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Many studies have been conducted to define the critical success factors (CSFs) for off-site construction (OSC) activation, but there has been a lack of identification of the relationship with the identified CSFs. However, it is necessary to clearly identify the hierarchy and relationships with the success factors in order to develop specific strategies for OSC activation. This work presents a study that was conducted to identify the CSFs for OSCs and establish the relationships of the identified CSFs for OSC. First, 20 CSFs for OSCs were identified through prior study reviews related to CSFs for OSC. Next, the interpretive structural modeling (ISM), which has advantages in developing an understanding of complex relationships, was leveraged in order to analyze the relationships between 20 CSFs for OSC to derive a hierarchical model consisting of seven levels. The CSFs for OSC were classified into four groups using MICMAC analysis, which is useful for classifying factors by the strength of the relationship with factors based on driving power and dependence power. This proposed model can be used as a basis for developing management measures for OSC project success.
SeoYoung Jung; Seulki Lee; Jungho Yu. Identification and Prioritization of Critical Success Factors for Off-Site Construction Using ISM and MICMAC Analysis. Sustainability 2021, 13, 8911 .
AMA StyleSeoYoung Jung, Seulki Lee, Jungho Yu. Identification and Prioritization of Critical Success Factors for Off-Site Construction Using ISM and MICMAC Analysis. Sustainability. 2021; 13 (16):8911.
Chicago/Turabian StyleSeoYoung Jung; Seulki Lee; Jungho Yu. 2021. "Identification and Prioritization of Critical Success Factors for Off-Site Construction Using ISM and MICMAC Analysis." Sustainability 13, no. 16: 8911.
The cause of cracks in concrete is traditionally estimated by analyzing information such as patterns and locations of the cracks and whether other defects are present, followed by aggregating the findings to estimate the cause. This method is highly dependent on the expert’s knowledge and experience in the process of identifying the cause of the cracks by compiling information related to the occurrence of the cracks, and it is likely that each expert will make a different diagnosis or an expert with insufficient knowledge and experience will make an inaccurate diagnosis. Therefore, we propose automated technology using the ontology to improve the consistency and accuracy of crack diagnosis results in this research. The proposed approach uses information on the crack patterns, locations, and penetration status, as well as the occurrence of other defects, to automatically infer the causes of cracks. We developed ontology that can infer the cause of cracks using the information on their appearance and applied actual cases of cracks to verify the ontological operation. In addition, the consistency and accuracy of the ontology were validated using eight actual cases of crack. The approach of this study can support expert decision-making in the crack diagnosis process, thereby reducing the possibility of various errors caused by the intervention of inaccurate judgments in the crack diagnosis process and improving the efficiency of the crack diagnosis tasks.
SeoYoung Jung; Seulki Lee; Jungho Yu. Ontological Approach for Automatic Inference of Concrete Crack Cause. Applied Sciences 2020, 11, 252 .
AMA StyleSeoYoung Jung, Seulki Lee, Jungho Yu. Ontological Approach for Automatic Inference of Concrete Crack Cause. Applied Sciences. 2020; 11 (1):252.
Chicago/Turabian StyleSeoYoung Jung; Seulki Lee; Jungho Yu. 2020. "Ontological Approach for Automatic Inference of Concrete Crack Cause." Applied Sciences 11, no. 1: 252.
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 usersʹ 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.
Seulki Lee; Jungho Yu. Longitudinal Study on Construction Organization’s BIM Acceptance. Applied Sciences 2020, 10, 5358 .
AMA StyleSeulki Lee, Jungho Yu. Longitudinal Study on Construction Organization’s BIM Acceptance. Applied Sciences. 2020; 10 (15):5358.
Chicago/Turabian StyleSeulki Lee; Jungho Yu. 2020. "Longitudinal Study on Construction Organization’s BIM Acceptance." Applied Sciences 10, no. 15: 5358.
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.
