Computing in Civil Engineering 2017 2017
DOI: 10.1061/9780784480823.027
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A Comprehensive Identification and Categorisation of Drivers, Factors, and Determinants for BIM Adoption: A Systematic Literature Review

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Cited by 16 publications
(10 citation statements)
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“…The current study extends the research of Succar et al (2013) by linking organizational features into individual perceptions, with two organizational factors studied, namely employer type and organization size. It leads to future studies on more organization factors’ effects on individual perceptions toward BIM adoption, as guided by Ahmed et al (2017). It follows the recommendation from Xu et al (2018) by exploring the BIM adoption in less BIM-developed regions.…”
Section: Discussion and Summarymentioning
confidence: 82%
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“…The current study extends the research of Succar et al (2013) by linking organizational features into individual perceptions, with two organizational factors studied, namely employer type and organization size. It leads to future studies on more organization factors’ effects on individual perceptions toward BIM adoption, as guided by Ahmed et al (2017). It follows the recommendation from Xu et al (2018) by exploring the BIM adoption in less BIM-developed regions.…”
Section: Discussion and Summarymentioning
confidence: 82%
“…Different from previous BIM adoption-based studies conducted in China, such as Ding et al (2015) and by Zhao et al (2018) in which the survey populations were limited to designers, this study recruited a variety of different employer types. Although adopting Chongqing as the regional case study, this research could be implied in the international context in terms of the organizational features emphasized by Ahmed et al (2017) and Wan Mohammad et al (2018). Subgroup analyses were performed according to survey participants’ employer type and organization size.…”
Section: Discussion and Summarymentioning
confidence: 99%
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“…Also, for environment-related indicators, Wang et al (2016) concluded that environment-related indicators are one of the five most essential factors affecting the adoption of BIM in China. Ahmed et al (2017) found that external forces are considered one of the significant factors influencing BIM adoption decisions. Additionally, environmental and social factors are indicated as influential factors (Monko et al, 2017).…”
Section: Measurement Modelmentioning
confidence: 99%