scholarly journals Interpretive Structural Model Based Factor Analysis of BIM Adoption in Chinese Construction Organizations

2019 ◽  
Vol 11 (7) ◽  
pp. 1982 ◽  
Author(s):  
Guofeng Ma ◽  
Jianyao Jia ◽  
Jiyong Ding ◽  
Shanshan Shang ◽  
Shan Jiang
Keyword(s):  
Structural Model ◽  
Information Modeling ◽  
Top Down ◽  
Project Leadership ◽  
Factors Affecting ◽  
Construction Organizations ◽  
Building Information ◽  
Interpretive Structural Model ◽  
Cross Reference

The adoption of Building Information Modeling (BIM) will definitely improve the efficiency and quality of the AEC (architecture, engineering and construction) industry. However, many factors need to be improved before BIM adoption. Based on the interaction between institutions and technology, factors affecting BIM adoption in AEC organizations, within the context of China, are identified and analyzed. Firstly, 21 factors are identified by literature research. Then, an interpretive structural model (ISM) technique is used to establish a hierarchical structure, and matrix impacts cross-reference multiplication applied to a classification (MICMAC) is used for factor classification. The results indicate that corporate/project leadership and software functionality are the two fundamental factors. What’s more, the dynamic mechanism has gradually changed from top-down to a combination of top-down and bottom-up.

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.

scholarly journals Factors affecting the strategic planning in local organizations for designing a structural model

Ciencia Unemi ◽  
2020 ◽  
Vol 13 (34) ◽  
pp. 1-15
Author(s):  
Behzad Souki ◽  
Reza Najaf Beigi ◽  
Karamullah Daneshfard
Keyword(s):  
Strategic Planning ◽  
Structural Equation ◽  
Structural Model ◽  
Communication Technologies ◽  
Factors Affecting ◽  
Local Organizations ◽  
Acceptable Quality ◽  
Validity Indices ◽  
Interpretive Structural Model

This study aims to identify the problems affecting strategic planning in local organizations which can help the development of the society. By conducting interviews and studying the available sources, 33 factors were identified and presented, and they were subdivided into four major groups of behavior, communication, knowledge and institutions. The classification was designed on the basis on the application of Interpretive Structural Model (ISM) and a qualitative-quantitative method. The Smart PLS software was used as the best structural equation modelling tool to design the study model. The final model was also tested using the technique of the least partial squares. The six factors of political behavior, negotiation experience, communication technologies, relations with extra-organizational agents, regulatory effectiveness and organization were found to be fundamental. The validity of the model included community validity indices and augmentation validity. The model's adequacy indices were also positive and greater than zero, indicating that the model devised has acceptable quality and validity. In addition, the GOF index obtained from the calculations was found to be 0.611, which shows the high quality of the model. The study's assumptions about the effects of the four groups of factors on strategic planning were also attested to with 0.95 possibilities. Finally, based on results gained out of the study, certain strategies were suggested for the local organizations.

BIM-Based Quality Control for Safety Issues in the Design and Construction Phases

2015 ◽  
Vol 9 (3) ◽  
pp. 111 ◽  
Author(s):  
Seunghwa Park ◽  
Inhan Kim
Keyword(s):  
Decision Making ◽  
Traditional Method ◽  
Building Information Modeling ◽  
Safety Management ◽  
Information Modeling ◽  
Use Case ◽  
Safety Issues ◽  
Building Information ◽  
Building Safety

Today’s buildings are getting larger and more complex. As a result, the traditional method of manually checking the design of a building is no longer efficient since such a process is time-consuming and laborious. It is becoming increasingly important to establish and automate processes for checking the quality of buildings. By automatically checking whether buildings satisfy requirements, Building Information Modeling (BIM) allows for rapid decision-making and evaluation. In this context, the work presented here focuses on resolving building safety issues via a proposed BIM-based quality checking process. Through the use case studies, the efficiency and usability of the devised strategy is evaluated. This research can be beneficial in promoting the efficient use of BIM-based communication and collaboration among the project party concerned for improving safety management. In addition, the work presented here has the potential to expand research efforts in BIM-based quality checking processes.

scholarly journals Factors affecting adoption of building information modeling in construction projects: A case of Vietnam

2021 ◽  
Vol 8 (1) ◽  
pp. 1918848
Author(s):  
Nguyen Van Tam ◽  
Tran Ngoc Diep ◽  
Nguyen Quoc Toan ◽  
Nguyen Le Dinh Quy
Keyword(s):  
Construction Projects ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Factors Affecting ◽  
Building Information

scholarly journals Factors Affecting the Lut Desert Tourism in Iran: Developing an Interpretive-Structural Model

2021 ◽  
Vol 13 (13) ◽  
pp. 7245
Author(s):  
Beniamino Murgante ◽  
Mohammad Eskandari Sani ◽  
Sara Pishgahi ◽  
Moslem Zarghamfard ◽  
Fatemeh Kahaki
Keyword(s):  
Sampling Method ◽  
Structural Model ◽  
Tourism Development ◽  
Cost Effective ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Factors Affecting ◽  
Purposive Sampling ◽  
Interpretive Structural Model ◽  
Lut Desert

The Lut desert is one of the largest and most attractive deserts in Iran. The value of desert tourism remains unclear for Iran’s economy and has only recently been taken into consideration by the authorities, although its true national and international value remains unclear. This study was aimed at investigating the factors that influence tourism development in the Lut desert. Data collected through the purposive sampling method was analyzed using Interpretive Structural Modeling and the MICMAC Analysis. According to the results, cost-effective travel expenses, security, and safety provided in the desert, together with appropriate media advertising and illustration of the Lut desert (branding) are the leading factors that influence tourism in the Lut desert in Iran. This paper highlighted the importance of desert tourism, especially in this region.

