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      Investigating the Critical Factors of Professionals’ BIM Adoption Behavior Based on the Theory of Planned Behavior

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          Abstract

          In recent years, building information modeling (BIM) has been receiving growing interest from the construction industry of China. Nevertheless, although BIM has many foreseeable advantages, many studies claimed that these advantages have not been sufficiently achieved in practice at the current stage. In this circumstance, it is interesting to investigate what really drives the adoption of BIM. Based on Ajzen’s theory of planned behavior (TPB), a hypothetical model which involves nine latent variables is initially established. Then, a questionnaire is designed and distributed to the construction professionals in the Chinese context. After reliability and validity analysis, the goodness-of-fit of the initial model and the related theoretical assumptions are tested through structural equation modeling (SEM). Based on the modification indicators, a modified model is finally derived. Results show that economic viability and governmental supervision are the most critical factors that influence construction professionals’ BIM adoption behavior in China, sharing weights of 0.37 and 0.34, respectively, whereas other factors play limited roles in this regard. The research findings revealed from this study can provide insightful references for countries that intend to promote BIM adoption in a similar circumstance.

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            Determinants of Consumers' Green Purchase Behavior in a Developing Nation: Applying and Extending the Theory of Planned Behavior

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                15 March 2021
                March 2021
                : 18
                : 6
                : 3022
                Affiliations
                [1 ]Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518000, China; wuzezhou@ 123456szu.edu.cn (Z.W.); jiangmingyang2017@ 123456email.szu.edu.cn (M.J.)
                [2 ]Key Laboratory of Coastal Urban Resilient Infrastructures (MOE), Shenzhen University, Shenzhen 518000, China
                [3 ]Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China; heng.li@ 123456polyu.edu.hk (H.L.); bsericlo@ 123456polyu.edu.hk (X.L.)
                Author notes
                Author information
                https://orcid.org/0000-0002-3187-9041
                Article
                ijerph-18-03022
                10.3390/ijerph18063022
                8001932
                8f70f012-fa1e-4950-9ca9-6e411c7ee666
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 21 January 2021
                : 09 March 2021
                Categories
                Article

                Public health
                building information modeling (bim),theory of planned behavior,bim adoption,critical factors,china

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