• Journal of Fashion Business
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• v.15 no.3
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• pp.32-50
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• 2011

This study is designed to analyze the effects of demographic factors on children's wear brand preference and their reasons, and brand evaluations. A total of 355 usable data was collected from housewives in three metropolitan cities (Seoul, Daejeon, and Sungnam) in Korea. An ANOVA and crossing analysis were used to determine the strength(percentage) among several dependent variables. Also, regression analysis was used to examine the effects of demographic factors on each factor and component related to fashion brand evaluation. Overall, ANOVA and crossing analysis results showed that the visual attributions (variables) of clothing marked significantly higher scores than others (functional attributions). This result is noteworthy because it is opposite of common stereotypes and prejudices that selectors who first recognize visual information (aesthetic attributions) as a clothing buying criteria should be unsatisfied with them after wearing. Therefore, this research suggests that the chief reason in determining the outcome of success or failure in fashion industry depends on their trend productions with fashion image creation by reflecting the exclusive trends based on consumer's taste and wants.

• Asian Journal for Public Opinion Research
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• v.3 no.3
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• pp.111-130
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• 2016

Researchers have been perplexed by the issue of unit nonresponse since the beginning of practicing survey research and have been attentive to the causes that lead to the occurrence of unit nonresponse as well as the impact of unit nonresponse. However, because researchers have little to no information regarding unit nonrespondents, it is unlikely that they are able to examine the differences between participants and nonrespondents to estimate the loss of representativeness in the final sample compared with the target population. Therefore, the lack of information regarding the absentees complicates addressing the unit nonresponse bias in a satisfactory manner. Therefore, the purpose of this study was to determine the demographic characteristics and political attitudes of nonrespondents by relying on information provided by their spouses, which was obtained through a telephone survey conducted in Taiwan. It is found that demographic variables as well as political attitudes are related to the likelihood of an individual becoming a unit nonrespondent in telephone surveys.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.213-215
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• 2003

In this paper the use of panchromatic KOMPSAT-1 imagery is proposed to provide detailed information on built-up areas in suburban regions. In order to derive this information a texture analysis is utilized. In the next processing step census data are incorporated in order to perform refined demographic analysis. Assuming that the population lives in settlements rather than in agricultural areas, the census data are assigned to the actual residential areas within each census unit. Using this information a number of questions can be addressed which cannot be answered by statistical data alone.

• Information Systems Review
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• v.8 no.2
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• pp.139-154
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• 2006

Recommender systems help users find their interesting items more easily or provide users with meaningful items based on their preferences. Collaborative filtering(CF) recommender systems, the most successful recommender system, use opinions of users to recommend for an active user who needs recommendation. That is, ratings which users have voted on items to indicate preference on them are the source for making recommendation. Although CF systems are designed only to use users' preferences as the source of recommendation, use of some available information is believed to increase both the performance and the accuracy of CF systems. In this paper, we propose a CF recommender system which utilizes both degree of match and demographic information(e.g., occupation, gender, age) to increase the performance and the accuracy. Since more and more information is accumulated in CF systems, it is important to reduce the data volume while maintaining the same or the higher level of accuracy. We used both degree of match and demographic information as criteria for reducing the data volume, thereby naturally enhancing the performance. It is shown that using degree of match improves the prediction accuracy too in CF systems and also that using some demographic information also results in better accuracy.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.8 s.145
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• pp.1125-1135
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• 2005

The purpose of this study were to clarify differences in information processing type in relation to the consumer knowledge and involvement of apparel and to clarify differences in demographic characteristics in relation to the information processing type of consumer. The subjects of this study were female adults who lived in Seoul, Kyunggi or Incheon areas and Quota sampling using age and residential areas was employed. Major statistical methods were Chi square test and discriminant analysis. The results were as follows: 1. Consumer knowledge was found to be significantly related to the classification of information processing type. Low knowledge group tended to process infarmation rationally but high knowledge group utilized both rational and experiential process. 2. Consumer involvement was found to be significantly related to the classification of information processing type. Low involvement group tended to process information passively. High involvement group utilized both rational and experiential process 3. Information processing type was related to consumer's demographic characteristics such as age, education level, marriage, and purchase expense of apparel

• Journal of Korean Home Economics Education Association
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• v.12 no.1
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• pp.75-87
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• 2000

The purpose of this study is to find out how middle and high school girls show their clothing attitudes and their life-style. clothing behavior. use their ornaments according to demographic variables. The subject of this study consists o 345 middle and high school girls living in Chung-Nam Province and Taejon Metropolitan City. SPSS/PC+ program was utilized to calculate frequency(N) mean value(M) and standard deviation (SD) for statistical analysis. Differences among the populations are examined through t-test. F-test and X2-test. The results of this study are as follow : 1. Correlation between the life style and demographic variables. Especially. life-style has significant difference(p<. 05) according to type of school. middle school girls have high tendency in the type of modern and fashion. Life-style has significant difference(p< .01) according to level of achievement studying, high level girls has high tendency in the type of practical and secure. 2. Correlation between the clothing behavior and demographic variables. According to type of school. middle school girls showed higher than high school girls in clothing conformity and clothing aesthetics. According to level of achievement studying, high level girls have high tendency in clothing conformity and clothing modesty. 3. Correlation between the use their ornaments and demographic variables. Buying the ornaments, higher-level achievement studying girl’s get information in show window. but lower-level achievement studying girl’s get information in TV or radio. The use of ornaments according to the site of school, most of school girls who live in small city or town use the ornaments as usual school life but school girls who live in big city use the ornaments to look good on their clothes. Following suggestions can be made based on the discussions above: It is necessary for us to have correct understanding about the correlation between the ornaments and clothing of school girls in order to lead them to have appropriate clothing behavior. Furthermore. it is required to construct a bridge linking a course of study to rational habits guidance which will provide us more appropriate tools for clothing behavior guidance.

