• Journal of Gifted/Talented Education
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• v.24 no.2
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• pp.217-241
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• 2014

This study aimed to explore the direction and possibility of development of the integrated curriculum for the Gifted students in the discipline-centered curriculum perspective. To this end, the study analysed the Ontario interdisciplinary curriculum based on a Drake's Integration Model which is typical model of the discipline-centered curriculum and explored the applicability to Science Gifted Academy in Korea. Through showing the possibility of enrichment on the selected majors, integration with other disciplines and solving the future problems by the integrated curriculum centered on 'Big Idea', the Ontario interdisciplinary curriculum gave suggestions of curriculum integration within or through individual research and integrated curriculum for the Gifted. The application of the Ontario's "Introduction to Information studies" to "Information Science" in Science Gifted Academy in Korea could be obtained the conclusion that the Drake's Integration model is applied to the Gifted by the individualization of the navigation network, KDB(Knowledge-Do-Be) umbrella, and the final interdisciplinary task. From this result, we could suggest that the development of integrated curriculum for the Gifted should be considered the clarity of learning objectives for the Gifted, the plan of evaluation to demonstrate big understanding and big idea, the integration with other disciplines or real-world problem, as well as the need of teachers council for the integrated curriculum. This study is expected to be contribute to development of the integrated curriculum model for the gifted based on the their characteristics and to be utilized in Science Gifted Academy.

• The Korean Journal of Applied Statistics
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• v.22 no.2
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• pp.271-280
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• 2009

For bivariate binomial data with both intra and inter-class correlation, Danaher and Hardie (2005) proposed a bivariate beta-binomial model. However, the model is limited to the situation where the intra-class correlation is strictly positive. Thus it might be seriously inadequate for data with a negative intra-class correlation. Several authors have considered generalized binomial distributions covering a wider range of intra-class correlation which could relax the possible model restrictions imposed. Among others there are the additive/multiplicative and the beta/extended beta binomial model. In this study, bivariate models of the Sarmanov (1966) type are formed by combining each of those univariate models to take care of the inter-class correlation, and are evaluated in terms of the goodness-of-fit. As a result, B-mB and B-ebB are fitted, successfully, to real data and that B-mB, which has a wider permissible range than B-ebB for the intra-class correlation is relatively preferred.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.57
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• pp.199-219
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• 2013

The objective of this study is to find out whether Korean main banks may have efficiency against Indian major banks. For this purpose, DEA analysis is used for checking relative efficiency levels. The study proposes, as a result, Shinhan bank, Woori bank and Kookmin bank in Korea may consider entering into Indian banking industry because these three banks have relative efficiency against main Indian banks like Yes bank, ICICI bank. The results of the study comply with actual facts since Shinhan bank already came to Indian banking market at first. Shinhan bank have three branches like Mumbai, NewDelhi etc. Wooribank also entered into India in 2012 as second case among Korean banks. But Kookmin bank did not come to India yet so they should consider coming to India. As a preliminary measures, they can send one person as a expatriate to survey the Indian banking industry like KDB in Korea. If they can utilize their core competence in real estate field at India, they may positively think about entering into India as quickly as possible. Although many Korean firms have penetrated into Indian market recently, they almost belong to manufacturing sectors so Korean service firms like banks should consider more coming to India because the most hot sector for FDI in India remain service sector and many foreign service firms already rush to Indian market. If Korean service firms like banks delay FDI further, good market opportunities would not be there any more. DEA analysis can be one of tools to check investment feasibilities. Since India becomes a compulsory subject for most of Korean firms, to increase possibilities of success in India, such Korean banks may consider applying fast-mover investment strategies to the Indian business fields.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.568-573
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• 2009

Marine accidents have always caused huge economic losses, as well as environmental pollution. Prevention of marine accidents has become a focus of argumentation. The analysis of past accident cases, reviewing the experience and lessons, is important and necessary for preventing marine accidents. With the same subject above, the Korean Maritime Safety Tribunal provides for past marine accidents' written judgments and analysis of judgment and associated retrieval system on its homepage. In these systems, the name of the ship, accident occurrence time, accident pattern or related keywords are used as search conditions. However, most of the marine events' happening were not due to a single reason, but multiple ones. In addition, one marine event could often come under several categories. In this case, now the retrieval systems' DB is used on the Korean Maritime Safety Tribunal homepage was built based on single category and failed to be able to retrieve according to multiple reasons or multiple categories. In order to solve this problem, a more practical retrieval approach might be needed. Therefore, in this paper, a new retrieval system will be proposed, which using the linguistic label to describe the cluster after analyzing the relational properties between marine accidents and clustering by FCM algorithm, and then adding an interface to allow users to get the results they want through choosing multiple reasons or multiple categories.

• Journal of Korea Trade
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• v.26 no.7
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• pp.127-144
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• 2022

Purpose - This study aimed to analyze the dynamic effects of progress in globalization on firm performance by employing individual companies' financial statement datasets. Design/methodology - The analysis leveraged the variables of operating revenue (OPRE) and pre-tax profit and loss (PLBT) as measurement variables for firm performance over 2011-2019. As a proxy variable for globalization, the trade index, a subordinate indicator of the KOF Globalization Index, was used. Through panel regression analysis, the relationship among those variables was ascertained, and the local projection (LP) method was subsequently utilized to identify dynamic effects. A subsample analysis was further performed by classifying companies based on their sizes and industries to determine the differential effects of globalization on each group. Findings - The panel regression analysis derived positive effects of an increasing degree of globalization on OPRE of Korea maritime and fishery firms. However, the impulse response functions, obtained from the LP, showed that in the short run, globalization affects PLBT negatively but in the long run, it gradually converted into a positive effect. In addition, according to the subsample analysis based on company size, the effects of globalization on OPRE became greater as each company became larger. Moreover, the industry-based analysis showed heterogeneous effects, depending on the industries in which the maritime and fishery companies operated. Originality/value - The analysis of the dynamic effects of globalization on firm performance, which revealed that the effects vary depending on the time points, is the important contribution of this study. The results also suggest that the effects of globalization vary depending on the company size and industry.