• Knowledge Management Research
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• v.14 no.2
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• pp.71-88
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• 2013

The aim of this study was to investigate why people voluntarily contribute knowledge to others, primarily strangers, in the electronic network of practice for job examination expected potential competing. This paper is organized as follows. First, we introduce the electronic network of practice which is the knowledge sharing community for job examination, and discuss the key issues for understanding knowledge sharing in these networks on the basis of individual motivations, relational capital, sense of community, and sense of rivalry to develop a research model for this study. To test the proposed research model, we adopted the survey method for data collection, and examined our hypotheses by applying the multiple regression analysis method to the collected data. Our unit of analysis was the individual. The findings of this study show that the intention of knowledge sharing is influenced by the reputation and the enjoy helping as the factors of individual motivations, by the reciprocity as the factor of relational capital, and by a sense of rivalry as a psychological factor. Lastly, contributions of this study and future research opportunities are also discussed.

• The Journal of Information Systems
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• v.20 no.3
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• pp.209-235
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• 2011

비즈니스 조직에서 집단지성을 경쟁우위의 중요한 요소로 활용하는 사례가 증가하고 있다. 인터넷과 소셜 네트워크 서비스는 물론이고 위키와 같은 편집도구 등은 집단지성을 가능하게 하는 대표적인 정보기술이다. 그러나 집단지성은 전문가 지식에서와는 다른 품질의 문제가 제기되기도 한다. 따라서 본 연구에서는 집단지성의 품질에 영향을 주는 요인을 분석하는데 그 목적이 있다. 선행연구를 통해 집단지성의 품질에 영향을 주는 개인의 동기(love, money, glory, professional development), 집단특성(expertise, diversity, size), 집단지성의 도구(navigating, usefulness, agility, user preference) 차원에서 총 11개의 영향요인을 파악하였다. 조직 경쟁우위의 핵심으로 집단지성을 활용하는 대표적인 성공사례인 Threadless, InnoCentive, iStockphoto, Panda Security, Wikipedia를 분석하여 3개 차원에서 11개의 명제를 제안하였다. 사례분석의 결과, 개인의 동기, 집단특성, 집단지성을 위한 도구는 집단지성의 품질에 긍정적 영향을 주는 것으로 나타났다. 예를 들어, 개인적 동기가 뚜렷하고 다양한 특성을 지닌 다수가 참여할수록 소집단에서보다 더 잘 문제를 해결하고 있는 것으로 분석되었다. 따라서 집단지성의 품질을 개선하고 이를 통해 혜택을 얻기 위해서 조직에서는 다양성을 지닌 대규모 커뮤니티를 구성하고, 참여에 대한 동기를 부여하고, 적절한 집단지성의 도구를 선택하여 활용하여야 한다.

• The Journal of the Korea Contents Association
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• v.6 no.3
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• pp.116-124
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• 2006

Mentoring is defined as a sustained relationship between a mentor and a mentee. Through continued involvement, the mentor offers support, guidance, and assistance as the mentee faces new challenges, or works to correct earlier problems. A mentoring for cooperative learning has many merits including higher order thinking, collaborative competencies, socialization and development. In this paper, a U(Ubiquitous)-CoMM(Community of mentor & mentee) system was supposed to design an instructional learning strategy using cyber community of mentor & mentee in a ubiquitous environment. The proposed system provides participants with campus mentoring program in which they share their experience and expertise. By experimental result showed that the proposed system is effect in education about cooperative learning than existing system.

• Journal of Korean Academy of Nursing
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• v.35 no.7
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• pp.1258-1267
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• 2005

Purpose: This study was aimed to evaluate the effect of an internet community on knowledge, self-efficacy, and self-care behavior in workers with hypertension. Method: The research design used was a nonequivalent control group pre-test and post-test design. Sixty hypertensive workers participated in this study(Exp.=29, Cont.=31). The data was collected from the 3rd of November 2003 to the 27th of February 2004 using an interview with questionnaires. Information related to hypertension was provided on the internet community weekly and an e-mail newsletter was sent in order to increase participation in the internet community. We used a tool developed by Park Young-Im(1994) that measured knowledge related to hypertension and self-efficacy. A tool developed by Jung Mi-Young(2001) was used for self-care behavior. The collected data was analyzed with an $x^2-test$ and t-test using the SPSS WIN 10.0 program. Result: The internet community helped workers with hypertension to increase their knowledge related to hypertension, as well as increasing their self-efficacy and self-care behavior. Conclusion: An internet community could be applied as hypertensive nursing intervention.

