scholarly journals Acceptance Model for Mobile Building Information Modeling (BIM)

2019 ◽  
Vol 9 (18) ◽  
pp. 3668 ◽  
Author(s):  
Hong ◽  
Lee ◽  
Kim ◽  
Yu
Keyword(s):  
Structural Equation ◽  
Building Information Modeling ◽  
Structural Equation Models ◽  
Information Modeling ◽  
Mobile Environment ◽  
Collaborative Performance ◽  
Building Information ◽  
Survey Results ◽  
Acceptance Model ◽  
Significant Factors

Mobile Building Information Modeling (BIM) is noted for tools that enable the systematic interchange of information and contribute to enhancing collaborative performance through BIM. BIM programs, which are continuously available in the mobile environment, have been developed. Moreover, in some sites, mobile BIM is applied to generate benefits in projects. Various efforts are being made to use mobile BIM; however, its utilization is low. Also, mobile BIM has lacked an analysis of the factors that affect actual users’ acceptance of mobile BIM. Therefore, this study analyzes the factors that affect the acceptance of mobile BIM by construction practitioners and presents the association of factors as a model to activate mobile BIM use. To this end, this study analyzed a literature review for suggesting the factors that were expected to affect mobile BIM acceptance. The assessment items were decided based on the analysis result. Second, 111 copies were received by surveying the construction practitioners. Third, it identified factors that significantly affected the acceptance of mobile BIM and proposed models through factor analysis and structural equation models. Finally, based on the analysis, it presented the findings. This study expects to contribute to enhanced acceptance of mobile BIM technology by managing the significant factors properly. Also, it is expected that the result can be used to develop a variety of mobile BIM that is more easily acceptable to them. This study presented a model for accepting mobile BIM based on the survey results of Korean practitioners; therefore, it is necessary to explore ways to generalize the model in the future.

scholarly journals Longitudinal Study on Construction Organization’s BIM Acceptance

2020 ◽  
Vol 10 (15) ◽  
pp. 5358
Author(s):  
Seulki Lee ◽  
Jungho Yu
Keyword(s):  
Longitudinal Study ◽  
Structural Equation ◽  
Information Modeling ◽  
Equation Modeling ◽  
Construction Sites ◽  
Factors Affecting ◽  
Construction Organizations ◽  
Building Information ◽  
Construction Organization ◽  
Acceptance Model

The Korean domestic market is focused on the introduction of BIM (Building Information Modeling) owing to an influx of investment due to increased interest and mandatory application of BIM. However, the rate of BIM introduction is high, while BIM user proficiency is low. Against these problems, the authors proposed an acceptance model for BIM in construction organizations in 2012. As the number of BIM application cases increases and the number of BIM-trained users increases as time goes on, BIM users’ positive perception of BIM values are expected to increase, which may change the BIM acceptance mechanism. Therefore, we conducted a longitudinal study of the 2012 BIM acceptance model against 2019 data to estimate changes in factors affecting BIM acceptance attitudes as well as the mechanism of the relationships between factors over time spent using the technology. To generalize the results, the respondents were spread across construction sites. The data obtained 119 samples from a sample of experienced users of BIM. We used AMOS 21.0 for hypothesis testing of structural equation modeling (SEM), and the 2019 BIM acceptance model was compared against the 2012 acceptance model using an independent sample t-test. As a result, it was confirmed that the 2012 BIM acceptance model is still suitable for describing the BIM acceptance mechanism of the construction organization, and there was a difference between the 2012 model and the 2019 model. This seems to have changed the mechanism of BIM acceptance by being change perception of BIM users as time goes on. The results of this study can be used to establish a BIM activation strategy for each BIM acceptance stage and are expected to be applicable to establishing a BIM activation strategy for construction organizations or countries with similar BIM acceptance stage.

Antecedents of the adoption of building information modeling technology in Korea

2019 ◽  
Vol 26 (8) ◽  
pp. 1735-1749 ◽  
Author(s):  
Eunil Park ◽  
Sang Jib Kwon ◽  
Jinyoung Han
Keyword(s):  
Technology Acceptance ◽  
Organizational Support ◽  
Building Information Modeling ◽  
Ease Of Use ◽  
Information Modeling ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Building Information ◽  
Acceptance Model

Purpose Although the notable and significant role of building information modeling (BIM) technologies in construction industries has gained user attention, only few studies have been examined on the user adoption of the technologies. The purpose of this paper is to introduce an acceptance model for BIM technologies and investigate how external factors which were extracted by in-depth interviews promote the adoption of such technologies. Design/methodology/approach An on-line survey was conducted by two South Korean survey agencies to test the acceptance model for BIM technologies. Then, the structural equation modeling (SEM) and confirmatory factor analysis (CFA) methods were used. Findings The results of the SEM and CFA methods from on-site construction employees (n=818) in Korea collected by the online survey indicate that compatibility and organizational support play a core role in positively and significantly affecting both perceived ease of use and usefulness, and that the connections introduced by the origin technology acceptance model are mainly confirmed. Originality/value Using the findings of the results, both implications and notable limitations are presented. Moreover, practical developers, as well as academic researchers can employ the results when they attempt to conduct future research.

