• Journal of Fashion Business
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• v.18 no.6
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• pp.188-207
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• 2014

The purpose of this research was to examine the extent of deontological (values) and teleological evaluation (considering consequences) used in arriving at an ethical judgment concerning intention to purchase a fashion counterfeit. In addition, the effect of psychographic (attitudes toward counterfeiting, risk taking, self-image, value consciousness, public self-consciousness, and materialism) and product attributes (perceived fashion content, physical appearance, and image) on intention to purchase a counterfeit product were investigated. Two alternatives and possible consequences as well as the scenario were given to the participants. The first alternative is persuading a friend not to buy a counterfeit and the second alternative is purchasing a counterfeit product with a friend. Participants (n = 245) were undergraduate volunteers enrolled in courses at a Midwestern university. Data were analyzed using confirmatory factory analysis and structural equation modeling. The proposed structural models fit the data adequately in both alternatives, and all paths were significant. Participants followed the decision making steps outlined by Hunt and Vitell (1986) in both alternatives. Personal characteristics exerted no influence on behavioral intentions concerning counterfeits. Two product-related characteristics (i.e., physical appearance of a counterfeit and projected image of a counterfeit) had direct effects on the behavioral intentions. The conclusions of this research are helpful in improving our understanding of variables that influence consumers' purchasing counterfeit luxury products.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.686-687
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• 2022

Existing clothing product search is possible only with text search, so it is not possible to properly search for the product that the user is looking for, and it takes a lot of time to search for the desired product. In addition, it was difficult to know where to sell unbranded products such as Soho Mall products, and it was difficult to search for detailed attributes of fashion products. To solve this problem, we would like to propose a deep learning technique that can search for the exact information that the user wants through the learned image search.

• The Research Journal of the Costume Culture
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• v.14 no.4
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• pp.542-555
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• 2006

The main objective of this study was to investigate the relationship between benefits segmentation and knitwear purchasing behavior of college female students in the U.S. The questionnaires for this survey were developed to measure knitwear purchasing behavior and benefits segmentation. The questionnaire was administered to 119 female college students in the University of California. The data was analyzed by percentage, frequency, mean, factor analysis, Cluster Analysis and ANOVA, Duncan Multiple Range test. The female college students in the U.S. were classified into fourth subdivisions by the cluster analysis. In the case of fashion information sources of knit wear, significant differences were found according to benefits sought subdivision in observation of famous people's clothing, fashion articles in magazines and newspapers, TV advertisements, Newspaper advertisements, advice of salespeople, and Catalogs. The evaluation criteria of knit wear product of consumers were significantly different depending on benefits sought subdivision in design/style, quality of construction, fashionable, brand and store name, pleasing to others, prestige, and sexy. The store attributes of knitwear product of consumers were significantly different depending on benefits sought subdivision in friendliness of sales personnel, product knowledge of sales personnel, brand names, new fashion, and variety of products. The outlook for the industry of knitwear look to remain bright, there should be a continuous effort to research and invest in consumer satisfaction of knitwear.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.4
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• pp.729-742
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• 2023

This two-part study explores the changes in the types of perceived value and consumption channels for vintage clothing and the relationship between the two variables. In Study 1, we used text mining with the keyword "fashion+vintage." Emotional value was the most frequently mentioned, and environmental value increased the most. We also revealed an increasing trend in online channels for vintage clothing consumption. In Study 2, we analyzed 30 interviews with consumers who had purchased vintage clothing through online channels. We identified 7 attributes and 20 goals for vintage consumption online and pinpointed three strong connections. First, consumers reported high levels of service satisfaction due to the usefulness of algorithms. Second, the authenticity and heritage information available through online and mobile channels were associated with consumers' perceptions of value related to financial benefits. Third, consumers sought to find rare products through online channels, leading to a strong influence on their sense of achievement. Overall, this study proposed ways to increase the value of vintage clothing perceived by consumers through consumption online.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.1142-1160
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• 2022

Text data plays a significant role in understanding and analyzing trends in consumer, business, and social sectors. For text analysis, there must be a corpus that reflects specific domain knowledge. However, in the field of fashion, the professional corpus is insufficient. This study aims to develop a taxonomy and thesaurus that considers the specialty of fashion products. To this end, about 100,000 fashion vocabulary terms were collected by crawling text data from WSGN, Pantone, and online platforms; text subsequently was extracted through preprocessing with Python. The taxonomy was composed of items, silhouettes, details, styles, colors, textiles, and patterns/prints, which are seven attributes of clothes. The corpus was completed through processing synonyms of terms from fashion books such as dictionaries. Finally, 10,294 vocabulary words, including 1,956 standard Korean words, were classified in the taxonomy. All data was then developed into a web dictionary system. Quantitative and qualitative performance tests of the results were conducted through expert reviews. The performance of the thesaurus also was verified by comparing the results of text mining analysis through the previously developed corpus. This study contributes to achieving a text data standard and enables meaningful results of text mining analysis in the fashion field.

