• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.553-558
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• 2007

본 연구는 인터넷 쇼핑 시 구매의도에 영향을 미치는 요인을 쇼핑가치와 신뢰의 관점에서 접근하였으며, 인터넷 구매 경험이 적은 그룹과 구매 경험이 많은 그룹을 구분하여 그 변화를 실증 분석하였다. 전체 204명의 표본을 구매경험이 적은 그룹(107명)과 구매 경험이 많은 그룹(96명)으로 나누어 PLS(Partial Least Square)를 통하여 분석한 결과 구매경험이 적은 그룹은 신뢰와 태도가 매개가 된 쾌락적 쇼핑가치가 큰 영향을 미치는 반면에 구매경험이 많은 그룹은 효용적 쇼핑 가치가 구매의도에 가장 큰 영향을 미치는 것으로 나타났다.

• Journal of Internet Computing and Services
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• v.3 no.1
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• pp.11-16
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• 2002

Nowday, Cyber shopping mall increased market size. The Consumer Behavior chainged new trend. This study on the systematic access to establishment of the concept of cyber shopping mall as well as to problems to overall parts of EC service as well is required. The objectives of this study are that how service consumers perceive the quality of EC service, and that what effect the quality makes on their satisfaction and re-purchase intention. This means that the research enables a marketing manager to take the meaning of comparative weight among the components of EC service quality, and to provide very useful information to establish marketing strategies which are close to the consumers.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.403-404
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• 2018

최근 모바일 환경의 발달은 손안의 쇼핑을 완벽히 구현하고 있다. 특히, SNS 및 패션커머스의 발전으로 소비자는 자신이 원하는 의류를 간편하게 구매할 수 있다. 하지만, 모델 착용샷, 설명, 사진 및 댓글 등을 통해 판단하고 구입하기 때문에, 의류 특성상 직접 입어보고 판단해야 하는 실 소비자는 만족도가 떨어지고 판매자 입장에서는 반품이 증가하는 현상이 나타나고 있다. 본 논문에서는 소비자의 만족도를 최대한 높일 수 있는 2가지 요소를 감안한 모바일 쇼핑몰을 소개하고자 한다. 첫째, 소비자 체형과 유사한 모델 착용샷을 제공함으로써 구매 당시 소비자의 구매 만족도를 높인다. 둘째, 의류를 구매한 소비자가 자신이 착용한 사진을 쇼핑몰에 올림으로써 모델로써 활동할 수 있는 기능을 제공함으로써 커머스 SNS가 구축되도록 유도한다. 이를 위해 착용샷을 올리는 회원들을 위한 수수료 구조를 효율화하고 판매사, 소비자, 모델들이 활동하는 플랫폼을 구성한다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.258-265
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• 2005

전자상거래의 확산에 따라 인터넷 쇼핑몰에서의 구매활동은 일반적인 현상이 되었다. 그 결과, 유사한 업종이나 업태의 인터넷 쇼핑몰이 범람하게 되었고 업체들 간의 경쟁도 심화되어 차별화된 서비스를 제공하지 않는 업체는 도태되기 쉬운 상황이다. 본 연구에서는 치열한 경쟁환경 하에서 인터넷 쇼핑몰의 차별화된 마케팅 서비스의 수단으로써 이용되고 있는 상품추천시스템의 개선된 모형을 제시하고자 한다. 본 연구에서 제안하는 모형은 전역 최적화 기법 중의 하나인 유전자 알고리즘을 데이터 마이닝의 도구로 활용한 인터넷 쇼핑몰에서의 개인화된 상품추천시스템 모형이다. 유전자 알고리즘은 추출하기가 어려운 소비자의 성향을 데이터를 통해 추출하고 이에 맞는 상품군을 선택할 수 있도록 해주는 최적화 기법으로 상품추천시스템의 추천엔진으로써 유용할 것으로 기대된다. 본 연구에서는 제안한 유전자 알고리즘에 기반한 추천 규칙들이 장착된 웹 기반의 개인화된 상품추천시스템의 프로토타입을 개발하고 이에 대한 실제 사용자들의 이용 만족도를 확인함으로써 본 연구에서 제안한 방법론의 유용성을 확인하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.500-503
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• 2018

최근 스마트폰의 보급률이 높아지면서 인터넷 쇼핑몰의 접근성이 용이해지고 있고 그로 인해 사용자들의 인터넷 쇼핑의 이용이 보편적이게 되었다. 그 중 여성 의류 분야는 많은 비중을 차지하고 있으며 현재도 꾸준히 성장하고 있는 추세이다. 많은 여성 소비자들은 개인의 취향에 맞는 의류들을 추천받기를 원한다. 본 논문에서는 협업 필터링에서 발생하는 cold start 문제를 이름, 나이, 선호 스타일, 자주 사용하는 쇼핑몰 등 개인 성향을 이용하여 해결하는 협업 필터링과 개인 성향을 이용한 여성 의류 쇼핑몰 추천 시스템을 제안한다.

