• Title/Summary/Keyword: 지식커뮤니티

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A Study on knowledge management of web search engine based on knowledge search community (웹 검색엔진의 지식검색커뮤니티 기반 지식관리에 관한 연구)

  • 이두영;강순희
    • Proceedings of the Korean Society for Information Management Conference
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    • 2003.08a
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    • pp.143-152
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    • 2003
  • 본 연구는 인터넷 환경에 따른 정보의 지식화현상과 지식경영 추세에 따라 새롭게 등장한 웹 검색엔진의 지식검색커뮤니티 기반 지식관리에 관한 연구이다. 아직까지 지식검색커뮤니티에 대한 연구를 거의 찾아볼 수 없는 상황에서, 본 연구는 네이버의 ‘지식 iN’, 야후의 ‘지식검색’, 엠파스의 ‘지식거래소’를 대상으로 웹 검색엔진의 지식검색커뮤니티를 살펴보았다. 지식의 개념을 통해 지식 순환과정을 고찰하였고, 순환과정의 각 단계별로 지식관리를 연구하였다. 더불어 커뮤니티 기반의 지식창출과 지식공유단계에 대한 이용자연구를 하고자 한다. 이를 바탕으로 보다 건전하고 활발한 지식공유문화조성을 위한 지식검색커뮤니티의 활성화 방안을 제안하고자 한다.

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Research Trends of the Credibility of Information in Social Q&A (지식검색커뮤니티 정보의 신뢰성에 관한 연구 동향 분석)

  • Kim, Soo-Jung
    • Journal of the Korean Society for information Management
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    • v.29 no.2
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    • pp.135-154
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    • 2012
  • Social Q&A sites such as Yahoo! Answers and Naver Knowledge-iN have become a viable method for information seeking and sharing on the Web. Considering their immense popularity and growing concerns about their validity as information sources, questions about the credibility of the information provided on social Q&As are timely. Therefore, this paper summarizes recent research on credibility related to the social Q&A context, identifies research gaps, and presents a research agenda for future research to advance this newly developing area.

Analysis of Knowledge Community for Knowledge Creation and Use (지식 생성 및 활용을 위한 지식 커뮤니티 효과 분석)

  • Huh, Jun-Hyuk;Lee, Jung-Seung
    • Journal of Intelligence and Information Systems
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    • v.16 no.4
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    • pp.85-97
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    • 2010
  • Internet communities are a typical space for knowledge creation and use on the Internet as people discuss their common interests within the internet communities. When we define 'Knowledge Communities' as internet communities that are related to knowledge creation and use, they are categorized into 4 different types such as 'Search Engine,' 'Open Communities,' 'Specialty Communities,' and 'Activity Communities.' Each type of knowledge community does not remain the same, for example. Rather, it changes with time and is also affected by the external business environment. Therefore, it is critical to develop processes for practical use of such changeable knowledge communities. Yet there is little research regarding a strategic framework for knowledge communities as a source of knowledge creation and use. The purposes of this study are (1) to find factors that can affect knowledge creation and use for each type of knowledge community and (2) to develop a strategic framework for practical use of the knowledge communities. Based on previous research, we found 7 factors that have considerable impacts on knowledge creation and use. They were 'Fitness,' 'Reliability,' 'Systemicity,' 'Richness,' 'Similarity,' 'Feedback,' and 'Understanding.' We created 30 different questions from each type of knowledge community. The questions included common sense, IT, business and hobbies, and were uniformly selected from various knowledge communities. Instead of using survey, we used these questions to ask users of the 4 representative web sites such as Google from Search Engine, NAVER Knowledge iN from Open Communities, SLRClub from Specialty Communities, and Wikipedia from Activity Communities. These 4 representative web sites were selected based on popularity (i.e., the 4 most popular sites in Korea). They were also among the 4 most frequently mentioned sitesin previous research. The answers of the 30 knowledge questions were collected and evaluated by the 11 IT experts who have been working for IT companies more than 3 years. When evaluating, the 11 experts used the above 7 knowledge factors as criteria. Using a stepwise linear regression for the evaluation of the 7 knowledge factors, we found that each factors affects differently knowledge creation and use for each type of knowledge community. The results of the stepwise linear regression analysis showed the relationship between 'Understanding' and other knowledge factors. The relationship was different regarding the type of knowledge community. The results indicated that 'Understanding' was significantly related to 'Reliability' at 'Search Engine type', to 'Fitness' at 'Open Community type', to 'Reliability' and 'Similarity' at 'Specialty Community type', and to 'Richness' and 'Similarity' at 'Activity Community type'. A strategic framework was created from the results of this study and such framework can be useful for knowledge communities that are not stable with time. For the success of knowledge community, the results of this study suggest that it is essential to ensure there are factors that can influence knowledge communities. It is also vital to reinforce each factor has its unique influence on related knowledge community. Thus, these changeable knowledge communities should be transformed into an adequate type with proper business strategies and objectives. They also should be progressed into a type that covers varioustypes of knowledge communities. For example, DCInside started from a small specialty community focusing on digital camera hardware and camerawork and then was transformed to an open community focusing on social issues through well-known photo galleries. NAVER started from a typical search engine and now covers an open community and a special community through additional web services such as NAVER knowledge iN, NAVER Cafe, and NAVER Blog. NAVER is currently competing withan activity community such as Wikipedia through the NAVER encyclopedia that provides similar services with NAVER encyclopedia's users as Wikipedia does. Finally, the results of this study provide meaningfully practical guidance for practitioners in that which type of knowledge community is most appropriate to the fluctuated business environment as knowledge community itself evolves with time.

