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Ali, A K (2019) A case study in developing an interdisciplinary learning experiment between architecture, building construction, and construction engineering and management education. Engineering, Construction and Architectural Management, 26(09), 2040–59.

Chan, D W, Olawumi, T O and Ho, A M (2019) Critical success factors for building information modelling (BIM) implementation in Hong Kong. Engineering, Construction and Architectural Management, 26(09), 1838–54.

Chen, Y, Yin, Y, Browne, G J and Li, D (2019) Adoption of building information modeling in Chinese construction industry. Engineering, Construction and Architectural Management, 26(09), 1878–98.

  • Type: Journal Article
  • Keywords: China; Construction industry; Adoption; Building information modelling; Technology-organization-environment framework;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-11-2017-0246
  • Abstract:
    Building information modeling (BIM) is recognized as a major innovation in the architecture, engineering, and construction (AEC) industry. Understanding the factors that influence the AEC’s adoption of BIM will benefit the research and practice of BIM. The paper aims to discuss these issues. Design/methodology/approach This study provides empirical evidence for the accumulated knowledge of BIM adoption by examining the context of Chinese construction industry. Based on the technology-organization-environment (TOE) framework in the innovation diffusion literature, the authors develop a research model that integrates the critical success factors related to the technology of BIM, the construction company and the environment in Chinese construction industry. The authors collected two different data sets from engineering consulting firms and construction firms in China, and conducted rigorous analyses using a sophisticated statistical approach. Findings The authors found that the relative advantage of BIM was a major factor that enabled BIM adoption, while the complexity of BIM was an inhibiter. In addition, management support was also a significant antecedent of BIM adoption. However, organizational readiness was significant for engineering consulting firms but not for construction firms. Surprisingly, the authors did not find consistent significant impacts of any environmental factors. Last, younger firms were more likely to adopt BIM. Originality/value One of the first to apply the TOE framework to integrate three groups of factors that may explain BIM adoption in China. Such a comprehensive framework provides a much broader perspective of BIM adoption to evaluate the impacts of different antecedent factors. The authors conducted an empirical study based on survey data collected from two different types of companies, i.e., engineering consulting firms and construction firms, representing the two parties in the principal-agent relationship of a construction project. One of the first to apply a sophisticated statistical approach, i.e., partial least squares, to analyze the data in the BIM literature.

Gao, J, Ren, H and Cai, W (2019) Risk assessment of construction projects in China under traditional and industrial production modes. Engineering, Construction and Architectural Management, 26(09), 2147–68.

Iskandar, K A, Hanna, A S and Lotfallah, W (2019) Modeling the performance of healthcare construction projects. Engineering, Construction and Architectural Management, 26(09), 2023–39.

Jin, R, Zou, P X, Li, B, Piroozfar, P and Painting, N (2019) Comparisons of students’ perceptions on BIM practice among Australia, China and UK. Engineering, Construction and Architectural Management, 26(09), 1899–923.

Laryea, S (2019) Procurement strategy and outcomes of a new universities project in South Africa. Engineering, Construction and Architectural Management, 26(09), 2060–83.

Lavikka, R H, Kyrö, R, Peltokorpi, A and Särkilahti, A (2019) Revealing change dynamics in hospital construction projects. Engineering, Construction and Architectural Management, 26(09), 1946–61.

Lee, C (2019) Financing method for real estate and infrastructure development using Markowitz’s portfolio selection model and the Monte Carlo simulation. Engineering, Construction and Architectural Management, 26(09), 2008–22.

Manu, P, Mahamadu, A, Booth, C, Olomolaiye, P O, Coker, A, Ibrahim, A and Lamond, J (2019) Infrastructure procurement capacity gaps in Nigeria public sector institutions. Engineering, Construction and Architectural Management, 26(09), 1962–85.

Marefat, A, Toosi, H and Mahmoudi Hasankhanlo, R (2019) A BIM approach for construction safety: applications, barriers and solutions. Engineering, Construction and Architectural Management, 26(09), 1855–77.

Nadafi, S, Moosavirad, S H and Ariafar, S (2019) Predicting the project time and costs using EVM based on gray numbers. Engineering, Construction and Architectural Management, 26(09), 2107–19.

Pantzartzis, E, Price, A and Edum Fotwe, F (2019) Roadmap layers and processes: resilient and sustainable care facilities. Engineering, Construction and Architectural Management, 26(09), 1986–2007.

Panwar, A, Tripathi, K K and Jha, K N (2019) A qualitative framework for selection of optimization algorithm for multi-objective trade-off problem in construction projects. Engineering, Construction and Architectural Management, 26(09), 1924–45.

Roberts, C, Edwards, D J, Hosseini, M R, Mateo-Garcia, M and Owusu-Manu, D (2019) Post-occupancy evaluation: a review of literature. Engineering, Construction and Architectural Management, 26(09), 2084–106.

Wu, C, Chen, C, Jiang, R, Wu, P, Xu, B and Wang, J (2019) Understanding laborers’ behavioral diversities in multinational construction projects using integrated simulation approach. Engineering, Construction and Architectural Management, 26(09), 2120–46.