Sim-Hee Hong; Seul-Ki Lee; In-Han Kim; Jung-Ho Yu; Hong; Lee; Kim; Yu. Acceptance Model for Mobile Building Information Modeling (BIM). Applied Sciences 2019, 9, 3668 .
AMA StyleSim-Hee Hong, Seul-Ki Lee, In-Han Kim, Jung-Ho Yu, Hong, Lee, Kim, Yu. Acceptance Model for Mobile Building Information Modeling (BIM). Applied Sciences. 2019; 9 (18):3668.
Chicago/Turabian StyleSim-Hee Hong; Seul-Ki Lee; In-Han Kim; Jung-Ho Yu; Hong; Lee; Kim; Yu. 2019. "Acceptance Model for Mobile Building Information Modeling (BIM)." Applied Sciences 9, no. 18: 3668.
Various green building certifications have been discussed as a part of efforts to realize sustainable development. In some countries, it is mandatory to acquire certifications for buildings above a certain scale. As a result, the demand for green building certifications has increased. Various studies have been conducted on the efficient performance of green building certification tasks. To improve the tasks for material information management, the following problems should be addressed: 1) Evaluation of material selection is difficult because of limitations on the amount and quality of the collected information; 2) Unnecessary duplication of work occurs because the important information created at each stage of a project is not delivered efficiently to the next step; 3) Information management for material information, which requires continuous updating, is not sufficient. Therefore, this study proposes an automated process of collecting and classifying Green Building Material Information (GBMI) using “web crawling” and “ontology” to improve the work efficiency of material information management. The proposed process is verified for interior finishing materials, which are a part of green building certification tasks. The proposed process can reduce the time required for the information management of building materials and eliminate human errors.
Sim-Hee Hong; Seul-Ki Lee; Jung-Ho Yu. Automated management of green building material information using web crawling and ontology. Automation in Construction 2019, 102, 230 -244.
AMA StyleSim-Hee Hong, Seul-Ki Lee, Jung-Ho Yu. Automated management of green building material information using web crawling and ontology. Automation in Construction. 2019; 102 ():230-244.
Chicago/Turabian StyleSim-Hee Hong; Seul-Ki Lee; Jung-Ho Yu. 2019. "Automated management of green building material information using web crawling and ontology." Automation in Construction 102, no. : 230-244.
In recent years, the awareness of the seriousness of the damage caused by fugitive dust and the need to manage it have increased. In particular, construction sites comprise 84% of business places that have reported fugitive dust generation, and they are required to have inspection and management to prevent the occurrence of fugitive dust at construction sites. However, the number of complaints in the construction industry due to fugitive dust has increased. The reason for this increase is the fact that existing control measures are defined based on emission processes rather than construction work types, which makes it difficult to apply fugitive dust control measures to construction sites. Therefore, this research evaluated the effectiveness of fugitive dust control measures for construction sites in Korea through a Delphi study. This Delphi study was conducted in two rounds with 12 experts in an on-site panel, and the factors that were determined to be effective control measures were convergence, the content validity ratio (CVR), and stability. This study’s results will be utilized to direct the establishment of future guidelines for fugitive dust control measures based on types of construction work.
Hyun-Jun Noh; Seul-Ki Lee; Jung-Ho Yu. Identifying Effective Fugitive Dust Control Measures for Construction Projects in Korea. Sustainability 2018, 10, 1206 .
AMA StyleHyun-Jun Noh, Seul-Ki Lee, Jung-Ho Yu. Identifying Effective Fugitive Dust Control Measures for Construction Projects in Korea. Sustainability. 2018; 10 (4):1206.
Chicago/Turabian StyleHyun-Jun Noh; Seul-Ki Lee; Jung-Ho Yu. 2018. "Identifying Effective Fugitive Dust Control Measures for Construction Projects in Korea." Sustainability 10, no. 4: 1206.
