Seul-Ki Lee

BIM Acceptance Model in Construction Organizations

AbstractSubstantial research has been performed on the data standards and exchanges in the Architectural, Engineering, Construction/Facility Management (AEC/FM) industry over the past several years. The growing popularity of building information modeling (BIM) technology is based heavily upon the perception that it can facilitate the sharing and reuse of information during a project life cycle. Although many researchers and practitioners are in agreement about the potential applicability and benefit of BIM in construction, it is still unclear why BIM is adopted, and what factors enhance implementation of BIM. Thus, BIM acceptance and use remains a central concern of BIM research and practice. Therefore, we propose an acceptance model for BIM in construction organizations using structural equation modeling (SEM). The key components, including the BIM acceptance model (BAM), are identified through a literature review about technology acceptance-behavior related theories, and was then consolidated by intervi...

An Extension of the Technology Acceptance Model for BIM-based FM

BIM in the FM industry has significant impact on the acceleration of design and construction phases of equal importance. However, most of the facility managers are still managing the maintenance and operations of facilities by using paper-based processes that include drawings and spreadsheets. Therefore, we propose the conceptual BIM acceptance model in FM for understanding why people accept or reject BIM. The objective is to understand the key factors affecting the acceptance of BIM by facility managers. The external and internal variables identified through a literature review with respect to understanding the acceptance of new information technologies, and then to select external variables to increase BIM acceptance in FM. And the interview refines the constructs of a conceptual BIM acceptance model in FM based on the knowledge of experts and their experience with the topic. The proposed model combines the TAM2 and the PBC. The model consists of thirteen factors that are hypothesized to have direct or indirect effects on BIM acceptance. The primary contribution of this paper is to propose the foundation of research on the BIM challenge for FM as a guide for future research.

Analysis of Modeling Errors for BIM-based Facility Management Systems

Facility Management is the longest in the building of life cycle. Because it occupies more than 80% of cost, the phase of Facility Management has to be managed and has to be perceived as important as design and construction phase. The method to manage building more efficiently is the introduction of Facility Management System used by CAD and database. But information Requirement is now input by hand in the most Facility Management System. This study aims to analyze the example of applying BIM in the Korea or abroad and the errors of this were deducted by many phase. Lastly, the possible solution is suggested in order to be used in the Facility Management System. This study`s benchmarking is COBIE which is developed by the COE(Corps of Engineers) and now popular in the world. The suggestion in this study is the method that I have already mentioned is helpful for a designer to do modeling when a designer uses BIM S/W(software). To be more specific, the method plays a side role in helping data input considering the phase of Facility Management.

Composite indicator development using utility function and fuzzy theory

Construction companies use composite indicators (CIs) to evaluate their overall project performance. However, the conventional methodology of CIs development causes indiscrimination, relative calibration, and redundancy. To address these problems, we propose a novel methodology that uses fuzzy theories. The proposed methodology includes a utility function for normalizing, a fuzzy measure for weighting, and a fuzzy integral for aggregating. We conducted a case study to assess the quality of the proposed methodology versus the alternative methodologies on 25 real projects of a construction company. The result showed that the measurement reliability of the proposed normalization method (1.96) is greater than that of the two different normalization methods (10.44 and 2.8, respectively). In addition, the measurement accuracy of the proposed aggregation method is greater than those of the four different aggregation methods. Therefore, our proposed methodology can more consistently and accurately help evaluate the overall project performance or success.

Effect of PMIS Quality on Intention to Use and User Satisfaction

Establishing a success model of a specific information system is critical to understanding the mechanism of IS success, the various dimensions of IS performance, and the factors and their causal relations in IS success. As one of the key IT applications, the project management information system (PMIS), particularly the web-based PMIS (Web-PMIS), has played a significant role in construction management processes in Korea. However, there have been few research attempts made to construct a Web-PMIS success model. This study primarily aims to propose a Web-PMIS success model based on DeLone and McLean`s IS success model, and to discuss whether or not the D&M IS success model can be applied to the construction Web-PMIS. A questionnaire was sent out to Web-PMIS users (construction managers and constructors), and 253 completed questionnaires were received. Through multi-regression analysis, it was confirmed that it is statistically acceptable to apply the D&M IS success model to the Web-PMIS. However, the explanatory power of the model is not sufficient, and some of the model factors are not statistically significant enough. Relying on the statistical analysis results, this study also discusses the development direction for the Web-PMIS success model.

Automatic Inference of Standard BOQ(Bill of Quantities) Items using BIM and Ontology

The rough design information is only available from BIM(Building Information Model) based schematic design. So, it is difficult to obtain sufficient information for generating BOQ. Like 2D design, there are some problems that the results are depend on what the choice of cost estimator. However, the most research of BIM based cost estimation are focus on quantity takeoff, the consideration of work item for generating BOQ is insufficient. Therefore, this paper present automatic inference process of work items in a BOQ using ontology. The proposed process and ontology is validated through applying tiling construction. If the proposed process is utilized, it is expected the basis of developing generation method for consistent BOQ by resolving intervention of cost estimator’ s arbitrary decision.