• Title/Summary/Keyword: Fashion Model

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Evaluation of communication effectiveness of cruelty-free fashion brands - A comparative study of brand-led and consumer-perceived images - (크루얼티 프리 패션 브랜드의 커뮤니케이션 성과 분석 - 브랜드 주도적 이미지와 소비자 지각 이미지에 대한 비교 -)

  • Yeong-Hyeon Choi;Sangyung Lee
    • The Research Journal of the Costume Culture
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    • v.32 no.2
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    • pp.247-259
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    • 2024
  • This study assessed the effectiveness of brand image communication on consumer perceptions of cruelty-free fashion brands. Brand messaging data were gathered from postings on the official Instagram accounts of three cruelty-free fashion brands and consumer perception data were gathered from Tweets containing keywords related to each brand. Web crawling and natural language processing were performed using Python and sentiment analysis was conducted using the BERT model. By analyzing Instagram content from Stella McCartney, Patagonia, and Freitag from their inception until 2021, this study found these brands all emphasize environmental aspects but with differing focuses: Stella McCartney on ecological conservation, Patagonia on an active outdoor image, and Freitag on upcycled products. Keyword analysis further indicated consumers perceive these brands in line with their brand messaging: Stella McCartney as high-end and eco-friendly, Patagonia as active and environmentally conscious, and Freitag as centered on recycling. Results based on the assessment of the alignment between brand-driven images and consumer-perceived images and the sentiment evaluation of the brand confirmed the outcomes of brand communication performance. The study revealed a correlation between brand image and positive consumer evaluations, indicating that higher alignment of ethical values leads to more positive consumer assessments. Given that consumers tend to prioritize search keywords over brand concepts, it's important for brands to focus on using visual imagery and promotions to effectively convey brand communication information. These findings highlight the importance of brand communication by emphasizing the connection between ethical brand images and consumer perceptions.

Testing for Measurement Invariance of Fashion Brand Equity (패션브랜드 자산 측정모델의 등치테스트에 관한 연구)

  • Kim Haejung;Lim Sook Ja;Crutsinger Christy;Knight Dee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.12 s.138
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    • pp.1583-1595
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    • 2004
  • Simon and Sullivan(l993) estimated that clothing and textile related brand equity had the highest magnitude comparing any other industry category. It reflects that fashion brands reinforce the symbolic, social values and emotional characteristics being different from generic brands. Recently, Kim and Lim(2002) developed a fashion brand equity scale to measure a brand's psychometric properties. However, they suggested that additional psychometric tests were needed to compare the relative magnitude of each brand's equity. The purpose of this study was to recognize the psychometric constructs of fashion brand equity and validate Kim and Lim's fashion brand equity scale using the measurement invariance test of cross-group comparison. First, we identified the constructs of fashion brand equity using confirmatory factor analysis through structural equation modeling. Second, we compared the relative magnitude of two brands' equity using the measurement invariance test of multi-group simultaneous factor analysis. Data were collected at six major universities in Seoul, Korea. There were 696 usable surveys for data analysis. The results showed that fashion brand equity was comprised of 16 items representing six dimensions: customer-brand resonance, customer feeling, customer judgment, brand imagery, brand performance and brand awareness. Also, we could support the measurement invariance of two brands' equities by configural and metric invariance tests. There were significant differences in five constructs' mean values. The greatest difference was in customer feeling; the smallest, in customer judgment.

