• Journal of the Korean Society for information Management
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• v.18 no.1
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• pp.43-64
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• 2001

The purpose of this study is to examine the features of Internet bookshops in order to suggest the most effective website model for them. Seven Internet bookshop websites are analyzed. The evaluating criteria includes: interface layout, contents, function aspects. The results show that a suggested model should include various aspects: 1) user-centered menu structure, 2) effective search methodlsubject directory, and 3) various and good quality review.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.11a
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• pp.47-50
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• 2015

PDF는 미국 어도비 시스템즈(Adobe Systems) 사에서 만든 전자 문서 파일 포맷이다. PDF에는 일반 문서 및 문자, 도형 그림, 글꼴 등을 포함할 수 있으며, 동일한 문서를 컴퓨터 운영체제와 관계없이 모니터, 프린터 등의 출력 장치로 같은 모습으로 출력하기 위한 목적으로 개발되었다. 현재 거의 모든 운영체제에서 PDF 문서를 읽거나 인쇄할 수 있으며, 온라인 및 오프라인 환경에서도 쉽게 PDF 문서를 공유할 수 있으며, 보안성이 높아 공공기관, 연구소 등에서 자료를 배포할 때 많이 사용되고 있다. XML은 사람이 쉽게 읽을 수 있고 컴퓨터와 같은 기계가 쉽게 판독할 수 있는 형식으로 부호화된 문서를 작성하기 위한 일련의 규칙을 정의하는 데 사용하는 마크업 언어로서 W3C에서 정의하였다. 현재 XML은 인터넷 상에서 데이터를 표현 하거나 교환, 저장, 검색할 때 가장 널리 쓰이고 있다. 본 논문에서는 PDF 문서를 인터넷 상에서 쉽게 활용하도록 도와주며, XML 데이터 처리가 가능한 응용 프로그램에서 PDF 문서를 활용할 때 쉽게 사용할 수 있도록 도와주는 PDF-to-XML 변환 소프트웨어를 구현하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.5
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• pp.171-180
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• 2008

This paper also suggests the Digital Evidence Transmission System for E-Discovery which is suited to domestic environments in order to solve these problems and promote safe and convenient transmission of the electronic evidences. The suggested Digital Evidence Transmission System for E-Discovery is the system that submit digital evidences to Court's Sever through the Internet using Public Key Infrastructure and Virtual Private Network, and solves the problems - such as privileged and privacy data, trade secret of company, etc.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.571-575
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• 2022

본 논문에서는 통계청에서 매월 작성되는 온라인쇼핑동향조사를 위해, 언어모델 전이학습 기반 분류모델 학습 방법론을 이용하여, 관세청 제공 전자상거래 수입 목록통관 자료를 처리하기 위해서 해외 직접 구매 상품군 분류 모델을 구축한다. 최근에 텍스트 분류 태스크에서 많이 이용되는 BERT 기반의 언어모델을 이용하며 기존의 색인어 정보 분석 과정이나 사례사전 구축 등의 중간 단계 없이 해외 직접 판매 및 구매 상품군을 94%라는 높은 예측 정확도로 분류가 가능해짐을 알 수 있다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.195-209
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• 2021

According to the 2019-2020 social media usage survey conducted by the Seoul e-commerce center, 5 out of 10 consumers have experienced shopping through social media. The cost of traditional advertising media has been reduced and advertising spending on social media has risen by 74%, indicating that social media is becoming a more important marketing element. While the number of users of social media has increased and corporate marketing activities have increased accordingly, research has been conducted in various aspects of marketing such as user motivation for social media, satisfaction, and purchase intention. There was no subdivided study on the differences in the social media usage frequency of consumers in actual purchasing behavior. This study attempted to identify differences in consumer characteristics by cluster in the agrifood purchase situation by grouping them by type according to the frequency of use of social media for consumers who purchase agri-food online. Product involvement, product need, and online purchase channel Consumer characteristics such as demographic distribution, perceived risk, and eating and lifestyle in each cluster were checked for the three agrifood purchase situations including choice, and types for each cluster were presented. To this end, questionnaire data on the frequency of social media use and online agrifood purchase behavior were collected from 245 consumers, and the validity of the measurement variables was secured through factor analysis and reliability analysis. As a result of cluster analysis according to the frequency of social media use, it was divided into three clusters. The first cluster was a group that mainly used open social media, and the second cluster was a group that used both open and closed social media and online shopping malls; The third cluster was a group with low online media usage overall, and the characteristics of each cluster appeared. Through regression analysis, the effect on product involvement, product need, and purchase channel selection when purchasing agri-food online through each of the three clusters was confirmed through regression analysis. As a result of the regression analysis, the characteristic of cluster 1 in the situation of purchasing agri-food online is a male in his 30s living in a rural area who has no reluctance to purchase agri-food on social media or online shopping malls. The characteristics of cluster 2 are mainly consumers who are interested in purchasing health food, and the consumer characteristics are represented. In the case of cluster 3, when purchasing products online, they purchase after considering quality and price a lot, and the consumer characteristics are represented as people who are more confident in purchasing offline than online. Through this study, it is judged that by identifying the differences in consumer characteristics that appear in the agri-food purchase situation according to the frequency of social media use, it can be helpful in strategic judgments in marketing practice on social media customer targeting and customer segmentation.

