• Title/Summary/Keyword: clothing attribute

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Brand Image: Analysis of Domestic Jeans Market through Benefit Segmentation and Perceptual Mapping(II) (혜택세분화와 인식도에 의한 진의류 브랜드 이미지 연구(II) -인식도에 의한 브랜드 이미지 분석-)

  • 최일경;고애란
    • Journal of the Korean Society of Clothing and Textiles
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    • v.19 no.5
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    • pp.699-712
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    • 1995
  • The purpose of this study was 1) to identify the constructing factors of jeans brand image 2) to analyze the domestic jeans market using perceptual maps of three benefit segments based on stdy(I). The questionnaire consisted of brand preference, attribute of brand image and wearer image was selected from the previous studies or developed for this study. The subjects were 350 male and female university students who have purchased at least one of the nine jeans wear brand selected for the study. For statistical analysis, reliability test, factor analysis, MANOVA, and multiple regression were used. The results of this study were as follows: 1. Symbolism, quality, and economy were found out as constricting factors of brand image in the attribute dimensions, while innovative and active image were found out in the wearer image dimensions. 2. 9 Perceptual maps of attribute dimensions and 3 perceptual maps of wearer image dimensions were constructed and each ideal vector was drawn.

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A Study on the Influence of the Attribute Perception of Clothing upon Preference and Purchase Intentions (의복의 속성 지각이 의류제품의 선호와 구매 의도에 미치는 영향 -여대생의 의복 관여를 중심으로-)

  • 박성은;임숙자
    • Journal of the Korean Society of Clothing and Textiles
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    • v.23 no.7
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    • pp.929-940
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    • 1999
  • The purpose of this study is to clarify the substance of clothing attributes which influence the preference and purchase intentions of consumer's on the clothing products and to analyze the influence of such attributes. The subjects of this study are 434 students and formal survey methodologies were used in collecting data. Moreover SAS Package(Ver 6,12) Program was used for analysis and various methods such as factor analysis cluster analysis ANOVA Scheffe test conjoint analysis multiple regression correlation analysis and {{{{ chi ^2 }}-test were followed. The results of this study were as follows : 1) Clothing involvement consists of the affective factor and the cognitive factor 2) The consumers were divided into three groups with regards to the degree of their clothing involvement : those are the high cognitive and high affective involvement group the low cognitive and high affective involvement group and the low cognitive and low affective involvement group 3) The objective attributes of clothing were determined by such factors as price brand style and color whereas the subjective and fashionability 4) Significant differences were found regarding the importance of such clothing attributes among these groups 5) Partial significant differences were found regarding the importance of such clothing attributes among these groups. 5) Partial significant differences were found with regards to the influence of the objective attributes on the subjective attributes among these groups 6) Partial significant differences were found with regards to the influence of clothing attributes on the preference and purchase intentions among these groups. 7) There were differences in the correlation of preference and purchase intentions among these groups : such among these groups with regards to the demographic characteristics of these groups.

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A Study on Store Image Preferences which is Followed by Clothing Buying Motives -As Object of Middle Age Women- (의복구매동기에 따른 점포이미지 선호도에 관한 연구 -중상층 중년여성을 중심으로-)

  • Lee Joo Eun;Lim Sook Ja
    • Journal of the Korean Society of Clothing and Textiles
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    • v.14 no.4 s.36
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    • pp.252-261
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    • 1990
  • This study intends to provide a beneficial foundation which can aid our understanding of how a clothing consumer group can be classified according to the clothing buying motives, and what differences are there about the importances of stroe image attribute among them and how consumer's preferences to the store image are shown differently among them and ultimately, some concrete data which can be useful in establishing efficient store image strategies for clothing stores. 413 subjects were gathered through convenience sampling method and, for data analysis, cronbach'$\alpha$, frequency, percentage, mean, $x^{2}-text$, 1-test, ANOVA, Duncan Multiple Range Test, Factor Analysis, Cluster Analysis were conducted. The results are as follows; 1. Three kind of factors in the clothing buying motives were determined for analysis of consumers group and by which it was revealed as to be significant for us to classify them four subdivisions; those of fashion pursuit group, self display group, financial utilitarian group, individual group. 2. Importance on store image attribute was revealed then the middle aged women regarded quality, price, service in order as more important factors than others. 3. Store image preferences show significantly when concerned with quality, price, fashion, impression and age of store personnel, convenience for exchanging and returning goods, credit, delivery and repair, mailing of catalogue and discount coupon, exit from, brightness of store among consumer groups. From these findings, concretely store image strategies are proposed.

