• Review of Culture and Economy
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• v.19 no.2
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• pp.3-28
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• 2016

The present study attempted the segmentation of the art gallery visitors on the basis of leisure lifestyles. For this purpose, leisure lifestyle surveys were administered at Korea's three representative art galleries, the National Museum of Modern and Contemporary Art, Seoul Museum of Art, and Seoul Art Center's Hangaram Art Museum. A total of 314 questionnaires were analyzed to identify leisure lifestyle factors. On the basis of the lifestyle factors, a cluster analysis was performed, and then the differences of demographics, museum visiting behaviors, and general cultural consumption among the clusters were examined. The cluster analysis revealed four groups of lifestyles, 'culture and art lovers', 'active homebodies', 'low leisure spenders', and 'omnivorous culture and sports participants'. The four groups revealed the differences in terms of demographics, museum visiting behaviors, and general cultural consumption. On the basis of the findings, the marketing strategies targeting the segmented art gallery markets were discussed.

• Informatization Policy
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• v.18 no.2
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• pp.85-98
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• 2011

This paper attempts to develop an index of mobile telecommunications service quality through econometric analysis using data of the leading telco in each OECD country. CapEx of the operator was selected as a proxy variable to represent the quality of the service. To eliminate the part which is dependent on the population and size from CapEx, however, CapEx was regressed on population, area, 3G coverage, Herfindahl-Hirschman Index (HHI) of mobile market, EBITDA margin, and market share of the leading operator. Then, the part of CapEx, which was explained by size and population, was subtracted from CapEx, and the remaining part was regarded as the quality index of mobile telecommunications service. Comparisons among quality indexes of each country revealed that the service quality in Korea and Japan is better than that of France, UK and Germany.

• Management & Information Systems Review
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• v.34 no.5
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• pp.1-21
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• 2015

This study is to testify whether according to the variables of population statistics there emerge differences in the ethical leadership, ethical climate, organizational citizenship behavior and LMX by Social Entrepreneurs. For this we have performed survey 652 social entrepreneurs at authorized Social Enterprises. The results of analysis are as follows. First, it was analyzed that the sub-factors of the ethical leadership, such as contribution and integrity by Social entrepreneurs have revealed significant difference according to gender. Also the sub-factor of ethical climate, such as utilitarianism has revealed significant difference by gender, too. The analysis result signifies no significance in OCB, LMX. Second, there were significant difference in the sub-factor of ethical leadership such as integrity, the sub-factor of ethical climate such as, utilitarianism, the sub-factor of OCB such as effectiveness, and LMX by religious. Third, the analysis result signifies no significance in ex-work place, whether they worked at Social enterprise or not. Finally, as the result of our analysis whether there are any differences according to gender, religious, and ex-work place of the Social entrepreneurs in the ethical leadership, ethical climate, OCB, and LMX by Social entrepreneurs, it was revealed that there are some significant. This study emphasizes the importance of ethical leadership, ethical climate, OCB and LMX. It reveled these variables have differences by demographic characteristics of Social entrepreneurs. In conclusion, this study suggests that the consideration of the variables of population statistics according to the various variables about Social enterprise.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.353-371
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• 2010

Library anxiety has been recognized as one of the representative fields that concerns user's affectivity in library and information study. Considerable library users have been discovered to experience library anxiety according to researches. Although digital libraries are becoming more popular changing drastically from traditional libraries, few studies have addressed the measurement of digital library anxiety(DLA). The purpose of this study is to develop and validate a multidimensional digital library anxiety scale(DLAS) based on previous research in library anxiety and digital libraries. It will become possible to define the construct of DLAS, provide its underlying dimensionalities, and find out how much they explain the construct. Through the exploratory factor analysis, DLAS has been developed with 39 items representing seven distinct factors which were interpreted as affect, resources, know-how, security, language, technology, and task explaining 51.165% of DLA. Also, DLAS' characteristics about demographic variables and use pattern were found through the T-test and ANOVA analysis for each factor.

• Journal of Engineering Education Research
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• v.12 no.3
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• pp.31-40
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• 2009

In this paper, we consider the characteristics of information technology sectors women. By surveying IT women worker, we attempted to define the attributes of them and examine the problems and what they are needed to IT education following the changes in the highly competitive information technology industry. Especially, we used data mining tools says association analysis to analyze for the Women Information Scientist Association of Korea(WINSA) provides IT worker women with education packages and what is the general culture course from the point of IT employment view. The data was analyzed by SAS enterprise tools.