The Effects of Motivational Factors on the Intention to Contribute Knowledge to Online Communities (온라인 지식 커뮤니티에서의 지식기여 의도의 동기요인)

  • Kim, Jong-Ae
    • Journal of the Korean Society for Library and Information Science
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    • v.43 no.3
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    • pp.297-312
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    • 2009
  • This study examined the intrinsic and extrinsic motivational factors affecting the intention to contribute knowledge to online communities. It examined enjoyment, knowledge self-efficacy, and commitment as the intrinsic motivational factors, and anticipated reciprocity, image, and subjective norm as the extrinsic motivational factors. The results showed that intrinsic motivational factors, enjoyment and knowledge self-efficacy were found to have significant influences on attitudes towards knowledge contribution to online communities, but commitment was not. Of the extrinsic motivational factors, anticipated reciprocity was found to have a significant influence on attitudes toward knowledge contribution to online communities, but image and subjective norm were not.

A Study on the Effects of Learners' Knowledge Sourcing Behavior on the Knowledge Utilization Outcomes in Social Learning Community (소셜 러닝 커뮤니티에서 학습자의 지식소싱 행위가 지식활용 성과에 미치는 영향)

  • Han, Sang-Woo
    • Journal of the Korean Society for information Management
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    • v.31 no.2
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    • pp.173-188
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    • 2014
  • This research aims to analyze empirically the effects of learners' knowledge sourcing behavior on the knowledge utilization outcomes in a social learning community. This kind of virtual community is of service to users who not only produce but also share a variety of valuable knowledge which is created based on relationships and interactions among learners. In order to conduct the study, a group of learners was made of 55 undergraduate students who were majoring in social science. The data was collected by online survey at the end of the term and multiple regression methods have been used for empirical analysis. The study shows that dyadic knowledge sourcing and published knowledge sourcing both have significant effects on knowledge reuse and knowledge adaptation. In addition, knowledge adaptation and knowledge innovation were affected by group knowledge sourcing. The research results help to select appropriate knowledge sourcing behavior depending on one's purpose of knowledge use.

Operation Strategy in Online Knowledge Sharing Community (지식공유 목적의 가상 커뮤니티 운영전략에 관한 연구)

  • Lee, Kook-Yong
    • The Journal of Society for e-Business Studies
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    • v.14 no.4
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    • pp.95-118
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    • 2009
  • Virtual community, which is formed on the internet, is expected to serve the needs of members for communication, information, and knowledge sharing. The executives of organizations should consider operating strategy of virtual community as a new innovation or knowledge pool since members share knowledge. However, many virtual community have failed due to members' low willingness to engage and furthermore to share knowledge with other members. Thus, there is a need to understand and foster the determinants of members' loyalty in virtual community. The objective of this study is to develop an integrated model designed to investigate and explain the relationships between contextual factors, personal perceptions of virtual community, usefulness, ease of use, familiarity, members' trust, reputation, community trust, attitude, satisfaction and loyalty. Empirical data was collected from 286 internet users and tested using structural equation modeling to verify the fit of the hypothetical model. The results show that the usefulness, familiarity significantly influences attitude and members' trust is significantly influence the community trust. And I confirmed that ease of use and attitude play the role of determinants in making the satisfaction, community trust and reputation influence the satisfaction that have the direct effect to making the loyalty. The results of the study can be used to identify the loyalty in virtual community. By investigating the impacts of contextual factors and personal perceptions on virtual community, the integrated model better explains behavior than other proposed models. This study might help executives of virtual communities and organizations to manage and promote community trust, attitude, satisfaction to stimulate members' willingness to revisit the community and futhermore enhance their virtual community loyalty.

