• Proceedings of the Costume Culture Conference
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• 2003.09a
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• pp.55-58
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• 2003

21세기 국제화 시대라고 불리는 현 사회는 다양한 기술 산업의 발달로 인하여 정보통신 기술의 시대로 접어든지 오래 되었고 소비자의 구매 방식 또한 많은 변화가 있었다. 소비자들은 이제 전자상거래(e-business)라는 방식으로 소비자 개개인의 니드(need)에 맞는 다양한 제품을 검색하고 주문하는 글로벌 마켓을 형성하고 있다. 시장 및 경쟁의 세계화와 고객 요구의 다변화로 대변되는 21세기 경영환경 하에서 대부분의 의류/패션업체들은 경쟁력의 우위를 점하기 위해 on-line사업으로 뛰어든지 이미 오래다. (중략)

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.459-460
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• 2023

기존의 추천시스템은 상품간 혹은 사용자 간의 유사도를 기반으로 작동한다. 하지만 이는 사용자가 유사한 상품 추천 속에 갇히게 되는 필터 버블의 문제와 추천시스템의 고질적인 문제인 데이터 희소성 문제를 피할 수 없게 된다. 따라서 본 연구에서는 사용자의 취향과 체형 정보를 반영하여 사용자의 평점을 예측하는 협업 필터링 기반 딥러닝 추천과 상품간 비유사성을 고려하여 사용자의 평점을 예측하는 내용 기반 추천을 혼합한 하이브리드 추천 모델을 구축하여 기존 추천시스템의 문제점을 해결하였다. 모델의 성능평가를 위해 인터넷 의류 쇼핑몰을 대상으로 유사한 이미지를 활용한 하이브리드 추천 모델과 NDCG 값을 비교하였고 유사도가 낮은 이미지를 활용한 모델이 더 우수한 성능을 보였다. 이는 다른 제품과는 달리 소비자가 의류를 구매할 경우 이미 구매한 상품과 유사한 상품보다는 유사하지 않은 상품을 구매할 가능성이 크다는 것을 보여준다.

• Fashion & Textile Research Journal
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• v.15 no.4
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• pp.543-553
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• 2013

This study analyzes the influence of price, product and promotion on clothing impulse buying according to internet shopping mall type. This study conducted a survey of 346 male and female consumers in their 20s-40s who have experienced clothing impulse buying from an internet shopping mall. Respondents were selected using convenience sampling through an online survey conducted in August 2012. For statistical analysis, descriptive statistics, reliability analysis, $X^2$-test, factor analysis, and regression analysis where carried out using SPSS for Windows 12.0. The results were as follows. First, there were significant differences for consumer gender, age, marital status, and education on clothing impulse buying according to shopping mall type. Second, there were differences for the influence of each component (price, product and promotion) on clothing impulse buying according to shopping mall type. Third, it was identified that influence of components (price, product and promotion) on clothing impulse buying were in the following order: low price, freshness, prize promotion, scarcity, open market price discount, prize promotion, freshness, fashionability, low price in general shopping malls, payment term benefit, freshness, and scarcity in fashion SOHO shopping malls. This study provides information for consumer management and promotion strategies according to each shopping mall type by understanding clothing impulse buying by consumers and factors according to shopping mall type.

• Journal of the Korean Home Economics Association
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• v.40 no.4
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• pp.27-44
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• 2002

The purposes of this study were 1) to identify predictors of consumers′ apparel purchase on Internet shopping malls and 2) to determine reasons that respondents didn\`t have purchase intention of apparel on Internet shopping malls. The data were collected via a self-administered questionnaire from 204 male and female students who experienced shopping for apparel on Internet shopping malls, living in Cheju and analyzed by factor analysis, multiple regression analysis, t-test and paired t-test. Two predictors were found regarding purchase of apparel on the "big box" Internet shopping malls which sells various product categories; apparel quality and fun of order process. On the speciality Internet shopping malls which sells only fashion goods, diverse apparel assortment and easy handling and fun of information search were identified as predictors of apparel purchase. Reasons that respondents didn′t have purchase intention of apparel on Internet shopping malls were summarized and labeled as: difficulty of decision making due to virtual shopping environment, insufficiency of diverse apparels, users′ unease handling, risk of incredible apparel quality, unfamiliarity of Internet shopping and risks of unsecurity. Difficulty of decision making due to virtual shopping environment was determined as the most important factor of reasons that respondents didn′t have purchase intention of apparels in website.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.1
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• pp.87-96
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• 2014

E-shopping is traditional method to purchase products in a modern society. Fashion products are one of the most popular product categories sold and impulsively bought online. This study examined the causal relationship of shopping value, positive emotion, urge to buy impulsively, and e-impulse buying in the context of shopping for apparel products. A self-administered questionnaire developed from the literature was administered in class to 501 female college students in Busan. AMOS 21.0 estimated the structural equation model of e-impulse buying using a correlation matrix with a maximum likelihood. The analysis of the data supported most of the predictions. The results suggested that consumer shopping values (hedonic shopping value and utilitarian shopping value) had a positive effect on positive emotion; in addition, positive emotion urge to buy impulsively directly affected the e-impulse buying of apparel products. In the structural model, e-impulse buying of consumers can be predicted by the attitudinal component (e.g., shopping values), emotional factors (e.g., enthusiastic or proud), and the urge to buy impulsively felt by young consumers. There are implications that both positive emotion and impulsive buying are important predictors for the e-impulse buying of apparel products by consumers. Moreover, the urge to buy impulsively was an important mediator to determine the e-impulse buying of apparel products. This study provides insight to retailers and researchers to understand the structural relationship of consumer characteristics and the e-impulse buying of apparel products.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.11
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• pp.1669-1679
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• 2008

