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논문 기본 정보

저자정보
(효성) (호서대학교)
저널정보
한국지능정보시스템학회 한국지능정보시스템학회 학술대회논문집 한국지능정보시스템학회 2010년 추계학술대회
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    초록·키워드

    Although this study was designed to evaluate internet communities based on knowledge creation and learning. To do so, we created and tested our research model, by using selected 20 different knowledge communities. Using the K-Means Clustering techniques, we found different characteristics and evaluated these characteristics by the criterion. The results of discriminant analysis suggested 4 different models such as ‘Search Engine,’ ‘Open Communities,’ ‘Specialty Communities,’ and ‘Activity Communities.’
    The results of linear regression analysis of expert survey found the impact of knowledge creation. Using linear regression analysis of 30 different knowledge questions for each model, we also found the impact of knowledge use.
    The results of this study indicated that it can cover some reasons for development process of knowledge communities and that it can also create a strategic framework for practical use of knowledge communities.

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      UCI(KEPA) : I410-ECN-0101-2013-003-000516765