• International Commerce and Information Review
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• v.13 no.1
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• pp.55-76
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• 2011

America is traditionally friendly to South Korea. Last year in 2008, U.S. exports to South Korea totaled $32.4 billion. The U.S. and Korean must reciprocate economic exchange. The purpose of this study to measure the re-purchase intentions and product satisfaction in America image. The major result of article can be summarized as follows. The factors of this article have been divided into 'society safety', 'industrialization level', 'economic image', 'political image', 'cultural image', and 'the character of a nation'. In the empirical result of the article, the goods satisfaction for America country image would be shown in the results. The first, 'society safety', 'industrialization level', 'the character of a nation' are significantly positive statistically to goods satisfaction. The second, 'economic image', 'political image', 'cultural image' are not as significantly positive statistically speaking.

• Korea Trade Review
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• v.42 no.1
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• pp.125-139
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• 2017

According to the US market research firm "Strategy Analytics(SA)", there is a sudden change of wind blowing in the global smart-phone market. In particular, several Chinese firms such as Huawei, Xiaomi and Oppo show a rapid growth in the pace of Chinese market, whereas other leading players like Apple and Samsung has slowly grown in China market. Therefore, this study will investigate the main antecedents of repurchase intention of smart phones in post-90th generation in China. In addition to this, the mediating effect of SIC will be analyzed. The results of the study are as follows; first, there is significant relationships among brand, individual experience and repurchase intention, on the other hand, there is no significant relationships between design, price, function factor and repurchase intention; second, SIC partially mediate the relationship between brand factors and repurchase intention. Based on the results targeted to post 90th generation in China, several implications are suggested for smart phone firms.

• Journal of Korean Public Health Nursing
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• v.24 no.1
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• pp.29-38
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• 2010

Purpose: To examine the image of nurses as perceived by nursing students and clarify the image determinants. Methods: Subjects were 260 nursing students from a nursing college in Chungcheongbuk-Do. They received and completed a structured questionnaire from March 12 to April 20. 2007. The questionnaire data was analyzed using SPSS Win 12.0. Results: The mean score of the image of nurses was 115.89 of a total 165. According to the subjects' general characteristics, the image of nurses was lower in 2nd and 3rd year nursing students who did not profess a religious affiliation, those without a nurse among their relatives, those who were neutral concerning nursing science, those whose perceived personality was negative, and in those whose perceived adaptability was moderate. The mean score of the image of nurses per item was 3.51 of a total 5, the lowest item of image of nurses was 'Many opportunities for promotion'. The mean score of factors determining the image of nurses was 3.86 of a total 5, the highest one was 'Nurses' expert knowledge'. Conclusion: Intervention to improve the image of nurses by nursing students is prudent.

• Journal of Distribution Research
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• v.6 no.1
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• pp.77-101
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• 2001

Recently, the role of Internet becomes wide so that it could provide the information among users as well as the opportunity to make commercial transactions in the cyberspace. Now, the virtual storefronts are the virtual space where anyone makes a profit on Internet by selling and buying goods/services. Therefore, it is important to develop the good image for cyberconsumers so that virtual storefronts can attract many browser to buy goods. The study reported examines how combination of specific elements in the internet environment influence cyberconsumers' inferences about the virtual storefront and discusses the extent to which these inferences mediate the virtual storefront loyalty. Results show that the virtual storefront elements were posited to be antecedents of virtual storefront image rather than components of virtual storefront image. In addition, the virtual storefront image mediators the satisfaction and loyalty of cyberconsumer on virtual storefront.