The management of information throughout a building's lifecycle is becoming increasingly important, and building information modeling (BIM) is often used to ensure the interoperability of data. However, BIM-based facility information from the construction phase is difficult to access and use during the operation and maintenance phase. This occurs because the BIM information is not utilized well in facility management (FM). In this research, we propose an approach to effectively manage BIM-based FM information by linking the BIM-based building elements and FM work information in an FM system database. We present a Semantic Web-based FM information system that semantically links BIM data to relevant historical work records. The proposed ontology was evaluated using a sample dataset of the architectural maintenance work records of an office building. Using the proposed approach, facility managers will be able to increase their efficiency in searching related work records that consider shared BIM objects by enhancing the interoperability and accessibility of FM data via the Semantic Web.
Karam Kim; Hyunjoo Kim; Wooyoung Kim; Changduk Kim; Jaeyo Kim; Jungho Yu. Integration of ifc objects and facility management work information using Semantic Web. Automation in Construction 2018, 87, 173 -187.
AMA StyleKaram Kim, Hyunjoo Kim, Wooyoung Kim, Changduk Kim, Jaeyo Kim, Jungho Yu. Integration of ifc objects and facility management work information using Semantic Web. Automation in Construction. 2018; 87 ():173-187.
Chicago/Turabian StyleKaram Kim; Hyunjoo Kim; Wooyoung Kim; Changduk Kim; Jaeyo Kim; Jungho Yu. 2018. "Integration of ifc objects and facility management work information using Semantic Web." Automation in Construction 87, no. : 173-187.
Ka-Ram Kim; Jung-Ho Yu. Automated Priority Management for BIM-based Maintenance Work using Semantic Web. Journal of the architectural institute of Korea planning & design 2017, 33, 53 -61.
AMA StyleKa-Ram Kim, Jung-Ho Yu. Automated Priority Management for BIM-based Maintenance Work using Semantic Web. Journal of the architectural institute of Korea planning & design. 2017; 33 (1):53-61.
Chicago/Turabian StyleKa-Ram Kim; Jung-Ho Yu. 2017. "Automated Priority Management for BIM-based Maintenance Work using Semantic Web." Journal of the architectural institute of Korea planning & design 33, no. 1: 53-61.
Building Information Modeling (BIM) is a general term for technology that links project information to 3D object-based models that manage, exchange, and share data between project participants throughout the life cycle of a project. In line with this, an emphasis on BIM in the international construction market is expected to become even greater, focusing on advanced countries in construction such as the United States and Europe. The Korean domestic market is also faced with the introduction of BIM due to an influx of investment and an increased interest in introducing BIM and mandatory application of BIM. In the Korean domestic market, the rate of BIM introduction is high, while BIM user proficiency is low. Further, the ratio of users who abandon BIM utilization is rather high. This is mainly due to the introduction of BIM in a situation wherein the organizations are not ready for the various elements required to utilize BIM. This pattern creates limitations in obtaining the expected effects of BIM and results in reduced continued use due a decrease in BIM credibility. Therefore, this research aims to develop a Discriminant Model of BIM Acceptance Readiness in a Construction Organization to evaluate readiness for elements required to utilize BIM. To empirically verify the proposed model, we retrieved 164 completed questionnaires by construction organizations (such as contractors, architects, construction managers and engineers). Using SPSS 17.0, we conducted discriminant analysis. The validated model will increase awareness on the need to evaluate BIM acceptance readiness and predict BIM acceptance readiness.
Seulki Lee; Jungho Yu. Discriminant model of BIM acceptance readiness in a construction organization. KSCE Journal of Civil Engineering 2016, 21, 555 -564.
AMA StyleSeulki Lee, Jungho Yu. Discriminant model of BIM acceptance readiness in a construction organization. KSCE Journal of Civil Engineering. 2016; 21 (3):555-564.
Chicago/Turabian StyleSeulki Lee; Jungho Yu. 2016. "Discriminant model of BIM acceptance readiness in a construction organization." KSCE Journal of Civil Engineering 21, no. 3: 555-564.
