• Title/Summary/Keyword: 의류 속성

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The Effects of Perceived Innovation Attributes On Fashion Innovative Behavior (인지된 혁신속성이 패션혁신행동에 미치는 영향)

  • 박경애
    • Journal of the Korean Society of Clothing and Textiles
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    • v.24 no.3
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    • pp.393-400
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    • 2000
  • 기술적 혁신과는 달리 상징적 혁신(symbolic innovation)은 기존 제품에 부가된 사회적 의미가 변화함으로서 창조된다. 따라서, 상징적 혁신에서 새로운 사회적 의미와 관련된 속성은 기능적 속성만큼이나 중요하다. 본 연구는 상징적 혁신의 대표적인 의류제품을 이용, 패션혁신행동에 영향을 미치는 인지된 혁신속성(perceived innovation attributes)을 구별하고, 패션혁신행동의 두 유형(구매와 사용)에 미치는 이러한 속성의 영향을 고찰하였다. 대학생 집단을 표본으로 이용, 설문지 조사를 통해 수집된 515부의 응답지가 분석되었다. 인지된 혁신 속성은 유사성(compatibility), 기능적 상대적 잇점, 사회적 상대적 잇점, 인지된 위험으로 구분되었다. 의복흥미가 구매와 사용 두 측면의 패션혁신행동에 영향을 주었으나 인지된 혁신속성은 사용측면에만 영향을 주었다. 유사성과 기능적 상대적 잇점이 사용혁신행동에 긍정적 영향을, 인지된 위험이 부정적 영향을 미쳤다. 혁신속성이 영향을 미치지 않은 반면 의류소비정도가 구매혁신에 영향을 주었다. 본 연구의 결과는 사용혁신성이 높은 소비자는 구매혁신성이 높은 소비자보다 혁신속성의 평가에 더 관여한다는 것을 시사한다.

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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.

Consumers'′ Evaluation toward Retail Salespeople Attributes : Scale Development, Validation, and Some Related Variables (소비자가 지각하는 백화점 의류판매원의 평가속성 : 측정도구 개발 및 관련변인)

  • 진병호;홍병숙
    • Journal of Distribution Research
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    • v.4 no.3
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    • pp.65-86
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    • 2000
  • From the perspective of relationship marketing, salespeople acts important role by creating values and developing, establishing long-term relationship with customers. This study is designed to suggest validated measure of evaluating retail salespeople in department store setting in an effort to facilitate active future studies. For this purpose, this study investigated attributes of retail salespeople based on series of personal interviews and literature reviews, and validated its measurement via exploratory and confirmatory factor analysis. In addition, this study explored consumers' rating of the importance of attributes related to some selected consumer variables (consumer knowledge, product involvement, and demographic variables). The findings of this study revealed five dimensions of retail salespeople attributes: Service Mind, Sales Efforts, Product Knowledge, Comfortable Impression and Sale Inducing Skill. Customers of department stores put importance of salespeople attributes in this order. Some dimensions of consumer knowledge and product involvement do affect consumers' rating of retail salespeople attributes. Theoretical and managerial implications were suggested based on empirical results.

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Quality Assessment of Clothing Products Using a Fuzzy/Multi-Attribute Model (퍼지-다속성 모델을 이용한 의류품질의 감성공학적 평가)

  • 김주용;이지현
    • Science of Emotion and Sensibility
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    • v.7 no.2
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    • pp.149-155
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    • 2004
  • This research focus on analyzing the quality of clothing product in view of consumer's sensibility trend with a emphasis on measuring objective quality of pruduct. The fuzzy logic-based multi attribute model has been developed in order to evaluate the quality of clothing product. The overall quality of a clothing products can be divided into two distinct terms, product quality and brand value. Those two values are further analyzed with a relation to human sensibility.

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The Relationship among Golf Wear Selection Attributes, Customer Satisfaction, Brand Attitude and Repurchase Intention (골프의류 선택속성과 고객만족, 브랜드태도 및 재구매의도의 관계)

  • Kim, Jae-Hwan;Kim, Joo-Young
    • Journal of Digital Convergence
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    • v.15 no.6
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    • pp.467-479
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    • 2017
  • The purpose of this study was to identify the relationship among golf wear selection attributes, customer satisfaction, brand attitude and repurchase intention In order to achieve this purpose, 204 spectator were selected from department of golf at university and golf wear store in seoul by the convenience sampling method. The instrument for data collection was a questionnaire whose validity was evaluated by an expert group and whose reliability was judged from the cronbach's alpha values ranging from .826 to .945 The results first, it showed that aesthetics and dailiness of golf wear selection attributes had positive effect on customer satisfaction. Second, it showed that customer satisfaction had positive effect on brand attitude. Lastly, it showed that customer satisfaction had positive effect on repurchase intention. Therefore, golf wear firms should understand what consumers' Selection Attributes. And they should devise effective strategies.

The Structural Analysis of the Variables among Clothes Consumption Value, Need for Uniqueness, Use Information Sources Related to Importance of Apparel Product Attributes and Store Attributes (의복소비가치, 독특성 욕구, 정보원 활용이 의류제품속성 및 점포속성 중요도에 영향을 미치는 변인 간의 구조 분석)

  • Park, Hye-Jung;Yoo, Tai-Soon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.8
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    • pp.802-813
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    • 2012
  • This study establishes how the clothes consumption value, need for uniqueness, and use information sources could influence the importance of apparel product attributes and the importance of store attributes. Data were collected through a survey of adults in their 20's and 30's with 48 questionnaires for statistical analysis. The collected data were processed with the programs AMOS 16.0 and SPSS 18.0 for windows and reliability analysis, correlation analysis, factor analysis, and structural equation analysis were conducted to analyze the data. The results in this research are follows. First, the clothes consumption value influences the importance of apparel product attributes both directly and indirectly and the importance of store attributes indirectly through use information sources. Second, the need for uniqueness influences the importance of apparel product attributes indirectly and importance of store attributes both directly and indirectly through clothes consumption value and use information sources. The implications of these findings and suggestions for future study are also discussed.