Structural Equation Model of Building Information Modeling Maturity

2016 ◽  
Vol 142 (9) ◽  
pp. 04016032 ◽  
Author(s):  
Yunfeng Chen ◽  
Hazar Dib ◽  
Robert F. Cox ◽  
Mark Shaurette ◽  
Mihaela Vorvoreanu
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Building Information Modeling ◽  
Equation Model ◽  
Information Modeling ◽  
Building Information

scholarly journals Influence of Building Information Modeling (BIM) Implementation in High-Rise Buildings towards Sustainability

2021 ◽  
Vol 11 (16) ◽  
pp. 7626
Author(s):  
Bilal Manzoor ◽  
Idris Othman ◽  
Jong Man Kang ◽  
Zong Woo Geem
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Building Information Modeling ◽  
Empirical Studies ◽  
Building Design ◽  
Information Modeling ◽  
Equation Modeling ◽  
High Rise ◽  
High Rise Building ◽  
Building Information

To secure full benefits without jeopardizing project feasibility, sustainability standards in high-rise building design should be included at all phases of the decision-making process. However, there are limited empirical studies on the influence of building information modeling (BIM) implementation in high-rise buildings. Implementing BIM is a viable technique to improve high-rise building sustainability performance. Therefore, the aim of this research is to explore the influence of BIM implementation in high-rise buildings by integrating the exploratory factor analysis (EFA) and structural equation modeling (SEM) approaches. Following a detailed review of the literature to identify critical success factors (CSFs) for BIM implementation, empirical evidence was gathered through a questionnaire survey with 205 stakeholders in construction projects. The EFA revealed five components, namely, productivity, visualization, coordination, sustainability, and safety improvement, all of which have a significant impact on the long-term construction of high-rise buildings. Moreover, SEM was conducted to develop the model for high-rise buildings. However, it has been revealed that awareness and usage level of BIM technology in high-rise buildings still appears to be limited. This scenario paves the way for future researchers to develop more models in the domain of high-rise buildings in order to improve sustainable development.

scholarly journals Interdisciplinary Framework: A Building Information Modeling Using Structural Equation Analysis in Lean Construction Project Management

2021 ◽  
Author(s):  
Dante Silva ◽  
Kevin Lawrence De Jesus ◽  
Bernard Villaverde ◽  
Andrea Isabelle Enciso ◽  
Amanda Nicole Mecija ◽  
...  
Keyword(s):  
Project Management ◽  
Structural Equation ◽  
Building Information Modeling ◽  
Construction Project ◽  
Lean Construction ◽  
Information Modeling ◽  
Lean Principles ◽  
Construction Companies ◽  
Building Information ◽  
Interdisciplinary Framework

The construction process and construction management are highly reliant on the interaction between the triple constraints of project management of quality: scope, time, and cost. The industry has incorporated certain principles and technology, such as lean-based construction principles and Building Information Modeling (BIM), to maximize the time, quality, and cost-efficiency of various construction projects. Analysis and assessment of the factors and functionalities are needed to show their synergic relationships and determine their significant impact on the construction project using Structural Equation Modeling (SEM). To gather information, a survey was conducted on the different construction companies in the Philippines. The results generated a model interrelating the triple constraints of project management and how they are affected by incorporating BIM and lean construction principles. The models created established a significant relationship towards all the tripe constraints considering both individual and combined functionalities and factors. An interdisciplinary framework incorporating both BIM and lean principles is conformed to optimize construction stages based on the triple constraints of project management.

scholarly journals Technology acceptance model for Augmented Reality and Building Information Modeling integration in the construction industry

2020 ◽  
Vol 25 ◽  
pp. 161-172 ◽  
Author(s):  
Abdalrahman Elshafey ◽  
Chai Chang Saar ◽  
Eeydzah Binti Aminudin ◽  
Masoud Gheisari ◽  
Abdulrahman Usmani
Keyword(s):  
Developing Countries ◽  
Augmented Reality ◽  
Technology Acceptance ◽  
Construction Industry ◽  
Technology Acceptance Model ◽  
Building Information Modeling ◽  
Information Modeling ◽  
External Control ◽  
Building Information ◽  
Acceptance Model

The digitalization of the construction industry has immense potential for dramatically improving the industry’s practices. Concerning current measures in construction project management, the industry is still dependent on traditional construction methods. However, the application of fully automated techniques within the construction industry has not yet been a widespread practice. Thus, this may explain why there is a slow adaption of digital growth within the construction industry and specifically in developing countries. This study is aiming to investigate the acceptance of Building Information Modeling (BIM) and Augmented Reality (AR) integration in the construction industry. To achieve this aim, Technology Acceptance Model 3 (TAM3) was utilized. The scope was narrowed down to four developing counties (Malaysia, Egypt, Saudi Arabia, and Turkey) and a questionnaire survey was developed and distributed between construction professionals in those countries for data collection purposes. Exploratory Factor Analysis (EFA) was used to develop the TAM, and a regression analysis is used to validate it. The developed TAM3 showed that users control over BIM-AR and perception of easiness of use has the highest influence on their perception of the system usefulness, which would positively affect their intention to use the system. Additionally, unlike the findings of the original TAM3, three variables of Image, Perception of External Control, and Voluntariness illustrate new relations which can be considered as a novel outcome. The outcomes of this study can be used to evaluate the acceptance of BIM-AR Integration in the construction industry context, and the developed TAM3 can be used for the development of new BIM-AR applications in developing countries as it can predict the BIM and AR users’ acceptance.

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