Business Application of Convolutional Neural Networks for Apparel Classification Using Runway Image (합성곱 신경망의 비지니스 응용: 런웨이 이미지를 사용한 의류 분류를 중심으로)

  • Seo, Yian;Shin, Kyung-shik
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.1-19
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    • 2018
  • Large amount of data is now available for research and business sectors to extract knowledge from it. This data can be in the form of unstructured data such as audio, text, and image data and can be analyzed by deep learning methodology. Deep learning is now widely used for various estimation, classification, and prediction problems. Especially, fashion business adopts deep learning techniques for apparel recognition, apparel search and retrieval engine, and automatic product recommendation. The core model of these applications is the image classification using Convolutional Neural Networks (CNN). CNN is made up of neurons which learn parameters such as weights while inputs come through and reach outputs. CNN has layer structure which is best suited for image classification as it is comprised of convolutional layer for generating feature maps, pooling layer for reducing the dimensionality of feature maps, and fully-connected layer for classifying the extracted features. However, most of the classification models have been trained using online product image, which is taken under controlled situation such as apparel image itself or professional model wearing apparel. This image may not be an effective way to train the classification model considering the situation when one might want to classify street fashion image or walking image, which is taken in uncontrolled situation and involves people's movement and unexpected pose. Therefore, we propose to train the model with runway apparel image dataset which captures mobility. This will allow the classification model to be trained with far more variable data and enhance the adaptation with diverse query image. To achieve both convergence and generalization of the model, we apply Transfer Learning on our training network. As Transfer Learning in CNN is composed of pre-training and fine-tuning stages, we divide the training step into two. First, we pre-train our architecture with large-scale dataset, ImageNet dataset, which consists of 1.2 million images with 1000 categories including animals, plants, activities, materials, instrumentations, scenes, and foods. We use GoogLeNet for our main architecture as it has achieved great accuracy with efficiency in ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Second, we fine-tune the network with our own runway image dataset. For the runway image dataset, we could not find any previously and publicly made dataset, so we collect the dataset from Google Image Search attaining 2426 images of 32 major fashion brands including Anna Molinari, Balenciaga, Balmain, Brioni, Burberry, Celine, Chanel, Chloe, Christian Dior, Cividini, Dolce and Gabbana, Emilio Pucci, Ermenegildo, Fendi, Giuliana Teso, Gucci, Issey Miyake, Kenzo, Leonard, Louis Vuitton, Marc Jacobs, Marni, Max Mara, Missoni, Moschino, Ralph Lauren, Roberto Cavalli, Sonia Rykiel, Stella McCartney, Valentino, Versace, and Yve Saint Laurent. We perform 10-folded experiments to consider the random generation of training data, and our proposed model has achieved accuracy of 67.2% on final test. Our research suggests several advantages over previous related studies as to our best knowledge, there haven't been any previous studies which trained the network for apparel image classification based on runway image dataset. We suggest the idea of training model with image capturing all the possible postures, which is denoted as mobility, by using our own runway apparel image dataset. Moreover, by applying Transfer Learning and using checkpoint and parameters provided by Tensorflow Slim, we could save time spent on training the classification model as taking 6 minutes per experiment to train the classifier. This model can be used in many business applications where the query image can be runway image, product image, or street fashion image. To be specific, runway query image can be used for mobile application service during fashion week to facilitate brand search, street style query image can be classified during fashion editorial task to classify and label the brand or style, and website query image can be processed by e-commerce multi-complex service providing item information or recommending similar item.

Structural Analysis of Time and Money Attitudes, Leisure Consumption Behavior and Leisure Satisfaction (시간과 화폐에 대한 태도가 여가소비행동과 여가만족도에 미치는 영향에 대한 구조분석)