Retail Sale Advertising: Effects of Reference Price, Price Rationale and Price-Quality Inference on Evaluation of Apparel Attributes (비교가격 광고의 준거가격과 소매점의 가격할인취지 및 소비자의 가격 -품질 연상 심리 수준이 의류제품 속성 평가에 미치는 영향-)

  • Hyun, Ji-Eun;Hong, Hee-Sook
    • Journal of Global Scholars of Marketing Science
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    • v.9
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    • pp.47-75
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    • 2002
  • The purpose of this study is to identify the effects of reference price, price rationale and price-quality inference of consumer on the evaluation of apparel quality. The experimental materials developed for this study were a set of stimulus and response sheet. The stimuli were six print ads, which was manipulated by reference price and price rationale for a jacket of national brand. This study used a 2(reference price: offer and non offer)$\times$3(price rationale: non offer, stock disposal, sales promotion) $\times$2(price-quality inference of consumer: high and low level) between-subjects experiment. Subjects were 371 female university students. The data were analyzed by factor analysis, ANOVA and t-test. The results were as follows. First, three apparel attributes were identified: sewing/fabrics and label by factor analysis. Second, the significant interaction effects of reference price, price rationale and price-quality inference of consumer were found on evaluating quality of sewing/fabrics and label of apparel. So, reference price effect differed to depending on type of price rationale and levels of price-quality inference. Third, the significant main effect of price-quality inference of consumer existed on evaluating construction quality of apparel.

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A digital system for apparel fabrication based on a fuzzy/multi-attribute model (퍼지-다속성 모델을 이용한 디지털 소재 기획 시스템)

  • 김주용;이지현
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.11a
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    • pp.157-159
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    • 2002
  • 패션트렌드와 소비자감성에 적합한 패션소재를 기획, 선정하는데 도움을 주는 컴퓨터 기반의 의사 결정시스템이 개발되었다. 패션소재로서의 유용성을 결정하는 속성을 두께, 무게, 밀도, 광택, 색상등으로 한정한 후 다속성 모델을 구축하였다. 각 속성들의 가중치는 의류 매장의 방문객 대상의 설문 조사에 의해 결정되었으며, 한 소재의 최조 가치는 퍼지 추론 시스템에 의해 계산되었다. 구축된 “퍼지-다속성” 모델을 이용하여 패션소재의 총 가치를 i) 품질로부터의 가치, ii) 품질을 기반으로 부가되는 가치, iii) 품질과는 무관하게 형성되는 브랜드 가치의 세가지 요소롤 분해하였다. 시중의 유명 스포츠 의류 브랜드 2종을 선정하여 위의 모델을 적용하였다. 위의 모델은 컴퓨터 시스템으로 개발되어, 특정 소재의 기본정보가 입력이 되면 그에 해당하는 감성정보로 변환되는 소재 평가 시스템과 역으로 원하는 감성 어휘를 입력하면 그에 해당하는 소재를 제안하는 소재 기획 시스템의 독립적인 두 요소로 구성된다.

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A Recommendation Method of Similar Clothes on Intelligent Fashion Coordination System (지능형 패션 코디네이션 시스템에서 유사의류 추천방법)

  • Kim, Jung-In
    • Journal of Korea Multimedia Society
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    • v.12 no.5
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    • pp.688-698
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    • 2009
  • The market for Internet fashion/coordination shopping malls has been enormously increased year by year. However, online shoppers feel inconvenient because most of Internet shopping malls still rely on item classifications by category and do not provide the functionality in terms of which shoppers can find clothes they want. In an effort to build a fashion/coordination system for women's dress adopting the Heuristic-based method, one of the Context-based methods, we present a method for defining characteristics of a woman's dress as attributes and their inheritance relations, which can be input by a product manager. We also compare and analyze various methods for recommending the most similar clothes.

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Influence of Korean Instagram Users' Individualism/Collectivism Propensity, Social Capital and Instagram Usage Propensity on their Fashion Influencer's Attributes Evaluation (인스타그램 이용자의 개인주의/집단주의 성향, 사회적 자본 및 인스타그램 이용 성향에 따른 패션 인플루언서 속성 평가에 관한 연구)

  • Shin, Eun Jung;Lee, Ji Yoon;Lee, So Yeong;Kim, Su Yeon;Koh, Ae-Ran
    • Journal of the Korean Society of Clothing and Textiles
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    • v.43 no.5
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    • pp.605-619
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    • 2019
  • This study investigates the effects of fashion consumers' individualism collectivism propensity, social capital and Instagram usage propensity on evaluations for fashion influencer's attributes on Instagram. This study conducted a questionnaire survey of 20 to 30 year old male and female Instagram users. A total of 483 replies were submitted and 467 of the replies were used in the final analysis. The quantitative data collected through questionnaires were analyzed using reliability analysis using SPSS 18.0 while AMOS 18.0 was used to test the model fit and a structural equation modeling between the variables. The results indicated that vertical collectivism and vertical individualism were found to be related to relationship seeking propensity; only vertical individualism was found to be related to information seeking propensity. Furthermore, relationship seeking propensity and information seeking propensity were both related to the fashion influencer's attributes of professionalism, intimacy and attractiveness.