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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 fuzzy‐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.

  • Type: Journal Article
  • Keywords: China; Construction industry; Inter-regional market entry; Market selection factors;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-06-2019-0336
  • Abstract:
    Due to the lack of industrywide data, now there is only perceptual knowledge, through survey data, that construction firms may face great challenges in geographical diversification. The article aims to provide an objective description on the state of interregional market entry practices in the Chinese construction industry. How these practices are influenced by related set of regional and industry-related factors is further studied.Design/methodology/approach Description analysis of the practices is first performed based on a first-hand industrial data set including 1,020 projects and 404 construction firms. Combining provincial panel data in the National Bureau of Statistics of China, related regional and industry-related factors on these practices are further analyzed through hierarchical regression models.Findings (1) Interregional market entry practices are not quite prevalent during the past two decades, only involving 271 projects and 111 firms which accounts for 26.57% and 27.47% of the analyzed subjects respectively; (2) Large, state-owned and experienced firms are more frequently involved in the practices; (3) A number of regional factors such as local market protection and industry scale also significantly impact the practices.Research limitations/implications The empirical analysis of this study was conducted using the specific dataset from the National Quality Award Projects where firms tend to be national, which may limit the generalizability of the findings to the whole industry contexts.Originality/value While most of the research on market entry practices in the project-based construction industry is undertaken at project or firm level based on survey data, this research represents an exploratory effort of using objective data to provide a macro overview of the practices at the industry level. The findings could contribute to a deepened understanding of how these practices are impacted by related regional- and industry-level factors.

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.