• Culinary science and hospitality research
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• v.16 no.2
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• pp.1-14
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• 2010

This study is focused on the image benefit cost criterion value and the pure image benefit figure of the local food service industries, V, T, and O based on the theory and factor-analyses of food service industry. To accomplish the aim of this study, theoretical and positive research methods have been applied. The steps of food service image decision projects for the activating of identification on food service have been examined through theories and positive analyses. As the results, 'the image of menu service' appears to be the most effectual factor on the pure image benefit score, which is the priority order of the project planning for the food service image marketing of Jeonju area. As for the image benefit cost criterion value, 'the image of managemental service system', 'the image of approachability', and 'the service of internal surroundings' have been proved to be the most effectual factor in V, T, O respectively. On the other hand, this study shows that V manages its image of food service most effectually with 1.7 billion won, T with 96 million won, O with 7.2 million won for the image marketing strategy.

• Korean Business Review
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• v.10
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• pp.275-292
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• 1997

• Science of Emotion and Sensibility
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• v.10 no.4
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• pp.631-637
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• 2007

This research focuses on similarity evaluation of images according to tones of images. Color space of images were converted RGB color space into HSI color space. The information entropy criteria has been taken for evaluating similarity of images for digital library. The similarity was then calculated by combining correlation coefficients and information entropy. Those two values are further analyzed with a relation to human sensibility.

• Journal of Korean Academy of Nursing Administration
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• v.12 no.1
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• pp.52-62
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• 2006

Purpose: This study was designed to identify the image of nurse and it's determinants among nursing students and non-nursing students. Method: A descriptive correlational research design was used. All 1908 subjects were obtained by convenience sampling from three nursing diploma programs. The data were collected using a self-reporting questionnaire from April 1st to June 30th, 2005. Collected data were analyzed on SPSS Win 12.0. Result: The mean score of 'professional image factor' was higher than any other factors of image of nurse in both nursing students and non-nursing students. The mean score of 'subjective determinant' was higher than any other determinants among nursing students and non-nursing students. The image of nurse and it's determinants of nursing students were significantly higher than those of non-nursing students'. Conclusions: The findings of this study indirectly showed that the practical strategies would be needed in order to promote the image of nurse of the people who were not be related to nursing.

• Korean journal of communication and information
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• v.32
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• pp.113-146
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• 2006

This study explored how media and interpersonal communication affected voters in Busan mayoral by-election, focusing on the mutual relations among media use and attentive use of political campaign, interpersonal communication, and voting participation. Also, comparative analysis between image factor and the factor of political party influencing the decision of a candidate were examined. Additionally, it was analysed differential media effects on candidates' image. According to the results, the local media use and attentive use of political campaign had the influence on the increase of interpersonal communication about the election. Voters who had much interpersonal discussion with others participated more than voters who had less interpersonal discussion. Media use did not directly affect the participation of voting, but indirectly contributed to participation of voting through interpersonal discussion. The assumption of differential media effects on candidates image was partly proved. There were statistically significant differences in the factor of competence of candidates' image among three experimental groups (attentive use of TV discussion program, Internet web sites of two candidates, and printing materials of political advertisement). Furthermore, with three main vote variables, issues, candidates image, party identification, the results of comparative analysis between image factor and the factor of political party influencing the choice of a candidate suggested that a sense of oneness with a party was highly related to the choice of the candidates of the party, however, candidates' image was not related to the decision of a candidate. Political party had more impact on for whom to vote than candidates' image in this study.

• The Korean Journal of Applied Statistics
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• v.33 no.5
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• pp.603-614
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• 2020

This study focuses on the prediction and factors of apartment prices in Seoul using a convolutional neural networks (CNN) model that has shown excellent performance as a predictive model of image data. To do this, we consider natural environmental factors, infrastructure factors, and social economic factors of the apartments as input variables of the CNN model. The natural environmental factors include rivers, green areas, and altitudes of apartments. The infrastructure factors have bus stops, subway stations, commercial districts, schools, and the social economic factors are the number of jobs and criminal rates, etc. We predict apartment prices and interpret the factors for the prices by converting the values of these input variables to play the same role as pixel values of image channels for the input layer in the CNN model. In addition, the CNN model used in this study takes into account the spatial characteristics of each apartment by describing the natural environmental and infrastructure factors variables as binary images centered on each apartment in each input layer.