• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.215-223
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• 2007

On-Line Shopping mall is becoming important strategic environment that decide corporation's competitive advantages because of that can achieve quality of customer service and offer speed elevation through both-way communication effectively. Accordingly, as interest about electronic commerce rises, various research had been gone. But, most researches are applying off-line market's quality of service measurement tool just as it is doing not consider special quality of internet. Consider and prescribe by system quality, and saw that thing with grasp relation with customer satisfaction along with qualify of service is important for factor that environmental element influences in customer satisfaction as existing commercial transaction in this research hereupon. That is, wished to present quality strategy necessary to examine whether some quality factor of system quality and quality of service affects more customer satisfaction, and satisfy various customer's needs accordingly after ermine whether it are switching and some relation that search purchase alteration availability of market that is different from loyalty which recommend internet shopping mall to another person who is system quality factor and quality of service factor and customer satisfaction factor actively.

• Information Systems Review
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• v.25 no.4
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• pp.67-87
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• 2023

Many online shopping sites now offer personalized recommendation systems to improve consumers' shopping experiences by lowering costs (time, cost, etc.), catering to consumers' tastes, and stimulating consumers' potential shopping needs. So far, domestic and foreign research on the personalized recommendation system has mainly focused on the field of computer science, which is advantageous for obtaining accurate personalized recommendation results for users but difficult to continuously track the users' psychological states or behavioral intentions. This study attempted to investigate the effect of the characteristics of the personalized recommendation system in the online shopping environment on consumer perception and purchase intention for consumers using the Stimulus-Organism-Response (S-O-R) model. The analysis results adopted all hypotheses on the effect of the quality of the personalized recommendation system and information quality on trust and perceived value. Through the empirical results of this study, the factors influencing consumers' use of personalized recommendation system can be identified. In order to increase more purchase, online shopping companies need to understand consumers' tastes and improve the quality of the personalized system by improving the recommendation algorithm thus to provide more information about products.

• Management & Information Systems Review
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• v.30 no.3
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• pp.153-167
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• 2011

This study conducts to examine the effect of purchase intention on social shopping by connection density and centrality which is a structural characteristic of social network. Furthermore, this study suggests and analyses the difference of social shopping purchase intention between online community which focuses on a group and SNS(social network service) which focuses on an individual. To examine these reason, this study proposes hypotheses that reflects structural characteristic then analyses them. The result of analysis shows that the purchase intention on social shopping seems to be high when the density of connection is high and the purchase intention seems to be high when the centrality is high as well. Moreover, there is difference in the purchase intention on social shopping between online community and SNS and it is found that both cases where the connection density is high in the online community and the connection centrality is high in SNS have significant impact on the purchase intention. Based on these results, this study provides an implication on the importance on network structure in social network and social shopping and to increase the purchase intention of social shopping, this study suggests the implication on the importance and direction which understands the structure of social network type.

• 한국IT서비스학회:학술대회논문집
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• 2009.11a
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• pp.481-486
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• 2009

현재 우리나라의 온라인 관련 산업 즉 온라인 쇼핑, 인터넷 게임 등 온라인에서 고객을 접하는 산업의 경우 CRM의 붐이 일던 시절에 CRM을 도입하고 분석하고 있으나 그 실효성에 대한 문제가 발생하고 있으며 실제 실행 전략적 측면에서 접근 하지 못하여 투자 대비 효과가 미비하다는 판단을 하고 있습니다. 특히 게임사의 경우 다양한 고객 접근 채널을 중심으로 다각적 분석이 요구 됨에 있어 그 근간을 설정하지 못하고 고객에 대한 정확한 정의 또한 내리지 못하고 있는 현실에서 CIM 기반 BI 실행 접근 전략 방법을 통하여 온라인 게임 산업의 발전을 도모하고 중장기적 매출 증대를 위한 고객 관리 실행 전략을 소개하고자 합니다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.561-563
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• 2003

Ubiquitous computing 환경에서 휴대용 단말기는 중요한 위치를 차지하고 새로운 Interface와의 연결을 통해 다양한 어플리케이션이 생성하게 된다. 본 논문에서는 휴대용 단말기와 칼라코드 인터페이스를 이용하여서 새로운 형태의 온-오프라인 통합 상거래 서비스 시스템을 제안하고자 한다. 휴대용 단말기를 이용해서 오프라인 쇼핑의 눈으로 볼 수 있다는 정과 온라인 쇼핑의 장바구니 기능과 검색기능을 합친 새로운 형태의 쇼핑을 지원하는 시스템이다. 사용자는 물건의 칼라코드를 인식함으로써 물건의 내역을 입력받고 전자 결제를 사용함으로써 손쉽게 결제할 수 있는 장점을 얻게 되고 대형마켓에서는 인력 절감과 편리한 서비스를 제공한다는 장점이 있다.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.75-87
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• 2015

