• Journal of the Korea Fashion and Costume Design Association
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• v.11 no.3
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• pp.87-99
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• 2009

The purpose of this study was to find out criteria for classifying fashion brand from the consumer point of view. This was compared with the viewpoint of fashion business practice in order to develop strategy of fashion brands and to manage brand effectively and systematically, and to suggest theoretical frame for application of these criteria. This study was researched as the succeeding study of a model of criteria for classifying fashion brands from the viewpoint of fashion business practice. Survey was used as a research method. The subjects were 422 women who were 20-30 years old and living in and near Seoul. Questionnaires were developed based on 37 fashion brands' classification criteria by means of pre-survey, and SPSS package and LISREL program were used to analyze the data. As a result of factor analysis considering 37 classification criteria, 8 factors were identified as classification criteria. They were as follows; the level of brand form, the level of product concept, the level of management item, the level of brand sales ability, the level of customer management, the level of brand advertising and awareness, the level of brand value, and the level of product lead ability. All of criteria were correlated to each other. The effective method to classify fashion brands was proposed by establishing the model of the relationship of the values of 7 criteria and by proving it with the structure equation model analysis. The model of criteria for classifying fashion brands that was suggested on this study was proved by the structure equation model analysis. In this study, from a consumer's point of view we suggested a theoretical framework describing which criteria would be selected to classify and utilize fashion brand market. This model can be used to select the most efficient classification criteria and classify them hierarchically instead of selecting only one among some factors that complex and interactional and classifying.

• Journal of Families and Better Life
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• v.10 no.1 s.19
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• pp.27-42
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• 1992

This study focused on consumer information search activity and consumer's post-purchase satisfaction. For these purpose, a survey was conducted suing questionaires on 430 homemakers that lived in seoul. Statistics used for data were Frequency Distribution. Percentile, Mean, One-way AAANOVA., Scheffe-test, T-test, Pearson's correlation. Multiple Regression Analysis and Multiple Classification Analysis. The major findings were ; 1) The level of each amount information search was lower than average. And the level of consumer's post-purchase satisfaction was a little higher than average. 2) On amount of "noncommercial-personal" information search, the influencing variables were desire to seek information, education, brand royalty in turn. These three variables explained 7% of dependent variable's variance. 3) On amount of "noncommercial-media" information search, the influencing variables were desire to seek information, amount of internal information, education, occupational status in turn. These variables explained 14% of dependent variable's variance. 4) On amount of "commercial-personal" information search, the influencing variable was desire to seek information, and this variable explained 3.1% of dependent variable'a variance. 5) On amount of "commercial-media" information search, the influencing variables were desire to seek information, education, amount of internal information in turn. These three variables explained 12.1% dependent variable's variance. 6) Resulting from multiple classification analysis, influencing variables on consumer's post-purchase satisfaction were amount of noncommercial-media information search and printed media search, and brand royalty. These three variables explained 9% of dependent variable's variance. Furthermore, througout all the subareas of consumer's satisfaction, the amount of noncommercial-media information search was the most influencing variable.

• Journal of Distribution Research
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• v.12 no.2
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• pp.103-129
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• 2007

One of the most enduring concepts in the history of marketing thought relates to the classification of consumer goods. The product classification theory first proposed by Copeland(1923) has, with little modification, survived to the present day, and continues to be endorsed by the American Marketing Association and other related institutions some 80 years after it was first published. In truth, Copeland's classification is now outdated and bears little, if any, relevance to modern product advertising, retailing and consumption. In particular, it can not accommodate the fact that, in modern societies, consumer preoccupations with style, personal identity and status have meant that the social characteristics of goods, heavily promoted by brand managers who understand their markets, are key determinants of consumer choice and buyer behavior. In this respect, the author attempted to explore the reasons why product classification theory has been unresponsive to changes in market conditions over so many years and argue that its failure to embrace the many social influences on consumption and on consumer behavior is now its most serious weakness. And also, the author proposed the new categorization system of goods, based on the several existing literatures.

• Journal of Families and Better Life
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• v.6 no.1
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• pp.51-69
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• 1988

This study was mainly concerned with providing a basis of the development of low-income consumer education program. The purpose of this study was to investigate the level of their consumer skill and the degree of consumer problems' perception. For the purpose of this study, 480 questionnaire were distributed to the housewives in Seoul. The 320 data were analyzed by Frequency, Percentage, ANOVA, Duncan's Multiple Rang Test, Multiple Classification Analysis, and Pearson's Correlation . The major findings of this study were as follows; 1) The socio-demographic variables indicating significant relation to the level of consumer skill are income level, housewife's age , and housewife's education level. The independent influence of all the variables affecting consumer skill was analyzed. It result is in confirming the income as the most influential one. 20 The socio-demographic variables indicating significant relation to the degree of consumer problem's perception are income level, and housewife's education level. The independent influence of all the variables affecting consumer problem's perception was analyzed. It results in confirming the income as the most influential one. 3) Consumer skill level differs significantly at the 0.001 level, according toe the degree of consumer problems' perception. The higher level of consumer skill, the lower degree of consumer problems' perception. The result of this study implies that a consumer education should be given to the low-income consumers, on the basis of their consumer skill level. Further research regarding the consumer skill and problems ' perception of the low-income consumers should be conducted.

