• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4354-4358
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• 2011

Many Korean construction companies have fallen on hard times because the construction business continues to stagnate. Therefore it is necessary to measure the management efficiency for efficient operation and strengthening competitiveness of them in order to survive a difficult situation. This paper proposes a combined ANP and DEA model to analyze the efficiency of the listed construction firms. In order to determine the input and output variables of DEA, the ANP model is applied to evaluate the importance of input and output variables. The benchmarking companies and efficiency value for the construction firms with inefficiency are also provided to improve the their efficiency. The 57 listed construction companies consisted of 36 listed on KOSPI and 21 listed on KOSDAQ are analyzed in this study. The analysis results show that 11 companies whose values of CCR are 1, and 14 firms whose values of BCC efficiency are 1. In additions, the 19 firms have the scalability efficiency. Finally, we test the correlation between efficiency and the stock price.

• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.461-469
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• 2013

This research aimed to design and develop a mobile-website mixed business model and smartphone based mobile application for the purpose of mobile fashion content distribution. We have implemented a mobile interface and trading system supporting self production of content, use, share, and user's self-up. And we proposed its market access strategy for the expansion of fashion contents transactions. To do this, the existing status of research and benchmarking for mobile app of fashion contents related were studied. As a result of the study, Android, iOS-based mobile applications were developed, but there are some business problems such as low awareness, low entry barriers, and the poor fashion content compared to the size of industry. Because this system provide the fashion contents of affiliated companies to users, it needs to expand cooperation and to promote the partnership with fashion blog, cafes, and fashion magazines.

• Nuclear Engineering and Technology
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• v.54 no.6
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• pp.2067-2076
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• 2022

The importance of safety culture has been emphasized to achieve a high level of safety. In this light, a systematic method to more properly deal with safety culture is necessary. Here, a decision-making tool that can apply a graded approach to the analysis of safety culture is proposed, called the F-D matrix, which determines the frequency and the difficulty of safety culture attributes recently defined by the IAEA. A hierarchical model of difficulty contributors was developed as a scoring standard, and its elements were weighted via expert evaluation using the analytic hierarchy process. The frequency of the attributes was derived by analyzing reported events from nuclear power plants in the Republic of Korea. Period-by-period comparisons with the F-D matrix can show trends in the change of the maturity level of an organization's safety culture and help to evaluate the effectiveness of previously implemented measures. In the evaluating the difficulty of the attributes in the recently developed harmonized safety culture model, the difficulties of Trending, Benchmarking, Resilience, and Documentation and Procedures were found to be relatively high, while the difficulties of Conflicts are Resolved, Ownership, Collaboration, and Respect is Evident were found to be relatively low. A case study was conducted with an analysis period of 10 years to attempt to reflect the many changes in safety culture that have been made following the Fukushima accident in March 2011. As a result of comparing two periods following the Fukushima accident, the overall frequency decreased by about 40%, providing evidence for the effects of the various improvements and measures taken following the increased emphasis on safety culture. The proposed F-D matrix provides a new analytical perspective and enables an in-depth analysis of safety culture.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.10
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• pp.437-446
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• 2022

Text classification task from Natural Language Processing (NLP) combined with state-of-the-art (SOTA) Machine Learning (ML) and Deep Learning (DL) algorithms as the core engine is widely used to detect and classify voice phishing call transcripts. While numerous studies on the classification of voice phishing call transcripts are being conducted and demonstrated good performances, with the increase of non-face-to-face financial transactions, there is still the need for improvement using the latest NLP technologies. This paper conducts a benchmarking of Korean voice phishing detection performances of the pre-trained Korean language model KoBERT, against multiple other SOTA algorithms based on the classification of related transcripts from the labeled Korean voice phishing dataset called KorCCVi. The results of the experiments reveal that the classification accuracy on a test set of the KoBERT model outperforms the performances of all other models with an accuracy score of 99.60%.

