• Information Systems Review
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• v.8 no.2
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• pp.155-172
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• 2006

The importance and meaning of smell/taste information on online shopping are studied. The first hypothesis deals with this issue directly. We measure the perceived quality and purchase intention at the context of online shopping with/without smell and taste information. As expected, subjects show higher perceived quality/stronger purchase intention of a bar soap and vitamin C product when smell and taste information are provided. Following Peck and Childers(2003), the moderating effects of Need for Smell and Need for Taste are tested at the second hypothesis. Subjects with High in Need for Smell/Touch show stronger responses in terms of perceived quality and purchase intention. The level of trust about the online shopping mall provides interesting results. When the trust level of the online shopping mall is low, the smell/taste information play more important roles in improving the perceived quality and purchase intention. Subjects at the not-so-trusted shopping mall context result in higher perceived quality and purchase intention if perceptual information is provided. One of the theoretical contributions of this study includes the identification of critical information in online purchase decision making-smell and taste. On top of vision and hearing information, smell and taste information also can play critical roles when consumers do online shopping even at the shopping malls of low trust. In addition, managerial implications are provided.

• Culinary science and hospitality research
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• v.21 no.6
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• pp.76-90
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• 2015

This study investigated the effects of online shopping malls' HMR selection attributes upon satisfaction and repurchase intention. Study subjects were Busan residents from whome 252 valid questionnaire responses were collected and used for analysis. The study conducted afrequency analysis to explain demographic characteristics using SPSS 18.0. Other anaylses were perfromed in order to investigate the effects of online shopping mall HMR selection attributes upon satisfaction and repurchase intention. The findings revealed that convenience, package brands, palatability, price and food quality appropriateness exhibited a significant influence, although food quality did not have a significant influence on customer satisfaction. In addition, customer satisfaction had a significant influence upon repurchase intention. Therefore, a high added value brand with high quality packing and design is thought to be more important than inexpensive price and low quality.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1231-1238
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• 2021

Recently, large online shopping malls are providing image search services as well as text or category searches. However, in the case of an image search service, there is a problem in that the search service cannot be used in the absence of an image. This paper describes the development of a system that allows users to find the clothes they want through hand-drawn images of the style of clothes when they search for clothes in an online clothing shopping mall. The hand-drawing data drawn by the user increases the accuracy of matching through neural network learning, and enables matching of clothes using various object detection algorithms. This is expected to increase customer satisfaction with online shopping by allowing users to quickly search for clothing they are looking for.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.442-444
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• 2002

인터넷의 비약적인 발전과 더불어, 인터넷을 활용한 각종 온라인 서비스가 활성화되어 가고 있는 추세이다. 온라인 쇼핑몰, 온라인 뱅킹과 같은 전자 상거래 서비스는 이용자와 서비스 제공자간의 상호 신뢰를 기반으로 동작해야만 하는 서비스이다. 해당 서비스에 대한 적합한 사용자를 인증하고 인가하기 위한 다양한 인증 프로토콜(EKE, S/KEY, Kerberos 등)에 대한 다양한 연구가 진행되어 오고 있다. 본 논문에서는 FDR, Casper과 같은 보안 프로토콜 분석 및 검증 도구를 이용하여 SSH 프로토콜의 위험성을 분석하여 보안 프로토콜의 안전성을 향상시키고자 한다.

• 한국IT서비스학회:학술대회논문집
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• 2009.11a
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• pp.279-284
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• 2009

본 연구는 최근 사회적 이슈가 되고 있는 기부활동이 온라인상에서 어떻게 진행되고 있는지 알아보기 위해 국내 온라인 모금 사이트를 조사 분석하였다. 이 연구에서는 온라인을 이용한 다양한 방법의 모금활동들을 분류하고 정의함 으로, 온라인 모금의 유형 분류와 각 유형의 장단점을 파악하였다. 그 결과 온라인 모금의 유형을 기존홈페이지를 활용한 회원 모집 채널을 확장한 '모금기관홈페이지', 온라인 모금을 위한 전용 컨텐츠를 제작한 '모금전용사이트', 개인 홈페이지, 블로그 등에 달 수 있는 아이콘 배너 소스를 제공하여 이를 통한 홍보 및 회원을 개발하는 '아이콘 배너 공유', 기부 인프라를 갖춘 기부 포탈과의 제휴, 쇼핑몰, 은행, 카드사 등의 마일리지 제휴, 핸드폰을 이용한 모바일 제휴 등으로 분류하였다. 그 밖의 후원 상품으로 등록된 제품 판매 시 일정 수익을 연계기관으로 후원하는 '후원쇼핑', 기업과 모금기관이 공동으로 실행하는 '공동 캠페인', 메일을 통한 모금 요청하는 '메일링'등의 온라인 모금 유형들이 있었다. 이를 통해 기존의 비영리 기관들과 향후 온라인 모금을 진행 할 비영리 기관들에게 온라인 모금 활동에 시사점을 제시하였고, 향후 진행 발전될 온라인모금 활동의 가능성과 보완 사항 등 시사점을 제시하였다.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.23-38
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• 2012

