• International Journal of Contents
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• 제6권4호
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• pp.62-68
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• 2010

More and more researchers and practitioners in the field of e-commerce are paying attentions to the retention of online customers. However, only a few researches can be addressed in the context of internet shopping mall repurchase intention. This study aims at investigating and delineating the important characteristic factors which affect consumers' repurchase intentions by conducting an empirical analysis. In order to fulfill this purpose effectively, a comprehensive review of previous studies regarding information system success model was performed in order to render a stronger theoretical foundation for our study. Finally, based on the DeLone and McLean (2003) IS success model, information quality, system quality, service quality, customer satisfaction and repurchase intention were employed as five constructs in the research model and hypotheses on mutual relationships between these constructs were established accordingly. Structural equation modeling was employed to analyze the data collected from 204 internet shopping mall consumers in China. Our theoretical model exhibited a good fit with the observed data. The empirical results showed particularly strong support for the effects of information quality, service quality and user satisfaction. The findings of this research contributed to the extension of repurchase intention study in the context of Internet shopping malls. Our research also offered implications for practitioners in regards to devising internet shopping malls so as to increase consumers' repurchase intention to use these services.

• 한국보건간호학회지
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• 제17권2호
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• pp.278-286
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• 2003

In this study quality of tobacco cessation information provided through Internet web sites was evaluated in terms of retrievability, easy of use, user-supportiveness, feedback, and continuity. This study limited to those internet web sites developed and delivered by Korean public health service organizations or their related institutions or associations. This study analyzed 8 internet web sites and evaluation criteria developed by Chung, Yong Chul (2002) and Yoo, Sarah (2001) were used. Study results indicated that retrievability was evaluated low except search-speed of data: the easy of use was evaluated moderately: user-supportiveness was evaluated moderately: feedback, and continuity of those sites were evaluated low. The quality of tobacco cession information of those sites are needed to be improved. The development of guidelines for standardized health information on Internet web sites is necessary, too.

• 컴퓨터교육학회논문지
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• 제15권2호
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• pp.47-55
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• 2012

한국정보화진흥원에서 개발한 4가지 부류의 20문항으로 구성된 한국형 성인 인터넷 중독 자가진단 척도 (K-척도)의 4가지 요인 가운데 '내성 및 몰입 요인'이 인터넷 중독 진단에 가장 큰 영향을 주는 요인임을 데이터마이닝 기법으로 밝힌다. 본 연구에서는 이를 토대로 사용자의 직무 무관 인터넷 이용 활동에 대한 내성정도를 이용하여 인터넷 중독 진단을 수행하는 새로운 방법을 제시한다. K-척도와 제안된 내성정도를 이용한 인터넷 중독 진단 방법에 대하여 설문조사에 참여한 일부 사용자 대상으로 피드백을 받은 결과, 제안된 사용자 중심의 진단 방식이 사용자 고의에 의한 미발견 중독자 발견에 효과가 있음을 확인하였다.

• International Journal of Internet, Broadcasting and Communication
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• 제15권2호
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• pp.14-21
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• 2023

Recent information and communication technologies have already opened up new prospects for technology groups, especially in a knowledge-based society. A contemporary technological era, which can be stated as the hyper-connective Internet of Things surpassed the traditional service pattern and innovation pattern by conveying personalized, localized, and con-text-aware services close to different actors and users. The conventional boundary of the organization is disbanding as well as traditional innovation and research & development limits. This research article conducts a preliminary study about the hyper-connective Internet of Things technology portent with innovation 3.0 version based on an extended technological organization environment framework (E-TOEF). This article discusses the emergence of innovation 3.0 as a paradigm shift from a manufacturing paradigm to an actor-oriented paradigm. There is a need to shift from a manufacturing mindset to more user ergonomics and be aware of the potential of hyper-connective IoT on the revolution of innovation patterns to be more cooperative, open, and user-centered. Besides, this article would strain some conceptual approaches for the next-generation innovation paradigm known as "hyper-connective IoT" entitled innovation 3.0. This new innovation version goes beyond open innovation and undeniably clearly beyond closed innovation which was an earlier version.

