• 한국의상디자인학회지
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• 제25권4호
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• pp.133-145
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• 2023

Competition is intensifying as the golfwear market grows and expands rapidly due to the influx of MZ generation golfers, so it is necessary to plan knit golfwear products suitable to consumer needs The purpose of this study is to contribute to product planning by analyzing knit design factors according to the brand image of golfwear. First, the top five sales brands surveyed by Apparel News were selected. The selected brands were G-Fore, PXG, Malbon Golf, Titleist, and Mark & Lona. Knit products sold by the selected golfwear brands were investigated based on design factors, such as image, item, stich, yarn, color, and pattern to analyze knit design factors according to brand image. G-Fore's modern classical image was influenced by pullovers, vest items, 100% wool, color contrast, intasha stich, and monotone colors. PXG's sporty modern image was due to a mixture of rayon and polyester in jumper items, while Malbon Golf's American casual image applied character patterns and intasha knitwear. Line points, plain knitwear, and monotone colors were analyzed as design factors for Titleist's modern minimal image, while Mark & Lona's classic casual was analyzed as knit design factors, such as check patterns and jacquard knitwear. Differences in knit design factors according to brand image can be identified.

• 한국생활과학회지
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• 제21권2호
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• pp.269-284
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• 2012

The main purpose of this study was to investigate factors affecting performance of casual wear franchise stores including franchiser support and social network between owners/managers. The study included the franchise stores of 55 casual wear brands located in Seoul, Incheon and Gyeonggi-do. In each store, one manager, owner or staff member with management responsibility was asked to fill out a questionnaire. A total of 184 questionnaires were collected with 165 used in the final analysis. The results showed that franchiser support consisted of educational support, marketing support and customer support. Path analysis indicated that only the educational support had a significant influence on the franchiser-franchise relationship, and in turn, the franchiser-franchise relationship positively influenced customer performance. Marketing support did not have a significant influence on the franchiser-franchise relationship, but did demonstrate a direct influence on customer performance. Social networks positively influenced customer performance, and there was significant a correlation between regions and social networks on customer performance. Sales performance was significantly influenced by customer performance.

• 한국의류학회지
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• 제25권4호
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• pp.817-827
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• 2001

This study tried to investigate whether characteristics of the perceiver and image of ideal woman made differences in the important factors for the selection clothing and the preference of clothing. A poll of 650 men & women between the ages of 20-39 living in Daegu was taken for this study. Factor analysis, cluster analysis, frequency, ANOVA-test, t-test, and $\chi$$^2$-test were implemented with the SPSS-package. The characteristics of clothing types used in this study included: sexy, masculine, feminine, dramatic, elegant-classic, and casual. The results were as follows. 1. In the situation of first impression formation, the characteristics of the perceiver made differences in the selection of clothing types. Women took self-satisfaction and fashion factors to be more important than men, so did persons in their 20s than 30s. And the unmarried took self-satisfaction factor to be more important than the married. 2. Men and women had different images of the ideal woman. Under special situations of first impression formation, such as, formal blind dates on the condition of marriage and casual blind dates, there were differences in clothing preference.

• 한국의류산업학회지
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• 제13권4호
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• pp.487-498
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• 2011

The purpose of this study was to classify the lifestyles of 20's and 30's male consumers, identify the differences among the lifestyle groups, and analyze clothing values and buying behaviors according to the lifestyle types. The results of the study were as follows. First, as a result of cluster analysis to classify the lifestyles of 20's and 30's male consumers, 4 groups were identified as "adventurous and self-accomplishing type", "positive and socially active type", "active and trend seeking type", and "practical and information-oriented type". Second, 4 factors of Utilitarian Value were classified as "symbolism", "diversity of wearing purpose", "convenience of management", and "physical activeness". Third, 4 factors of Hedonic Value were extracted as "pursuit for confidence", "pursuit for sexual sensitivity", "pursuit for trend", and "pursuit for personality". Fourth, upon analyzing the differences of clothing values based on lifestyles, 4 groups considered the most important value as the pursuit of sexual sensibility. Fifth, the male consumers in 20's and 30's purchased to express individuality and made their own decision on buying the casual wear. Based on these results, adventurous and self-actualizing type and active and trend seeking type were 518 of 684 and represented male consumer in 20's and 30's.

• 대한가정학회지
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• 제48권1호
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• pp.27-40
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• 2010

The objectives of this study were to investigate differences in shopping style and consumption value of apparel product type, and to establish the effects of consumption value on shopping style. A questionnaire was used to collect data from 263 women aged between 20 to 49 in Gwangju on their shopping style and consumption value according to formal and casual product type. Collected data were subjected to frequency analysis, factor analysis, ANOVA, t-test and multiple regression analysis using statistical program SPSS(version 17.0). Results showed that shopping style could be influenced by six factors: fashion-recreational, quality-brand, impulsive, confused, brand-loyal, and price conscious consumer. Clothing consumption value was influenced by five factors: emotional, functional, epistemic, social, and situational value. Shopping style and clothing consumption value were significantly different between a formal product purchaser and a casual product purchaser. Consumption value had a significant influence on shopping style of the formal product purchaser and also the casual product purchaser.