• Convergence Security Journal
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• v.5 no.1
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• pp.19-27
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• 2005

This paper presents the content regarding electronic medical examination chart and data processing for efficient medical examination and fast treatment by realizing remote medical examination system of mutual conversation type among 3 parties(patient, doctor, pharmacist) on internet base, and establishment of database enabled system integration for efficient data processing in both on-line and off-line mode by interconnecting ASP and SQL on IIS 4.0 web server, consultation between patient and doctor, medical examination on off-line mode, transmission of prescription sheet to the pharmacist designated by patient, preparation of medicine, semieternal storage of medical examination data owing to storage and check of medical examination data, more accurate medical examination and prescription using this medical examination data by patient and doctor, and so on. And, data processing between doctor and pharmacist is differently performed based on class such as general member and charge member, and service access right pursuant to this is endowed, so that certification of each member must follow by all means.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.576-589
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• 2021

Live commerce as a new form of service that combines live streaming service with e-commerce is gaining a growing attention from many people with diffusion of a new trend of untact economy. In this context, this research examines what leads to user satisfaction of live commerce. In especial, this research conceptualized several determinants that might affect user satisfaction of live commerce from three dimensions of users, information sources and platforms. It also tested whether those factors had influences on user satisfaction of live commerce empirically. The sample in this study was responses of 218 people in their 20s and 30s who had experienced using live commerce. They were analyzed using a hierarchical regression analysis. The findings revealed that depression and innovativeness from the dimension of users, attractiveness of show host from that of information sources, and physical affordance and perceived interaction among users from that of platforms had significant influences on user satisfaction of live commerce.

• Science of Emotion and Sensibility
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• v.25 no.3
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• pp.91-106
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• 2022

This study targets four Soho fashion shopping malls that are operating successfully in the online fashion market. This study analyzed the entrepreneurship process by dividing it into three stages. The results of the case study are as follows. In the case of Company S, the founder, who had little work experience, started an e-commerce business with a sense of fashion and entrepreneurship. It is a contemporary, casual brand with competitive prices, design power, and diverse product assortment, and the business performance was achieved through data management and analysis and the diversification of distribution channels. In the case of Company B, the founder, who had little work experience, started a manufacturing and e-commerce business by leveraging their SNS network capabilities and entrepreneurial spirit. It is a contemporary fashion brand with product competitiveness of specific items and start-up characteristics, and performance was achieved through the establishment of brand identity and market expansion. Third, Company M and Company C are examples of Soho fashion shopping malls where the founders with more extensive work experience at the time of founding their respective start-ups focused on brand recognition as their core competitiveness. In the case of Company M, the apparel brand was launched with a wealth of experience and design spirit. It is a fashion designer brand that stands out for its sensibility, and the owner has achieved performance through various entrepreneurial activities that broaden the corporate horizon. Company C is a manufacturing and e-commerce brand that was started with design capabilities and an entrepreneurial spirit. It is a luxury fashion brand that focuses on emotional expression, and the outcomes, such as brand recognition and sales, were achieved through active customer management. The results of this study can be used as basic data in education for and research of Soho shopping malls and the prospective founders.

• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.65-89
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• 2014

Although many studies have focused on the influences and outcomes of personal information leakage, few studies have investigated how the personal information leakage prevention behavior differs depending on internet user. This study attempts to supplement the existing studies' limitations with the use of risk perception attitude (RPA) framework. More specifically, this study tries to show internet user can be classified into four groups based on perceived risk of personal information leakage and efficacy beliefs of personal information protection, and to identify how the groups differ in terms of motivation, information seeking, and behaviors for privacy leakage prevention. Analysis on survey data from 276 internet users reveals that the users can be classified into responsive, avoidance, proactive, indifference groups. Furthermore, there are differences between groups in terms of motivation, information seeking, and behaviors for personal information leakage prevention. This study contributes to expand existing literature by providing tailored guidelines for implementation of personal information protection strategies and policy.

• Journal of Internet Computing and Services
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• v.12 no.3
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• pp.57-67
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• 2011

Trust is generally assumed to be an important precondition for people's adoption of e-government services. This study analyzes the direct and indirect impact of information privacy, interactivity, subjective norms and words-of-mouth on perceived trust of e-government services and trust toward government. The Partial Least Square(PLS) was applied to the citizen survey data for hypotheses testing. PLS permits the simultaneous testing of cause-effect hypotheses while also allowing evaluation of the measurement model. Statistical results indicate that interactivity, subjective norms and words-of-mouth positively affects perceived trust of e-government services, which in turn affects the level of political efficacy and the trust toward the government. Interactivity has been found to affect words-of-mouth as well. However, information privacy has no significant effect on the trust of e-government services.