• Journal of Global Scholars of Marketing Science
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• v.14
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• pp.17-37
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• 2004

This research is speak that is tendencious in comprehension of external consumer information search behavior using on-line external information source to consumers who use on-line that is used as corporations' main strategic means. That is, classify consumer groups which was atomized according to type inflict consumer's information search knowledge level and shopping value study which use on-line, and decision factors of information search that these groups can influence a difference or each group which use information sources grasped what it is. Result that investigate information search knowledge level difference about study finding on-line information source utilization used mainly portal site, comparison site, auction site. And, utilization shopping pursuit value group used information source by portal site, auction site, niche shopping mall site and hedonic shopping pursuit value group used information source by portal site, auction site, shopping mall site. It confirmed that all variables(i.e. consumer-based variable and web site-based variable) are influencing variously in on-line external information search types. Finally, we proposed different way to erect strategic model about consumers that use on-line with study finding that see.

• Journal of Global Scholars of Marketing Science
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• v.13
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• pp.1-27
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• 2004

This study attempts to investigate the difference between the internet shoppingmall types. The main purpose of this study is to verify the relationships among shoppingmall evaluation criteria, shopping satisfaction, revisit frequency, and repurchase intention across the shoppingmall type. The following results were shown by testing eleven hypotheses using LISREL. First, shoppingmall evaluation criteria such as entertainment, product authentification, economical prices and on-time delivery were significantly related to shopping satisfaction in general merchandise shoppingmall. Second, in specialty shoppingmall, evaluation criteria like informativeness, economical prices and on-time delivery significantly affected shopping satisfaction. Third, as contrasted with the expectation, site design and product assortment did not have significant impact on satisfaction in both internet shoppingmall types. Fourth, shopping satisfaction was significantly related to revist frequency and repeat purchase intention. Finally, some theoretical and managerial implications were discussed.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.91-97
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• 2016

The technological environment is rapidly affecting the way of shopping. When consumers go about retail activities, they not only use a single channel (e.g., traditional stores, mobile) but also combine different channels. This research focuses on the factors which influence the favorableness toward omni-channel shopping. Specifically, this paper investigates the effect of extraversion-introversion on the omni-channel shopping favorableness. Moreover, the effect of variety-seeking tendency is examined as a mediator. The results of an experiment using PROCESS program find that when participants are more extravert, they show greater favorableness toward omni-channel shopping and variety-seeking tendency mediates the effect of extraversion-introversion. Based on the findings, this research proposes managerial implications and several directions for further research.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.205-215
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• 2022

In this study, the authors analyzed the effect of demographic and mobile usage characteristics on mobile shopping addiction. In particular, this study focused on identifying the differences in shopping addiction between countries that were rarely covered in previous studies. As a result of the analysis, gender and age were identified as significant independent variables in demographic characteristics, and it was analyzed that there was a statistically significant moderating effect between these variables and nationality. In the mobile usage, the initial time of use was found to be a significant independent variable, and it was analyzed that there was also a moderating effect between the variable and nationality. The results of this study can be used as a clue to establishing marketing strategies for providing customized products and services from a corporate perspective, and can provide useful guidelines for resolving shopping addiction from a public policy perspective.

• Information Systems Review
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• v.6 no.1
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• pp.53-66
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• 2004

In Korea, The Consumer Protection Law in Electronic Commerce, which came into effect in July 2002, forced internet shopping malls to provide a minimum of 7 forms of business information, including the name of the business, the name of the representative, geographical address, telephone number, fax number, e-mail address, and business license number, so that consumers could easily identify them. To investigate the shopping malls which do not provide their business information, can lead to confidence in the electronic commerce environment. To investigate the completeness of the business information with the internet shopping malls, this paper proposes the methods of gathering URLs of internet shopping malls, of extracting business information attributes, and an architecture of the agent system. Information extraction in our research is based on synonyms and indicator words of the attributes. With the experiment we showed that the accuracy of our agent system to find out the right business information is 89.3%.