There is a large difference between purchasing patterns in an online shopping mall and in an offline market. This difference may be caused mainly by the difference in accessibility of online and offline markets. It means that an interval between the initial purchasing decision and its realization appears to be relatively short in an online shopping mall, because a customer can make an order immediately. Because of the short interval between a purchasing decision and its realization, an online shopping mall transaction usually contains fewer items than that of an offline market. In an offline market, customers usually keep some items in mind and buy them all at once a few days after deciding to buy them, instead of buying each item individually and immediately. On the contrary, more than 70% of online shopping mall transactions contain only one item. This statistic implies that traditional data mining techniques cannot be directly applied to online market analysis, because hardly any association rules can survive with an acceptable level of Support because of too many Null Transactions. Most market basket analyses on online shopping mall transactions, therefore, have been performed by expanding the co-occurrence criteria of traditional association rule mining. While the traditional co-occurrence criteria defines items purchased in one transaction as concurrently purchased items, the expanded co-occurrence criteria regards items purchased by a customer during some predefined period (e.g., a day) as concurrently purchased items. In studies using expanded co-occurrence criteria, however, the criteria has been defined arbitrarily by researchers without any theoretical grounds or agreement. The lack of clear grounds of adopting a certain co-occurrence criteria degrades the reliability of the analytical results. Moreover, it is hard to derive new meaningful findings by combining the outcomes of previous individual studies. In this paper, we attempt to compare expanded co-occurrence criteria and propose a guideline for selecting an appropriate one. First of all, we compare the accuracy of association rules discovered according to various co-occurrence criteria. By doing this experiment we expect that we can provide a guideline for selecting appropriate co-occurrence criteria that corresponds to the purpose of the analysis. Additionally, we will perform similar experiments with several groups of customers that are segmented by each customer's average duration between orders. By this experiment, we attempt to discover the relationship between the optimal co-occurrence criteria and the customer's average duration between orders. Finally, by a series of experiments, we expect that we can provide basic guidelines for developing customized recommendation systems. Our experiments use a real dataset acquired from one of the largest internet shopping malls in Korea. We use 66,278 transactions of 3,847 customers conducted during the last two years. Overall results show that the accuracy of association rules of frequent shoppers (whose average duration between orders is relatively short) is higher than that of causal shoppers. In addition we discover that with frequent shoppers, the accuracy of association rules appears very high when the co-occurrence criteria of the training set corresponds to the validation set (i.e., target set). It implies that the co-occurrence criteria of frequent shoppers should be set according to the application purpose period. For example, an analyzer should use a day as a co-occurrence criterion if he/she wants to offer a coupon valid only for a day to potential customers who will use the coupon. On the contrary, an analyzer should use a month as a co-occurrence criterion if he/she wants to publish a coupon book that can be used for a month. In the case of causal shoppers, the accuracy of association rules appears to not be affected by the period of the application purposes. The accuracy of the causal shoppers' association rules becomes higher when the longer co-occurrence criterion has been adopted. It implies that an analyzer has to set the co-occurrence criterion for as long as possible, regardless of the application purpose period.

• 베이커리
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• no.4 s.381
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• pp.124-128
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• 2000

• The Monthly Technology and Standards
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• s.71
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• pp.45-48
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• 2007

• The Journal of Information Systems
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• v.20 no.1
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• pp.21-40
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• 2011

웹이라는 환경은 다양한 정보원천을 생성해냈고, 온라인 소비자는 시간과 노력의 비용을 줄여 보다 합리적인 의사결정을 하기 위하여 웹 정보탐색을 한다. 특히 인터넷 환경은 정보를 획득하는 비용을 낮춤으로써 유용한 정보원천의 역할을 수행하고 있다(Bakos, 1997; Bar-Ilan, 2001). 그러나 너무 많은 정보는 오히려 소비자들의 의사결정을 방해할 수 있는데, 이때 소비자들은 정보원천에 대한 인지경향, 즉 신념수준을 가지고 자신에게 필요한 정보를 취사선택하게 된다(Schuman and Johnson, 1976). 이러한 관점에서 온라인상에서의 구매의사결정과 관련해서 주요하게 참조되는 정보원천을 파악하는 것은 의미있는 일이라 할 수 있다. 이에 본 연구에서는 사전조사를 통해 온라인 주요 정보원천으로 온라인 구매경험, 온라인 구전정보, 판매자 정보를 도출하였다. 그리고 이러한 정보원천이 제품만족, 정보만족에 미치는 영향관계를 알아보고, 이어서 정보만족과 제품만족이 인터넷 쇼핑몰에 대한 소비자의 전반적인 만족에 미치는 영향을 살펴보았다. 분석결과, 온라인 정보원천의 모든 변수들이 정보만족에 유의한 영향관계를 갖는 것으로 나타났으며, 제품만족과의 관계에서는 판매자 제공정보가 유의하지 않게 나타났다. 또한 정보만족과 제품만족 모두 소비자의 전반적인 만족에 유의한 영향을 미치는 것으로 나타났다. 이와 같은 결과는 온라인상에서의 정보의 중요성을 입증하는 것으로, 온라인 소비자의 정보원천에 대한 이용과 평가를 이해하는데 새로운 시각을 제공해주고, 정보원천에 대한 관리와 활용에 관한 실무적 시사점을 제시해 줄 것으로 기대된다.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.428-439
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• 2016

It becomes undeniable trends that offline shopping stores operate their own online shopping stores too. The multi-channel shopping stores like this allow consumers to have much choices to shop from either offline channel or online channel. This trend, however, also opens new research issues. Especially, we have found from literature survey that a new research model is necessary for more in-depth study of the consumer behavior analysis in the multi-channel trends like this, where those constructs such as offline trust, uncertainty, switching cost, and individual negative emotion are considered. It is noted, especially in the multi-channel environments, that uncertainty and switching cost need to be considered, and that individual tends to feel negative emotion much more. By relying on 406 valid questionnaires, we obtained empirical results such that switching cost and offline trust have a positive effect on continuance intention, and uncertainty tends to increase switching cost. Individual negative emotion also affects continuance intention significantly.