Jung-Ho Yu

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.

Critical Success Factors for Project Management Information System in Construction

With a focus on different aspects of PMIS in construction projects, various sets of critical success factors (CSFs) have been suggested in the literature such as IS Success Model by various researchers. It is crucial to explore the relative importance and groupings of these factors. This paper aims to identify CSFs associated with Project Management Information System (PMIS) in construction projects, and explore their ranking and underlying relationship. CSFs for PMIS identified through a literature review, and consolidated by interviews and pilot studies with professionals in construction industry. A questionnaire instrument was sent out to experienced users (Construction Manager and Constructor) in Korea, and 253 completed questionnaires were retrieved. To increase the generalizability of the results, the respondents were spread across construction site. Using factor analysis and considering the high importance of the factor, CSFs were grouped into three dimensions. All these three groupings and their relationship were included in a framework for successful PMIS in construction projects. These findings help to clarify what the high prioritized factors are, and could also be used as an assessment tool to evaluate the performance of PMIS and thus help to identify areas for improvement.

Comparative Study of BIM Acceptance between Korea and the United States

AbstractSubstantial research has been performed on data standards and exchanges in the AEC/FM (Architecture, Engineering, Construction and Facilities Management) industry over the past several years. The growing popularity of Building Information Modeling (BIM) technology is based heavily on the perception that it can facilitate the sharing and reuse of information during a project’s lifecycle. 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 the implementation of BIM. Thus, BIM acceptance and use remains a central concern of BIM research and practice. BIM was accepted in the United States earlier than in Korea, and BIM users are expected to have a higher maturity and positive perception about utilizing BIM depending on a lengthier utilization period. This means that the mechanism for achieving acceptance of BIM in Korea differs from the mechanism in the United...

The Effect of PMIS Quality on Project Management Success

As one of the key IT applications, the project management information system (PMIS) has played a significant role in construction management processes. This is because PMIS is an information system that gathers, integrates, and disseminates the output of project management processes among project participants, and is used to support all aspects of a project, from initiation through closing. This paper aims to identify the CSFs(Critical Success Factor) of Project Management and quality associated with Project Management Information System (PMIS) in construction projects, to analyze the Effect of PMIS quality on Project Management Success. The CSFs of Project Management and the quality components for PMIS are identified through a review of the literature, and consolidated through interviews with professionals in the construction industry. A questionnaire instrument was sent out to experienced users (Construction Manager and Constructor), and 253 completed questionnaires were retrieved. To increase the applicability of the results, the respondents consisted of workers spread across various parts of the construction site. Using SPSS 12.0, the data was used to analyze the relationship between PMIS Quality and Project Management Success through multiple regression analysis. These findings help to clarify what the highly prioritized factors are, and could also be used as an assessment tool to evaluate the performance of PMIS and thus help to identify areas for improvement.

A process to divide curved walls in IFC-BIM into segmented straight walls for building energy analysis

AbstractThe amount of energy that buildings consume is currently attracting significant interest throughout the world, and considerable attention is being devoted to the development of green buildings to reduce energy consumption; however, the current process being used to conduct building energy analysis has a significant shortcoming in that it cannot directly use building information modelling (BIM)-based representational data that includes a curved wall. Currently, the curved wall must be converted into segmented straight walls (SSWs) in the building model in order for the building energy analysis (BEA) program to be able to recognize and use the data. In this paper, we have proposed a segmentation process for curved walls in industry foundation classes (IFC)-based BIM for BEA. The proposed process consists of three sub-processes: 1) extracting data from the IFC model; 2) dividing the curved wall into several segmented straight walls; and 3) generating an INP file as a building description for DOE-2.2-...

Fuzzy-based composite indicator development methodology for evaluating overall project performance

AbstractConstruction companies develop and use composite indicators to evaluate their overall project performance. However, the conventional methodology of composite indicator development causes “the indiscrimination problem”, a low degree of performance discrimination due to low resolution of measurement, and “the redundancy problem”, an incorrect evaluation caused by interrelation among sub-indicators. To address these problems, we propose a novel methodology that uses fuzzy theories. The proposed methodology includes the utility function for normalizing, the fuzzy measure for weighting, and the fuzzy integral for aggregating. A retrospective case study on 52 real projects shows that our proposed methodology can help alleviate the indiscrimination and redundancy problems: the proposed methodology significantly improved the degree of performance discrimination (0.29 to 0.92) and changed ranks of under- or overestimated projects by taking the interactions of sub-indicators into account. Our methodology ca...

Development of Construction Material Naming Ontology for Automated Building Energy Analysis

BIM Data exchange using standard format can provide a user friendly and practical way of integrating the BIM tools in the life cycle of a building on the currently construction industry which is participated various stakeholder. It used IFC format to exchange the BIM data from Design software to energy analysis software. However, since we can not use the material name data in the library of an energy analysis directly, it is necessary to input the material property data for building energy analysis. In this paper, to matching the material named of name of DOE-2 default library, rhe extracted material names from BIM file are inferred by the ontology With this we can make the reliable input data of the engine by development a standard data and also increase the efficient of building energy analysis process. The methodology can enable to provide a direction of BIM-based information management system as a conceptual study of using ontology in the construction industry.

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.

IFCXML Based Automatic Data Input Approach for Building Energy Performance Analysis

To analyze building energy consumption, the building description for building energy performance analysis (BEPA) is required. The required data input for subject building is a basic step in the BEPA process. Since building information modeling (BIM) is applied in the construction industry, the required data for BEPA can be gathered from a single international standard file format like IFCXML. However, in most BEPA processes, since the required data cannot be fully used from the IFCXML file, a building description for BEPA must be created again. This paper proposes IFCXML-based automatic data input approach for BEA. After the required data for BEPA has been defined, automatic data input for BEPA is developed by a prototype system. To evaluate the proposed system, a common BIM file from the BuildingSMART website is applied as a sample model. This system can increase the efficiency and reliability of the BEPA process, since the data input is automatically and efficiently improved by directly using the IFCXML file..