• Fashion & Textile Research Journal
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• v.17 no.6
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• pp.932-941
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• 2015

An aging population and increasing consumer demand for high-quality and innovative new products are key drivers for growth in the cosmeceutical industry. Cosmeceuticals are defined as products with biologically active ingredients that have a measurable effect on the user. This study explored the effects of shopping orientation and store attributes on impulse buying behavior for cosmeceuticals. We obtained 437 usable questionnaires from university students who had purchased cosmeceutical products. Data analysis was conducted using confirmatory factor analysis and structural equation modeling analysis via AMOS 18.0. The findings were: 1) hedonic shopping orientation and convenience shopping orientation had positive effects on product efficacy and promotion of the cosmeceutical store 2) brand shopping orientation had a positive effects on store atmospheric, skin care service, and brand of the cosmeceuticals store and 3) product efficacy and promotion of store attributes had a direct effect on impulse buying behavior for cosmeceuticals. Consumers who tended to enjoy the shopping to refresh themselves and to experience convenient shopping were likely to purchase cosmeceuticals impulsively, which mediated by the store attributes (product efficacy and promotion). Therefore, we confirmed partly causal relationships among the shopping orientation, store attributes, and impulse buying behavior of cosmeceuticals. Both managerial and theoretical implication for practitioners and researchers were discussed for managing product information more efficiently along with promotion strategies to trigger cosmeceuticals consumers in the context of shopping.

• Proceedings of the Korean DIstribution Association Conference
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• 2001.11b
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• pp.145-163
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• 2001

최근 인터넷 상거래가 급속히 확산되면서 기업의 경쟁이 실물세계와 가상세계에서 발생하는 현상이 전개되고 있다. 즉, 유통경로의 측면에서 볼 때 기존의 물리적 세계에 존재하는 전통적인(오프라인) 유통경로와 사이버공간에 존재하는 가상(온라인) 유통경로가 서로 경쟁하는 형국이 벌어지고 있는 것이다. 유통경로간 경쟁의 중심부에는 고객이 자리잡고 있다. 어떤 경로든 소비자의 욕구를 정확히 파악하고, 이들에게 최상의 유통서비스를 제공하는 경로는 생존·번영할 수 있을 것이다. 사실 현재 진행되고 있는 논의들과 현상들을 볼 때, 어느 한 유통경로가 다른 유통경로를 완전히 대체하는 제로섬 게임의 양상은 나타나고 있지 않다. 즉, 상당기간 두 유통경로는 상호 병존할 것으로 보인다. 본 연구는 이러한 점에 초점을 맞추어 이들 두 경로가 자신들만의 차별화된 경쟁우위를 가지고 생존할 수 있는 마케팅전략을 구상하기 위해 시도되었다. 이러한 전략을 제시하기 위해서는 우선 이들 두 경로상에서 소비자의 구매(쇼핑)행동은 어떻게 다른가에 대한 비교연구가 선행되어야 할 것이다. 본 연구는 온라인 유통경로와 오프라인 유통경로에서 소비자 구매행동의 차이를 비교분석 하는데 그 목적을 두고 있다. 특히 제품유형별로 온라인과 오프라인에서 구매속성중요도가 어떻게 달라지는가를 확인. 검증해 보기 위해 시도되었다. 캐주얼의류, 여행상품, 음악CD를 가지고 인터넷 사용자 500명을 대상으로 온라인조사를 실시한 결과, 온라인과 오프라인에서 구매속성 중요도에는 유의한 차이가 나타났다. 이 결과를 토대로 오프라인 매장과 온라인 매장이 어떻게 차별화해야 하는가에 대한 시사점을 제시하였다.통계적인 차이가 있었다(P<0.05). 계육내 CLAisomer는 1, 2, 3% 급여구에서 각각 12.23, 18.74, 25.67 mg/g으로 처리구간에 현저한 차이를 보였다(P<0.05). 본 연구의 결과 CLA의 급여는 SBO와 CT에 비하여 증체량을 개선하고 혈중HDL을 높여주는 경향을 보였지만 ND항체가는 개선되지 못하였다.으며, 그 효과는 농도에 의존적이었다, 고콜레스테롤 투여군(HC)의 분변 중 총 지질과 중성지방 농도는 정상대조군(C)에 비해 다소 높았고, 총 콜레스테롤의 경우는 유의적으로 높게 나타났다. 그러나 뽕잎첨가군(HC5M과 HC10M)의 총 지질, 중성지방 및 콜레스테롤 농도는 콜레스테롤 투여군(HC)에 비해 분변으로 배설량이 증가하는 현상을 보였다. 이상의 결과를 살펴보면 뽕잎 분말은 고콜레스테롤식이를 섭취하는 경우 혈청과 간장의 지질수준은 떨어뜨리고, 분변중 지질배설량을 상승시키는 효과가 현저한 것으로 보인다.둘째. 1990년대 한국과 미국 패션시장의 가격과 품질간의 상관계수의 범위는 제품군별. 산업범주별 로 상이한 분포를 보이고 있었다. 패션제품군별로 보 면, 한국의 경우는 가장 높은 '여행용가방(r = 0.707)' 에서 가장 낮은 '자외선 차단화장품(r = -0.58)'까지, 그리고 미국 패션제품군의 상관계수의 범위는 '팬티 스타킹'의 0.820에서 '남성용 런닝슈즈'의 -0.472까지의 분포를 나타냈다. 마지막으로, 제품의 가격과 품질에 대한 정보를 소비자가 알 경우 얻을 수 있는 소비자의 구매이득 을 추산한 결과 패션제품시장에서 완전한 품질정보를 가지고 있다고 가정한 '현명한 사람'은, 최고가격의 제품만을