Taehoon Kim; Hyunsu Lim; Hyoun-Seung Jang; Jung-Ho Yu; Hunhee Cho; Kyung-In Kang. Establishment of Cooperation Evaluation System between Domestic Large Enterprises and Small/Medium-Sized Enterprises for Invigorating Joint Overseas Expansion. Journal of the Korea Institute of Building Construction 2016, 16, 257 -269.
AMA StyleTaehoon Kim, Hyunsu Lim, Hyoun-Seung Jang, Jung-Ho Yu, Hunhee Cho, Kyung-In Kang. Establishment of Cooperation Evaluation System between Domestic Large Enterprises and Small/Medium-Sized Enterprises for Invigorating Joint Overseas Expansion. Journal of the Korea Institute of Building Construction. 2016; 16 (3):257-269.
Chicago/Turabian StyleTaehoon Kim; Hyunsu Lim; Hyoun-Seung Jang; Jung-Ho Yu; Hunhee Cho; Kyung-In Kang. 2016. "Establishment of Cooperation Evaluation System between Domestic Large Enterprises and Small/Medium-Sized Enterprises for Invigorating Joint Overseas Expansion." Journal of the Korea Institute of Building Construction 16, no. 3: 257-269.
Seong-Hee Yun; Jung-Ho Yu; Hun-Hee Cho; Hyoun-Seung Jang. A Study on Strategies of Small and Midsize Construction Companies for Joint Overseas Expansion. Journal of the Architectural Institute of Korea Structure and Construction 2015, 31, 97 -104.
AMA StyleSeong-Hee Yun, Jung-Ho Yu, Hun-Hee Cho, Hyoun-Seung Jang. A Study on Strategies of Small and Midsize Construction Companies for Joint Overseas Expansion. Journal of the Architectural Institute of Korea Structure and Construction. 2015; 31 (5):97-104.
Chicago/Turabian StyleSeong-Hee Yun; Jung-Ho Yu; Hun-Hee Cho; Hyoun-Seung Jang. 2015. "A Study on Strategies of Small and Midsize Construction Companies for Joint Overseas Expansion." Journal of the Architectural Institute of Korea Structure and Construction 31, no. 5: 97-104.
Erratum." Journal of Civil Engineering and Management, 21(5), p. 677
Jung-Ho Yu; Me-Yeon Jeon; Kim Tae Wan; Tae Wan Kim. ERRATUM. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 2015, 21, 677 -677.
AMA StyleJung-Ho Yu, Me-Yeon Jeon, Kim Tae Wan, Tae Wan Kim. ERRATUM. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT. 2015; 21 (5):677-677.
Chicago/Turabian StyleJung-Ho Yu; Me-Yeon Jeon; Kim Tae Wan; Tae Wan Kim. 2015. "ERRATUM." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 21, no. 5: 677-677.
Substantial 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 interviews and pilot studies with professionals in the construction industry. Based on the components, a questionnaire was designed and sent out to workers in construction organizations (such as contractors, architects, construction managers, and engineers) in South Korea. A total of 114 completed questionnaires were retrieved. We used SEM for hypothesis testing. The validated BAM can serve as a foundation for positioning and comparing BIM acceptance research and provides users with a framework for evaluating BIM acceptance.
Seulki Lee; Jung-Ho Yu; David Jeong. BIM Acceptance Model in Construction Organizations. Journal of Management in Engineering 2015, 31, 04014048 .
AMA StyleSeulki Lee, Jung-Ho Yu, David Jeong. BIM Acceptance Model in Construction Organizations. Journal of Management in Engineering. 2015; 31 (3):04014048.
Chicago/Turabian StyleSeulki Lee; Jung-Ho Yu; David Jeong. 2015. "BIM Acceptance Model in Construction Organizations." Journal of Management in Engineering 31, no. 3: 04014048.
Jun-Ho Park; Seul-Ki Lee; Jung-Ho Yu. Analysis of Key Factors affecting BIM performance using fsQCA. Journal of the architectural institute of Korea planning & design 2015, 31, 29 -36.
