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

• Journal of Global Scholars of Marketing Science
• /
• v.13
• /
• pp.135-158
• /
• 2004

On-line consumers have some visit behavior characteristics when they visit internet-shopping mall between visit-stage and purchase-stage. Therefore, information of on-line consumers have influenced on internet-shopping mall's profitabilities at site manager's perspectives. For examples, Are any on-line consumers continuous visiting under any situations? Or are any on-line consumers purchased on any specific internet-shopping mall? Expecially in this paper, researcher tried to understand visit behavioral characteristics of on-line consumers using two-stage mixture regression analysis. Throughout this process, it could be proposed method, which could be reinforced competitiveness of internet-shopping mall by segmental decision-making method. Additionally, it is expected that visit behavioral characteristics' information could be supplied strategic implications between visit-stage and purchase-stage Throughout empirical test it could be proved two-stage decision-making process, which decision-making process of on-line consumers would be processed visit-stage and purchase-stage. In this study, researcher proposed suitable response strategy after understanding visiting behavioral characteristics of on-line consumers. This paper has some academical contributions, which visit behavioral characteristics of on-line consumers could be grasped the meaning by site stickiness and navigation pattern.

• The KIPS Transactions:PartD
• /
• v.11D no.5
• /
• pp.1189-1196
• /
• 2004

It is a major concern of e-shopping mall managers to satisfy a variety of customer's desire by recommending a proper product to the perspective purchaser. Customer information like customer's fondness, age, gender, etc. in shopping has not been used effectively for the customers or the suppliers. Conventionally, e-shopping mall managers have recommended specific items of products to their customers without considering thoroughly in a customer point of view. This study introduces the ways of a choosing and recommending of products using case-based reasoning and rule-based reasoning for customer themselves or others. A similarity measure between one member's idiosyncrasy and the other members' is developed based on the rule base and the case base. The case base is improved for the system intelligence by recognizing and learning the changes of customer's desire and shopping trend.

• Journal of Korea Technology Innovation Society
• /
• v.2 no.2
• /
• pp.187-200
• /
• 1999

전자상거래는 유통업의 형태를 바꿀 정도로 엄청난 기술혁신이지만, 적어도 앞으로 상당기간, 산업적인 성과는 기대이상으로 그렇게 커 보이지 않는다. 기술혁신이 분명 존재하였건만 이 효과를 가로막는 다른 한계들이 있기 때문이다. 바로 이러한 한계가 무엇인가를 보다 집중적으로 분석하고자 한 것이 본고의 목적이다. 이는 전자상거래가 어떻게 하면 성공할 것인가를 살펴보는 것과도 일맥 상통한 것이다. 본고는 종전의 전자상거래 분석 관점과는 달리 유통 전문가적인 시각을 견지한다. 유통 전문가적인 시각이란 유통업적인 관점이고 유통업체를 바탕으로 한 관점이다. 유통업적인 입장을 강조하기 위해 본고는 먼저 점포도 불필요하고 인건비나 관리비를 절감할 수 있다는 전자상거래가 오히려 전통상거래보다 비싸다는 점에서 출발한다. 그리고 매입의 문제, 택배비용의 문제, 거래의 신뢰성 문제, 시장기반의 문제 등이 있다는 점을 지적한다.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 1999.05a
• /
• pp.33-45
• /
• 1999

국내의 전자상거래 시장의 성장속도는 무척 빠르다. 그러나 이를 뒷받침할 수 있는 인프라 등의 구축도 매우 중요하다. 따라서 본고에서는 전자상거래의 성장이 어떠한 방향으로 흘러갈 것이며, 이러한 전개패턴이 결국 전자상거래, 즉 인터넷 쇼핑몰의 적정한 모형설정 및 경쟁력 강화 방안으로 연결시킬 수 있을까가 매우 중요하다. 따라서 본고의 세 가지 이슈, 즉 전자상거래의 유형문제, 택배시스템 구축의 문제, 마지막으로 유통구조의 문제로 나눠서 간단하게 요약해보면 다음과 같다. $\bigcirc$미래의 전자상거래의 유형은 유통업형이다. 중개형이나 직판형은 한계를 갖고 있다. $\bigcirc$전자상거래업체의 택배시스템의 전국적인 시스템구축과 공동 배송체계의 도입이다. $\bigcirc$유통구조는 유통단계의 축소가 아니라 매입형태의 개선에서 찾을 수 있다. 즉, 단순중개나 특정매입에서 직매입 체계로의 전환이다.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2004.05a
• /
• pp.151-154
• /
• 2004

TV와 인터넷을 통한 전자상거래가 급증하면서 택배 및 배송시장이 급격하게 성장하고 있으나, 효율적이지 못한 물류체계로 물류비 부담이 높아지고 있어서 실질적인 이익은 시장증가에 미치지 못하고 있다. 현재 전자상거래의 쟁점은 소핑몰의 유형문제와 택배시스템/유통구조의 문제로서 다양한 해결책이 제시되고 있다. 본 연구는 직매입 형태로 마케팅과 직접 배송을 하는 회사를 대상으로 전자상거래의 특징인 촉진적 할인가격을 적용시키면서 기존의 중앙물류센터-지역물류센터-소비자 형태의 유통구조를 중앙물류센터-소비자로 변화시킨 지역물류센터의 일별재고량을 최소화 하는 모델을 제시하여 다단계 유통구조를 개선함으로써 회사의 이익을 증대시킬 수 있도록 하였다.

