• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.2876-2881
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• 2010

This paper attempts to find out implications based on the comparative analysis of overseas expansion model between the Korean insurance companies and the German one. There are three types of the strategies of the overseas-expansion-model of insurer, i.e. customer-oriented localized strategy, niche market-oriented strategy, and growing market-oriented strategy. From the review of related literatures and through an interview conducted by the insurance specialist, the findings are some differences between Korean and German insurance companies, when they go into foreign insurance markets. Th significant differences between Korean and German insurers are a customer oriented localized strategy and niche market oriented strategy. The Korean insurer shows a strength on the overseas-expansion-strategy, but the most clients of the Korean insurer on overseas markets are also Korean companies and Korean immigrants. The Korean legal expenses insurance market is yet in its embryonic stage, while the German legal expenses insurance company is pushing ahead with a strategy focused on localization and niche market on the legal expenses insurance product. In conclusion, like a case of the German legal expenses insurance company, the Korean insurer needs a customer oriented localized strategy as well as a niche market oriented strategy on the overseas insurance market.

• Journal of Korean Library and Information Science Society
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• v.30 no.2
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• pp.123-153
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• 1999

This article aims at finding the ways, on the basis of the studies about the behaviors to search the existing CD-ROM databases, so that the searchers who retrieve the on-line MEDLINE used in the medical libraries can use the data more efficiently than now. We gave the questionnaires to the librarians in 60 medical libraries and searched the literatures and realities on the behaviors of the data uses to examine the search behaviors of the MEDLINE in the medical libraries. The result is as follows: 1) The medical data system rate for single users was $53\%$ and the ons for multi users $43\%$. As for the time which users retrieve for a week, under two hours was $75\%$, between 3 and 8 hours $18.3\%$, and eve. 9 hours $6.7\%$. 2) The increasing factors of the search result are (1) an enough discussion and interview between librarians and users, and (2) the use of the correct indexing terms, Thesaurus, and Keyword. In principle users must search directly. However, the librarians searched instead in case that the retrieval result was under two hours a week$(75\%)$. 3) As for the search fee, $91\%$ was free and $9\%$ was charged. Also search effectiveness was enhanced by the means of Inter-Library Loan Service & Information Network. 4) The medical librarians answered the questionnaire that they need the application education of professional knowledge, medical terms(thesaurus) and electronic medium, and also they need the computer education, interview technique and reeducation to give a satisfactory service. 5) As for the satisfactory degree of MEDLINE application, they answered $44.6\%$ for economy, $38.2\%$ for the conveniency of the time required, and $58.9\%$ for the users' search satisfaction answered respectively. 6) The application of MEDLINE system enhanced the medical libraries' image and had an effect on the users' satisfaction of using the data and search, the data activities and the research achievement. 7) In the past MeSH was used but as the time passes CD-ROM MEDLINE search behavior was preferred to On-line one.

• Proceedings of the Korean DIstribution Association Conference
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• 2005.02a
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• pp.125-158
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• 2005

This study tried to identify major factors which determine repurchase intentions. We consider customer satisfaction, service quality, switching cost and consumption emotions which are recently proposed in the related literatures. To test them empirically, we collected 374 questionnaires among 620 from corporate customers of major banks and 112 from employees of a major bank in corporate banking and analyzed them by LISREL 8.12.. The result of this study can be summed up as follows. First the most important determinant factor in repurchase intentions is customer satisfaction. Second, it is desirable to measure service quality not only in terms of 'process service quality', a process of service delivery to customers, but also 'outcome service quality', what customers receive from services or from service providers. Third, positive consumption emotions have positive influence upon customer satisfaction, negative consumption emotions have negative influence upon customer satisfaction and repurchase intentions. Fourth, switching cost, even though small in its influence, has been proved to be antecedent in repurchase intentions along with customer satisfaction and negative consumption emotions. As precedents in customers' repurchase intentions, customer satisfaction and process service quality are revealed to exercise the biggest influences. Also, positive consumption emotions, negative consumption emotions, outcome service quality and switching cost can be used as determinants in predicting corporate customers' repurchase intentions.