  • Huh, Kyungok;Cha, Kyung-Wook;Yoo, Soo-Hyun
    • Journal of Family Resource Management and Policy Review
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    • v.19 no.2
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    • pp.127-148
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    • 2015
  • This study compared types of time and money attitudes by respondents' characteristics, and compared leisure consumption behavior and leisure satisfaction among different groups, which are classified by attitudes toward time and money. It also verified a structural model for the relationship of leisure satisfaction and the attitudes toward time and money, and investigated the moderating effects of leisure consumption behavior. Data were obtained from a questionnaire completed by 512 adult consumers. Using factor analyses and cluster analyses, this study classified the types of time and money attitudes. The time attitude was categorized according to four clusters: time-insensibility, future- oriented, present-oriented, and past-oriented. The money attitude was divided into four clusters: future safety, stinginess/anxiety, diversion, and power/prestige. The major findings of this study were as follows: First, the propensity of leisure consumption behavior to seek fashion and conspicuousness was higher for time-insensibility group than for the others. However, the propensity of rational consumption behavior for leisure was higher for the future-oriented group. The level of leisure satisfaction was the highest for the time-insensibility group. Second, the propensity of leisure consumption behavior to seek fashion and conspicuousness was higher for those who considered money as tools for diversion and power/prestige. The propensity of rational consumption behavior for leisure was higher for the future safety and stinginess/anxiety groups. The level of leisure satisfaction was significantly higher for the diversion group. Third, from the results of structural analyses, the time-insensibility attitude showed a positive effect on the leisure consumption behavior to seek fashion and conspicuousness. The future-oriented attitude had a positive effect on the propensity of rational consumption behavior for leisure. The money attitudes of diversion and power/prestige had positive impacts on the leisure consumption behavior to seek fashion and conspicuousness, although they had negative effects on the propensity of rational consumption behavior for leisure. The leisure consumption behavior to seek fashion and conspicuousness had a positive effect on leisure satisfaction, although the rational consumption behavior for leisure had a negative effect.

An Identification of Determinants to Ambivalent Purchase Intention of Fashion Luxury Brand Expanded Cosmetic for MZ Generation (패션 명품 확장 브랜드의 코스메틱에 대한 MZ세대의 양면적 소비 의도에 미치는 영향 변인에 관한 연구)

  • Song, Ji-Ahn;Jang, Seong-Ho
    • The Journal of the Korea Contents Association
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    • v.21 no.3
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    • pp.47-67
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    • 2021
  • The purpose of this study is to identify antecedent factors influencing the two-sided consumption intention tendencies observed in MZ generation from the viewpoint of consumption value in the cosmetic consumption scene of fashion houses. In order to verify the research model and hypotheses proposed in this study at the level of statistical significance. a survey was conducted for MZ generation, and data collected from a total of 286 samples were analyzed through a structural equation model. As a result. emotional and social consumption value was identified as a variable that had a great influence on the consumption intention of MZ generation. First, self-esteem had an effect on the emotion consumption value at the statistical significance level. Second, materialism had a significant influence on emotional and social consumption values. Third, public self-consciousness was found to have an effect on social consumption value. That is, MZ generation pursues the beauty trend presented by the fashion house's beauty brand and perceives it as a high consumption value. In addition, it was confirmed that MZ generation exhibited a conspicuous consumption tendency that they could be socially differentiated by using fashion house cosmetics.

E-loyalty formation process and satisfaction for apparel products (의류제품의 E-충성도 형성 과정과 소비자만족)

  • Park, Eun Joo;Kim, Sae Hee
    • Korean Journal of Human Ecology
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    • v.21 no.6
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    • pp.1185-1198
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    • 2012
  • The purposes of this study were to investigate the relationships between e-loyalty formation process and satisfaction for apparel products by testing the research model developing upon prior researches, and to analyze the differences of the structural model between two groups (high satisfaction group and low satisfaction group). A total of 356 respondents participated through a convenience sampling at universities in Busan. Data were analyzed by a structural equation model analysis. The results were as followings: First, for the structural model, the attributes of shopping malls (e.g., e-store attributes and product attributes) affected consumer satisfaction which influenced the e-loyalty of shopping malls, mediated by value perception. Second, high-satisfaction group evaluated more importantly the attributes of shopping malls, higher perceived the value of products and web sites, more satisfied the mall, and had greater loyalty of online shopping malls than low-satisfaction group. Third, there were significant differences between high-satisfaction group and low-satisfaction group in the e-loyalty model for apparels. Specifically, for high-satisfaction group, the e-store attributes were more likely to influence the value perception of products and web sites than low-satisfaction group, while low-satisfaction group was the higher perceived the value of products, the more they satisfied and then the greater e-loyalty respectively. According to the findings, the implications and future suggestions related to e-loyalty of shopping malls for apparels are provided.