• Journal of the Korean association of regional geographers
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• v.22 no.2
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• pp.424-438
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• 2016

In an effort to prevent urban decline and hollowing-out phenomenon and to vitalize stagnant local economy, a new urban regeneration paradigm is on the rise. This study aims to analyze urban decline characteristics using the spatial statistical method and GIS on the basis of decline standards in the Urban Regeneration Special Act, and spatial autocorrelation technique. The Gwangju Metropolitan City was set as a research target, and the decline standards in the Urban Regeneration Special Act - population reduction, business declines, and outworn buildings - were applied as the indicator to secure the objectivity. In particular, this study has a distinctive feature from the other existing ones, as applying GIS and the spatial statistical technique, in a sense to make urban decline characteristics analysis by the spatial autocorrelation technique. The overall analysis procedure was carried out by applying the standards of designating urban regeneration regions, and following the spatial exploratory procedure step by step. Therefore, the spatial statistical method procedure and the urban decline characteristics analysis data being presented in this study, as the results, are expected to contribute to the urban decline diagnosis at the level of metropolitan city, as well as to provide useful information for spatial decision making in accordance with urban regeneration.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.1
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• pp.77-100
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• 2022

In the era of low growth, many provincial cities are experiencing population decline and aging. Population decline phenomena such as reduction of productive manpower, reduction of finances, deterioration of quality of life, and collapse of the community base are occurring in a chain and are being pushed to the brink of extinction of the cities. This study aims to propose a methodology to objectively estimate the employment creation centers and setting the basic unit of industrial-centered zoning by applying spatial statistical techniques and GIS for the application of the compact city plan as an efficient spatial management policy in a city with a declining population. In details, based on reviewing previous studies on compact city, 'employment complex index(ECI)' were defined considering the number of workers, the number of settlers, and the area of development land, the employment creation center was estimated by applying the 'Local Moran's I' and 'Getis-Ord's Hot-Spot Analysis'. As a case study, changes in the four years of 2013, 2015, 2017, and 2019 were compared and analyzed for Changwon City. As a result, it was confirmed that the employment creation center is becoming compacted and polycentric, which is a significant result that reflects the actual situation well. This results provide the basic data for functional and institutional territorial governance for the regional revitalization platform, and provide meaningful information necessary for spatial policy decision-making, such as population reduction, regional gross domestic product, and public facility arrangement that can respond to energy savings, transportation plans, and medical and health plans.

• Annual Conference of KIPS
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• 2011.11a
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• pp.1418-1421
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• 2011

본 연구는 스마트폰과 스마트패드 이용자의 차별적인 특성을 규명하고, 모바일광고의 선호 유형에서 어떠한 차이를 보이는지 검증하고자 한다. 아직까지 스마트 디바이스 기반 모바일광고의 이론적 범위가 정형화되지 않은 시점이기 때문에, 광고수용자 관점의 광고인식이나 선호에 관한 연구는 미비하다. 모바일기기 이용자의 특성을 비교하기 위해, Jacques Attali(1992)의 노마드 이론을 토대로 개인정황관련성, 변화지향성, 속전속결성 변인과 성별, 연령, 학력, 직업, 생활방식의 인구통계학적 변인을 분석 기준으로 선정하였다. 또한, 선행연구에서 Q이론을 통해 발견한 바 있는 이용자 인식에 기인한 모바일광고 유형 분류체계를 양적 연구에 적용하여, 스마트폰 이용자 317명과 스마트패드 이용자 107명을 대상으로 서베이 조사를 수행하였다. 본 연구의 결과는 이동통신이나 광고 산업에서 이용자 세분화 및 모바일광고의 마케팅 전략 프레임워크나 이론적인 틀로서 활용가치를 기대할 수 있다.

• The Korean Journal of Applied Statistics
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• v.35 no.5
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• pp.619-629
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• 2022

The five major violent crimes including murder, robbery, rape·forced indecent act, theft, and violence are representative crimes that threaten the safety of members of society and occur frequently in real life. These crimes have negative effects such as lowering the quality of citizens' life. In the case of Seoul, the capital of Korea, the risk for the five major violent crimes is increasing because the population density of Seoul is increasing as a large number of people in the provinces move to Seoul. In this study, to reduce this risk, the relative risk for the occurrence of the five major violent crimes in Seoul is modeled using three spatio-temporal models. In addition, various risk factors are included to identify factors that significantly affect the relative risk of the five major violent crimes. The best model is selected in terms of the deviance information criterion, and the analysis results including various visualizations for the best model are provided. This study will help to establish efficient strategies to sustain people's safe everyday living by analyzing important risk factors affecting the risk of the five major violent crimes and the relative risk of each region.

• Information Systems Review
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• v.8 no.1
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• pp.181-201
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• 2006

As the Internet spreads, many people have interests in e-CRM and product recommender systems, one of e-CRM applications. Among various approaches for recommendation, collaborative filtering and content-based approaches have been investigated and applied widely. Despite their popularity, traditional recommendation approaches have some limitations. They require at least one purchase transaction per user. In addition, they don't utilize much information such as demographic and specific personal profile information. This study suggests new hybrid recommendation model using two data mining techniques, association rule and classification, as well as intelligent agent to overcome these limitations. To validate the usefulness of the model, it was applied to the real case and the prototype web site was developed. We assessed the usefulness of the suggested recommendation model through online survey. The result of the survey showed that the information of the recommendation was generally useful to the survey participants.