• The Journal of Society for e-Business Studies
• /
• v.27 no.2
• /
• pp.21-36
• /
• 2022

Recently, as COVID-19 has made the e-commerce market expand widely, customers who have different consumption patterns appear in the market. Because companies can obtain opinions and information of customers from reviews, they increasingly face the requirements of managing customer reviews on online platform. In this study, we analyze customers and carry out market segmentation for classifying and defining type of customers in e-commerce. Specifically, K-means clustering was conducted on customer review data collected from Wemakeprice online shopping platform, which leads to the result that six clusters were derived. Finally, we define the characteristics of each cluster and propose a customer management plan. This paper is possible to be used as materials which identify types of customers and it can reduce the cost of customer management and make a profit for online platforms.

• Proceedings of the Korean Information Science Society Conference
• /
• 2000.10a
• /
• pp.373-375
• /
• 2000

B2B, B2C, B2G, C2C로 구체화된 전자 상거래는 관련 국제 컨소시엄이 구축되고 그 유형에 있어서도 경매, 교환, 직구매, 입찰 등으로 다양해지는 등 이미 차세대 기업 비즈니스 모델로서의 위치를 확고히 하고 있고, 나아가 차별화 된 솔루션으로서 점원이 있는 시장, 실시간 인터넷 대금 납부 등의 서비스들이 국내외적으로 많이 모색되고 있는 실정이다. 본 논문에서는 비교쇼핑 에이전트를 지원하는 B2C 솔루션(ISPA:mIn Seon comparison Agent)을 제안하고 있는데, 비교 쇼핑 에이전트 역시 그러한 노력의 일례로서 이는 동종의 상품을 취급하는 여러 몰 간에도 그 제시 가격이 서로 다른 것에 착안하여 최저가격을 제시하는 사이트를 안내하는 기능을 한다. ISPA는 현 업계에서 웹 기반 시스템의 솔루션으로서 각광 받고 있는 EJB를 플랫폼으로 하며, 각 정보소스에 대한 정보 추출 규칙을 활용해서 온라인으로 비교 정보를 제공하는 종래의 인공지능의 접근과는 달리 J2EE 웹 개발 기술을 이용하여 오프라인으로 비교 정보를 구축하는 웹 기반 시스템으로써 에이전트를 지원한다. 나아가 핵심 클래스인 상품 클래스를 메타 데이터의 부분집합으로써 정의하는 기법을 적용하였는데 이는 개체 지향 패러다임의 시스템 구축 시에 전략적으로 응용될 수 있다.

• Journal of the Korean Data and Information Science Society
• /
• v.20 no.6
• /
• pp.1129-1143
• /
• 2009

This paper proposes a recommendation system (Association Rule System for Targeting) which considers target which is not considered by previous Logistic Regression system, and proves that the efficiency of the recommendation system is better than that of the current and previous Apriori algorithm system. Also this study shows that the click and purchasing rate of the proposed Association Rule System for Targeting is much higher than those of current Apriori algorithm system after the purchasing campaign even though the open rate of the former is lower than that of the latter. In comparison with Logistic Regression methodology, this paper proves with experimental data that the purchasing effect of the proposed system for specific items is much higher in accuracy than that of current Apriori algorithm system even though the purchasing rate of current Apriori algorithm system is higher in whole shopping malls than that of the proposed Association Rule System for Targeting.

• Journal of the Korean Society of Costume
• /
• v.63 no.3
• /
• pp.110-123
• /
• 2013

The purpose of this study is to analyze the first birthday Hanboks on Internet shopping malls and to find the reason why the costume has various types. From April to May 2012, first birthday costumes were sold on 154 Internet shopping mall sites. On 48 of the shopping malls, traditional Hanboks were sold, on 33 of the shopping malls, fusion Hanboks were sold, and on 73 of the shopping malls, Western formal wear was sold. The percentage of the Hanboks and Western costumes for the first birthday was almost the same. Boys costumes in the traditional Hanbok consisted of 'Magoja, Joggi, Jeogori, and Baji" or 'Baeja, Jeogori, and Baji" with Jeonbok or Sagyusam. Boys' headgear consisted of Bokgun and Hogun. Girls' costumes in the traditional Hanbok consisted of 'Jeogori, Chima' or 'Dangui, Chima or Seuranchima'. Girls' headgear was Gulle, Jobawui, and Baessidaenggi. Boys' costumes in the fusion Hanbok consisted of 'Jeogori, Baji, and Wanggunmo' which is different from the traditional Hanbok in materials, colors, and parts of construction. Girls' costumes in the fusion Hanbok could be divided into 3 different types; a modified traditional skirt, Chima, 'Chima and Jeogori" with new materials and colors, and Western dress with traditional materials. The first birthday Hanboks on the Internet shopping malls are simple and convenient compared to the traditional ones. Furthermore, parts of the costumes are influenced by some popular historical dramas. One of the reasons why the costumes have changed is because the customers have few experiences about traditional Korean costumes and their interests have been affected by the modern media.