http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
혁신의 확산 혹은 혼란 - 스마트 의류 잠재적 채택자 관점 -
이규혜 ( Kyu-hye Lee ),주나안 ( Naan Ju ) 복식문화학회 2018 服飾文化硏究 Vol.26 No.2
As the next generation of smartphone and tablet computers, wearable devices are currently being developed and available in market in various forms. Smart clothing is a wearable device that holds the greatest potential for future development but low in market penetration. This study was designed to identify factors that influence adoption and diffusion of smart clothing. In-depth interviews with potential consumers who were knowledgeable about and interested in smart clothing were conducted. A semantic network analysis method was used. The results showed that consumers perceived smart clothing as a garment rather than as a type of wearable device and had a positive perception of smart apparel as more convenient and advanced than functional apparel. At the same time, however, consumers had a negative perception of smart clothing as unnecessary, ugly, and injurious to health. Consumers also worried that wearing smart apparel over long periods of time would negatively impact their health. Factors affecting resistance to smart apparel included low utility, perceived risk, and lack of aesthetic completeness. Usefulness and convenience were factors that affected the acceptance of smart clothing. The innovativeness of the product was more influential than consumer innovativeness in the process of adoption and diffusion of smart clothing.
「겨울왕국2」의 콜라보레이션 패션제품에 대한 소비자 리뷰 - 의미 네트워크와 감성분석 -
최영현,이규혜,Choi, Yeong-Hyeon,Lee, Kyu-Hye 복식문화학회 2020 服飾文化硏究 Vol.28 No.2
This study aimed to analyze the performance of Disney-collaborated fashion lines based on online consumer reviews. To do so, the researchers employed text mining and network analysis to identify key words in the reviews of these products. Blogs, internet cafes, and web documents provided by Naver, Daum, and YoutTube were selected as subjects for the analysis. The analysis period was limited to one year after for the 2019. Data collection and analysis were conducted using Python 3.7, Textom, and NodeXL. The research terms in question were as follows: 'Disney fashion collaboration' and 'Frozen fashion collaboration'. Preliminary survey results indicated that 'Elsa's dress' was the most frequently mentioned term and that the domestic fashion brand Eland Retail was the most active in selling Disney branded clothing through its own brand. The writers of reviews for Disney-collaborated fashion products were primarily mothers with daughters. Their decision to purchase these products was based upon the following factors; price, size, stability of decoration, shipping, laundry, and retailer. The motives for purchasing the product were the positive response of the consumer's child and the satisfaction of the parents due to the child's response. The problems to be solved included insufficient quantity of supply, delay in delivery, expensive price considering the number of times children's clothes are worn, poor glitter decoration, faded color, contamination from laundry, and undesirable smells immediately after the purchase.
최영현 ( Yeong-hyeon Choi ),이규혜 ( Kyu-hye Lee ) 한국의류학회 2020 한국의류학회지 Vol.44 No.2
In 2019, Japan announced trade regulations against Korean products; consequently, the sales of Japanese products in Korea dropped due to a Korean consumers’ boycott. This study measured the Korean consumers’ political consumption behavior toward Japanese fashion products. Unstructured text data from online media sources and consumer posted sources such as blog and SNS were collected. Text mining techniques and semantic network analysis were used to process unstructured data. This study used text mining techniques and semantic network analysis to process data. The results identified boycotting Japanese fashion products and buycotting alternative products and Korean brands due to consumers’ political consumption. Two brand cases were investigated in detail. Online text data before and after the political action were compared and significant changes in consumption as well as emotional expressions were identified. Product related industry sectors were identified in terms of the political consumption of fashion: liquor, automobile and tourism industry sectors were closely linked to the fashion sector in terms of boycotting. More “boycott” and “buycott” fashion brands (reflected in consumer attitudes and feelings) were detected in consumer driven texts than in media driven sources.
보문 : 브랜드-자기 일치성이 아동복 브랜드 태도에 미치는 영향 -아동 이미지, 실제 이미지, 이상적 이미지를 중심으로-
김지연 ( Ji Yeon Kim ),이규혜 ( Kyu Hye Lee ) 한국의류학회 2012 한국의류학회지 Vol.36 No.11
Self-congruency plays an important role in the context of mothers` shopping for children`s clothing be-cause purchasers are inconsistent with users. This study incorporates three dimensions of self- congruencies (congruency between children`s image perceived by their mothers and brand image, congruency between mothers` actual self-image and brand image, and congruency between mothers` ideal self-image and brand image) due to purchaser-user inconsistency in children`s clothing consumption. A total of 574 mothers with children aged 6 to 10 participated in a web-based survey. Descriptive statistical analysis, factor analysis, re-liability analysis and multiple regression analysis were conducted. Self-brand image congruency variables have a different influence on brand attitudes when mothers purchase children`s clothing. Brand attitude is influ-enced positively only when the perceived children`s image coincides with brand image and when mothers` ideal self-image corresponds to brand image. In contrast, mothers` actual self-image and brand image cong-ruence negatively influence brand attitude. Further investigation indicates that there are different effects of dimensions of self-congruency on brand attitude according to the characteristics of mothers and their child-ren. This study suggests that when there is purchaser-user inconsistency, different types of image congruence has to be implemented to assess the impact on brand attitudes.