Factors affecting BIM application in China: a social network model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shuangliang Tai ◽  
Yao Zhang ◽  
Ting Li
Keyword(s):  
Social Network ◽  
Network Model ◽  
Information Modeling ◽  
Information Communication ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Building Information ◽  
Management Modes ◽  
Definition Of

Purpose The purpose of this paper is to promote the application of building information modeling (BIM) in China’s construction industry, key factors and their relationships are explored. Design/methodology/approach Based on a literature review, 28 factors were extracted and their relationships (239 in total) obtained using the Delphi method. A social network model of the factors was constructed and factors were analyzed using social network analysis (SNA). Findings The top 10 key factors and their relationships were obtained using SNA. Among the top 10 critical factors, six were source factors. They were: training for the application of BIM, guidance from experts, proper management modes, efficient BIM teams, specifications and demonstrations and standards for building information communication. The other four factors included as follows: a willingness to accept BIM, knowledge of its value and benefits, the definition of its benefits and the availability of IT software and hardware. These were mediating factors that could further the influence of the source factors. Originality/value The results provide useful information for public agencies and professionals to understand the immediate and mediating influences of the factors on the application of BIM. Solutions and future efforts for different participants are presented to promote the application of BIM-based on the key factors and their relationships.

scholarly journals Automated Geometric Quality Inspection of Prefabricated Housing Units Using BIM and LiDAR

2020 ◽  
Vol 12 (15) ◽  
pp. 2492
Author(s):  
Yi Tan ◽  
Silin Li ◽  
Qian Wang
Keyword(s):  
Building Information Modeling ◽  
Information Modeling ◽  
The Other ◽  
Light Detection And Ranging ◽  
Quality Inspection ◽  
Building Information ◽  
Geometric Quality ◽  
Mechanical Elements ◽  
Housing Units

Traditional quality inspection of prefabricated components is labor intensive, time-consuming, and error prone. This study developed an automated geometric quality inspection technique for prefabricated housing units using building information modeling (BIM) and light detection and ranging (LiDAR). The proposed technique collects the 3D laser scanned data of the prefabricated unit using a LiDAR which contains accurate as-built surface geometries of the prefabricated unit. On the other hand, the BIM model of the prefabricated unit contains the as-designed geometries of the unit. The scanned data and BIM model are then automatically processed to inspect the geometric quality of individual elements of the prefabricated units including both structural and mechanical elements, as well as electrical and plumbing (MEP) elements. To validate the proposed technique, experiments were conducted on two prefabricated bathroom units (PBUs). The inspection results showed that the proposed technique can provide accurate quality inspection results with 0.7 mm and 0.9 mm accuracy for structural and MEP elements, respectively. In addition, the experiments also showed that the proposed technique greatly improves the inspection efficiency regarding time and labor.

scholarly journals Diffusion of Building Information Modeling in Building Projects and Firms in Singapore

2020 ◽  
Vol 12 (18) ◽  
pp. 7762
Author(s):  
Longhui Liao ◽  
Evelyn Ai Lin Teo ◽  
Ruidong Chang ◽  
Xianbo Zhao
Keyword(s):  
Building Information Modeling ◽  
Practical Experience ◽  
Information Modeling ◽  
Project Leadership ◽  
Building Projects ◽  
Construction Firms ◽  
Design Coordination ◽  
Building Information ◽  
Coordination Training ◽  
Survey Interviews

Building information modeling (BIM) implementation has been mandated in building projects in Singapore, but a wider adoption is still desired. This study aims to investigate the factors influencing BIM diffusion and examine how the factors influence firms with different project roles, firm sizes, and BIM implementation experience. The results of a pilot study, a questionnaire survey with 89 professionals, and five post-survey interviews showed that hindrances related to inadequate multi-party collaboration (whether formal or informal), conservative mindset, limited skills, costly infrastructure and training, and multi-discipline model integration were the most influential, whereas drivers associated with project leadership team’s strategic consensus, multi-disciplinary design coordination, training, and government regulations were top-ranked. Subgroup analyses between pairs of firms with different characteristics revealed that while construction firms and less experienced stakeholders tended to underestimate BIM implementation difficulties, small-medium contractors might underestimate relevant benefits. The findings and managerial recommendations help different types of firms prioritize resources to overcome hindrances, seize opportunities (such as gaining a competitive edge from BIM practical experience), and obtain support from workers executing BIM daily. With major stakeholders’ recognition and implementation, BIM can be successfully diffused in building projects and firms. The Singapore government and other countries can refer to this study when further issuing BIM diffusion policies.

KEY KNOWLEDGE ENABLER FACTORS FOR EFFECTIVE BIM IMPLEMENTATION IN CONSTRUCTION ORGANIZATIONS

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Veerasak Likhitruangsilp ◽  
Tran Tuan Kiet
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Experiential Knowledge ◽  
Information Modeling ◽  
Survey Questionnaire ◽  
Construction Organizations ◽  
Building Information ◽  
Fuzzy Micmac

Building information modeling (BIM) is an innovative approach that is widely used to overcome various challenges in the construction industry. Current BIM implementation mainly focuses on information management, but puts very limited effort on knowledge. That is, the current BIM practice is information-centered, but it is not mature enough to generate and capture experiential knowledge. In addition, knowledge management (KM) is limitedly adopted for BIM implementation. Based on this paper's rigorous literature review as well as a survey questionnaire, nine knowledge enablers and 52 knowledge enabler factors for BIM implementation (KEFBIs) are identified. In this paper, we deploy ISM fuzzy MICMAC to identify and classify the key KEFBIs that influence BIM implementation by contractors. The results can guide contractors to avoid difficulties while adopting BIM so that they can plan and allocate their resources optimally.

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