• The Research Journal of the Costume Culture
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• v.13 no.2 s.55
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• pp.209-220
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• 2005

The purposes of this study were to determine the components of internet shopping value and to identify how those influence on the consumers' internet shopping behavior of apparel products. The data were collected via a self-administered questionnaire from 221 male and female students who have the shopping experiences for apparel products on the internet shopping malls, living in Kyongnam province. Using SPSS 12.0 package, $Cronbach's \alpha$, factor analysis, cluster analysis, ANOVA, Duncan multiple range test and stepwise multiple regression analysis were performed. The results could be summarized as follows; 1) According to the internet shopping values, college student consumers were classified into three groups, utilitarian value shoppers, hedonic value shoppers and low interest shoppers. 2) As a results of the ANOVA among the three groups, significant differences were found in the internet shopping mall attributes and perceived risks. 3) Internet shopping values-hedonic and utilitarian shopping values, internet shopping mall attributes and perceived risks had an significant effect on the attitude and purchasing intention of the internet shopping mall.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.277-279
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• 2000

인터넷 쇼핑몰의 급증으로 각 쇼핑몰은 경쟁적으로 표적판매의 전략으로써 상품 광고나 쇼핑 정보 등을 회원들에게 e-mail로 제공해 주고 있지만 여러 쇼핑몰에 회원으로 가입되어 있는 인터넷 사용자들에게 이런 무분별하고 획일적인 광고는 오히려 번거로운 것일 수 있으며 더욱이 그 내용이 관심 밖의 것일 경우 무가치한 정보 공해에 지나지 않게 된다. 본 논문에서는 등록된 사용자의 프로파일 정보와 학습된 쇼핑패턴을 토대로 그 사용자의 관심도와 쇼핑이 필요한 시기를 예측하여 e-mail로 개인화된 광고 및 추천서비스를 제공하는 비교 쇼핑 시스템을 제안한다. 이를 위해 상품별 구매속성이 반영된 코드를 상품의 ID로 정하여 구매속성별 분류와 검색 및 갱신이 쉽고 정확하게 이루어지도록 하였고 별도의 학습 과정 없이 코드의 검색만으로 선별된 상품을 자동으로 광고와 추천하는 것이 가능하다.

• Journal of Korea Multimedia Society
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• v.12 no.5
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• pp.688-698
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• 2009

The market for Internet fashion/coordination shopping malls has been enormously increased year by year. However, online shoppers feel inconvenient because most of Internet shopping malls still rely on item classifications by category and do not provide the functionality in terms of which shoppers can find clothes they want. In an effort to build a fashion/coordination system for women's dress adopting the Heuristic-based method, one of the Context-based methods, we present a method for defining characteristics of a woman's dress as attributes and their inheritance relations, which can be input by a product manager. We also compare and analyze various methods for recommending the most similar clothes.

• Proceedings of the CALSEC Conference
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• 1999.11a
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• pp.108-116
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• 1999

최근 사이버 쇼핑몰에서 기업과 고객간의 제품 구매 활동을 도와주는 검색 에이전트 시스템에 대한 연구가 활성화되고 있다. 그러나 많은 비교 검색 에이전트 시스템들은 고객이 입력한 키워드 기반의 검색 목록만을 체공하고 있으며, 검색된 유사상품 목록 중에서 어떤 상품이 적합한지 선정해 주는 의사결정지원 기능은 충분히 제공하지 못하고 있다 본 논문에서는 인터넷 쇼핑몰 환경을 기반으로 키워드 입력에 의한 제품 검색뿐만 아니라 고객 선호도가 높은 제품 선정을 지원해 주는 의사결정지원 시스템을 제안한다. 제안한 의사결정지원 시스템은 고객이 입력한 각 속성들의 표준계수와 가중치를 점수화 하여 선호도가 높은 상품을 우선적으로 제시함으로써 고객의 상품 선정을 위한 의사결정을 지원하도록 하였으며, 또한 각 속성별 다양한 반영 비율에 따라 어느 제품이 전체적으로 적합한지를 분석하는 민감도 분석 기능을 추가하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2886-2892
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• 2009

This research focuses on searching primary factors in accessing internet shopping sites. In this research we have derived primary factors such as the order factors, the product factors, and the delivery factors by factor analysis approach. We have done AHP analysis on these derived primary factors. The results of AHP analysis show that the most important factor is the product factors and the most important sub factor among the product factors is the after service factor including guaranteed returns and refunds, and product exchangeability. The next important factor is the incentive provision in which discount coupons, mileage accumulation policies are the main sub factors included.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.05a
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• pp.143-154
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• 2007

