• Journal of the Korean Institute of Landscape Architecture
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• v.40 no.2
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• pp.74-85
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• 2012

As competition increases, ski resort managers need to search for ways to attract previous visitors or to gain new visitors through word-of-mouth. This study examined the impact of skiers' perceived value, satisfaction and self-congruity on the revisit intention and the positive word-af-mouth intention. Total respondents were also segmented into a promotion-focus and prevention-focus individuals then later examined the differences in the effect of independent variables between groups in order to suggest a managerial direction that will enhance business competency of ski resorts. Results from regression analysis showed that all independent variables utilized in this study were good predictors of two dependent variables. Specially, satisfaction was a highly significant predictor. Promotion and prevention-focused individuals were also differed in evaluating the importance of independent variables for their revisit and word-of-mouth intention. It means that self-regulatory focus is an effective variable for segmentation. More specifically, satisfaction was the only variable influencing the revisit intention for promotion-focused individuals; whereas both satisfaction and self-congruity had significant effects on the revisit intention for prevention-focused individuals. All independent variables had significant effects on the word-of-mouth intention, except self-congruity for promotion-focused individuals. This research suggests several managerial implications on the findings based on the analysis and the characteristics of the visitors.

• Science of Emotion and Sensibility
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• v.7 no.3
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• pp.15-25
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• 2004

The regression analysis and Adaptive -Network based Fuzzy-inference system (ANFIS) were applied to the explanation on human's visual texture of cotton fabrics with 7 mechanical properties. The ANFIS uses the structure with fuzzy membership function and neural network. The results obtained by the statistical analysis through the coefficient of correlation and regression analysis showed that subjective texture had a linear relationship with mechanical properties. But It had a relatively low coefficient of determination and was difficult that the statistical analysis explained other relationship with the exception of a lineality and interaction among mechanical properties. Comparing the statistical analysis, the ANFIS was an effective tool to explain human's non-linear perceptions and their interactions. But to apply ANFIS to human's perceptions more effectively, it is necessary to discriminate effective input variables through controlling the properties of samples.

• Journal of the Korean Data and Information Science Society
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• v.22 no.5
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• pp.849-856
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• 2011

In this paper, we study the influence analysis of admission and enrollment variables including individual characteristics variables on employment of graduate students at K university. First, logistic regression analysis is used to examine the main effects of admission, enrollment variables including student's individual characteristics on employment. Also, decision tree analysis is used to examine the interaction effects for the variables on employment. The results of this paper may be helpful to K university in designing effective job finding strategies for graduate students.

• Journal of Korean Society of Transportation
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• v.16 no.4
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• pp.187-194
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• 1998

본 연구는 교통사고 심각도와 관련된 중요변수를 찾고 이들 변수를 바탕으로 신경망, Decision Tree, 로지스틱 회귀분석을 이용하여 사고 심각도 분류 예측모형을 추정하였다. 다수의 범주형 변수로 이루어진 교통사고 통계원표상의 설명변수 들로부터 사고 심각도 변화에 영향력 있는 변수 선택을 위하여 독립성 검정을 위한 $x^2$ test와 Decision Tree를 이용하였고, 선택된 변수들은 신경망과 로지스틱 회귀분석의 기초로 이용되었다. 분석결과 세가지기법간에 분류정확도에는 유의한 차이가 없는 것으로 나타났다. 그러나 Decision Tree가 설명변수 선택능력과 분석수행시간, 사고 심각도 결정요인 식별의 용이함 측면에서 범주형 종속변수인 사고 심각도의 분석에 적합한 것으로 보이며 사고 심각도에는 보호장구가 가장 큰 영향을 미치는 것으로 재입증되었다.

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.373-381
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• 1998

본 연구는 교통사고 심각도와 관련된 중요변수를 찾고 이들 변수를 바탕으로 신경망, Decision Tree, 로지스틱 회귀분석을 이용하여 사고 심각도 분류 예측모형을 추정하였다. 다수의 범주형 변수로 이루어진 교통사고 통계원표상의 설명변수 들로부터 사고 심각도변화에 영향력 있는 변수선택을 위하여 $X^2$ 독립성 검정과 Decision Tree를 이용하였고, 선택된 변수들은 신경망과 로지스틱 회귀분석의 기초로 이용되었다. 분석결과 세가지기법간에 분류정확도에는 유의한 차이가 없는 것으로 나타났다. 그러나 decision Tree가 설명변수 선택능력과 분석수행시간, 사고 심각도 결정요인 식별의 용이함 측면에서 범주형 종속변수인 사고 심각도의 분석에 적합합 것으로 보이며 사고 심각도에는 보호장구가 가장 큰 영향을 미치는 것으로 재입증되었다.

