• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.9
• /
• pp.680-687
• /
• 2016

Small and middle sized architectural design firms still have trouble using BIM (Building Information Modeling) for their tasks, which means that it is necessary to develop BIM Libraries and Technical contents. These BIM libraries should be based on common technical standards that reflect the technical contents to provide optimum BIM design support. This is essential to reduce the technological burden on the design office, because BIM does not just involve the 3D modeling of the design, but provides very important information for calculating the quantity of materials required for the construction and providing materials for the design work. Therefore, this research was aimed at improving the efficiency of the BIM design process by developing a system module based on the BIM technical contents data for the purpose of linking the BIM data and technical contents. The developed system module will be expanded to other uses of BIM in the long term.

• Journal of the Korea Convergence Society
• /
• v.10 no.10
• /
• pp.173-183
• /
• 2019

The purpose of research is to explore the direction of building a collaborative supply chain, which may enhance the competitiveness of firms and their project-based supply chain. Large-scale plants or large-scale buildings construction is referred to as a EPC project. To identify a collaboration mechanism in the project-based supply chain, the empirical research was conducted on the interrelationship between the absorption capacity of firms participating in the EPC project, the incentive norms, the goal congruence with supply chain, and the ability of respond to changes of the task of supply chain. PLS-SEM was used as an analysis method to verify the research model. It is expected that the results will help inform the need for SCM, the importance of the incentive norms and the goal congruence in the supply chain of EPC project.

• Korean Journal of Construction Engineering and Management
• /
• v.5 no.3 s.19
• /
• pp.88-96
• /
• 2004

Recently, client requirements concept is an important issue related to many effects of firms. Especially, if we think that apartment is given a great deal of national construction industry, it is requested that we should try to improve apartment quality with various methods of client requirements survey and reflecting those on apartment project. The technique searching and applying client requirements to apartment project is requested for that and ROQ(Return On Quality) process connected to QFD(Quality Function Deployment) is a technique which is used in manufacturing industry and help to make money by rising client satisfaction with searching clients requirements, and applying this to quality improvement program. In this study apartment quality management development is suggested through using ROQ process. For this customer interview research and FGI(Focus Group Interview) was carried out and clients requirement was analyzed with this. Then quality improvement program applicable to developing a new apartment product was established with specialist monitoring. A new apartment quality management development plan is prosed with this process.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.27 no.3
• /
• pp.331-345
• /
• 2009

This study aims to standardize the work classification system in spatial data. Up to now, a systematic standard for constructing process and quality management has not yet been established in Korea, thus, it is possible for the national budget to be wasted. The regulations related to constructing spatial data are also obscure, and absurd for feasible application to reality, which results in a lack of reliability of the quality of spatial data. This study was conducted by investigating and analyzing regulations related to spatial data quality and various literature, including studies on spatial data quality conducted by the NGII. And also, the study was conducted by investigating and analyzing the constructing processes and working methods of major firms that have experience in constructing a GIS for a local governing body. Based on the analyzed data, we standardized work classification and management methodology for control point surveying using GPS, leveling, aerial photographing, digital mapping, topographic mapping, digital elevation modeling, aerial photographic DB construction, digital orthophotomap.

• Korea Trade Review
• /
• v.45 no.2
• /
• pp.191-209
• /
• 2020

Project logistics is becoming increasingly important in overseas plant projects. Efficient logistics risk management is needed to reduce construction period and reduce costs. However, Korean construction firms bid unconditionally without sufficient experience and analysis on overseas plants contract, companies are gradually losing profitability on projects due to not considering profitability. Despite the significant effects on the profitability of Korean construction companies, and although these companies still continue to bid on overseas plant projects, policies to manage project logistics risks for safe transport and compliance with the contracted building schedule in the long term is still lacking. Hence, this study investigates the risk factors related to project logistics and to analyze the effect of project logistics risk on overseas plant business performance. We conducted a survey of project-related workers. The results of the analysis are as follows: First, among the logistics risk factors, overseas platform business people recognize operational risk and financial risk factors, which have a positive effect directly on overseas plant performance. Second, the ability to manage project logistics risks can have a significant impact on the success or failure of overseas plants. Finally, if logistics risk factors are managed on the basis of the research results confirmed through empirical analysis, it is possible to carry out more efficient and effective management of the project, which implies that this will have a positive effect on overseas plant business performance.