• 대한가정학회지
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• 제44권12호
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• pp.105-115
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• 2006

The purpose of this study is to apply conjoint analysis to fashion product development. Conjoint measurement was undertaken on the traditional casual market, composed of Polo, Beanpole, Maru and Giordano brands. Product's attributes, such as brand name, price, country of origin and style, were selected as choice factors. Twelve profiles were used for full-profile stimulus cards method. Based on the importance and utility rates of the product attributes, preferences for the products currently in the market and simulated products were calculated. The results increased our understanding of the trends in traditional casual market and assisted in the preparation of marketing strategies for each brand.

• 무역상무연구
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• 제26권
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• pp.285-313
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• 2005

본 연구는 2005년 아시아 게임시장에서 가장 큰 3대 시장 중의 하나로 성장 할 것으로 예상되는 일본 온라인게임시장을 대상으로 일본 게이머들을 하드코어게이머(Hardcore Gamer)와 캐주얼게이머(Casual Gamer)로 분류하고 두 게이머 집단간 인구통계학적 차이(성별, 연령대), 게임 이용 장소, 시간, 비용의 차이 그리고 게임관련 요인에 관한 차이(특성요인, 디자인요인, 인식요인)를 통계적 방법을 이용하여 실증적으로 분석한 연구이다. 각 연구 내용별 실증적 분석을 위해 사용된 통계적 기법은 인구통계학적 차이, 게임 이용 장소, 시간, 비용의 차이는 $M{\times}n$ 분할표의 ${\chi}2$ 검정을 이용하였고, 게임관련 요인에 관한 차이는 독립표본 t-검정을 이용하였다. 본 연구의 결과가 일본 온라인게임시장에 진출하려는 국내 게임업체들에게 일본 게이머들의 성향에 부합하는 커스터마이징된 게임을 개발할 수 있도록 많은 시사점을 제공해 줄 수 있을 것이라 본다.

• 한국의류산업학회지
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• 제18권2호
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• pp.167-175
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• 2016

Brand personality is the human-like traits of brands that consumers can use to identify brands. Despite the importance of brand personality, there has been limited research about it in Korea recently, especially for casual apparel brands. Considering the changes in lifestyle and the increasing popularity of leasure activities in Korea, it is important to analyze the brand personality of casual brands for understanding Korean consumers. This study aimed to analyze the brand personalities of eight well-known casual brands in Korea, and to investigate the relationship between the brand personalities and brand preference. Specifically, this study questioned whether the similarity in brand personalities leads to similar patterns of preference for the brands. The eight brands were carefully selected so that they can well represent the diversity in the dimensions of perceived brand personality, while also being well-known to the participants of the survey. Factor analysis of the data from the survey of Korean university students yielded five factors of brand personality: liveliness, high class, ordinariness, rationality, and reliability. The eight brands showed significant difference across the five factors. Multidimensional scaling analyses of the brands were conducted based on the similarity in brand personality and brand preference respectively. The result showed significant difference in the relative distribution of the eight brands in the two-dimensional space of the analyses.

• 복식
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• 제59권5호
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• pp.152-166
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• 2009

The purpose of this study was to propose a brand image profile by analyzing how the consumer perceived the rival brands having relative structure between corporate image, store image, and. product image. Fifty-two questions were prepared for the respondents, and 262 questionnaires were selected for analyzing. The data were analyzed by a frequency, a mean, a reliability, and a paired t-test of the SPSS 12.0. The results were as follows : 1. As influence rank of the brand image, a product image had greatest influence followed by a store image and a corporate image. 2. The factors, which were regarded as important from consumer, and satisfaction of those factors were evaluated. As a result of the analysis, the degree of satisfaction of the factors was relatively low than that of the importance. It was proved that the important factors of the brand's image and the degree of satisfaction of the factors were not the same from this study.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2010년도 춘계학술대회
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• pp.402-408
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• 2010

Forecasting have qualitative and quantitative methods. Quantitative one analyze macro-economic factors such as the rate of exchange, oil price, interest rate and also predict the micro-economic factors such as sales and demands. Applying various statistical methods depends on the type of data. when data has seasonality and trend, Time Series analysis is proper but when it has casual relation, Regression analysis is good for this. Time Series and Regression can be used together. This study investigate artificial neural networks which is predictive technique for casual relation and try to compare the accuracy of forecasting between regression analysis and artificial neural network.