Workflow Modeling based on State Chart

  • Oh, Myeong-Eun;Han, Sang-Yong
    • Proceedings of the CALSEC Conference
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    • 2004.02a
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    • pp.350-354
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    • 2004
  • □ Many specification language has been developed for workflow modeling, but their emphasis on the process semantics make it difficult for use on the business process modeling. □ Also their lack of understanding of global view of Business process adds another problem to model workflow in a seamless and accurate and timely fashion(omitted)

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Brand Equity and Purchase Intention in Fashion Products: A Cross-Cultural Study in Asia and Europe (상표자산과 구매의도와의 관계에 관한 국제비교연구 - 아시아와 유럽의 의류시장을 중심으로 -)

  • Kim, Kyung-Hoon;Ko, Eun-Ju;Graham, Hooley;Lee, Nick;Lee, Dong-Hae;Jung, Hong-Seob;Jeon, Byung-Joo;Moon, Hak-Il
    • Journal of Global Scholars of Marketing Science
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    • v.18 no.4
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    • pp.245-276
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    • 2008
  • Brand equity is one of the most important concepts in business practice as well as in academic research. Successful brands can allow marketers to gain competitive advantage (Lassar et al.,1995), including the opportunity for successful extensions, resilience against competitors' promotional pressures, and the ability to create barriers to competitive entry (Farquhar, 1989). Branding plays a special role in service firms because strong brands increase trust in intangible products (Berry, 2000), enabling customers to better visualize and understand them. They reduce customers' perceived monetary, social, and safety risks in buying services, which are obstacles to evaluating a service correctly before purchase. Also, a high level of brand equity increases consumer satisfaction, repurchasing intent, and degree of loyalty. Brand equity can be considered as a mixture that includes both financial assets and relationships. Actually, brand equity can be viewed as the value added to the product (Keller, 1993), or the perceived value of the product in consumers' minds. Mahajan et al. (1990) claim that customer-based brand equity can be measured by the level of consumers' perceptions. Several researchers discuss brand equity based on two dimensions: consumer perception and consumer behavior. Aaker (1991) suggests measuring brand equity through price premium, loyalty, perceived quality, and brand associations. Viewing brand equity as the consumer's behavior toward a brand, Keller (1993) proposes similar dimensions: brand awareness and brand knowledge. Thus, past studies tend to identify brand equity as a multidimensional construct consisted of brand loyalty, brand awareness, brand knowledge, customer satisfaction, perceived equity, brand associations, and other proprietary assets (Aaker, 1991, 1996; Blackston, 1995; Cobb-Walgren et al., 1995; Na, 1995). Other studies tend to regard brand equity and other brand assets, such as brand knowledge, brand awareness, brand image, brand loyalty, perceived quality, and so on, as independent but related constructs (Keller, 1993; Kirmani and Zeithaml, 1993). Walters(1978) defined information search as, "A psychological or physical action a consumer takes in order to acquire information about a product or store." But, each consumer has different methods for informationsearch. There are two methods of information search, internal and external search. Internal search is, "Search of information already saved in the memory of the individual consumer"(Engel, Blackwell, 1982) which is, "memory of a previous purchase experience or information from a previous search."(Beales, Mazis, Salop, and Staelin, 1981). External search is "A completely voluntary decision made in order to obtain new information"(Engel & Blackwell, 1982) which is, "Actions of a consumer to acquire necessary information by such methods as intentionally exposing oneself to advertisements, taking to friends or family or visiting a store."