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The Effects on Knowledge Contribution in Online Communities (온라인 커뮤니티 지식공헌에 미치는 영향요인)

  • Shin, Ho-Kyoung;Lee, Ki-Won;Kim, Kyeong-Jun
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.4
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    • pp.153-160
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    • 2009
  • This study investigated what factors influence the knowledge contribution in online communities. Based on the theoretical framework like self-presentation theory and organizational citizenship behavior theory, we developed the research model and proposed four hypotheses. In order to test our hypotheses with an empirical study, we have conducted a survey which resulted in 192 valid responses in the final sample. The PLS analysis results indicate that knowledge contribution is influenced by self-presentation, innovation, organizational citizenship behavior, and affection similarity of online community users. Practical implications of these findings and future research implications are also discussed.

Future Direction of Expert Communities (전문가 커뮤니티의 발전 방향)

  • 이주영;한선화
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2003.11a
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    • pp.517-524
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    • 2003
  • 현재 전 세계 각국은 지식 경쟁력 확보에 혈안이 되어 있으며, 우리나라는 풍부한 인터넷 인프라를 구비하여 지식 강국으로 발돋움하기 위한 충분한 토대를 마련하고 있다. 특히, 인력은 인터넷 시대의 핵심적 지식 자원으로서, 전문가 두뇌 연계 망(네트워크)의 구축과 운영을 통해 해당 분야 전문가간 협력 및 교류가 진행되면, 지식 정보의 동시 생성, 공유, 활용 체제의 확립이 가능하다 전문가 커뮤니티의 구성원은 정보의 공유와 확산에 자발적으로 기여하는 지식의 선 순환 구조를 이루게 될 것이다. 본 논문에서는 국내외 과학기술 전문가로 구성된 한민족과학기술자 네트워크(KOSEN, www.kosen21.org)를 사례로 전문가 네트워크의 역할과 특징을 살펴보고, 지식 기반 사회에서 전문가 네트워크의 발전 방향을 제안하고자 한다. KOSEN은 지식의 생성, 공유, 활용 등의 지식관리 프로세스를 지원하는 과학기술 전문가 커뮤니티이다. 향후 인적 자원 및 정보 자원의 적절한 연계를 통해 지식의 활용 측면을 더욱 확대하여 본격적인 지식 정보 활용의 장으로 거듭나야 한다. 컨텐트 가치증대를 통한 전문가 참여 확대, 전문가들간 상호 연계의 확대를 통한 소 공동체 형성, 전문가들간 상호 학습, 정보 거래 메커니즘 구축 등의 다양한 방안을 통해 보완될 것으로 기대한다.

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Analysis on Factors Affecting Knowledge Sharing Behavior in Virtual Community (가상커뮤니티에서 지식공유 행동에 영향을 미치는 요인 분석)

  • Park, Kyung-Soo;Lim, Yong-Hwan
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.3
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    • pp.38-53
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    • 2008
  • This study focuses on identifying motivation factors affecting knowledge sharing behavior in virtual communities. To achieve this research objective, a research model has been developed through two major coordinated theories such as social cognitive theory(self-efficacy and community-related outcome expectation) and social exchange theory (codification effort, image, reciprocity, and enjoyment in helping others). 246 samples have been collected and simple regression and multiple regression methods have been used for empirical analysis. The research result is that self-efficacy has a positive influence on image, reciprocity, enjoyment in helping others, and community-related outcome expectation and thus this result reveals that self-efficacy indirectly affects knowledge sharing behavior. Among the antecedents of knowledge sharing behavior, codification effort, enjoyment in helping others and community-related outcome expectation are significant, but image and reciprocity are not. The research results help to derive practical strategic implications related to knowledge sharing to activate a virtual community.

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Design of Community Blog Page : cLOG (커뮤니티 블로그의 설계)

  • 유진환;김길성;편현장;이진아;한영석
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.595-597
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    • 2004
  • 본 논문에서는 인터넷이 우리 생활의 일부가 되면서 인간관계 형성의 하나의 방법으로 잘 알려진 블로그(weB Log, blog) 및 미니홈페이지 (mini homepage)의 문제점을 지적 하고, 그 문제점을 보완하여 구현된 커뮤니티 블로그(Community bLOG, cLOG)에 대해서 설명한다. 기존의 서비스는 학교와 같은 열린 커뮤니티에서 구성원간 조직적인 체계를 이루기 어렵다. 커뮤니티 블로그는 지식창출과 지식 공유를 더 효과적으로 하게 하고, 조직의 구조와 구성원간의 관계를 모델링하고 활용할 수 있게 하여 커뮤니티의 기능적 효율성을 높인다. 사이트 중심이 아닌 각 이용자 중심의 인터페이스인 컨텐츠 도메인(contents domain)을 유기적으로 접목시켜 개인 중심의 지식 창출 환경을 구축한다.

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