• 한국지능시스템학회논문지
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• 제12권2호
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• pp.109-114
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• 2002

요즘 전자상거래 고객들은 쇼핑몰에 있어 물품들의 가격 정보를 수집하는 비교쇼핑 에이전트들의 도움을 받아서 구매 비용을 절감할 수 있다. 그러나 사용자는 가격이외의 다양한 구매 조건을 만족하는 제품 정보들을 추천하는 에이전트의 개발을 요구하고 있다. 본 논문에서는 에이전트 기반의 전자상거래를 실현하기 위해 다양한 사용자 요구에 적합한 도서 정보를 검색하고 추천하는 멀티에이전트 시스템을 제안한다. 본 멀치에이전트 시스템은 온라인 서점 고객들을 돕기 위해 구현되고 테스트되었다. 실험 결과 전자상거래를 이용하는 구매자에게 여러 온라인 서점의 다양한 도서판매 조건에 대한 정보를 실시간으로 추천할 수 있게 되었다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 춘계학술대회
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• pp.294-297
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• 2011

인터넷 검색엔진 회사인 구글에서 클라우드 컴퓨팅(Cloud Computing) 개념이 등장되고 인터넷 서점으로 유명한 Amazon이 컴퓨터 자원을 온라인으로 대여하는 사업을 성공시킨 이후, 글로벌 IT기업들은 클라우드 컴퓨팅에 주목하고 있다. 클라우드 컴퓨팅을 도입한 기업들은 다양한 변화를 맞이하고 있으며, 이에 발맞추어 국내 IT 시장에도 클라우드 컴퓨팅이라는 새로운 패러다임에 대한 관심이 고조되고 있다. 본 논문에서는 클라우드 컴퓨팅의 개념 및 동향을 살펴보고, 국내 기업에서 제공하는 클라우드 컴퓨팅의 서비스 현황과 향후 전망에 대하여 기술한다.

• 한국융합학회논문지
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• 제13권5호
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• pp.85-96
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• 2022

본 연구의 목적은 인터넷서점에서 주요 서비스로 자리 잡고 있는 중고도서 거래의 서비스 요인이 고객만족에 미치는 영향과 고객만족이 재이용의도에 미치는 영향을 분석하는 것이었다. 20대 이상의 중고도서 거래서비스 이용자들에게 설문을 통해 235개의 표본을 수집하고 정제과정을 통해 205개의 설문을 채택하였다. SPSS22.0과 AMOS22.0 통계 프로그램을 이용해 요인분석, 신뢰도분석, 구조모형분석을 통해 가설을 검증하였다. 서비스 요인과 고객만족간에 일부요인이 지지되었고, 고객만족은 재이용의도에 대해 유의한 영향을 미치고 있었으며, 독서 선호 장르에 따른 조절효과가 있음을 확인하였다. 인터넷 서점들의 서비스는 점점 표준화되고 있어 고객들은 차별성을 느끼지 못하고 있으므로 고객의 특성에 따라 차별화된 서비스 제공해야 할 것으로 보인다.

• 한국의류산업학회지
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• 제25권6호
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• pp.715-724
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• 2023

This study analyzed the shifts that occurred before and after the outbreak of COVID-19 by scrutinizing digital keywords derived from prominent culture media, such as books and instagram. The analysis identified trends rooted in digital terminology. For this study, the period 2017 to 2022 was divided into three-year segments, before and after the outbreak of COVID-19. Subsequently, an analysis was conducted using digital keywords to assess the number of digital-related books and book hashtags, the number of instagram mentions, and relevant keywords. We found that COVID-19 exerted a discernible influence on information related to digital keywords, substantially impacting both the book publishing market and instagram. Notably, digital-related books have been published in a variety of fields since the outbreak, and new fields are emerging. The year 2020 saw the most significant growth in the mentions of digital terms on instagram. Such terms were used in conjunction with terminology related to people working in a digital environment, endeavors aimed at revenue generation in online spaces, leisure activities associated with art and culture, and online service platforms. Through the analysis of digital keywords, this study is expected to contribute to the understanding of digital trends and their future trajectories.

• Asia pacific journal of information systems
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• 제20권3호
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• pp.73-90
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• 2010

Although research on acceptance of information systems provides useful insights in understanding users' behavior, we need to further understand factors that cause long-term or continued use. This article therefore examines the role of users' maximizing tendency (i.e., individual differences in pursuing the best option) in continuance intention of Web sites. By controlling for disconfirmation, ease of use, and product involvement, we empirically investigate the relationships between satisfaction, usefulness, and continuance intention to online bookstore Web sites. As suggested by the information technology continuance model, the effects of satisfaction to and perceived usefulness on continuance intention to Web sites are positive for individuals with low maximizing tendency (i.e., satisficers). Satisfaction and usefulness, however, are not associated with continuance intention for individuals with a high maximizing tendency (i.e., maximizers). The implications for both researchers and practitioners are discussed.

