• Journal of the Korean Home Economics Association
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• v.39 no.12
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• pp.253-269
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• 2001

The goal of this study is to examine the level of disposition conformity in everyday life and behavior conformity in clothes brand choice, and analyze the effects of disposition conformity and influential variables on behavior conformity in brand choice. For this analysis, the data were collected from 478 middle school and high school students in Seoul through surveys. Frequency, percentage, mean, standard deviation, Pearson's correlation coefficient, ANOVA, t-test, Duncan's multiple range test and multiple regression have been used to analyze the research objectives. Main findings are following; First, the 62.8% of the students showed high level of disposition conformity, and the 60.7% of them showed relatively low level of behavior conformity in brand choice. The adolescent consumers'disposition conformity to the reference groups in everyday life is in the order of parents, peer group, and mass media star. Second, the group differences in disposition conformity are diversified by independent variables. Among socio-demographic variables, disposition conformity to peer group differ by grade and disposition conformity to parents differ by the parents'education. Sex causes differences between groups in all disposition conformity except parents. In economic variables, the perceived level of living raises differences between groups in disposition conformity to the parent and whole disposition conformity. As the degree of disposable money gets higher in buying clothes, adolescent consumers conform more to the mass media star. Disposition conformity to parents and peer group were also differed by self-esteem. Third, significant variables, which affect the adolescent consumers'behavior conformity in brand choice, are grade, their mother's education, degree of disposable money in buying clothes, and disposition conformity to peer group and mass media star.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.2
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• pp.235-246
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• 2008

The aims of this study were to identify benefits sought for herbal cosmetics and its significance in influencing consumers' attitude and brand choice. A questionnaire was distributed to 900 women between 20 and 50 years old who had purchased herbal cosmetics from Nov. 6, 2006 to Dec. 15, 2006. SPSS 12.0 package was used for data analysis. Factor analysis, $X^2$-test, frequency, percentage, multiple regression analysis were utilized. The results were as follows: 1. The benefits that consumer was seeking from herbal cosmetics could be classified into 9 dimensions; special function, brand, nutritional reinforcement, economy, scarcity, feeling, fragrance, fashion and skin fitness. 2. All of the above benefits sought except economy and fashion had positive impact on consumers' attitude of herbal cosmetics. 3. There was a correlation between types of benefits sought by consumers and their brand selection.

• Journal of Industrial Convergence
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• v.2 no.2
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• pp.69-84
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• 2004

The purpose of this study is to investigate factors affecting the brand switch and repurchase of consumers. A model was created in this study. The model has the following three features. First, a brand was divided pioneer and follower brand. Customers' recognition for the difference between the pioneer and follower brand was examined. The new definition of the brands was set up: "The pioneer brand-The first setting up brand in the customers' recognition and the follower brand-all brands besides the pioneer one. Second, the two cases were assumed for the brand switching of customers: repurchasing of the pioneer brand, switching from pioneer to follower one. Lastly, a choice factor for brands of customers was composed of price, prototypicality. Based on the features, influencing factors depending on customers' choice for products generally was investigated.

• The Research Journal of the Costume Culture
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• v.10 no.5
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• pp.493-503
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• 2002

This study examined consumer characteristics and consumers' clothing purchase behavior for each of the four fashion brand types. The ultimate purpose of this study is to suggest the most effective marketing strategy for competitive advantage in fashion brand strategy. The subjects selected for the final analysis are 412 women of age 20 thru 34 in Seoul and areas. The data were analyzed using frequency, percentage, factor analysis, chi-square test, ANOVA, duncan test. The results of our study indicate that it is possible to meaningfully describe and contrast four brand types based on consumer's characteristics and purchase behavior. 1. The clothing brand is classified into four types : Designer brand 10.9%, National brand 27.2%, Middle-price brand 36.2%, Low-price brand 25.7%. 2. There are significant diferences according to four brand types in the demographic traits such as age education and income the average monthly spending on clothing. 3. There are an important discrimination according to tow brand types in their clothing purchase behavior such as information usage, clothing choice criterion and brand choice motivation. 4. Based on the result of this analysis and the review of literature, the brand strategy is suggested that characteristic and products development is efficient way to each brand consumers' purchase need. Therefore each brand which pursue an added value must frame marketing strategy on the basis of the target consumers' sensitivity characteristic according to the fashion consciousness.

