scholarly journals Cultural orientations and strategic capability for the adoption of building information modeling in construction firms

2021 ◽  
Author(s):  
Kudirat Ibilola Zakariyyah ◽  
Iniobong Beauty John ◽  
Irewolede Aina Ijaola
Keyword(s):  
Building Information Modeling ◽  
Information Modeling ◽  
Construction Firms ◽  
Cultural Orientations ◽  
Building Information ◽  
Strategic Capability

scholarly journals Diffusion of Building Information Modeling in Building Projects and Firms in Singapore

2020 ◽  
Vol 12 (18) ◽  
pp. 7762
Author(s):  
Longhui Liao ◽  
Evelyn Ai Lin Teo ◽  
Ruidong Chang ◽  
Xianbo Zhao
Keyword(s):  
Building Information Modeling ◽  
Practical Experience ◽  
Information Modeling ◽  
Project Leadership ◽  
Building Projects ◽  
Construction Firms ◽  
Design Coordination ◽  
Building Information ◽  
Coordination Training ◽  
Survey Interviews

Building information modeling (BIM) implementation has been mandated in building projects in Singapore, but a wider adoption is still desired. This study aims to investigate the factors influencing BIM diffusion and examine how the factors influence firms with different project roles, firm sizes, and BIM implementation experience. The results of a pilot study, a questionnaire survey with 89 professionals, and five post-survey interviews showed that hindrances related to inadequate multi-party collaboration (whether formal or informal), conservative mindset, limited skills, costly infrastructure and training, and multi-discipline model integration were the most influential, whereas drivers associated with project leadership team’s strategic consensus, multi-disciplinary design coordination, training, and government regulations were top-ranked. Subgroup analyses between pairs of firms with different characteristics revealed that while construction firms and less experienced stakeholders tended to underestimate BIM implementation difficulties, small-medium contractors might underestimate relevant benefits. The findings and managerial recommendations help different types of firms prioritize resources to overcome hindrances, seize opportunities (such as gaining a competitive edge from BIM practical experience), and obtain support from workers executing BIM daily. With major stakeholders’ recognition and implementation, BIM can be successfully diffused in building projects and firms. The Singapore government and other countries can refer to this study when further issuing BIM diffusion policies.

Towards City Information Modeling

2019 ◽  
pp. 105-120
Author(s):  
Abdalrahman T. Y. Alashi ◽  
Turgay Kerem Koramaz
Keyword(s):  
Building Information Modeling ◽  
Three Dimensional ◽  
Geographic Information ◽  
Decision Makers ◽  
Information Modeling ◽  
Construction Firms ◽  
Architectural Engineering ◽  
Building Information ◽  
Three Dimensional Models ◽  
Design Construction

In the past two decades, building information modeling (BIM) has been widely adopted by architectural, engineering, and construction firms. Its technology is based on the integration and coordination of different disciplines and professions. It involves creating three-dimensional models containing data that can be organized and manipulated to serve design, construction, and operational phases. This raises the debate over how the existence of a platform that enables urban planners and decision makers of different disciplines is so crucial. Several research studies have recently been done to integrate BIM with geographic information systems (GIS) for numerous purposes, as illustrated by several case studies. This chapter comparatively analyzes different cases, given general acknowledgment of each. Problems and potentials of the existence of such integration will be defined, in order to estimate the need for such a platform. Finally, a model of integration between different disciplines was illustrated as a motivation for further studies in the future concerning this topic.

Adoption of building information modeling in Chinese construction industry

2019 ◽  
Vol 26 (9) ◽  
pp. 1878-1898 ◽  
Author(s):  
Yilin Chen ◽  
Yilin Yin ◽  
Glenn J. Browne ◽  
Dahui Li
Keyword(s):  
Construction Industry ◽  
Statistical Approach ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Content Type ◽  
Construction Firms ◽  
Engineering Consulting ◽  
Consulting Firms ◽  
Building Information ◽  
Toe Framework

Purpose 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.

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