• Culinary science and hospitality research
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• v.16 no.4
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• pp.139-150
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• 2010

The purpose of this study is to examine the market segments of Korea specialty coffee shops based on the benefit variables by customers when they visit a coffee shop. For this study, SPSS WIN 17.0 was used for the frequency analysis, factor analysis, reliability test, cluster analysis, one-way ANOVA and cross tabulation. Benefit factors were divided into atmosphere factor, value factor, marketing factor, cleanliness & comfort factor, and service factor. Three distinct segments of customers were identified: passive benefit seekers, marketing benefit seekers and emotion benefit seekers. In order to explore differences between clusters and demographic and behavior variables, cross tabulation were used. These findings could be helpful for the marketers who need to establish a marketing strategy for grasping the characteristics of market segments and generating profits.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2006.05a
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• pp.55-62
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• 2006

본 논문에서는 차세대 네비게이션 서비스의 개발을 위하여 사용자 요구사항 분석에 기반한 기술개발 요인을 분석하고 이를 추출해 보고자 한다. 사용자 요구분석을 위하여는 네비게이션 서비스의 6대 기능 요소를 기준으로 소항목을 도출하여 실제 네비게이션 서비스 사용자들을 통하여 기능요소의 중요성을 척도분석 하도록 한다. 이렇게 분석된 요소들의 중요성 척도를 바탕으로 우성 기능요소 인자들을 추출하고 우성 기능요소 인자들을 바탕으로 상관분석을 수행한다. 우리는 상관 분석을 통하여 기능요소들간의 연관성을 찾아낼 수 있으며 여기서 요소들간의 연관성을 바탕으로 한 주요한 기술개발 요인을 찾아낼 수 있다. 이렇게 찾아진 기술개발 요인은 다시 한번 요인분석의 통계량 검정과정을 거쳐 의미 있는 요인이 추출되고 있는가 다시 한번 확인하게 된다.

• Journal of Korea Technology Innovation Society
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• v.9 no.4
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• pp.865-883
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• 2006

This paper explored the development factors influencing the high growth of internet media industry recently in Korea. Both theoretical model and analytic model were formulated and tested by the results of questionnaire analysis. The factors extracted from five fields were as followings: policy, technology, market, firm, and profitability. Factor analysis was used to test the fitness of the given model, and the hypothesized model was found to be useful to explain the development factors of the internet media industry. The results showed that industry's development was explained by 41.3% for firm level, 37.6% for IT technology and policy, and 21.00/0 for market condition and competition.

• The Journal of Korean Association of Computer Education
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• v.9 no.3
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• pp.67-74
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• 2006

The purpose of this study is identifying variables that affect to learners' preference toward specific e-learning programs, using an exploratory factor analysis(EFA) method. We extract common factors that explain the correlations among variables. In the result, 8 factors were identified as main influential factors: e-learning program design(1st factor), the purpose of e-learning use(2nd factor), social and cultural issues(3rd factor), demographics(4th factor), organizational needs(5th factor), impacts of e-learning(6th factor), e-learning management(7th factor), and technical issue(8th factor).

• Journal of the Korean association of regional geographers
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• v.15 no.3
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• pp.409-420
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• 2009

This study aims at analyzing location and policy factors influencing the move-in decision of apartment factories on the case study of middle and small sized companies in Daegu City. The main results of this study are as follows. Firstly, analyzing the questionnaire survey results, 58.2% of response companies have the intentions to move-in apartment factories. Secondly, through the factor analysis to the location factors, 5 factors such as network, move-in cost, accessibility, factory space and labor are derived. And through the factor analysis to the policy factors, 3 factors such as management support policy, pecuniary support policy and administrative support policy are also derived. Finally, analyzing logistic regression analysis, we can find pecuniary support policies influence the move-in decision of apartment factories.