• The Research Journal of the Costume Culture
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• v.15 no.3 s.68
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• pp.394-404
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• 2007

The purpose of the study was to analyze the difference in knitwear purchasing behaviors of female college students in the U.S., Korea, and China. It was developed questionnaire that included knitwear purchasing behavior that is fashion information sources, evaluation criteria of knitwear products, store attributes of knitwear, knitwear buying places, and purchasing experience of foreign-made knitwear. The final sample used in this study consisted of 119 female college students in U.S., 150 female college students in Korea, and 217 female college students in China. Aged from 18 to 33. ANOVA, factor analysis, Duncan's multiple range test, frequency, and percentage as analysis methods were used. The results of the study were as follows. The preference of knitwear among the respondents was shown highly. This result is due to a world-wide trend of casual clothing, and is to prove, that knitwear is that made with flexibility, drape, and stretch, is the item that is able to satisfy consumer's desires. Knitwear preference of knitwear the U.S. respondents was shown highly, and buying intention of them was also high, not only for sweaters and t-shirts but for pants, skirts, jackets, coats, and dresses as well. Knitwear information the U.S. respondents considered important, was not only purchasing experience but also shop display and magazine advertisements. By evaluating criteria of knitwear, the U.S. respondents considered good fit, design, color, and comfort important, and they didn't consider the country of origin important. By store attributes of knitwear, the U.S. respondents specially considered the display, variety, price level, and sale frequency of merchandise. The respondents of China was shown higher than them of Korea in the intention of all items. Knitwear information the China respondents considered important, was not only purchasing experience but also shop advertisements of Newspaper and magazine and fashion articles in Newspaper and magazine. By evaluating criteria of knitwear, the China respondents considered good fit, design, color, and comfort important, and they considered fiber content and the country of origin higher than the respondents of U.S. By Store attributes of knitwear, the China respondents specially considered product knowledge and friendliness of sales personnel, Layaway payment plan, Brand names, New Fashion, and Dressing Facilities higher than the respondents of U.S. or Korea.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.3
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• pp.465-479
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• 2016

Some groups do ethical activities (such as ethical slogan t-shirt campaigns) only to complete the requirements for ethical duty; consequently, some people question the effectiveness of those products. The attributes of ethical slogan t-shirts should be considered seriously to reduce skepticism when planning a campaign. Researchers can also suggest a new purpose for ethical t-shirts using an ethical message. In study 1, we conduct a conjoint analysis that suggests realistic multi-attribute choice decisions. The suggested multi-attributes wear design aesthetic (high/low), price (high/low), where we donate (close/far), and the size of firm (big/small). In addition, participations were divided into two groups according to eco-friendly attitudes to confirm differences in choices between two groups. Study 1 showed that price is the most important attribute, but design aesthetic also remains important. In addition, a group that has a high eco-friendly attitude thought "where we donate" was more important than other groups. In study 2, a pre-post approach investigated wearers' attitude changes. We also divided participants into two groups and one group wear high level design aesthetic t-shirts (and vice-versa) to measure the attitude change difference. As a result of study 2, the wearers partially changed their eco-friendly attitudes. The group that wore high design aesthetic t-shirts showed a greater difference than other groups. Through this study, we conclude that customers seriously considered the design aesthetic. Finally, wearing ethical slogan t-shirts can change the attitudes of wearers.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.7 s.155
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• pp.1066-1077
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• 2006

The purpose of this study was to investigate the effect of store attributes, purchasing experience, clothing product evaluation and store trust on store loyalty of discount store. With convenience sampling, the research was surveyed to women who have bought apparels at the discount store. The 374 responses were analyzed by frequency analysis, factor analysis, reliability test, t-test and hierarchical regression analysis. The results were as follows. First, the clothing product evaluation was significantly affected by the variety of products, reliable advertisement, good display, convenient store location, purchasing cost and buying experience of PB apparel. Second, the trust of discount store was significantly affected by store attributes, purchasing experience and clothing product evaluation. Third, the discount store loyalty was analyzed as fashion store loyalty. The store loyalty was affected by purchasing experience and clothing product evaluation. Fourth, the clothing product evaluation and store loyalty were appeared high by people who had bought PB, PNB and trendy apparels.

• Fashion & Textile Research Journal
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• v.14 no.3
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• pp.400-412
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• 2012

This study explores the characteristics and effects of a pop-up store based on how the store attributions of a pop-up store influence brand attitude and brand patronage intention. The questionnaire consisted of 3 instruments: store attributes, brand attitude, and brand revisiting intention. Data were analyzed by factor analysis, frequency analysis, reliability analysis, and multiple regressions, using SPSS 18.0. We surveyed 123 males and females, who had an experience of a pop-up store, and interviewed five experts who work in the fashion related area. The results of this study were as follows. First, it was shown that VMD has positive impacts on brand patronage intention, but with no significant relationship to brand attitude. Second, a brand culture's experience of a pop-up store has a strong influence on brand attitude and brand patronage intention. Third, products in the store are the most important factors that influence brand attitude. The findings indicate that the promotion of diverse attributes of apop-up store is critical to make customers perceive brand attitude and brand patronage intention that are expected to be used to establish advanced marketing strategies.

• Fashion & Textile Research Journal
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• v.18 no.1
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• pp.48-62
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• 2016

Consumers have come to demand high quality, affordable prices, and innovative product designs of the outdoor wear market due to their well-being and leisure oriented lifestyle. A new system of business in outdoor wear has emerged in the process through which corporations have endeavored to satisfy such consumer needs. Outdoor wear brands have utilized social network services (SNS) such as Facebook and Twitter as means of marketing and have built close relations with consumers based on communication through these media. Recently, explosively escalating SNS data are referred to as social big data, and now that every consumer online is a commentator, reviewer, and publisher, the outdoor wear market and all of its brands have to stop talking and start listening to how they are perceived. Therefore, this study employs Social $Metrics^{TM}$, a social big data analysis solution by Daumsoft, Inc., to verify changes in the allusions related to outdoor wear market found on SNS. This study aims to identify changes in consumer perceptions of outdoor wear based on changes in outdoor wear search words and trends in positive and negative public opinion found in SNS social big data. In addition, products of interest, the major brands mentioned, the attributes taken into consideration during purchases of products, and consumers' psychology were categorized and analyzed by means of keywords related to outdoor wear brands found on SNS. The results of this study will provide fundamental resources for outdoor wear brands' market entry and brand strategy implementation in the future.