• Journal of Korean Home Economics Education Association
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• v.21 no.4
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• pp.91-103
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• 2009

The purpose of this study was to examine how family strengths and cultural disposition were correlated to their interpersonal relationship. Participant of this research were 282 boys and girls who were high schools. Major findings of this study were as follows: 1) there was statistically significant differences in the interpersonal dispositions between sex. 2) boys and girls were significantly conncerning positive correlation among family strengths, cultural disposition and interpersonal dispositions. Multiple regression analysis showed that family strengths, cultural disposition and variables influenced social relation orientation and expression orientation.

• Journal of Korean Society of Forest Science
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• v.60 no.1
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• pp.17-23
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• 1983

Total 83model forest owners in Korea were investigated to find out the relationship between their attitudes toward tree felling (or propensity to felling) and selected six independent variables, i.e, owner's age(X1), educational level(X2), forest land area (X3), socioeconomic status (X4), communication (X5) and sociopsychological factor(X6). The dependent variable was measured by Liken attitude scale, and analyzed by multiple regression. Major findings of the study are summarized as follows: 1) The degree of the propensity of felling is relatively high. The communication and sociopsychological variables are negatively, but education level is positively related to the dependent variable. 2) The multiple correlation coefficient between felling-attitude score and six independent variables is 0.5322. Of the variance of this sttitude score, about 13 percent can be explained by communication variable, 6 percent by sociopsychological variable and other 6 percent by age variable. 3) The model owners' attitudes toward felling are positively correlated with there sources of communication variable, i.e. personal contact, social participation and mass media contact. The multiple correlation coefficient between felling-attitude score and three sources of communication variable is 0.4049. This means that 16 percent of the variance of the attitude score can be explained by three sources of communication, that is, 9 percent by personal contact, 5 percent by social participation and 3 percent by mass media. 4) The fatalistic, untrustful and non-ambitious personalities were positively, but conservative personality negatively related to the propensity to tree felling. The multiple correlation coefficient between seven different personalities and the dependent variable is 0.5461. Of the variance of the dependent variable, 11 percent can be explained by untrustful personality, and other 11 percent by nonambitious personality.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.149-169
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• 2018