• Journal of Information Technology Services
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• v.18 no.3
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• pp.95-115
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• 2019

In recent years, social media that has emerged with the development of network technology has changed the channels of information dissemination. The social Q&A community is a platform for knowledge-sharing activities in a question-and-answer manner based on Web 2.0. In knowledge-sharing activities, valuable new knowledge continues to be produced and will surely bring great benefits to individuals or businesses. In the social Q&A community, the user's subjective factors play a crucial role in influencing the user's continued use and participation in knowledge-sharing activities. In order for users to actively participate in knowledge-sharing activities in the community, it needs to grasp their subjective ideas. This study explores the issue of sharing knowledge by users of the social Q&A community "Zhihu", or how to drive community revitalization efforts from these. The three factors self-efficacy, self-development motivation, and social comparison tendencies were derived, and identify their relationship with knowledge-sharing activities and community-boosting efforts through empirical analysis. In addition, the influence of knowledge acquisition on knowledge provision was investigated through sense of reciprocity. Implications of the study findings and the future research directions were also discussed.

• Journal of The Korean Association of Information Education
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• v.13 no.3
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• pp.273-280
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• 2009

The internet becomes a new communication tool in the knowledge and information society and the people are expanded at the place of information interchange and exchange of view. In recent robot education institutions provide their own official homepages to introduce the robot educational resources. But because they have restrictive searching the functions and providing general robot education resources and don't offer a place that teachers can express their thoughts and share common interests with other users, online community among teachers for robot education and users couldn't have built. In this paper, we propose an Online Robot Education Community(OREC) that teachers and users in different robot education institutions can interchange or share their technical information, learn robot techniques, participate in discussion of their experiences on work, share their common interests, and be provided updated latest news in real-time.

• Journal of the Korean association of regional geographers
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• v.22 no.2
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• pp.397-410
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• 2016

Although industrial complexes have played as an engine of the Korean economy for the last 40 years, the majority of industrial complexes shows limitations to the continuous growth such as a lack of innovation capabilities and social capital, conceived as a key to transforming into clusters of innovation. To overcome those problems, the Korean government embarked on the cluster policy from the mid 2000's, focusing on promoting the endogenous development capabilities of individual industrial complexes. Drawing upon the in-depth case study of the Gumi IT cluster, one of the representative large-scale industrial complexes in Korea, the authors conclude that the cluster policy has contributed to making the Gumi IT cluster enhance the capabilities of endogenous development through the facilitation of self-organizing learning communities within the cluster.

• Information Systems Review
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• v.18 no.3
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• pp.111-135
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• 2016

The major characteristic of open source software (OSS) is innovativeness. Innovativeness stems from the process of sharing and solving technical problems. This study analyzes the impact of voluntary participation and collaboration of OSS developers on sustained participation in the community based on organizational citizenship behavior and social capital theories. Based on Bolino et al. (2002) and Wasko and Faraj (2005), a research model and hypotheses are developed. A total of 152 OSS developers participated in the survey. The hypotheses are tested by LISREL modeling. The results of analysis show that royalty, social participation, and advocacy participation enhance or positively influence social capital. In addition, reciprocity and shared vision reinforce intention of sustained knowledge contribution. However, the result shows a statistically insignificant relationship between social participation and shared vision and between cohesiveness and intention of sustained knowledge contribution.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.43-53
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• 2009

Knowledge retrieval service that uses collective intelligence which has special quality of open structure and can share the accumulative data is gaining popularity. However, acquiring the right needs for users from massive public knowledge is getting harder. Recently, search results from Google which is known for it's exquisite algorism, shows results for collective intelligence such as Wikipedia, Yahoo Q/A at the highest rank. Objective of this paper is to show that most answers come from human and to find the most influential people in on-line knowledge retrieval service. Hereupon, this paper suggest the influence value calculation algorism by analyzing user relation as centrality which social network is based on user activeness and reliance in Naver 지식iN. The influence value calculated by the suggested algorism will be an important index in distinguishing reliable and the right user for the question by ranking users with troubleshooting solutions in the knowledge retrieval service. This will contribute in search satisfaction by acquiring the right information and knowledge for the users which is the most important objective for knowledge retrieval service.

• Journal of KIISE:Databases
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• v.37 no.6
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• pp.343-350
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• 2010

We can get answers we want to know via questioning in Knowledge Search Service (KSS) based on Q&A Community. However, it is getting more difficult to find credible documents in enormous documents, since many anonymous users regardless of credibility are participate in answering on the question. In previous works in KSS, researchers evaluated the quality of documents based on textual information, e.g. recommendation count, click count and non-textual information, e.g. answer length, attached data, conjunction count. Then, the evaluation results are used for enhancing search performance. However, the non-textual information has a problem that it is difficult to get enough information by users in the early stage of Q&A. The textual information also has a limitation for evaluating quality because of judgement by partial factors such as answer length, conjunction counts. In this paper, we propose the QualityRank algorithm to improve the problem by textual and non-textual information. This algorithm ranks the relevant and credible answers by considering textual/non-textual information and user centrality based on Social Network Analysis(SNA). Based on experimental validation we can confirm that the results by our algorithm is improved than those of textual/non-textual in terms of ranking performance.