• The Journal of Korean Society for School & Community Health Education
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• v.7
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• pp.87-99
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• 2006

Objectives: This study is to draw the design of the program which is improve school health promotion participation by applying the Social Ecological Model based on the literature review on the health promotion. Methods: Literature review was carried out based on 5 factors of social ecological model using computer search engines of Google, ProQuest, and Riss4U. Results; Social Ecological Model is consist of individual, interpersonal, institutional/organizational, community, and policy. Individual sphere is drawn from Health Belief Model, interpersonal sphere is Social Support Theory, institutional/ organizational sphere is institutional resources theory, community sphere is community model, and policy sphere is Social Marketing Theory. The literature review show that the important variables affecting health promotion exist in each sphere. Individual sphere has social economic status, age, sex, sensitivity and specificity of illness, self-efficacy. Interpersonal sphere has support and use of family, friend and neighbor. Institutional/Organizational sphere has environment service reliability and utility. Conclusions: Community sphere has distance, neighborhood safety, interrelationship among institutions. Policy sphere has cost, legislation advertisement, lobby and concern and leadership of Institution.

• International Journal of Reliability and Applications
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• v.1 no.1
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• pp.27-38
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• 2000

In a recent paper Iskandar ＆ Sandoh (1999) studied an opportunity-based age replacement policy for a system which has a warranty period (0,S]. When the system fails at age x $\leq$ S a minimal repair is performed. If an opportunity occurs to the system at age x, S $\leq$ x $\leq$ T, we take the opportunity with probability p to preventively replace the system, while we conduct a corrective .replacement when its fails in (S,T). Finally, if its age reaches T, we perform a preventive replacement, Under this policy the design variable is T. For the case when opportunities occur according to a homogeneous Poisson process, the long-run average cost of this policy was formulated and studied analytically by Iskandar & Sandoh (1999). The same problem is here analysed by using a graphical technique based on scaled TTT-transforms. This technique gives, among other things, excellent possibilities for different types of sensitivity analysis. We also extend the discussion to the situation when we have to estimate T based on times to failure.

• Fashion & Textile Research Journal
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• v.4 no.6
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• pp.517-523
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• 2002

This study examines whether there are differences in consumer's evaluation price zone on the clothing clue (the type of clothing, brand, time of fashion, place of origin, material. submaterial, place for sale) according to consumer purchasing behavior. Therefore the ultimate goal is to offer help in fixing price when establishing marketing of the clothing industry by grasping the actual price set by consumers under the IMP system. The female consumers of 20s and 30s were chosen as study subjects for their sensitivity to the purchase of clothing. The tests carried out in this research are: SPSSIPC+ is used for frequency Analysis. The Results of this study are showed as the following: It was analyzed that 4 types of consumer are the reasonable consumption oriented consumer, fashion oriented consumer, the no care of fashion consumer and high price oriented consumer Among the several kinds such as the type of clothing, brand, time of fashion, place of origin, material, submaterial, place for sale, only on the type of clothing, there are difference in the type of the consumers, on the time of buying clothes, in the behavior of buying clothes and also on the degree of fashion and the place of origin among such kinds.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.5
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• pp.628-638
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• 1998

This study, the second in two part series, focuses on effect of product involvement and consumer knowledge on consumers' perceptions of six dimensions of clothing price: price -quality schema, prestige sensitivity: sale proneness, price mavenism, value consciousness, and price consciousness. Additionally, correlation between product involvement and consumer knowledge was examined. Multi-item measures of six dimensions of price, product involvement, and consumer knowledge were included in the questionnaires. The subjects were 264 college students living in Seoul, Korea. The data were collected by self-administered questionnaires and analyzed by factor analysis, regression analysis, and correlation analysis using SPSS PC. In addition, two focus group interviews were conducted to obtain qualitative data for the result interpretation. Results of this study showed that the degree of consumers' product involvement significantly affects consumers' perceptions of each price dimension except price consciousness dimension. Consumers' knowledge about clothing has a significant effect on consumers' perceptions of all price dimensions. Dimensions of product involvement and consumer knowledge were partially correlated. Marketing implications based on these results were suggested.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.71-79
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• 2014

Recently the use of smart phone is getting popular not only for adult but also for adolescents. The purpose of this study is to examine how psychological independent variables affect purchase intention of Korean and Chinese adolescents. The psychological variables in the study include showoff, face sensitivity, and a sense of alienation. The findings showed that psychological variables were significant to explain purchase intention both in Korean and Chinese adolescents. Such results can provide a practical contribution of planning marketing strategy both in Korea and China markets.