Korea is currently accumulating a large amount of data in public institutions based on the public data open policy and the "Government 3.0". Especially, a lot of data is accumulated in the tourism field. However, the academic discussions utilizing the tourism data are still limited. Moreover, the openness of the data of restaurants, hotels, and online tourism information, and how to use SNS Big Data in tourism are still limited. Therefore, utilization through tourism big data analysis is still low. In this paper, we tried to analyze influencing factors on foreign tourists' satisfaction in Korea through numerical data using data mining technique and R programming technique. In this study, we tried to find ways to revitalize the tourism industry by analyzing about 36,000 big data of the "Survey on the actual situation of foreign tourists from 2013 to 2015" surveyed by the Korea Culture & Tourism Research Institute. To do this, we analyzed the factors that have high influence on the 'Satisfaction', 'Revisit intention', and 'Recommendation' variables of foreign tourists. Furthermore, we analyzed the practical influences of the variables that are mentioned above. As a procedure of this study, we first integrated survey data of foreign tourists conducted by Korea Culture & Tourism Research Institute, which is stored in the tourist information system from 2013 to 2015, and eliminate unnecessary variables that are inconsistent with the research purpose among the integrated data. Some variables were modified to improve the accuracy of the analysis. And we analyzed the factors affecting the dependent variables by using data-mining methods: decision tree(C5.0, CART, CHAID, QUEST), artificial neural network, and logistic regression analysis of SPSS IBM Modeler 16.0. The seven variables that have the greatest effect on each dependent variable were derived. As a result of data analysis, it was found that seven major variables influencing 'overall satisfaction' were sightseeing spot attraction, food satisfaction, accommodation satisfaction, traffic satisfaction, guide service satisfaction, number of visiting places, and country. Variables that had a great influence appeared food satisfaction and sightseeing spot attraction. The seven variables that had the greatest influence on 'revisit intention' were the country, travel motivation, activity, food satisfaction, best activity, guide service satisfaction and sightseeing spot attraction. The most influential variables were food satisfaction and travel motivation for Korean style. Lastly, the seven variables that have the greatest influence on the 'recommendation intention' were the country, sightseeing spot attraction, number of visiting places, food satisfaction, activity, tour guide service satisfaction and cost. And then the variables that had the greatest influence were the country, sightseeing spot attraction, and food satisfaction. In addition, in order to grasp the influence of each independent variables more deeply, we used R programming to identify the influence of independent variables. As a result, it was found that the food satisfaction and sightseeing spot attraction were higher than other variables in overall satisfaction and had a greater effect than other influential variables. Revisit intention had a higher ${\beta}$ value in the travel motive as the purpose of Korean Wave than other variables. It will be necessary to have a policy that will lead to a substantial revisit of tourists by enhancing tourist attractions for the purpose of Korean Wave. Lastly, the recommendation had the same result of satisfaction as the sightseeing spot attraction and food satisfaction have higher ${\beta}$ value than other variables. From this analysis, we found that 'food satisfaction' and 'sightseeing spot attraction' variables were the common factors to influence three dependent variables that are mentioned above('Overall satisfaction', 'Revisit intention' and 'Recommendation'), and that those factors affected the satisfaction of travel in Korea significantly. The purpose of this study is to examine how to activate foreign tourists in Korea through big data analysis. It is expected to be used as basic data for analyzing tourism data and establishing effective tourism policy. It is expected to be used as a material to establish an activation plan that can contribute to tourism development in Korea in the future.

• Journal of Korean Library and Information Science Society
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• v.32 no.2
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• pp.1-20
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• 2001

The aim of this study is to) represent the relationship of organizational commitment and its antecedent variable and show the influence of them in the libraries. For this, We selected librarian\`s personal characteristics, job characteristics, organizational characteristics and work experiences as an independent variables and value commitment, commitment to stay as a dependent variables. Collected data was derived from questionnaire of the 128 librarians of 17 public libraries at susan. 1)The women\`s level of commitment was higher than man. 2)Centralization was negative to the organizational commitment. 7)The rank that influence on the organizational commitment was work experience first, and then organizational characteristics, and job characteristics was the last.

• Korea journal of population studies
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• v.27 no.2
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• pp.155-175
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• 2004

이 연구는 여성의 삶의 질에 '일'과 '가족'이 갖는 의미가 무엇인지를 알아보기 위해서, 여성의 '신체적${\cdot}$정신적 건강'에 미치는 '일'과 '가족'의 효과를 분석하고 있다. 이 연구는 생산직 및 사무직에 종사하는 기혼 여성 902명에 대한 설문지 면접조사결과를 회귀분석방법으로 분석하였다. 분석결과, 기혼여성노동자의 신체적 건강과 정신건강에 미치는 직업특성${\cdot}$가족특성의 영향력에 변별성이 발견되었다. 가족특성이 기혼여성노동자의 정신건강에만 유의미한 영향을 미친 반면, 직업특성은 이들의 신체적 건강${\cdot}$정신건강 모두에 유의미한 영향을 미침으로써 여성들에게 직업이 갖는 의미가 재해석되어야 함을 암시하였다. 분석결과가 함의하는 바는 다음과 같다. 첫째, '업무스트레스'의 효과처럼 동일한 변수가 성별로 상이한 효과를 미친다는 사실에서 '일'에 대한 성별화된 사회규범이 해체되어야 한다. 둘째, 여성의 연령 증가, 자녀수 증가에 따라 정신건강이 좋아진다는 결과에서 여성에게 '가족'과 '일'의 갈등적 측면 못지않게 지원적 측면이 강화되고 있다. 셋째, 기혼여성노동자의 건강에 가장 영향력 있는 변수는 '가정형편' 변수로서, 건강의 계층화 현상에 주목할 필요가 있으며 저소득층에 대한 각별한 건강복지정책이 요구된다는 점이다.