practices could guard against escalating xenophobia in the global construction industry. Originality/value This study is first to provide an empirically grounded model of MCP success that collectively examines the role of xenophobia, TFL and HPW practices. This research has developed practical references for transnational construction companies in strategic planning and management of MCP’s.

Zhang, J, Li, H, Golizadeh, H, Zhao, C, Lyu, S and Jin, R (2020) Reliability evaluation index for the integrated supply chain utilising BIM and lean approaches. Engineering, Construction and Architectural Management, 27(05), 997–1038.

Zhu, D, Wen, H and Deng, Y (2020) Pro-active warning system for the crossroads at construction sites based on computer vision. Engineering, Construction and Architectural Management, 27(05), 1145–68.

Zhu, F, Wang, L, Yu, M and Yang, X (2020) Quality of conflict management in construction project context. Engineering, Construction and Architectural Management, 27(05), 1191–211.