AMA StyleJun-Ho Park, Seul-Ki Lee, Jung-Ho Yu. Analysis of Key Factors affecting BIM performance using fsQCA. Journal of the architectural institute of Korea planning & design. 2015; 31 (4):29-36.
Chicago/Turabian StyleJun-Ho Park; Seul-Ki Lee; Jung-Ho Yu. 2015. "Analysis of Key Factors affecting BIM performance using fsQCA." Journal of the architectural institute of Korea planning & design 31, no. 4: 29-36.
Construction 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 can contribute more accurate evaluation of overall project performance with higher degrees of performance discrimination.
Jung-Ho Yu; Me-Yeon Jeon; Tae Wan Kim. FUZZY-BASED COMPOSITE INDICATOR DEVELOPMENT METHODOLOGY FOR EVALUATING OVERALL PROJECT PERFORMANCE. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 2015, 21, 343 -355.
AMA StyleJung-Ho Yu, Me-Yeon Jeon, Tae Wan Kim. FUZZY-BASED COMPOSITE INDICATOR DEVELOPMENT METHODOLOGY FOR EVALUATING OVERALL PROJECT PERFORMANCE. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT. 2015; 21 (3):343-355.
Chicago/Turabian StyleJung-Ho Yu; Me-Yeon Jeon; Tae Wan Kim. 2015. "FUZZY-BASED COMPOSITE INDICATOR DEVELOPMENT METHODOLOGY FOR EVALUATING OVERALL PROJECT PERFORMANCE." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 21, no. 3: 343-355.
When engineers prepare a construction cost estimate for budgeting purposes, they use plans, specifications, and available cost data at the completion of the building design phase. They usually take off the quantities of material and related work items and assign appropriate unit costs. In this case, unit cost assignment is solely at the engineer’s professional discretion. Building Information Modeling (BIM) is widely adopted in the building construction industry. Tools can be used to automate material quantity, minimizing the time necessary for engineers to engage in the quantity measuring process. This function, however, does not provide any information on work items that are related to materials in the Bill of Quantity (BOQ). Thus, engineers still need to verify associated work items and assign unit costs. This research proposes an ontological inference of work item that enables an automated search of the most appropriate work items and their associated unit costs. This ontology contains semantic information for work items and work conditions, as well as a semantic reasoning rule that activates the ontology. A case study confirms that the proposed ontology and semantic reasoning rule can work in real-world situations. This paper contributes by eliminating subjective decision-making via search of appropriate work items for cost estimation and the use of BIM data extracted from IFCXML. The proposed ontological approach to building cost estimation will assist engineers in more readily using BIM data from IFCXML and will be helpful in automation of the whole estimation process.
Seulki Lee; Karam Kim; Jung-Ho Yu. Ontological inference of work item based on BIM data. KSCE Journal of Civil Engineering 2014, 19, 538 -549.
AMA StyleSeulki Lee, Karam Kim, Jung-Ho Yu. Ontological inference of work item based on BIM data. KSCE Journal of Civil Engineering. 2014; 19 (3):538-549.
Chicago/Turabian StyleSeulki Lee; Karam Kim; Jung-Ho Yu. 2014. "Ontological inference of work item based on BIM data." KSCE Journal of Civil Engineering 19, no. 3: 538-549.
Seul-Ki Lee; Ka-Ram Kim; Jung-Ho Yu. BIM and ontology-based approach for building cost estimation. Automation in Construction 2014, 41, 96 -105.
AMA StyleSeul-Ki Lee, Ka-Ram Kim, Jung-Ho Yu. BIM and ontology-based approach for building cost estimation. Automation in Construction. 2014; 41 ():96-105.
Chicago/Turabian StyleSeul-Ki Lee; Ka-Ram Kim; Jung-Ho Yu. 2014. "BIM and ontology-based approach for building cost estimation." Automation in Construction 41, no. : 96-105.