• 한국인터넷방송통신학회논문지
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• 제16권6호
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• pp.95-101
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• 2016

최근에는 인터넷 및 통신망 기술의 발달과 함께 무선 센서 네트워크 기술에 대한 연구가 활발해지고 있다. 그와 더불어 무선 센서 네트워크 환경을 적법하게 사용하기 위해서, 사용자 및 센서에 대한 인증기술에 대한 중요성도 커져가고 있다. 처음으로 Das가 스마트 카드와 패스워드를 이용한 무선 센서 네트워크 환경에서의 인증 스킴을 제안한 이후로, 취약점 분석 및 안전한 인증기술에 관한 연구가 활발히 진행되고 있다. 그 중 Chen 등은 스마트 카드 분실 공격에 안전한 인증 스킴을 제안하였다. Chen 등이 제안한 스킴은 효율적이지만 여전히 완전 순방향 비밀성 미보장, 익명성 미보장, GW에 의한 세션키 노출 문제와 패스워드 검사가 제공되지 못하여 발생하는 취약점들이 분석되었다. 이를 해결하기 위해서 본 논문에서는 퍼지추출 기술, 타원곡선 암호, 동적 ID 기술 등을 스킴에 적용하여, 보안성이 향상된 사용자 인증 스킴을 제안하고, 제안하는 스킴의 안전성을 분석하였다.

• 한국도서관정보학회지
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• 제31권1호
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• pp.87-114
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• 2000

The purpose of this study is offering appropriate system and training program to helf the system designer and the trainer in addition to analyze information use behavior about the web search tools and evaluate the estimated system by user groups. The results of the study are as follows $\circledS1$ It is desirable to consider age than other demographic variables in the case of web search tool. $\circledS2$ It is desirable to design Directory Search Tool in the case of web search tool which serves the student user group. $\circledS3$ An Intelligent Search Tool is more appropriate for the students who are using keyword search tool than any other tools. $\circledS4$ A discussion about standard classification of the web information should be accomplished soon because users feel confused in using web search tools due t o absence of standard mode of classification about classified item. $\circledS5$ Librarians need the cognition about data on internet s a source of information and need positive service and user training program about these information because student users hardly get help from librarians or library orientation for learning method to use web search tool. $\circledS6$ Internet use experience and years of computer use had effect on their use ability when using web search tool, whereas computer use experience, library use experience and Online Public Access Catalogs (OPAC) use experience had no effect on it. Especially, OPAC use experience had no effect on use ability of web search tool of student user group because student user groups had no information about internet and web search tool and they did not recognized the difference about search method between web search tool and OPAC. $\circledS7$In the case of web search tool, it si important to index the increasing web resource automatically by a searching robot. But in the case of student users, web search tool is much more needed to index by index expert due to the absence of ability about selecting and combining keyword.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권7호
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• pp.1346-1367
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• 2011

As the size of camera modules is decreasing and as the computing performance of portable devices is improving, taking photos has become a part of daily life. However, existing photo management programs and products that manage such photos still require extensive user effort to facilitate the sharing and browsing of images. It is especially difficult for novice users to manage and share photos. In this paper, we develop a round-robin concept-driven user preference feedback mechanism for achieving direct photo sharing, instant display, and easy management using optimized user controls and user preference-driven classification. Compared with commercial photo management systems, our proposed solution provides new features: optimized user controls, direct sharing and instant display, and user preference feedback driven classification. These new features boost the round-robin concept-driven user preference feedback. This paper proposes a photo finder that automatically searches for photos in storage spaces or cameras. The proposed photo finder relies on user preference feedback to share photos by leveraging user preferences, and the round-robin connection transmits photos to the family's digital photo frame or web album by arbiter. The proposed method saves time and spares users the effort required for photo management. Moreover, this method does not merely direct photo sharing and simple photo management, but it also increases the satisfaction level of users viewing the photos.