• Korean journal of food and cookery science
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• v.32 no.4
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• pp.503-516
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• 2016

Purpose: The purpose of this study was to examine the current state of usage and education participation intention for Yaksun food according to demographic characteristics. Methods: The questionnaire for the survey was distributed to 300 students, who were enrolled in culinary education program at Seoul Institute of Technology and Education from September 5, 2014 to September 20, 2014, and 264 responses were used for analysis. Results: Awareness regarding Yaksun food was low, but the intention to participate in the Yaksun food class was high. The information searching route for Yaksun food was mainly television, radio or internet. Memil-jeonbyeong ssam was the most eaten menu item and Nokdu-Samgye tang was the most popular menu item. Among the different types of Yaksun food, vegetable dishes, steamed dishes, rice dishes and roasted dishes were preferred in this order. The most preferred educational institution for Yaksun food was the cultural center, and the most preferred educational period for Yaksun food was less than three months. The most important point in the Yaksun food class was practical application in real life. Also, the current state of usage for Yaksun food and the intent to participate in an education program for Yaksun food was statistically different according to demographic characteristics. With respect to the current state of usage for Yaksun food, the information searching route for Yaksun food was statistically different according to occupation, cooking career and lives and Yaksun cuisine type preference according to gender, occupation, income and households. Also, with respect to education program participation intention for Yaksun food, educational institution preference for Yaksun food was statistically different according to gender, age, occupation, cooking career, income and lives. Conclusion: Based on these results, this research concludes that for developing an educational program for Yaksun food, it is important to analyze the target customers' demographic characteristics and their needs. Furthermore, it shows that there is a need to develop various educational programs and menus for Yaksun food.

• Management & Information Systems Review
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• v.33 no.2
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• pp.13-35
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• 2014

The purpose of this study is to investigate the impact on job satisfaction of the chinese bank staff by judging their motivators and hygiene factors. To explore the regulation of demographic characteristics between motivators, hygiene factors and job satisfaction. In the banking organization through the use of various elements of motivation duties assigned to meet organizational objectives put forward in order to achieve an effective incentive scheme given. In summary the results of analysis, the impact on motivator and job satisfaction in the work itself the result of regression analysis, promotion and recognition of the growth and job satisfaction in order to affect a positive sense of accomplishment and responsibility on the other hand, the task appeared was found not to affect satisfaction. The motivators of the bankers its positive influence on job satisfaction than hygiene factors were relatively high. And moderating effect of demographic characteristics and to validate the results, demographic characteristics and health factors are motivation and job satisfaction in the relationship between the presence of the control effect was analyzed. The relationship between motivation and job satisfaction is the demographic characteristics were analyzed to control that acts as a tour director, Hygiene factors influence job satisfaction is based on demographic characteristics was analyzed the age and education have been shown to exist, while Sex, tours, position the relationship between job satisfaction and hygiene factors do not exist in the control effect was analyzed.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.1
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• pp.112-123
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• 2002

The purpose of this study was to establish the strategy for Internet fashion homepage advertising that attracts consumers attention and discloses clothing brand to consumers continually. In this paper, the following subjects were set up: (a) to classify the structure and evaluation factors of the fashion homepage advertising, (b) to analyze the effect of demographic variables and clothing involvement of consumer on fashion homepage advertising structures and evaluation factors. A random sample of 553 people in the age group 16-34s living in Seoul and Kyungki region during March 2000 was selected from Internet users. SPSS package was used for data analysis. Frequency, Percentage, Factor analysis, ANOVA, Duncan test and regression analysis were applied. The results of this research were as follows: First, in the process of classifying the dimension of the fashion homepage advertising, homepage advertising structure was composed of 5 factors: interactive, amusing factor, professional information, fashion information and useful information. And homepage advertising evaluating factors were interesting, information and irritation. Second, it was found that clothing involvement influenced fashion homepage advertising. High involvement group preferred the fashion information factor of the homepage advertising structure and low involvement group was useful information factor of the homepage advertising structure. Both high and low involvement groups preferred interesting factor of the homepage advertising evaluation. Third, demographic variables also influenced fashion homepage advertising Females manifested greater interests in informative factor of homepage advertising than males. Findings from this study provide an insight into fashion homepage advertising strategy related to consumers clothing behavior.

• The Korean Journal of Health Service Management
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• v.5 no.1
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• pp.1-13
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• 2011

The purpose of this paper was to evaluate performance of information system for one national university hospital in order to identify the factors influencing performance of information system. KPIs were collected for 181 users of information system (41 doctors, 104 nurses, and 11 medical supporting staffs, and 25 administrative staffs) from August 10 to 24, 2010. The results were as follows: Average performance score for input layer was 3.16; average performance score for process layer was 3.35; and average performance score for business layer was 3.57. Scores for input layer was lowest for nurses and scores for process and business layer were lowest for doctors. Results from the path analysis showed that system quality, demographic characteristics, and security significantly influenced management process but these factors except demographic characteristics influenced user satisfaction; and management process also significantly influenced user satisfaction.