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A Study on the Satisfaction of the Store Attribute, Intention of Revisit and Recommendation on the Clothing Consumer (의류 소비자의 점포 속성 만족도, 재방문 및 추천 의사에 관한 연구)

  • Yang, Lee-Na
    • The Research Journal of the Costume Culture
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    • v.17 no.3
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    • pp.367-382
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    • 2009
  • The aim of the current study was to investigate the impact of store attribute satisfaction on intentions of revisit and recommendation among clothing consumers. The data were collected from 319 consumers through survey and frequency analysis, reliability analysis, factor analysis, and multiple regression analysis were used to obtain results. The findings were as follows: 1. From factor analysis, seven factors were distracted: Fact 1(brand and price), Fact 2(store's facility and environment), Fact 3(product), Fact 4(transportation convenience and access), Fact 5(selling and advertisement), Fact 6(store's atmosphere), and Fact 7(salesman's service). 2. Four factors had statistically significant influence on overall satisfaction of clothing consumers. The most influential factor was Fact 2(store's facility and environment) and Fact 5(selling and advertisement), Fact 1(brand and price), and Fact 4(transportation convenience and access) showed their effects on overall satisfaction in an hierarchical rank-order following Fact 2. 3. Four factors such as Fact 2(store's facility and environment), Fact 1(brand and price), Fact 4(transportation convenience and access) and Fact 5(selling and advertisement) in an hierarchical rank-order from Fact 1 had statistically significant impact on intentions of revisit. 4. Six factors such as Fact 1(brand and price), Fact 2(store's facility and environment), Fact 3(product), Fact 5(selling and advertisement), Fact 6(store's atmosphere), and Fact 7(salesman's service) in an hierarchical rank-order from Fact 1 had statistically significant influence on the intention of recommendation. 5. The results further showed that among seven factors, Fact 1(brand and price), 'Fact 2(store's facility and environment), and Fact 5(selling and advertisement) had impact on both the intention of revisit and the intention of recommendation.

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Male Market Segmeotation: A Comparative Analysis of Retail Choice Behavior According to Fashion Involvement and Store Attributes (남성소비자 세분시장 분석: 의복관여와 점포이미지 속성에 따른 유통업태 선택행동 비교)

  • Sung, Hee-Won
    • Fashion & Textile Research Journal
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    • v.11 no.3
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    • pp.390-398
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    • 2009
  • The research purposes are (1) to identify male market segmentation based on fashion involvement, (2) to compare purchase intention of clothing items and store attribute evaluation at two different retail formats, department store and internet shopping mall, and (3) to compare the influence of store attributes on intention to purchase fashion products at two retail formats among segments. The data are collected from 275 male consumers through internet research institute. The major results of this study are as follows. First, the dimensions of fashion involvement are identified into external involvement and internal involvement. Male respondents present high mean scores on external involvement items, emphasizing social roles of clothing. Two involvement factors generate three market segments: high involvement group(32.4%), external involvement group(44%), and low involvement group(23.6%). Second, high involvement group shows higher mean scores on purchase intention of seven clothing items than low involvement group. Third, department store attributes are identified into four factors, product assortment, quality per price, service, and symbolic image, while internet shopping mall includes assortment & convenience, quality per price, and symbolic image. High involvement group again presents higher mean scores on each retail attribute factor than low involvement group. Finally, quality per price is the most significant variable to explain the purchase intention at department store among three market segment, whereas assortment & convenience and quality per price are important predictors to increase purchase intention at internet shopping mall. However, relative importance of each attribute variable is different among three involvement groups.

Deep learning-based clothing attribute classification using fashion image data (패션 이미지 데이터를 활용한 딥러닝 기반의 의류속성 분류)

  • Hye Seon Jeong;So Young Lee;Choong Kwon Lee
    • Smart Media Journal
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    • v.13 no.4
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    • pp.57-64
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    • 2024
  • Attributes such as material, color, and fit in fashion images are important factors for consumers to purchase clothing. However, the process of classifying clothing attributes requires a large amount of manpower and is inconsistent because it relies on the subjective judgment of human operators. To alleviate this problem, there is a need for research that utilizes artificial intelligence to classify clothing attributes in fashion images. Previous studies have mainly focused on classifying clothing attributes for either tops or bottoms, so there is a limitation that the attributes of both tops and bottoms cannot be identified simultaneously in the case of full-body fashion images. In this study, we propose a deep learning model that can distinguish between tops and bottoms in fashion images and classify the category of each item and the attributes of the clothing material. The deep learning models ResNet and EfficientNet were used in this study, and the dataset used for training was 1,002,718 fashion images and 125 labels including clothing categories and material properties. Based on the weighted F1-Score, ResNet is 0.800 and EfficientNet is 0.781, with ResNet showing better performance.