• 한국컴퓨터정보학회논문지
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• 제18권3호
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• pp.141-152
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• 2013

본 연구의 목적은 모바일 애플리케이션 마켓 지속적 이용의도의 선행요인을 도출하고, 이들 선행요인들과 지속적 이용의도 간의 구조적 관계를 규명하고자 하는 것이다. 유선 인터넷 및 모바일 서비스와 관련된 기존 문헌을 심도 있게 검토하여 모바일 애플리케이션 풍부성, 브랜드 인지도, 이용자 습관 및 이용자 충성도를 지속적 이용의도의 선행요인으로 도출하였으며, 이들 선행요인들과 지속적 이용의도 간의 구조적 관계를 실증적 연구방법을 이용하여 검증하였다. 분석결과, 모바일 애플리케이션 풍부성은 브랜드 인지도와 이용자 충성도에 긍정적인 영향을 미치는 것으로 나타났다. 또한 브랜드 인지도는 이용자 습관과 이용자 충성도 형성에 중요한 역할을 하는 것으로 나타났으며, 이용자 습관은 이용자 충성도와 지속적 이용의도의 주요 결정요인으로 검증되었다. 마지막으로 이용자 충성도는 지속적 이용의도에 유의미한 수준에서 긍정적인 영향을 미치는 것으로 나타났다.

• 한국컴퓨터정보학회논문지
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• 제24권7호
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• pp.45-52
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• 2019

With the popularity of mobile Internet and smart phones, the domestic digital music access platform has entered a period of rapid development. Existing studies in the academic circle have shown that experience has a positive impact on user perception and loyalty. However, the research on the relationship between brand loyalty, user perception and user experience of Internet products has not received much attention. Starting from the brand loyalty theory and user experience theory, this paper explores the mechanism of user experience, user perception and brand loyalty of digital music access platform. Based on the development status of digital music access platform in China, the purpose is to explore how the user experience of the mainstream digital music access platform can affect Usefulness Perception, Epidemic Perception. And to explore how the Usefulness Perception, Epidemic Perception can affect users' brand loyalty. also further explore the role of users' perception in this process to understand the relationship between brand and user experience. In practical operations, 398 formal questionnaires were issued online to collect first-hand data, and reliability analysis, factor analysis, correlation analysis and hypothesis analysis were carried out successively on the data in the later stage. Through research, it is found that the user experience of digital music access platform has a partial significant impact on the perception and loyalty of applications. The visual presentation and emotional feelings of digital music access platform are positively correlated with the perceived usefulness of applications. The visual presentation and emotional feelings of digital music access platform are positively correlated with the perceived popularity of applications. The e perceived usefulness and perceived popularity of the digital music access platform are positively correlated with the loyalty of the application. Through this research, it has certain guiding significance to the promotion of digital music access platform's brand loyalty degree.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권1호
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• pp.1-19
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• 2021

The graph-based tag recommendation algorithm FolkRank can effectively utilize the relationships between three entities, namely users, items and tags, and achieve better tag recommendation performance. However, FolkRank does not consider the internal relationships of user-user, item-item and tag-tag. This leads to the failure of FolkRank to effectively map the tagging behavior which contains user neighbors and item neighbors to a tripartite graph. For item-item relationships, we can dig out items that are very similar to the target item, even though the target item may not have a strong connection to these similar items in the user-item-tag graph of FolkRank. Hence this paper proposes an improved FolkRank algorithm named FolkRank++, which fully considers the user-user and item-item internal relationships in tag recommendation by adding the correlation information between users or items. Based on the traditional FolkRank algorithm, an initial weight is also given to target user and target item's neighbors to supply the user-user and item-item relationships. The above work is mainly completed from two aspects: (1) Finding items similar to target item according to the attribute information, and obtaining similar users of the target user according to the history behavior of the user tagging items. (2) Calculating the weighted degree of items and users to evaluate their importance, then assigning initial weights to similar items and users. Experimental results show that this method has better recommendation performance.