• Management & Information Systems Review
• /
• v.30 no.2
• /
• pp.161-184
• /
• 2011

It has been widely spread that the acquisition and retention of the core personnel is very important for improving firms' competitiveness. Many companies have made a lot of efforts to keep these core personnel, job embeddedness and work satisfaction are important factors which make effects on workers turnover. Prior research applying for many different industries do not show the consistent research results. There is no empirical research applying for construction IT industry which information technology has been playing more important role because of u-city etc. Therefore, in this research job embeddedness and work satisfaction are to be measured and the relationship with turnover intentions are to be investigated focusing on small and medium construction IT workers. The sub-constructs of job embeddedness are fit, links and sacrifice, and the sub-constructs of work satisfaction are career satisfaction and job satisfaction. It is empirically tested how these factors can have effects on the turnover intentions. Field surveys targeted to construction IT workers were done and finally 177 survey questionnaires were used to analyze. Research results show that if the sacrifice, career satisfaction and job satisfaction of small and medium construction IT workers are higher, turnover intentions will be lower. On the other hand, 2 hypotheses are rejected that if the fit and links of these workers are higher, turnover intentions will be lower. These research results clarified the factors affecting the turnover intentions of small and medium construction IT workers and can be utilized how turnover intentions can be decreased practically.

• Journal of Information Technology Applications and Management
• /
• v.15 no.4
• /
• pp.159-188
• /
• 2008

This study suggests strategies which can enable to creation of new opportunities of competitive advantages while operating a long lasting and consistent business with major trading partners, based on interorganizational information systems (IOISs) specially established and installed for interorganizational transactions. Nowadays, IOISs based mechanism having been widely expanded as a conventional business infrastructure for the interorganizational transactions and/or exchanges, it is customary difficult to obtain any strongly sound advantage over the competitors who have adopted even the simplest deployment of the IOIS mechanisms. In this connection, this study intends to investigate the interorganizational collaborative activities conducted by under the auspicious of IOISs, focused on the prospect of the exploitation of IOISs rather than the implementation of the IOISs. In this study, we, firstly, suggest the concept of Electronic Collaboration which can be defined by the collaborative activities conducted by IOISs, compared to the ones conducted on off-line. In addition, we suggest the Electronic Collaboration as a multi-dimensional concept, constituted by three sub-constructs, the Electronic Information Sharing (EIS), the Electronic Joint Activity (EJA), and the construction of the Electronic Relational Knowledge Store (ERKS). Secondly, we empirically verify the effects of relational and environmental determinants on the Electronic Collaboration. In this study, the relational determinants relate to the variables created in interorganizational relationship like Trust, Influence, Relational Specific Asset-asset invested for the transaction-, and Continuity of the relationship. On the other hand, the environmental determinants relate to the variables surrounding the relationship which are difficult to control. We consider Product Complexity, Technological Uncertainty, and Market Variability as the domain of the environmental determinants. To test our hypotheses, we conducted both paper-based survey and online-based survey. After refining the data with missing responses, a total of 150 data was used for analysis. The results were as follows : Firstly, it is statistically significant that the Electronic Collaboration is composed of EIS, EJA, and ERKS. In particular, the results imply that the firms are able to accumulate relational knowledge base as well as to exchange information or knowledge, and to conduct joint activities through effort to further expand the Electronic Collaboration. Secondly, we have verified the individual effects of the relational and the environmental determinants on the Electronic Collaboration. Product Complexity has been revealed as the most influential variable affecting the Electronic Collaboration. Next, Interorganizational Trust and Technological Uncertainty, in that order, have been seen to have significant effects on the Electronic Collaboration. In other words, when products or services seem to be difficult to standardize, and the core technologies seem to rapidly change, the need for the Electronic Collaboration increase. In addition, the observation dictates that the interorganizational trust turns out to be a critical variable in building a relationship and in seeking further collaboration. The results, further, illustrate that the environmental determinants are relatively more effective than the relational determinants, which is not consistent with a few prior researches relational determinants emphasized. It is because this study doesn't consider the size of the firm. A few researchers have given an emphasis on the relational determinants like trust and influence, especially from the perspective of small firms in interorganizational relationship. However, in our study, where all the sizes of the firms are contained, electronic collaboration is considerably affected by the environmental determinants.

• International Commerce and Information Review
• /
• v.16 no.5
• /
• pp.151-178
• /
• 2014

The objective of the present case study is to analysis how effectively Hilti, which is a former family firm owned and managed by a family in Liechtenstein as a tiny european country, a land sandwiched between Switzerland and Austria, has made a global market success. Liechtenstein has $160km^2$ land and about 36,000 residents. Despite its small size of country, however, Hilti Corporation doesn't view its location as a liability in its business strategy. Hilti is a global leading provider of professional power tools in building, mining, civil engineering etc. Also, Hilti is a firm with a clear vision to become the leading industry partner for construction professionals and building installations through customer focus, high quality equipment, and tools and systems specially designed for specific jobs. This study considered Hilti as a good case, which verifies that born-conditions, endogenous factors according to Michael Porters diamond model does not decisive role more for international competitiveness of firms. Lessons from Hilti are that in order to obtain and sustain the global competitiveness of small and medium-sized firms in Korean manufacturing sector under high production cost, they have to do actively innovative. Also they can give to customers newer and higher customer-values than competitors in abroad give. The case summarizes that the strategy of Hilti for the global market success is comprised of several factors: Technological and organizational innovation, and a clear customer-value oriented business strategy and its implementation. Innovation and its integration into marketing for the customers value creation is central to Hilti's Success. The present case study is expected to provide insights and implication for many firms in Korea that are seeking to secure global presence and market success.