A Study on Consumer's Value, Sportswear's Benefit Sought and Attribute Evaluation (소비자 가치와 스포츠웨어 추구혜택 및 속성평가에 관한 연구)

  • Lee Hyun-Kyung;Lee Myoung-Hee
    • The Research Journal of the Costume Culture
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    • v.12 no.6 s.53
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    • pp.1031-1044
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    • 2004
  • The purpose of this study were to investigate the relationships between consumer's value and sportswear's benefit sought/attribute evaluation, and to examine how sportswear's benefit sought were influenced by consumers' value and demographic variables. Subjects were 468 males and females in their teens to 30's in Seoul. Consumer's value was classified into four dimensions by using factors analysis: materialism, achievement orientation, traditionalism, and other consciousness. The value of materialism and achievement orientation had positive relations with brand orientation, fashion, appearance attraction, enterprise image, and brand advertisement of sportswear in both male and female. Achievement orientation had, in case of the male, positive relations with economics, practicality, fabrics, and quality of sportswear. In case of the female, traditionalism had positive relations with economics and practicality, and other consciousness value had positive relations with brand advertisement. Materialism was the most important in predicting brand orientation, followed by social class in both male and female. Age was the most important in predicting practicality, followed by achievement orientation in case of the male. Materialism(-) was, in case of the female, the most important in predicting practicality, followed by traditionalism, achievement orientation, and age.

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Framing Trend and Style Information in Magazine

  • Kwon, Yoo Jin
    • Journal of the Korean Society of Clothing and Textiles
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    • v.37 no.4
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    • pp.491-505
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    • 2013
  • This study applies framing theory to the presentation of trend or styling information in fashion journalism. A qualitative content analysis was conducted with three lifestyle magazines. The findings include attribute, attitude, and source-based frames. The attribute-based frame was used to increase the versatility and feasibility of design by emphasizing particular attributes of clothes. To increase versatility, an item could be presented either as a basic or trendy design. To increase feasibility, fashion information could be customized by price points (i.e., affordable frame) or body type (i.e., flattering frame). The attitude-based frame includes prescriptive and rule-breaking frames. The source-based frame offers a source of trend or styling information. Expert, celebrity, and consumer frame emerged under the source-based frame. Findings reveal how fashion and style information is defined and crafted.

An Analysis of the Ecology Fabric Trend : 20 Years (1986-2005) of S/S Woven Fabric Trends

  • Kim, Dong-Woon;Park, Chung-Bee
    • International Journal of Costume and Fashion
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    • v.10 no.1
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    • pp.29-45
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    • 2010
  • In order to provide more systematic approach to analyze fabric trends and to develop fabrics accordingly, ecology fabric trend from 1986 to 2005 was analyzed related with fabric trend themes and fabric attributes. The result shows that in the 1980s, natural theme appeared, followed by primitive theme and imitated natural theme until the mid 1990s. From the late 1990s to the early 2000s, new natural theme appeared, followed by eco-friendly theme, and then recycling theme. In the natural theme, 'clean' was the most important fabric attribute and 'textured' and 'worn' were important fabric attributes in the primitive theme. In the imitated natural theme, 'wet' fabric attribute was preferred. In the new natural theme, 'lightweight' were preferred. The results of this study empirically demonstrated that abstract and ambiguous trend terms can be interpreted with a physical, substantial, and feasible attributes that fabric practitioners can easily understand.

A Study on the Store Selection Behavoir (의류점포선택행동에 관한 연구 -부산시에 거주하는 여성소비자를 중심으로-)

  • Ha, Jong-Kyoung;Park, Ok-Ryun
    • Korean Journal of Human Ecology
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    • v.9 no.1
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    • pp.63-70
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    • 2000
  • The purpose of this study is The results was that consumers who like to the top brand's commodities, had commonly high tendency to and fro its trademark and store allegiance. Furthermore, they have usually bought something following on their inclination what they had purchased as well as the store decoration character and the marketing promotion attribute. The other consumers who prefer to the discount store's merchandises, had also high propensity and the biggest influence on buying something which were those factors; their instance shopping habit, utility-economy trait, follow the fashion character and strong circumspection tendency besides using the mass media Info., personal data and commodities' attribute.

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