(Beales, Mazis, Salop, and Staelin, 1981). There are many sources for consumers' information search including advertisement sources such as the internet, radio, television, newspapers and magazines, information supplied by businesses such as sales people, packaging and in-store information, consumer sources such as family, friends and colleagues, and mass media sources such as consumer protection agencies, government agencies and mass media sources. Understanding consumers' purchasing behavior is a key factor of a firm to attract and retain customers and improving the firm's prospects for survival and growth, and enhancing shareholder's value. Therefore, marketers should understand consumer as individual and market segment. One theory of consumer behavior supports the belief that individuals are rational. Individuals think and move through stages when making a purchase decision. This means that rational thinkers have led to the identification of a consumer buying decision process. This decision process with its different levels of involvement and influencing factors has been widely accepted and is fundamental to the understanding purchase intention represent to what consumers think they will buy. Brand equity is not only companies but also very important asset more than product itself. This paper studies brand equity model and influencing factors including information process such as information searching and information resources in the fashion market in Asia and Europe. Information searching and information resources are influencing brand knowledge that influences consumers purchase decision. Nine research hypotheses are drawn to test the relationships among antecedents of brand equity and purchase intention and relationships among brand knowledge, brand value, brand attitude, and brand loyalty. H1. Information searching influences brand knowledge positively. H2. Information sources influence brand knowledge positively. H3. Brand knowledge influences brand attitude. H4. Brand knowledge influences brand value. H5. Brand attitude influences brand loyalty. H6. Brand attitude influences brand value. H7. Brand loyalty influences purchase intention. H8. Brand value influence purchase intention. H9. There will be the same research model in Asia and Europe. We performed structural equation model analysis in order to test hypotheses suggested in this study. The model fitting index of the research model in Asia was $X^2$=195.19(p=0.0), NFI=0.90, NNFI=0.87, CFI=0.90, GFI=0.90, RMR=0.083, AGFI=0.85, which means the model fitting of the model is good enough. In Europe, it was $X^2$=133.25(p=0.0), NFI=0.81, NNFI=0.85, CFI=0.89, GFI=0.90, RMR=0.073, AGFI=0.85, which means the model fitting of the model is good enough. From the test results, hypotheses were accepted. All of these hypotheses except one are supported. In Europe, information search is not an antecedent of brand knowledge. This means that sales of global fashion brands like jeans in Europe are not expanding as rapidly as in Asian markets such as China, Japan, and South Korea. Young consumers in European countries are not more brand and fashion conscious than their counter partners in Asia. The results have theoretical, practical meaning and contributions. In the fashion jeans industry, relatively few studies examining the viability of cross-national brand equity has been studied. This study provides insight on building global brand equity and suggests information process elements like information search and information resources are working differently in Asia and Europe for fashion jean market.

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The Effects of Organizational Culture in the Textile Companies on Innovation Capacity and Business Performance - Focusing on Moderating Effects of Company Size - (섬유기업 조직문화가 혁신역량과 사업성과에 미치는 영향 -기업규모에 따른 조절효과를 중심으로-)

  • Yoh, Eun-Ah;Park, Kwang-Hee;Kim, Mun-Young
    • Journal of the Korean Society of Clothing and Textiles
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    • v.32 no.4
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    • pp.542-552
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    • 2008
  • The purposes of this study were to investigate the effects of organizational culture of textile companies on innovation capacity and business performance and to confirm the moderating effect of company size on these relationships. Survey data collected from 147 practitioners in the textile companies were analyzed by descriptive statistics, t-tests, and multiple causal modeling using AMOS 6.0. In the model test result, all the hypothesized paths were significant in spite of low goodness of fit. Also, although difference was found in company innovativeness, no difference was indicated in innovation capacity and business performance according to company size. In addition, the smaller companies, the stronger effect of company innovativeness on innovation capacity that affected business performance. On the contrary, the larger companies, the stronger effect of participative decision making on innovation capacity that did not affect business performance. Study results may provide useful implications for practitioners who are interested in developing organizational culture appropriate for company size.