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contributor authorYing Hong
contributor authorAhmed Hammad
contributor authorXiaoyang Zhong
contributor authorBeibei Wang
contributor authorAli Akbarnezhad
date accessioned2022-01-30T19:20:52Z
date available2022-01-30T19:20:52Z
date issued2020
identifier other%28ASCE%29CO.1943-7862.0001746.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4265119
description abstractThe growing rate of building information modeling (BIM) adoption inevitability adds to the importance of understanding the BIM adoption decision-making process. Several models based on systematic surveys are available in the literature to formulate the BIM adoption decision-making process. It is still, however, not clear whether the decision parameters in these models are universally important. This study examines the main attributes of the BIM adoption decision-making process in China and Australia. An adoption model developed earlier for Australia is tested for Chinese data collected from 103 small and medium construction companies (SMEs). By highlighting model fitness issues, the model is then reconstructed for comparing BIM adoption in cross-cultural contexts. Data are analyzed using a logistic regression to understand the main factors impacting BIM adoption. Structural equation modeling based on multigroup analysis is also adopted in the analysis. The analysis indicates that Australian construction SMEs adopt BIM to solve organizational collaboration problems and improve workflow efficiency, whereas Chinese construction SMEs adopt BIM to improve organizational technical ability. The results of this study highlighted the Chinse companies tend to be more careful during the implementation of new technology to minimize uncertainty, whereas BIM adoption decision makers in Australian companies are more focused on change management and empowering subordinates.
publisherASCE
titleComparative Modeling Approach to Capture the Differences in BIM Adoption Decision-Making Process in Australia and China
typeJournal Paper
journal volume146
journal issue2
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)CO.1943-7862.0001746
page04019099
treeJournal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 002
contenttypeFulltext


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