• Journal of Fashion Business
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• v.7 no.1
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• pp.101-115
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• 2003

The object of this study looks into the awareness and satisfaction about Korean fashion product of Chinese adult women inhabited in China, by comparing with foreign fashion product. The questionnaire used as a method of measurement, and the sample was 848 Chinese women from 20 to 50 age, living in China. The analysis of all data was handled by SAS(Statistical Analysis System) program, Frequency Analysis, ANOVA, Duncan's Multiple Range Test was also executed. The results from the study were as follows: 1. The preference about Korean fashion product of Chinese women is higher than American, English and Japanese fashion product, but is lower than Italy, French and Chinese fashion product in each age. 2. About the quality, design, service's satisfaction and brand reputation of Chinese adult women, Italy product is first ranked and Korean, Chinese is followed. 3. About the possession item on Korean fashion product of Chinese adult women, younger and younger chinese women on age, Ta-Ryun resident in area, a company employee on occupation hold the most. 4. About the recognition on Korean fashion product of Chinese adult women, younger and younger preferred the popularity and special design of Korean fashion product, the women inhabited in Ta-Ryun and Buk-Kyung recognized the Korean product as economical. 5. About the satisfaction on Korean fashion product of Chinese adult women, there is no significant difference on age, residential district and occupation.

• Journal of Korean Institute of Industrial Engineers
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• v.20 no.4
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• pp.99-111
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• 1994

Toguchi method is a systematic technique for designing high quality product at low cost. There are three steps in the Toguchi method, 1)system design, 2)parameter design, and 3)tolerance design. This paper considers the tolerance design for multiple performance characteristics which is practically important. We present two tolerance design procedures : grade selection and tolerance determining procedures. In grade selection procedure a scheme is presented that minimizes the sum of the price of low-level characteristics and the expected loss due to the variations of high-level characteristics. In tolerance determining procedure we determine the tolerances of the low-level characteristics.

• Proceedings of the Korean Statistical Society Conference
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• 2004.11a
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• pp.229-236
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• 2004

This article presents a multiple comparison ranking procedure for several products of the Poisson rates. A preference probability matrix that warrants the optimal comparison ranking is introduced. Using a Bayesian Monte Carlo method, we develop simulation-based procedure to estimate the matrix and obtain the optimal ranking via a row-sum scores method. Necessary theory and two illustrative examples are provided.

• Proceedings of the KSR Conference
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• 2000.11a
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• pp.17-23
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• 2000

The purpose of this paper is to evaluate the relative efficiency of Korean National Railroad (KNR). Railways can be seen as multi-product firms which produced both passenger and freight transportation services. For evaluating the operational efficiencies of 23 UIC (International Union of Railways) members including KNR we use data envelopment analysis (DEA) in which multiple inputs and multiple outputs can be handled explicitly.

• Communications for Statistical Applications and Methods
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• v.3 no.2
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• pp.103-117
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• 1996

In the Taguchi Parameter design, the product-array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. An alternative approach, which is called the combined- array approach, was suggested by welch et. al. (1990) and studied by Vining and Myers(1990), Box and Jones (1992) and others. In these studies, only single response variable was considered. We propose how to simultaneously optimize multiple responses when there are correlations among responses, and when we use the combined-array approach to assign control and noise factors.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.3
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• pp.282-296
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• 2012

This study identified the types of motives for reading consumer reviews of apparel products for online stores and classified shoppers into the groups based on motives. Data were collected from eleven Korean women by a focus group interview and from 313 females by an online survey. Respondents were in their 20s' and 30s' with significant experience reading consumer reviews of apparel products for online stores. The seven motives found by interviews were reduced to four types of motives by factor analysis: Right product choice and judgment of product value, risk reduction, saving time and money, and fun/killing time. The motive for the right product choice and judgment of product value was the highest and the motive for fun/killing time was the lowest. Consumers were classified into four groups based on motives: Utilitarian shoppers (25.8%), shopping-task oriented shoppers (36.8%), multiple-motive shoppers (19.7%), and moderate-motive shoppers (17.7%). There were significant differences among age groups and the amount of reading reviews posted on a product and the duration of reading reviews for online stores. In addition, managerial implications were developed.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.9_10 s.157
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• pp.1389-1399
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• 2006