Seul-Ki Lee; Jung-Ho Yu. Moderating Effect of Organizational Culture on the Relationship between Influence Factors and BIM Acceptance. Journal of the architectural institute of Korea planning & design 2014, 30, 51 -59.
AMA StyleSeul-Ki Lee, Jung-Ho Yu. Moderating Effect of Organizational Culture on the Relationship between Influence Factors and BIM Acceptance. Journal of the architectural institute of Korea planning & design. 2014; 30 (2):51-59.
Chicago/Turabian StyleSeul-Ki Lee; Jung-Ho Yu. 2014. "Moderating Effect of Organizational Culture on the Relationship between Influence Factors and BIM Acceptance." Journal of the architectural institute of Korea planning & design 30, no. 2: 51-59.
Managing knowledge effectively is critical to the competitive power of a company. Knowledge is used as an important resource in many industrial areas, and so it follows that there is a growing interest in knowledge management within the construction industry. Yet because of the unique characteristics of construction knowledge created during projects, there are limitations to its capture and reuse. The knowledge produced during construction projects is project-oriented, experiential, and context specific; due to these characteristics, the reuse of knowledge is difficult. In this research, research team focus on capturing and identifying the characteristics of construction knowledge, then propose a method for applying these characteristics to the development of an ontology-based construction knowledge retrieval system. Moreover, research team developed a system prototype that applies ontology in suggesting related search words during the search process and validated the effectiveness of the prototype in terms of precision and recall rate. By applying the prototype, the precision and recall rate was improved by approximately 10∼30%.
Moonseo Park; Kyung-Won Lee; Hyun-Soo Lee; Pan Jiayi; Jungho Yu. Ontology-based construction knowledge retrieval system. KSCE Journal of Civil Engineering 2013, 17, 1654 -1663.
AMA StyleMoonseo Park, Kyung-Won Lee, Hyun-Soo Lee, Pan Jiayi, Jungho Yu. Ontology-based construction knowledge retrieval system. KSCE Journal of Civil Engineering. 2013; 17 (7):1654-1663.
Chicago/Turabian StyleMoonseo Park; Kyung-Won Lee; Hyun-Soo Lee; Pan Jiayi; Jungho Yu. 2013. "Ontology-based construction knowledge retrieval system." KSCE Journal of Civil Engineering 17, no. 7: 1654-1663.
To the construction industry that had recently suffered from a depressed domestic construction economy, the overseas construction market offers a foothold to overcome the limitations of the domestic market. In order to promote the continuous growth and development of overseas construction exports, Korean construction companies need to secure overseas market information, and to be strongly competitive. However the Korean construction industry has weaknesses in its ability to obtain information and experience, which are the most important factors in entering the overseas construction market. Therefore, this study aims to suggest business entry road maps by business types, in order to enter the Vietnamese construction market, which presents abundant development potential. To measure the Vietnamese construction market, a market entry evaluation model, which integrates the evaluation scores of marketability and competitiveness, was utilized to analyze the market entry potential by project types. According to the analysis results, general building projects and infrastructure projects in Vietnam in the long term are projected to expand from the currently dominant private investment projects, to a larger scope, along with the increase of public investments. In particular, as for public investments in the general building field, market entries will be smoother in the form of Public-Private Partnership.
Jung-Ho Yu; Hyoun-Seung Jang; Soon-Wook Kwon; Bo-Sik Son. Measures to expand market inroads into the Vietnamese construction market. KSCE Journal of Civil Engineering 2013, 17, 1568 -1577.
AMA StyleJung-Ho Yu, Hyoun-Seung Jang, Soon-Wook Kwon, Bo-Sik Son. Measures to expand market inroads into the Vietnamese construction market. KSCE Journal of Civil Engineering. 2013; 17 (7):1568-1577.
Chicago/Turabian StyleJung-Ho Yu; Hyoun-Seung Jang; Soon-Wook Kwon; Bo-Sik Son. 2013. "Measures to expand market inroads into the Vietnamese construction market." KSCE Journal of Civil Engineering 17, no. 7: 1568-1577.