• Management Science and Financial Engineering
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• v.13 no.1
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• pp.73-91
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• 2007

We investigate factors that influence the choice of high-share brands(HSBs) vs. low-share brands(LSBs) among various product and consumer characteristics related to brand-share perceptions. Specifically, using 8 product categories varying in terms of purchase decision involvement, we show how the influencing factors vary across the categories. At the general level that cover all the 8 categories, our hierarchical Bayesian regressions analysis shows that factors that favor high-share brands are purchase decision involvement, search goods, experience goods, price-quality relationship, positive network externalities, and price-prestige beliefs. Conversely, consumers who value variety seeking and need for uniqueness favor low-share brands. The effects of these factors, however, vary across product categories. The identification of these characteristics can help brand managers establish a more effective brand-share strategy in such areas as setting an optimal market share goal, extending a brand, and developing ad copy. Furthermore, our consumer segmentation analysis demonstrates the general market has two distinct segments - (1) a segment composed of HSB buyers(86%) and (2) a segment composed of LSB buyers(14%). The two segments are also shown to have different significant factors that explain their brand choice. Our segmentation analysis can help marketers establish a marketing strategy that targets a specific segment of interest.

• 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 Industrial Convergence
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• v.1 no.2
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• pp.125-140
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• 2003

This study examined testing condition when consumers have a strong ordinal preference and in a absence of established ordinal for a given attribute, how adding common features to two brands in a given product category affects brand choice. Research findings presented in this study are generally consistent with the preference confirmation view of choice. The data provides support for the proposition that (1) the effect of common features is moderated by the relative importance of brand attributes(Hypothesis 1) and (2) in the presence of primary attribute adding common features increases the likelihood of choosing the brand with the best value on this attribute(Hypotheses 2).

• Asia Marketing Journal
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• v.20 no.4
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• pp.65-94
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• 2019

The purpose of this study was to analyze the brand loyalty formation by positive labeling. Affecting such factors as involvement, self-image, community engagement, preference, and choice cutback, positive labeling can be seen as one of psychological factors that shapes consumer's behavior and their decision. This study was carried out because little research was done to examine the influence of positive labeling toward brand loyalty, and also to find out the benefits that consumers can get from being labeled in positive terms. Data were collected through survey questionnaire and 151 usable responses were used. Following a series of pretests and confirmatory factor analysis helped to purify measures and verify the psychometric properties of the scale. Structural equation modeling with AMOS was used for testing of research hypotheses. The result of data analysis demonstrated the positive relationship between labeling and brand loyalty, i.e. positive labeling indirectly leads to consumers' loyalty toward a brand. Findings revealed significant relationship between involvement and emotional attachment, as well as the relationship between community engagement and choice cutback. The results gave support for the hypothesis of moderating effect of buzz on the relationship between involvement and emotional attachment, even though the hypothesis of moderating effect of distinction was rejected. Taking Apple's rivalry strategy as initial point, this study highlights the role of labeling in creating social identity. The study attempts to show the positive consequences of labeling strategy for firms that seeks ways of good competition without engaging into conflicts.

• The Journal of the Korea Contents Association
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• v.6 no.10
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• pp.53-61
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• 2006

Culture, consumers' value and attitude play an important role for global marketing strategy on cross-cultural perspectives. The aim of this research was to investigate how consumer ethnocentrism and cultural affinity affect psychic distance, country image and competitive brand choice. data were collected through personal interview. A total of 234 responses are put to final analysis. The results are as follows: First, cultural affinity play an important role for psychic distance and country image. Second, consumer ethnocentrism has directly affected country image and psychic distance. Finally, country image has affected competitive brand choice, but psychic distance doesn't have affected.

• Industrial Engineering and Management Systems
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• v.15 no.4
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• pp.324-334
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• 2016

Manufacturers and retailers are interested in how prices, promotions, discounts and other marketing variables can influence the sales and shares of the products that they produce or sell. Therefore, many models have been developed to predict the brand share. Since the customer choice models are usually used to predict the market share, here we use hybrid model of Probabilistic Neural Network and Artificial Bee colony Algorithm (PNN-ABC) that we have introduced to model consumer choice to predict brand share. The evaluation process is carried out using the same data set that we have used for modeling individual consumer choices in a retail coffee market. Then, to show good performance of this model we compare it with Artificial Neural Network with one hidden layer, Artificial Neural Network with two hidden layer, Artificial Neural Network trained with genetic algorithms (ANN-GA), and Probabilistic Neural Network. The evaluated results show that the offered model is outperforms better than other previous models, so it can be use as an effective tool for modeling consumer choice and predicting market share.