The purpose of this study was to measure customer equity, to identify customer equity dimensions reflecting characteristics of fashion products, and to understand dimensions that influence customer equity of fashion product. As for this research, an exit poll was conducted at 6 department stores located in Seoul and total 406 responses were used for the analysis. For the data analysis, descriptive statistics(i. e. frequency, percent, $X^{2}$), factor analysis, multiple-regression were used by utilizing SPSS 10.0 program. The results of this study were as follows: First, 35.5% of fashion product customer equity distributes between 1 million and 3 million won, 32.8% between 100,000 won and 1 million won in present. Second, as a result of factor analysis, dimensions of fashion product customer equity consists of 6 factors, including 'personalized relationship', 'discriminative brand image', 'cognitive value', 'beneficial value', 'constant brand image', and 'credible relationship' Third, the effect of fashion product factors on consumer equity, the higher 'personalized relationship', 'unique brand image', and 'trust relationship' are, the higher customer equity is. In conclusion, this study has significance in that it helps measure customer equity by predicting consumer's future purchase behavior in money and to understand influencing factors for fashion product customer equity.

• Journal of Fashion Business
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• v.16 no.1
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• pp.137-149
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• 2012

The purpose of this study was to identify the factor structure of sociocultural attitude toward Appearance, pursuit of clothing benefits, ambivalent consumption of fashion product and the effects of sociocultural attitude toward appearance and pursuit of clothing benefits on ambivalent consumption of fashion product. Questionnaires were administered to 425 women living in Deagu Metropolitan City and Kyungbook province. The data collected were analyzed by using frequency, factor analysis, multiple regression, ANOVA, and Duncan-test. The findings are as follows. Sociocultural attitude toward appearance was composed of two factors such as internalization, and awareness. Pursuit of clothing benefits was composed of four factors such as individuality oriented, social oriented, fashion leadership oriented, and body oriented. Ambivalent consumption of fashion product was composed of three factors such as style/price ambivalence, place of purchase ambivalence, and brand ambivalence. The effects of sociocultural attitude toward Appearance and pursuit of clothing benefits on each of ambivalent consumption of fashion product variables like style/price ambivalence, place of purchase ambivalence, and brand ambivalence were explained by the factors such as internalization, and awareness, and individuality oriented, social oriented, fashion leadership oriented, and body oriented.

• Journal of the Korean Home Economics Association
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• v.46 no.8
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• pp.121-133
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• 2008

The purpose of this study was to decipher the BRQ (Brand Relationship Quality) Construct of fashion product consumers and to identify influencing variables. Consumption values of consumers, fashion product attributes and marketing communication instruments were investigated as affecting variables. A questionnaire was distributed to 350 women between the age of 20 and 50 living in Seoul and other metropolitan areas from Mar. 5 to Mar. 18, 2008. Collected data were analyzed by factor analysis, reliability, multiple regression, frequency and percentage using SPSS (Version 15,0) statistical Package. The results were as follows: Firstly, the BRQ Construct of fashion product consumers was proved to be composed of five factors; 'self-connective love', 'pursuing symbol', 'trust', 'intimacy', and 'knowledge'. Secondly, consumption values had a significant effect on the BRQ Construct and their explanatory power was 32%, 'Epistemic value' was the most significant variable affecting BRQ. 'Functional value' had a significant influence on some BRQ factors. Thirdly, explanatory power of fashion product attributes affecting BRQ was 45%. 'Aesthetic attribute' had significant effect on all BRQ factors, while 'functional attribute' showed significant effect on only 'pursuing symbol', 'trust', and 'intimacy'. Finally, marketing communication mixes showed 21% explanatory power and 'word of mouth' and 'display' among marketing communication mixes were found as the most influential variables affecting the BRQ Construct.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.109-120
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• 2021

Despite the growing online exposure of retailes, offline retail channels still outperform online channels in the total retail volume of some countries. There is much interest in the physical layout plans of retail stores to expand sales. Product placement that have a large impact on customer purchasing behavior at offline retailers influences customer movement and sales volume. But in many cases, each retailer relies on unsystematic and autonomous product placement. When multiple products are sold with one purchase, the customer's movement for shopping may be evaluated in terms of customer efficiency and additional impulse purchase. In this paper, the social network is applied to sales data of a retail store and the result is used for evaluation of product placement and customer path. The frequent sales product composition was identified using k-core from sales data in the form of shopping baskets. The location was checked for the identified compositions of products, the spatial variance was measured and the customer's path was identified. With these results, the store arrangement of products was evaluated with appropriate improvement directions. The analysis method of this paper can be an alternative analysis approach for better layout of retail stores.