This study examined what differences were shown in the types of impulsive buying according to consumers' viewing circumstance, previous purchasing experience, and demographic factors on CATV home-shopping. For this study, data were obtained from adult women in twenties to fifties who have frequently viewed CATV home-shopping. The questionnaire was composed of three sections; characteristics of home-shopping usage, behaviors of impulsive buying and demographic factors. Data from 403 questionnaires were used for the statistical analysis. The results of this study were as following. First, four factors of impulsive buying types were identified. Second, differences in impulsive buying according to viewing circumstance of TV home-shopping were significant. New products were easily accepted by consumers who were reminded of previous needs with more viewing time and frequent viewing chances. Also, differences in impulsive buying according to the reason of viewing were meaningful only for the 'reminder impulsive buying. Third, consumers with more previous purchase experiences had higher reminder impulsive buying on home-shopping. Fourth, there were significant differences in age and marital status according to impulsive buying. The biggest difference was shown in the 'planned impulsive buying' corresponding to age and in the 'reminder impulsive buying' to marital status.

• Korean Journal of Human Ecology
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• v.12 no.4
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• pp.497-508
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• 2003

This research was conducted to activate the horne shopping by providing the basic data about demographic characteristics, purchase practices and satisfaction degree of women consumers. The subjects were 328 women consumers residing in Cheongju who had purchased apparel products through home shopping. Collected data were analyzed by frequency analysis, t-test, analysis of variance, and cross-tabulation analysis using SPSS. The results were as follows: 1) When purchasing formal wears, casual wear and furnishing textile products through home shopping, respondents considered the design and fiber content seriously, and when purchasing underwear, the fiber content and size. 2) When purchasing apparel products, most of respondents confirmed apparel labels, and married women confirmed more than single women did. Among apparel labels, fiber content, care symbol, and size were the items that respondents considered most. 3) The single women managed internet and knew the value of internet in searching information or purchasing apparel products better than married ones. 4) When purchasing apparel products via home shopping, respondents used TV, catalog, and internet in order. 5) Degree of satisfaction for clothing purchased via home shopping was in ordinary level, high for furnishing textile products and low for formal wears.

• Information Systems Review
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• v.18 no.2
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• pp.59-77
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• 2016

Although various recommendation techniques have been applied to the e-commerce market, few studies compare the intent to use these techniques from the customer's perspective. In this paper, we conduct a comparative analysis of customers' intention to use five recommendation techniques widely adapted by online shopping malls and focus on the differences in purchasing electronic goods and apparel products. The recommendation techniques are as follows: best-seller recommendation, merchandiser recommendation, content-based recommendation, collaborative filtering recommendation, and social recommendation. Additionally, we examine which factors influence customer intent to use the recommendation services. Data were collected through a survey administered to 220 e-commerce users with prior experience with recommendation services. Collected data were examined using analysis of variance and regression analysis. Results indicate statistically significant differences in customers' intention to use recommendation services according to the recommendation technique. In particular, the best-seller recommendation technique is preferred when purchasing electronic goods, whereas the content-based recommendation technique is preferred for apparel purchases. Factors such as personal characteristics and personality, purchasing tendency, as well as perception of the product or recommendation service affect a customer's intention to use a recommendation service. However, the influence of these factors varies depending on the recommendation technique. This study provides guidelines for companies to adopt appropriate recommendation techniques according to product categories and personal characteristics of customers.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.5
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• pp.617-627
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• 1998

In marketing reserach, the ultimate goal is to increase predictability of consumer's purchse behavior. However, most of the marketing researchers measure purchase intention rather than behavior assuming that the consumer's purchase behaviors will coincide with their intentions. Lately, there have been many arguments whether purchase intention is meaningful as a determinant or a predictor for purchase behavior. Additionally, many studies reported substantial variations among the 'product categories. The purpose of this study was to find out the relationship between consumer's purchase intention and purchase behavior of apparel products. Two research questions were set up. One was to find out the relationship between the intention and behavior, and the other was to find out the factors affecting the relationship. It was found out that mere intention could neither explain nor predict behavior, and that the factors affecting intenting intention- behavior inconsistency had to be submitted for explanation and prediction. These factors could explain inconsistency between the intention and the behavior. Regression equations in the past researches explained aggregate results, but coludn't explain each consumer's intention-behavior inconsistency. The integration of the specific intention and the affecting factors can increase predictability of each consumer's purchase behavior.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.7
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• pp.1247-1257
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• 2001

The objectives of the study were to examine apparel purchasing behavior in internet shopping malls and the level of perceived risk when internet users purchase online. For this research, 15,000 internet users were given questionaries via E-mail, or special website online. The sum of 1958 questionaries were used for statistical analyses. Using, SAS package, factor analysis, Crobach's ${\alpha}$, t-test, $\chi$$^2$-test, frequency and multi-response analysis were performed. As the results, 19% out of internet users had bought apparel products through internet shopping malls. Men had more purchasing experiences in apparels as well as general products than women. Among apparel products, T-shirts/shirts were purchased the most by internet shoppers. For perceived risks, 6 factors(quality risk, time/convenience risk, size and appearance risk, privacy risk and social/psychological risk) were investigated for this study. The level of perceived risk was lower when people had a purchasing experience in internet shopping mall than when they didn't. The level of perceived risk was lower when people had purchasing intend about apparels than when they didn't. Based on these results, marketing strategies will be suggested.