• Fashion & Textile Research Journal
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• v.17 no.1
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• pp.116-126
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• 2015

This paper compared the properties of cosmetics depending on the shopping tendency of female consumers in Korea and China. The data on Chinese women living in Korea and Korean women in their 20s was collected using an offline survey. The data on Chinese women living in China in their 20s was collected using an online survey. Three hundred twenty-seven questionnaires out of a total of 330 questionnaires were used for statistical analysis. The survey was conducted from January to February 2014. Eighteen questions on shopping tendency and eight questions on the properties of cosmetics were analyzed using a 5-point Likert scale. Data was analyzed by Descriptives, Factor Analysis, Reliability Analysis, ANOVA and Cluster Analysis, and SPSS 21 statistical program. In accordance with the analyses, the shopping tendency comprised a showing-off tendency, pleasure-seeking tendency, and practicality tendency; the properties of cosmetics were classified into conformity and functionality. On the basis of the elements in the shopping tendency, the female consumers were categorized into a low involvement consumer group, high involvement consumer group, and hedonic consumer group. The Chinese women emphasized conformity or functionality of cosmetics more than the Korean women regardless of the countries where they lived. Regardless of shopping types or countries where they lived, the Korean and Chinese women in their 20s emphasized functionality over conformity of cosmetics. Furthermore, Chinese women living in Korea showed a similar shopping tendency to Chinese living in China.

• Fashion & Textile Research Journal
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• v.11 no.2
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• pp.252-261
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• 2009

The purpose of this study was to investigate the influence of female university students' cosmetic purchase motivation on cosmetic attribute evaluation and brand repurchase intention. Questionnaires data of 202 female university students who had purchase experience of cosmetic product in recent 6 months through off-line were analyzed. The results are as follows. First, situational purchase motivation had a positive impact on extrinsic and economic attributes. Second, intrinsic purchase motivation had a positive impact on extrinsic, utilitarian, aesthetic, and economic attributes. Third, hedonic purchase motivation had a positive impact on extrinsic attribute. Fourth, aesthetic attribute had a positive influence on brand repurchase intention and extrinsic attribute had a negative effect on brand repurchase intention. Therefore, when cosmetic companies dealing with female university students' cosmetic product establish marketing strategies, they need to pay attention to aesthetic attribute evaluation and intrinsic purchase motivation to highten their brand loyalty.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.399-407
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• 2018

The influence of SNS platform in the mobile environment has grown greatly. Among the various social networking services(SNS), this study analyzed the question of 311 women to investigate whether any difference exists between reliability of contents information, informativeness and playfulness as well as how attributes of contents information influence user attitude depending on the difference in type of providing information provided by "Innisfree" Cosmetics, the company account of Instagram. According to analysis, first, no difference exists between reliability of contents information, informativeness and playfulness depending on the type of providing information. Second, reliability and the playfulness of contents information influence purchase intention. Third, contents information "informativeness" and "playfulness" influence loyalty. Fourth, the "informativeness" and "playfulness" of contents information influence User Satisfaction. Considering such result, it is confirmed that the type of providing information provided by company does not influence account attributes and the "playfulness" of contents information is significant factor which influences all user attitude.