• Journal of the Korean Home Economics Association
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• v.31 no.1
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• pp.1.1-11
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• 1993

The purpose of this study is to develop the curriculum in the field of Consumer Science through the analysis of current curricula which are offered within Home Economics units in Korea and the U.S. A field of Consumer Science was proposed to be divided into two different area, the area related to household economy and the area related to consumer problems. The area related to household economy includes the subfield of household economics and the subfield of family financial management. The area related to consumer problems are the subfield of consumer decision-making, the subfield of consumer education, and the subfield of consumer protection policy. And the new curriculum based on this classification was developed and discussed with respect to the purpose and content of lectures.

• The Korean Journal of Community Living Science
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• v.27 no.1
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• pp.31-47
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• 2016

This research examines the effects of consumers' moderation and simplicity, autonomy, and income level on happiness, and based on this, classifies consumer types and examines the differences in consumer happiness and life happiness in accordance with this classification. The questionnaire survey was conducted on adults in their 20's through 60's. Moreover, hierarchical regression analysis, cluster analysis, and the analysis of variance were conducted. The results of this research are as follows. First, on consumer happiness, moderation and simplicity, income level, autonomy, education level, and gender had significant effects; on life happiness, moderation and simplicity, income level, autonomy, and education level had significant effects. Second, consumers were classified into three types according to moderation and simplicity, autonomy, and income level, and when making a comparison based on these factors between consumer happiness and life happiness, both consumer happiness and life happiness showed significant differences, but the detailed aspects were different. In the case of consumer happiness, non-autonomous moderation and simplicity type were reported to have the highest sense of happiness, followed by autonomous moderation and simplicity type, and passive moderation and simplicity type, but in the case of life happiness, autonomous moderation and simplicity type were reported to have the highest sense of happiness, followed by non-autonomous moderation and simplicity type, and passive moderation and simplicity type.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1499-1508
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• 2018

Although fast-growing e-commerce markets gave a lot of companies opportunities to expand their customer bases, it is also the case that there are growing number of cases in which the so-called 'black consumers' cause much damage on many companies. In this study, we will implement and optimize a machine learning model that detects black consumers using customer data from e-commerce store. Using filter method for feature selection and 4 different algorithms for classification, we could get the best-performing machine learning model that detects black consumer with F-measure 0.667 and could also yield improvements in performance which are 11.44% in F-measure, 10.51% in AURC, and 22.87% in TPR.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.6
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• pp.1125-1137
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• 1996

The author reviewed seventy papers on social psychology of clothing and fashion marketing fields, which were published in the Journal of the Korean Society of Clothing and Textiles between 1983 and 1996. The market variables and consumer behavior variables were focused on. This review showed that the market variables had been divided into three groups of variables: 1) product variables (product image and product classification): 2) brand variables (brand image and brand positioning): and 3) store variables (store image, store type, and distribution system) Consumer behavior variables have been studied on the basis of EBM Consumer Behavior Model: 1) purchasing motivation as need recognition: 2) information using as search information: 3) evaluation criteria and choice criteria as alternative evaluatioin : 4) clothing purchase, brand choice and store choice as purchase: 5) degree of wear, satisfaction and dissatisfaction as outcome: and 6) clothing discard. Variables that influence on consumer behavior, including situation variables, clothing attitude variables, personal . social variables were added to develop a variable model of clothing consumer behavior using the EBM Consumer Behavior Model.

• Journal of the Korean Home Economics Association
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• v.40 no.4
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• pp.105-124
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• 2002

The purpose of this study was to analyze searching value types of Internet consumer information and to identify difference of information characteristics by searching value types. The online survey was conducted by 262 netizens. We used SPSS10.0 package and statistical analysis as follows : factor analysis, cluster analysis, one-way ANOVA, and Duncan's multiple range test. The results were summarized as follows: 1) searching value types of Internet consumer information were classified into 3 types - high benefit/high risk type, middle benefit/middle risk type, high benefit/low risk type. 2)In the degree of significance for information characteristics, consumer recognized accuracy as the most important then comes variability, utility, up-to-dateness, and reliability in that order. 3) high benefit/high risk type among searching value types was evaluated the most affirmative types for Internet consumer information.

• Journal of Broadcast Engineering
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• v.10 no.2
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• pp.156-165
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• 2005

This paper presents a new auto brighoess control algorithm fur adaptive background subtraction. The algorithm is designed to cope with the problem of auto-brightness adjustment feature of consumer-type cameras. The experimental results show the proposed method improves performance of the classification. This will be beneficial to many computer vision applications in term of reducing the cost of implementation and making them more available to the mass consumer market.