인터넷이 대중화대면서 온라인 쇼핑이 가능해졌고 구매자들은 인터넷을 통해 구매와 관련 된 경험, 서비스 등을 다른 사람들과 공유할 수 있게 되었다. 인터넷 쇼핑의 특성상 제품을 직접 눈으로 보고 만져 볼 수 없기 때문에 온라인 구전(Online Word of mouth)이 상품 구매 판단의 잣대로 활용되고 있다. 따라서 본 연구에서는 온라인 쇼핑몰에서 구전 정보 특성이 구매자들의 인지된 구전 정보 가치에 영향을 미치는지 실증적으로 분석하였다. 구전정보의 객관성, 관련성, 신빙성, up-to-dateness는 인지된 구전정보가치 즉 구매 불확실성 감소에 긍정적인 영향을 주었다. 구매 불확실성 감소는 온라인 쇼핑몰의 신뢰에 긍정적인 영향을 미쳤다.

• Management & Information Systems Review
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• v.33 no.5
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• pp.213-232
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• 2014

Sensitivity to online store stimuli (VMD attributes) and response (online store loyalty) may depend upon consumers' regulatory focus (emotional state). In other words, consumers' sensitivity to online store atmosphere and consequent store loyalty can be influenced by the match between their regulatory focus (promotion focused vs. prevention focused) and the type of the online store VMD benefits Study 1 results indicate consumers have a different evaluation about online store atmosphere depending on their regulatory focus. Promotion-focused consumers were significantly more sensitive to visual appeal and entertainment attributes of online store atmospherics than prevention-focused consumers. Conversely, prevention-focused consumers were significantly more sensitive to security and privacy attributes of online store, than promotion-focused consumers. Study 2 results indicate for promotion-focused shoppers, hedonic value toward online store atmosphere was associated with greater online store loyalty. In contrast, prevention-focused shoppers were influenced more by the utilitarian attributes on online store loyalty than promotion-focused shoppers. The current findings indicate that shoppers with promotion-focused are more easily persuaded by visual and entertainment-oriented online store cues. Conversely, shoppers with prevention-focus are more easily persuaded by safety and privacy-oriented online store cues.

• 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 Internet Computing and Services
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• v.6 no.5
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• pp.111-121
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• 2005

As the scale of e-commerce has been increasing, information about products and service become diversified, Most current internet shopping mall. however, provides product information to consumers in collective arrangement. thus they devote a lot of efforts and time to select the product they want, In this paper, as providing consumers convenient interfaces adapting feature inquirer and parallel coordinate, a method for selecting a right product through searching the wanted products easily and comparing their features efficiently has been proposed. To evaluate the efficiency of the method proposed in this paper, several experiments to measure the time spent and the number of clicks of mouse taken in finding the product they want have been conducted. The results verify the effectiveness of the proposed method.

• Journal of the Korean Home Economics Association
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• v.43 no.7 s.209
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• pp.117-128
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• 2005

The purposes of this study were 1) to examine the conceptual structure of shopping value, fashion shopping mall attributes and emotions related to internet shopping, 2) to compare between hedonic consumers and utility consumers of fashion shopping mall attributes, emotions and purchasing intention and 3) to investigate the effects of shopping value, fashion shopping mall attributes, emotions and purchasing intention on purchasing behavior in internet fashion shopping malls. Data were obtained from 423 internet fashion shopping mall consumers who have bought products or visited an internet fashion shopping mall. The data were analyzed by using factor analysis, Cronbach's alpha, t-test and discriminant analysis. The results showed that shopping values perceived by internet fashion shopping mall consumers consisted of two factors: Hedonic value and Utility value. Internet fashion shopping mall attributes were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service and Help desk. Emotions were composed of Excitement Confidence, Displeasure and Uneasiness. There results demonstrated that hedonic consumers were more likely to perceive the factors of fashion shopping mail attributes, to experience various, emotions and to have more purchasing intention than utility consumers. Additionally, the findings suggest that shopping value is important in predicting the purchasing behavior of consumers' at internet fashion shopping malls. They gave insights into the promotion development of internet fashion shopping malls. Implications are drawn for the information useful to consumer behavior researchers and retailers of internet fashion shopping malls.