• Journal of Korean Society of Transportation
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• v.23 no.8 s.86
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• pp.89-98
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• 2005

The privatization and commercialization of airports has moved forward at the globa1 level. individual countries have begun to focus less on the public welfare aspect of airports, and to emphasize the need to uncover means of increasing their respective airports economic performance and profitability. Although there is a need for Korean airports to be managed in accordance with this global trend. In order to conduct an accurate comparison and analysis of the managerial performances of the fourteen airports, the WLU(Work Load Unit) a concept which integrates the two outputs of airports, namely, passengers and freight, was employed in this study. Furthermore, in order to overcome the limitations of conducting a financial comparison based solely on WLU, the DEA model was also employed to evaluate airport efficiency: moreover, the benchmarking method was used to establish the input-output goals.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.8
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• pp.1802-1809
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• 2004

This paper discusses cost allocation model of common facilities in voice and data traffic of mobile telephone network. There are several methods to be considered including traffic, facility, revenue, Ramsey, and benchmarking in local loop unbundling for High Speed Internet. It is important to investigate the strength and weakness of each method. This paper reviews the theoretical literatures and compares the characteristics of each methodology. Also, case studies are employed to get the implications concerned. As a result, in the beginning, it is desirable to introduce 50:50 allocation method used in local loop unbundling in UK. Then, it is recommendable to apply the ratio allocation method as the quantities of voice and data traffic become equal.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.36 no.2
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• pp.146-155
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• 2008

To improve the performance of tiled display system, two parallel tiled display algorithms are proposed by combining the sort-first and the sort-last sorting methods. In the proposed algorithms, the view frustum culling is employed along with the OpenGL display list for the sort-first sorting, and the pre-detection sort-last sparse sorting method is used for sort-last sorting. Through the benchmarking tests, the performances of two proposed algorithms are investigated. Based on the observations, it is suggested how to select an optimal algorithm among the two proposed parallel tiled display algorithms for the given visualization model.

• IE interfaces
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• v.16 no.2
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• pp.125-139
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• 2003

This paper reports an empirical study on assessment of R&D best practices. The principles of quality management and their tools such as best practices or benchmarking have been so prevailing in the operational process that the R&D management recently consider extensive use of them for their innovation process. However, characteristics of the two processes may be different each other. Are the principles or the tools that were effective in the operational field still going to be effective in the innovative field? In order to answer the question, we statistically examine how R&D best practices contribute to the innovative performance. Upon literature review on technological innovation, we present a R&D process model whereby we set forth research hypotheses. Using data from 66 successful R&D efforts carried out among Korean firms mostly between 1999-2001, regression analyses reveal that best practices used in most stages throughout the R&D process are found not to significantly contribute to the innovative performance. Only those in technology strategy and prototyping stages are proven effective for technical and commercial performance respectively. Interestingly, efforts in a problem solving and improvement stage are counterproductive in the case of the innovation process. Discussions on our empirical observations are presented followed by some managerial implications.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.111-121
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• 2020

The study measures the resource use efficiency of diesel based power generation in the Maldives and analyses factors which influence efficiency levels. Stochastic frontier analysis (SFA) technique is applied to data on 30 plants over two year period from 2016 to 2017. The study finds that technical efficiency scores varies from 0.44 to 0.98 across power plants. About 33 percent of the plants have scores below the mean technical efficiency score of 0.87. Empirical results indicate ownership and use of solar photovoltaic (PV) have an influence on improving efficiency levels. Privately owned power plants in resort islands obtained higher technical efficiency scores compared to public and community owned power plants. This is a significant finding as the first study that used power plants in tourist sector in a comparative study. Size of the power plants was not found significant, but relatively small installed capacities can also be efficient. This finding is important because in many inhabited islands installed capacities remain oversized compared to the load. The benchmarking exercise offers model power plants that are relatively efficient, for other power plants and policy makers in small islands to learn from.

• The Journal of Information Technology
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• v.6 no.4
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• pp.135-146
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• 2003

In the era of so-called knowledge-based economy, the creation and utilization of IT and new knowledge are recognized as core factors to enforce IT industry and to increase national competitiveness. Advanced countries, therefore, have heavily invested their resources on IT sector and introduced competition into the telecommunication market. ASEAN countries are trying to make themselves informationized society through IT market liberalization and industry development. They are investing lots of resources to construct IT infrastructure such as wired and wireless network and consider informationized society promotion as top national agenda. In this effort, Korea is a benchmarking model for them. Successful entering into ASEAN market requires close analysis and correct understanding of its IT policy and infrastructure. In this paper, therefore, tried to analyse IT policy and infrastructure of three ASEAN countries, which have high potential of economic cooperation in IT with Korea. And based on the analysis, tried to find out ways to enter into ASEAN.