The current study examines whether consumers' perceived usefulness of and trust in the integrated mobile payments services positively influence consumer loyalty to the payments system as well as to the online shopping websites where they have used the payments system. Moreover, the study investigates the effects of individual characteristics and brand awareness of the provider of mobile payments on perceived usefulness and trust. Online survey was administered to consumers ranging in age from 20s to 40s. Data analysis reveals that as consumers' perceived usefulness of and trust in the mobile payments system positively influence consumer loyalty to mobile payments and shopping mall websites. The results of the study suggests that e-commerce's user interface design, particularly the transaction system, should receive greater attention as a basic web element of e-commerce building rather than a set of plug-ins or so.

• Journal of the Korea Society of Computer and Information
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• v.20 no.3
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• pp.139-144
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• 2015

Recently, to satisfy the customer's requirements for glasses such as rating of glasses or choosing, glasses industry is supporting various types and tools for making one's appearance good. Among various forms of online shopping with the development of online shopping and the rapid growth of IT technology, the intense competition also more deepen. The strategies for differentiated marketing and features for competitiveness of businesses in the online and offline shopping areas are required that our marketing target be settled the glasses marketing by analyzing. In this research, we study the strategy for implementing a site for glasses to customizing a person not to distinguish whether the customer is older or younger etc. For the purpose of implementing a site for glasses, first, we suggest a differentiated methodology through analysis of glasses industry service and features of existential representative glasses sites. Through the activation of the marketing strategies, marketing in a glasses market is expected to be competitive.

• 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.

• Asia Marketing Journal
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• v.10 no.2
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• pp.125-151
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• 2008

Both companies and consumers are highly interested in on-line customer reviews which enable consumers to share their experience and knowledge about products. In this study, after classifying real reviews into context units and deriving categories, we analyzed differences between categories based on channel(manufacturers' homepage/ shopping mall), product attribute(search/experience) and price(high/low). The method to derive categories is based on roughly adopting constructs of ACSI model and elaborate and repetitive classification of real reviews. We set up the classification category with 3 levels. Level 1 consists of product and service, level 2 consists of function, design, price, purchase motive, suggestion/user-tip and recommendation/repurchase in product and AS/up-grade and delivery/others in service and level 3 is composed of details of level 2 of category. We could find remarkable differences between channels in all 8 items of level 2 of category. As the number of context units in homepage is more than in shopping mall, we found reviews in homepage is more concrete. Moreover, overall satisfaction in review was higher at homepage's. Also, in product attribute dimension, we found different patterns of reviews in design, purchase motive, suggestion/user-tip, recommendation/repurchase, AS/up-grade and delivery/others and no difference in overall customer's satisfaction. In price dimension, we found differences between high and low price in design, price and AS/up-grade and no difference in overall customer's satisfaction.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.385-387
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• 2001

대부분의 B2C 쇼핑몰 시스템은 사용사 인터페이스에서만 큰 차이를 보일 뿐 기능적/비기능적 요구사항과 아키텍처는 유사하며 쇼핑몰 시스템 구성요소들의 재사용은 매우 높다. 이에 B2C 쇼핑몰 시스템의 제품 라인 구축 시 입력몰인 1) 제푸 제약사항, 2)스타일, 패턴 및 프레임워크, 3)생산 제약사항, 4)생산 전략, 5)기존 구성품의 재고조사를 정의하고 B2C 쇼핑몰의 모델 분류와 기본적인 사용자 요구사항을 바탕으로 쇼핑몰 시스템의 공통점과 차이점을 제품 라인 범위로 제시한다. 일반적인 B2C 쇼핑몰 시스템이 제공하여야 하는 고객 정보 관리, 상품 정보 관리, 주문관리, 보안, 상품 운송 등의 기본 기능이 공통점으로 추출되었으며 가격의 고정 여부, 사용자 인터페이스, 멀티미디어 서비스 지원 여부, 포탈 사이트와 비슷한 검색 기능, 온라인 지불 기능의 지원과 사용자 인터페이스 및 데이터 베이스 스키마 등이 차이점으로 추출되었다.