• Journal of the Korean Society of Costume
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• v.64 no.1
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• pp.77-88
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• 2014

This study examined the cosmetic store attributes that japanese tourists evaluated when purchasing cosmetics in korean cosmetic stores and the effect of those attributes on satisfaction, repurchase intention and recommendation intention. The subjects of this study were 250 Japanese female tourists who had purchase experiences of Korean cosmetics in the stores. Data analysis was conducted using factor analysis, regression analysis, and ANOVA using SPSS 15.0. The result of this study was as follows: First, cosmetic store attributes for Japanese tourists were composed of four factors such as products, store's atmosphere, salesperson and sales promotion. Second, it was shown that the salesperson and store atmosphere attributes have positive effect on cosmetic store satisfaction. Third, it was shown that store satisfaction had a positive effect on both repurchase intention and recommendation intention. Fourth, Japanese tourists' satisfaction on cosmetic store depends on the frequency of visiting Korea, and preference of the Korean Wave.

• Journal of Information Technology and Architecture
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• v.11 no.2
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• pp.201-216
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• 2014

The internet and the information-oriented communities have brought many changes to increase brand power and product sales in many industries. This study investigates the influence of brand preference and information reliability on consumers' purchase decisions. If product information at the internet advertising matches with consumers' previous brand preference, they are more likely to enhance product information reliability after watching the advertising. Such brand preference match through the advertising will increase consumers' intention to purchase. From the results of our experiment, we found that information reliability and memory from the advertising give a positive impact on the intention to purchase when consumers' previous brand preference matches with advertising attributes. Our study suggests that firms need to develop the internet advertising which is closely matched with consumers' preferences.

• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.193-200
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• 2014

Due to the advent of ubiquitous computing environment, it is becoming a part of our common life style. And tremendous information is cumulated rapidly. In these trends, it is becoming a very important technology to find out exact information in a large data to present users. Collaborative filtering is the method based on other users' preferences, can not only reflect exact attributes of user but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. In this paper, we propose clustering method by user's features based on SOM for predicting purchase pattern in u-Commerce. it is necessary for us to make the cluster with similarity by user's features to be able to reflect attributes of the customer information in order to find the items with same propensity in the cluster rapidly. The proposed makes the task of clustering to apply the variable of featured vector for the user's information and RFM factors based on purchase history data. To verify improved performance of proposing system, we make experiments with dataset collected in a cosmetic internet shopping mall.

• Journal of the Korean Applied Science and Technology
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• v.41 no.2
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• pp.436-446
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• 2024

This study contemplates the effect of social media advertising attributes on consumers' purchasing decisions in cosmetic products. It will serve as basic data for SNS's advertising strategy and marketing that promotes cosmetics sales. This study conducted a survey and went through the analysis process of SPSS v.25.0 statistical program. Frequency analysis, exploratory factor analysis, descriptive statistical analysis, correlation analysis, and regression analysis were conducted to analyze that informativity, reliability, entertainment, interactivity, and disturbance among SNS advertising attributes were used as effective advertising strategies, which had a positive effect on consumers' purchasing decisions. Therefore, in the cosmetics industry, it is necessary to seek strategies to actively utilize marketing in the social media space to promote consumers' purchase needs and to activate purchases.

• The Korean Journal of Applied Statistics
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• v.36 no.6
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• pp.515-528
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• 2023

With the growth of the e-commerce market, consumers increasingly rely on user reviews to make purchasing decisions. Consequently, researchers are actively conducting studies to effectively analyze these reviews. Among the various methods of sentiment analysis, the aspect-based sentiment analysis approach, which examines user reviews from multiple angles rather than solely relying on simple positive or negative sentiments, is gaining widespread attention. Among the various methodologies for aspect-based sentiment analysis, there is an analysis method using a transformer-based model, which is the latest natural language processing technology. In this paper, we conduct an aspect-based sentiment analysis on multilingual user reviews using two real datasets from the latest natural language processing technology model. Specifically, we use restaurant data from the SemEval 2016 public dataset and multilingual user review data from the cosmetic domain. We compare the performance of transformer-based models for aspect-based sentiment analysis and apply various methodologies to improve their performance. Models using multilingual data are expected to be highly useful in that they can analyze multiple languages in one model without building separate models for each language.