Abstract
Although building information modeling (BIM) has a promising future in the architecture, engineering and construction industry, its wider adoption and implementation is desired. Grounded with a technology-organization-environment (TOE) framework and the theory of technology acceptance model (TAM), this study extracted “social influence”, “organizational support”, “BIM technical features”, and “government BIM policies” as four key external antecedents—in reference to the particular BIM practices in China—and proposed a model to predict project owners’ BIM adoption behaviors. To test the proposed model, structural equation modeling (SEM) analysis was applied for configuration analyses on a sample of 188 project owners from the Chinese construction industry. Results show that BIM technical features, and government BIM policies have positive effects on perceived usefulness, but social influence and organizational support have no significant influence on perceived usefulness. Furthermore, both social influence and BIM technical features have positive effects on perceived ease of use, while organizational support and government BIM policies have no significant influence on perceived ease of use. Attitude plays a significant intermediary role among perceived usefulness, perceived ease of use and behavior intention. Additionally, attitude significantly affects behavior intention, and behavior intention can also affect BIM adoption behavior. This study is the first attempt to investigate project owners’ behaviors toward BIM adoption and the findings are expected to provide a better understanding of the essential elements of project owners’ BIM adoption behaviors and guide industry practitioners in developing proper strategies to achieve more effective BIM implementation.
Highlights
In the last decade, with the rise of information technologies (ITs), a paradigm shift of industrial informatization has translated into a critical national strategy [1,2,3]
We extend the classical technology acceptance model (TAM) by identifying “social influence”, “organizational support”, “building information modeling (BIM) features”, and “government BIM policies” based on the TOE framework as external variables and propose a conceptual model to predict project owners’ BIM adoption behavior (SsuesteaiFnaigbiulitrye230)1.9,T1h1,exmFOoRdPeEl EisReRxEpVlIaEiWned with detailed research hypotheses in the following sectio5no.f 18
Differing from previous TAM-based studies confirming that perceived usefulness (PU) has a significantly positive influence on attitude (AT), this study shows that attitude mediates between perceived usefulness and perceived ease of use
Summary
With the rise of information technologies (ITs), a paradigm shift of industrial informatization has translated into a critical national strategy [1,2,3]. As a pillar of the domestic economy, the architecture, construction and engineering (AEC) industry in China is on the cusp of transition from an extensive and high-consumption pattern to a new one driven by high efficiency, sustainability and informatization. According to Eastman et al [4], BIM is “a new approach to design, construction, and facilities management, in which a digital representation of the building process (is used) to facilitate the exchange and interoperability of information in digital format”. In the meantime, existing literature suggests the integration of environment and economic assessment for the promotion of sustainable construction is considerably important [5,6], and it happens that BIM is an ideal tool which can integrate the assessment of sustainable construction as well as resource management efficiently, such as benefit-cost analysis of economically sustainable design, energy-consumption analysis for a sustainable built environment assessment, architectural information sharing for sustainable facilities management and stakeholder relationship management. A wide adoption and application of BIM is bound to strike and even overturn the traditional development patterns of the Chinese AEC industry, embedding these sustainable assessments throughout project lifecycle and contributing to sustainable project management
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