• Journal of Wetlands Research
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• v.16 no.3
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• pp.293-302
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• 2014

This study analyzed the influence relationship of community businesses' success factors and support factors on goals in 5 West Sea islands. As research methods, it conducted a survey with experts in academia and public institutions concerning them, and analyzed the effects of the success factors and support factors on their goals. As the methods of the analysis, a factorial analysis was carried out to assess the validity and the characteristics of the community businesses' success factors and support factors, and a one-way ANOVA was carried out to verify whether the difference in the mean of the experts' career is statistically significant. Lastly, a multiple regression analysis was conducted to analyze the effects of the success factors and support factors on the community businesses' goals.

• The Korean Journal of Elementary Counseling
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• v.11 no.2
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• pp.219-235
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• 2012

The purpose of this study was to identify the factors of school happiness of elementary students by implicit theory. For this purpose, 192 items for happiness were constructed based on 76 5th and 6th elementary students' free descriptions. Then 75 items were selected for preliminary factor analysis based on item appropriateness by evaluation of 28 elementary teachers. The happiness inventory composed 136 items was administered to 155 students and 36 items were selected based on exploratory factor analysis results. 4 factors-optimism, positive peer-relationship, self-esteem, consideration, and teacher-relationship-were extracted by principal component analysis. The confirmatory factor analysis indices indicated that 4 factor model of happiness was fit. The reliability(Cronbach's ${\alpha}$) was .996.

• Korean Journal of Environment and Ecology
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• v.13 no.2
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• pp.184-198
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• 1999

최근 개발의 압력을 받고 있는 충청북도 영동 민주지산을 대상으로 산림의 질을 평가하고 관리대상을 제시하고자 73개 조사구를 설정하여 조사를 실시하였다. 분석을 위해 27개의 식생과 지리정보변수를 마련하였다. 자료의 양을 줄이기 위해 ordination 기법과 요인분석을 사용하여 변수를 축소시켰다. 식생을 분석한 결과 다섯 개의 군집으로 분류되었으며, 이는 DCA에서도 비슷한 경향을 나타내었다. 요인분석에서는 13개의 변수가 5개가 요인으로 압축되었는데, 요인 1은 수종의 풍부도, 요인 2는 건중량, 요인 3은 밀도, 요인 4는 임령 그리고 요인 5는 지리적 특성으로 나뉘어졌다. 천이상황를 예측하는 모형은 다중회귀로 표현되었고, 주요 변수로는 유기물의 깊이, Shannon의 종다양도 그리고 흉고직경이 사용되었다. 그리고 GIS를 이용한 산림관리의 의사결정과정을 도출하였다.

• Journal of Navigation and Port Research
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• v.30 no.8 s.114
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• pp.669-674
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• 2006

The purpose of this study is to examine the effects of the factors on the usage level of e-business in the shipping companies. In order to do empirical analysis, firstly, this study carried out reliability analysis and factor analysis. Secondly, this study examined the effects of the factors on the usage level of e-business in the shipping companies by multiple regression analysis. In conclusion, the analysis result revealed that 5 factors effect on the service business usage's level and 4 factors effect on the real transaction usage's level of e-business.

• International Area Studies Review
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• v.17 no.4
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• pp.109-130
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• 2013

This study aims to identify the priority for the Gwangyang and Qingdao hinterlands which are in the same category of benchmarking crowed paths. This study has been mainly done with comparison. There is certain limitation to use competitive factors of existing research so, this study has had proper competitive factors deriving from factors analysis and studied hinterland priority of competing factors by AHP. Major results are as follows. First, the factor analysis resulted in 20 factor that were 0.6 or higher loading level of commonality and then these 20 factors were divided into groups: operating factors, service factors, cost factors, port infrastructure factors, and hinterland conditions factors with the rotated component matrix analysis. Second, according to the result of top competitive factors, the best factor was the hinterland condition(0.256). The other factors such as infrastructure, economy, accessibility, incentive, and port traffic in hinterland were highly ranked in terms of general importance using multiple weights. Third, the result of detailed properties importance about the final alternative, Gwangyang hinterland was considered more highly than Qingdao hinterland in the port information system, the support a variety of administrative services, the efficiency of the customs, and the tax benefits.