• Management Science and Financial Engineering
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• 제11권3호
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• pp.19-45
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• 2005

Collaborative filtering is one of the most common methods that e-commerce sites and Internet information services use to personalize recommendations. Collaborative filtering has the advantage of being able to use even sparse evaluation data to predict preference scores for new products. To date, however, no in-depth investigation has been conducted on how the data sparsity effect in customers' evaluation data affects collaborative filtering-based recommendation performance. In this study, we analyzed the sparsity effect and used a hybrid method based on customers' evaluations and purchases collected from an online bookstore. Results indicated that recommendation performance decreased monotonically as sparsity increased, and that performance was more sensitive to sparsity in evaluation data rather than in purchase data. Results also indicated that the hybrid use of two different types of data (customers' evaluations and purchases) helped to improve the recommendation performance when evaluation data were highly sparse.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2008년도 춘계학술대회
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• pp.135-140
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• 2008

Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not, to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships with the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at which the recommended items were purchased did not differ prior to and after the renovation of the site.

• 유통과학연구
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• 제16권8호
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• pp.5-13
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• 2018

Purpose - Customer Delight is an important issue for firms and academia since delighted consumers reveal higher repurchase intentions than merely satisfied consumers and become loyal consumers. This research investigates customer delight, especially focusing on the role of surprise and attribute importance via experiment. Research design, data, and methodology - An experiment consisting of experiment, reference, and control group was performed with virtual online bookstore. For the analysis, one-way ANOVA and post-hoc analysis (LSD) were performed. Results - The experiment group that was delighted with surprise revealed the highest repurchase intention and recommendation intention among the other groups (H1 supported). Then each group was divided into attribute importance high and attribute importance low. For the group that was delighted in important attribute revealed higher repurchase and recommendation intention than the group that was delight in less important attribute (H2 supported). Conclusions - This research contributes academically for investigating the research area of customer delight and focusing on the role of surprise and attribute importance. For practical implications, this research provides information about customer delight and its several moderating variables that it is important to delight customers with surprising experience and focusing on an important attribute that consumers perceive not on a less important attribute.

• 디지털콘텐츠학회 논문지
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• 제18권2호
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• pp.257-266
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• 2017

최근에, 분야별로 다양한 도서가 출판되면서 인터넷이나 오프라인 서점에서 구매 선택폭이 넓어진 상황이다. 그러나 오프라인 서점의 경우 책의 손상을 방지하기 위한 비닐포장 현상이 나타나고 있다. 그 결과 책 내용 확인이 어려워 구매결정에 영향을 주게 되는 요인이 되고 있다. 이러한 요인은 연평균 독서량 감소 현상으로 연결된다. 따라서 본 논문에서는 온라인 및 오프라인 서점의 문제점으로 인한 책 판매 감소 현상을 개선하는 마커(Marker)기술 및 AR을 이용한 도서 정보 알림 서비스 "아이 뷰" 어플리케이션을 제안하고자 한다.

• 한국의상디자인학회지
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• 제9권3호
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• pp.133-149
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• 2007

Amid a wave of informatization, the world is allowing diverse exchanges and cooperations in the global village to be promoted. And, a change in the life environment and the consumption pattern allows the key word in distribution revolution called 'online' and 'emotion' to be recalled. As the emotion is being positioned as the trend of the new era, this study has its significance in that even the fashion industry desperately requires the emotion marketing aiming at the artistic value and practicality in fashion and the creation in value-added, and requires the development and utilization plan for diverse VMD programs on the rational dress shop, like the successful case of the trendy shop such as America's large bookstore 'Barnes & Noble.' Accordingly, the purpose of this study is to design and suggest the virtually trendy dress shop as one plan of utilizing VMD, by examining about the fashion business environment and about 'emotion trend' according to the consumer purchase needs, and through researching into the cases of the trendy dress shops with the emotion marketing. The virtual trendy dress shop 'Muse,' which was proposed as its research result, was designed with having the main concept as urban naturalism, which points to the urban and sophisticated coordination, and to the simple personality and rational value, as one method of utilizing VMD in the differentiated dress shop. And, it is desired to be performed the researches on the development and the utilization plan for diverse VMD programs in the dress shop down the road.