• Journal of Distribution Research
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• v.12 no.2
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• pp.103-129
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• 2007

One of the most enduring concepts in the history of marketing thought relates to the classification of consumer goods. The product classification theory first proposed by Copeland(1923) has, with little modification, survived to the present day, and continues to be endorsed by the American Marketing Association and other related institutions some 80 years after it was first published. In truth, Copeland's classification is now outdated and bears little, if any, relevance to modern product advertising, retailing and consumption. In particular, it can not accommodate the fact that, in modern societies, consumer preoccupations with style, personal identity and status have meant that the social characteristics of goods, heavily promoted by brand managers who understand their markets, are key determinants of consumer choice and buyer behavior. In this respect, the author attempted to explore the reasons why product classification theory has been unresponsive to changes in market conditions over so many years and argue that its failure to embrace the many social influences on consumption and on consumer behavior is now its most serious weakness. And also, the author proposed the new categorization system of goods, based on the several existing literatures.

• Journal of Korean Medical classics
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• v.26 no.4
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• pp.117-153
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• 2013

Objective : Two famous medical doctors, Yoo Itae(以泰, 爾泰) and Riu Euitae(義泰), have been well known in academic world and public in Sancheong-gun. Yoo Itae is the progenitor of Majinhak which is the therapy for measles, he wrote a "Majinpyun" as the first book of therapy for measles in Chosun. Riu Euitae, meanwhile, is a fictional medical doctor and a teacher of Heo Jun who became real without confirmation of historical truths by Roh Jeongwoo who heard about a name, Yoo Itae. Roh's assertion was quoted in the report of literatures, papers, novel, and telecast without verification. His assertion is exposed in novel and media and it has seriously distorted the history. The purpose of this study is to rectify the historical distortion. Methods : Various references study was performed. Confirmed a family tree, birth and death year, birthplace, sepulture, words on a tombstone, writing, collections of works anthology and the existence of keepsake. Investigated records of royal family, Sancheong-gun papers, Sancheong Hyanggyo papers, Dongyuhagan, Chosun Hanryuseungram and the record of Sawoo Munjip(anthology). Analyzed Roh Jungwoo's conversation that tells Riu Euitae is a teacher of Heo Jun and contents of an encyclopedia. Listened to testimony of descendants and assertions of historian in rural area. Verified voice recording on books taken from at birthplace and the space of activity. Results : Yoo Itae is well shown in various records and medical writing books, whereas Riu Euitae does not. Riu Euitae is not a real person in the history. Roh Jeongwoo who asserts Riu Euitae is a teacher of Heo Jun admits his mistake. But, the encyclopedia record describing Riu Euitae is a teacher of Heo Jun, government official at Sancheong district office, historians in rural area, historians in rural area who made a family shrine, gravestone, a statue, memorial, historic site of Riu Euitae on Jinju Rui could not suggest any evidences for the existence of Riu Euitae and for record Riu Euitae is a teacher of Heo Jun. Conclusion : Riu Euitae is neither a real person in the history nor a teacher of Heo Jun. Riu Euitae came from pronunciation confusion between 'I' and 'Eui' in Kyungsang province. Riu Euitae is Yoo Itae on Geochang Yoo who was a medical doctor of King, Sukjeong and wrote medical books including , , .

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.2
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• pp.124-133
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• 2014

The study on Musa basjoo planting in traditional gardens in of folk villages and traditional temples was conducted to identify the phenomenon of Musa basjoo planting which frequently appears in paintings and literatures of the late Joseon dynasty and how the cultural custom is being handed down. The result of the study is as follows. As a result of studying state-designated folk villages 6 sites, the custom is being handed down in a few limited gardens including Asan Oeam Village and Seongju Hangae Village. In case of Oeam Village, there are three gardens where Musa basjoo was planted including Seolimbang, Vice Minister's Residence, and Geonjae House where Musa basjoo withered now. In case of Hangae Village, it was found in Bukbi House, Hahoe Residence and Gyoridaek Jinsa's Residence and most of them were planted in front of guesthouses and main building with the assemble-planting method. Musa basjoo planting was confirmed in 39 traditional temples and it was found that Yangsan Tongdosa Temple and attached hermitage Geukrakam are currently prevalent in Musa basjoo planting. Musa basjoo was planted on either side of the stairs of Buddhist sanctums for Buddha and Avalokitesvara Guan Yin of main temples and gwaneum temples with the assemble-planting method and it has a tendency of pair planting. Considering that Musa basjoo is a southern plant, most of Musa basjoo planting was distributed around Jeollanam-do and Gyeongsangnam-do, which is closely related to the isotherm distribution of the Korean Peninsula. Especially, it was found that planting flora was centered on $12^{\circ}C$ of Warmth Index $100^{\circ}$ and annual average temperature.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.2
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• pp.95-105
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• 2014