• Journal of Intelligence and Information Systems
• /
• v.22 no.2
• /
• pp.33-56
• /
• 2016

Many researchers have focused on developing bankruptcy prediction models using modeling techniques, such as statistical methods including multiple discriminant analysis (MDA) and logit analysis or artificial intelligence techniques containing artificial neural networks (ANN), decision trees, and support vector machines (SVM), to secure enhanced performance. Most of the bankruptcy prediction models in academic studies have used financial ratios as main input variables. The bankruptcy of firms is associated with firm's financial states and the external economic situation. However, the inclusion of qualitative information, such as the economic atmosphere, has not been actively discussed despite the fact that exploiting only financial ratios has some drawbacks. Accounting information, such as financial ratios, is based on past data, and it is usually determined one year before bankruptcy. Thus, a time lag exists between the point of closing financial statements and the point of credit evaluation. In addition, financial ratios do not contain environmental factors, such as external economic situations. Therefore, using only financial ratios may be insufficient in constructing a bankruptcy prediction model, because they essentially reflect past corporate internal accounting information while neglecting recent information. Thus, qualitative information must be added to the conventional bankruptcy prediction model to supplement accounting information. Due to the lack of an analytic mechanism for obtaining and processing qualitative information from various information sources, previous studies have only used qualitative information. However, recently, big data analytics, such as text mining techniques, have been drawing much attention in academia and industry, with an increasing amount of unstructured text data available on the web. A few previous studies have sought to adopt big data analytics in business prediction modeling. Nevertheless, the use of qualitative information on the web for business prediction modeling is still deemed to be in the primary stage, restricted to limited applications, such as stock prediction and movie revenue prediction applications. Thus, it is necessary to apply big data analytics techniques, such as text mining, to various business prediction problems, including credit risk evaluation. Analytic methods are required for processing qualitative information represented in unstructured text form due to the complexity of managing and processing unstructured text data. This study proposes a bankruptcy prediction model for Korean small- and medium-sized construction firms using both quantitative information, such as financial ratios, and qualitative information acquired from economic news articles. The performance of the proposed method depends on how well information types are transformed from qualitative into quantitative information that is suitable for incorporating into the bankruptcy prediction model. We employ big data analytics techniques, especially text mining, as a mechanism for processing qualitative information. The sentiment index is provided at the industry level by extracting from a large amount of text data to quantify the external economic atmosphere represented in the media. The proposed method involves keyword-based sentiment analysis using a domain-specific sentiment lexicon to extract sentiment from economic news articles. The generated sentiment lexicon is designed to represent sentiment for the construction business by considering the relationship between the occurring term and the actual situation with respect to the economic condition of the industry rather than the inherent semantics of the term. The experimental results proved that incorporating qualitative information based on big data analytics into the traditional bankruptcy prediction model based on accounting information is effective for enhancing the predictive performance. The sentiment variable extracted from economic news articles had an impact on corporate bankruptcy. In particular, a negative sentiment variable improved the accuracy of corporate bankruptcy prediction because the corporate bankruptcy of construction firms is sensitive to poor economic conditions. The bankruptcy prediction model using qualitative information based on big data analytics contributes to the field, in that it reflects not only relatively recent information but also environmental factors, such as external economic conditions.

• Korean Journal of Construction Engineering and Management
• /
• v.18 no.4
• /
• pp.57-66
• /
• 2017

Using bidding data collected from the World Bank's open database, this research performed a series of competitive analyses of the major countries that have participated in the Bank's engineering consulting services contracts in Vietnam. The goal of the analysis was to evaluate the performance of Korean engineering firms to date, and provide strategic recommendations for future projects. Results showed that Korean firms had a high bid acceptance rate, comparable to major developed countries. The success was attributed to the high technical scores in the selection process. Comparatively, financial scores were not competitive and inferior to developing countries such as China and India. Results of a 'Skitmore' analysis revealed that Korea was competitive in medium size projects and were situated between developed and developing countries. Korea thus needs to increase participation in basic and detailed design services, 2) improve labor costs through 'localization' and latest technologies, and 3) and venture into larger sized projects.