• Journal of Construction Engineering and Project Management
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• v.1 no.3
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• pp.28-37
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• 2011

Domestic construction companies are suffering from financing difficulties in the wake of the economic slump in Korea and abroad. During this economic slump, real estate investment trusts (REITs), facilitators for improving financing and stimulating construction businesses, have increasingly expanded since their introduction in 2001. However, in terms of growth speed and marketing size, Korean REITs are falling behind those of other nations. The purpose of this study is to suggest a method for composing a portfolio using the Markowitz portfolio selection model to stimulate REITs. The main contents are as follows. First, a comparative analysis was conducted of increased REIT profit with the application of the Markowitz model and the average REIT profit rate from July 3, 2007, to July 21, 2008, during the investment analysis periods. The results showed that the total profit rate from the Markowitz model was about 10% higher than the average REIT profit rate. Second, the sensitivity was analyzed according to the portfolio's data-gathering and replacement cycle to measure the optimum cycle and yield. The six-mouth profit data collection period showed about 16% higher profits with the Markowitz model than with the REITs. The two-week portfolio change period resulted in about 11% higher profits with the Markowitz model than with the REITs.

• Journal of Global Scholars of Marketing Science
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• v.13
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• pp.71-88
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• 2004

Although the factors that affect the width of latitude of price acceptance is well documented, the attempt to develop a practice-oriented methodology to calibrate the region of price insensitivity (i.e., a latitude of price acceptance) for a given individual brand has been relatively rare. The researcher aims to try to full this gap by developing a conjoint analysis-based procedure that can be applied to many industries. Furthermore, we examine the difference in the latitude of price acceptance between on- and off-line transaction in stock industry in Korea. The conjoint analysis-based procedure was applied to measure the disaggregate price response curve for individual stock investment both on- and off line transaction channel. The curves from the samples enable us to estimate the individual choice probabilities corresponding to applied price points. Using t-test the differences in mean choice probabilities between the list price and another price point were tested, through which we can get the latitude of price acceptance for a given brand in stock market. These procedures were tested in on- and off-line stock market in South Korea. The results showed that investors on off-line channel have wider latitudes of price acceptance than the investors on on-line transaction system.

• Science of Emotion and Sensibility
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• v.10 no.3
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• pp.491-502
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• 2007

Categorization is very important for product design. Consumer's emotion become different according to a type of categorization, so design concept and design elements must be combined differently with difference of the emotion. Specially, categorization process is necessary if nowadays product line is enlarged, and a product differentiation is not clear. That is, designers decide on correct categories and a design concept based on similarity of emotion and have to provide to consumer-oriented design. The purpose of this study is to provide a design direction for Korean traditional sauce products after extracting consumers' sensitivity from the whole image of Korean traditional sauce and each images of the sauces-korean hot pepper paste, soybean paste, fermented soybeans paste, SsamJang, and soy sauce- and deciding categories of the each sauces based on the extracted sensitivities' similarity. In the result of this study, we knew that Korean traditional sauces didn't differentiate from consumers' preference images. In our empirical research, the research - emotional image survey on sauces - have conclusion that emotional image of "well-being", "tasty" have positive influence, but emotional image of "messy and dirty", "smelly" have negative influence. Therefore, we suggest that positive emotional images like "tasty" should be emphasized, but negative emotional images like "messy" should be eliminated for design and marketing strategy of Korean traditional sauces. This research will suggest the guideline for product design with respect to academic aspects and working-level aspects.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.5
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• pp.175-185
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• 2019

Despite the rapid growth and importance of social enterprises in recent years, most social enterprises have many limitations such as small business size, financial dependence on government, lack of professional management personnel and knowledge, and low consumer awareness. Therefore, empirical research in the field of marketing is needed for economic independence of social enterprises. This study is based on the following: First, the identity of the social enterprise and the self-image of the consumer, second, the functional correspondence between the consumer's expectation and actual performance of the social enterprise's product, and third, the social value of the social enterprise product, the purpose of this study was to examine the effects of consumer value consistency on customer satisfaction and loyalty to social enterprises. Finally, this study aimed to suggest the moderating role of social enterprise clubs in this process to give implications for the long-term marketing of social enterprises. The results of this study are as follows. First, self-image consistency, functional correspondence, and value correspondence all have positive effects on the satisfaction of social enterprise and its products and form a loyalty. Secondly, whether or not the social enterprise club belonged to them is a moderating variable that raises sensitivity in the effects of self image consistency and functional consistency on customer satisfaction and customer satisfaction on loyalty. It was found to be.

• Information Systems Review
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• v.21 no.1
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• pp.23-38
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• 2019

The social network service (SNS) is one of the important marketing channels, so many companies actively exploit SNSs by posting SNS messages with appropriate content and style for their customers. In this paper, we focused on the psychological distances embedded in the SNS messages and developed a method to measure the psychological distance in SNS message by mixing a traditional content analysis, natural language processing (NLP), and machine learning. Through a traditional content analysis by human coding, the psychological distance was extracted from the SNS message, and these coding results were used for input data for NLP and machine learning. With NLP, word embedding was executed and Bag of Word was created. The Support Vector Machine, one of machine learning techniques was performed to train and test the psychological distance in SNS message. As a result, sensitivity and precision of SVM prediction were significantly low because of the extreme skewness of dataset. We improved the performance of SVM by balancing the ratio of data by upsampling technique and using data coded with the same value in first content analysis. All performance index was more than 70%, which showed that psychological distance can be measured well.