Dosangugok is located at Dosan-myeon, Andong City, Gyeongbuk and its original landscape was analyzed based on Valley4 Buncheon among Dosangugok. In order to estimate original landscape of Dosangugok, landscape elements were extracted after investigating ancient literatures including 'Nongamjib' and poetry/prose relevant to Dosangugok, landscape elements that could be confirmed at local site survey were suggested and arrangement of Buncheon village was estimated based on painting works. In analysis of poetry/prose, 29 landscape elements were extracted and as a result of local site survey, 6 places including Jeomam (Jari-bawi), Nongam (Gwimeok-bawi), Sajaseok (Saja-bawi), Sangam (Elephant rock), Dae and Bungang were confirmed to be existed at present and in painting works, Rocks such as Aeildang on the rock adjacent to Bungang, Buncheon Seowon at its backyard village, Bungang Byeoneui Gwimeokbawi, Jeomam were confirmed to be expressed even though not expressed in detail. Survey was performed based on ancient site of Nongam head house in parallel with interview with 17th eldest grandson(Ph.D. Lee, sung won)of Nongam Lee, Hyeon Bo and local site survey and original landscape was reproduced by making its result as a drawing and preparing an estimated map around this area.

• Journal of Intelligence and Information Systems
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• v.12 no.3
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• pp.15-32
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• 2006

The increasing complexity of the socio-economic environments makes it less and less possible for single decision-maker to consider all relevant aspects of problem. Therefore, many organizations employ groups in decision making. In this paper, we present a multiperson decision making method using fuzzy logic with linguistic quantifier when each of group members specifies imprecise judgments possibly both on performance evaluations of alternatives with respect to the multiple criteria and on the criteria. Inexact or vague preferences have appeared in the decision making literatures with a view to relaxing the burdens of preference specifications imposed to the decision-makers and thus taking into account the vagueness of human judgments. Allowing for the types of imprecise judgments in the model, however, makes more difficult a clear selection of alternative(s) that a group wants to make. So, further interactions with the decision-makers may proceed to the extent to compensate for the initial comforts of preference specifications. These interactions may not however guarantee the selection of the best alternative to implement. To circumvent this deadlock situation, we present a procedure for obtaining a satisfying solution by the use of linguistic quantifier guided aggregation which implies fuzzy majority. This is an approach to combine a prescriptive decision method via a mathematical programming and a well-established approximate solution method to aggregate multiple objects.

• Journal of Navigation and Port Research
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• v.36 no.6
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• pp.481-488
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• 2012

As an exploratory research to understand the nature of relationships between ports and their neighboring communities, this study analyzes how ports influence their residents' quality of life(QOL). The QOL was measured by 17 indicators reconstructed by reviewing relevant literatures. As a result, both Busan port and Dalian port were found to have statistically significant influence on many of QOL indicators including general expenditure per capita, number of manufacturing factories per capita, number of factories's laborer per capita, the rate of pavement, number of traffic accident per capita, rate of housing supply, number of financial agencies per capita, park area per capita, number of cultural assets per capita, the size of welfare expenditure per capita, number of fire occurrence per capita. And Busan port have statistically significant influence on QOL indicators including the rate of increase in population, number of public health industries per capita, number of public health industries per capita, number of schools per capita, number of sick-beds per capita, but Dalian port not have influence. Also Dalian port have statistically significant influence on number of crime occurrence per capita, but Busan port not have influence.

• The KIPS Transactions:PartB
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• v.14B no.7
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• pp.531-540
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• 2007

In this research, we proposed a two-phase hybrid stock price forecasting model with cointegration tests and artificial neural networks. Using not only the related stocks to the target stock but also the past information as input features in neural networks, the new model showed an improved performance in forecasting than that of the usual neural networks. Firstly in order to extract stocks which have long run relationships with the target stock, we made use of Johansen's cointegration test. In stock market, some stocks are apt to vary similarly and these phenomenon can be very informative to forecast the target stock. Johansen's cointegration test provides whether variables are related and whether the relationship is statistically significant. Secondly, we learned the model which includes lagged variables of the target and related stocks in addition to other characteristics of them. Although former research usually did not incorporate those variables, it is well known that most economic time series data are depend on its past value. Also, it is common in econometric literatures to consider lagged values as dependent variables. We implemented a price direction forecasting system for KOSPI index to examine the performance of the proposed model. As the result, our model had 11.29% higher forecasting accuracy on average than the model learned without cointegration test and also showed 10.59% higher on average than the model which randomly selected stocks to make the size of the feature set same as that of the proposed model.