870,255 research outputs found

    Importance of mutual benefits in online knowledge sharing communities

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    The sustainability of knowledge sharing e-communities is a major issue at present. A hypothesis was proposed at the outset in the paper that the provision of mutual benefits among participants will lead to positive participation. Drawing from the economic and social theories, a framework for analysis was developed and tested in an empirical study. The preliminary results demonstrated a direct relationship between mutual benefits and the level of participation, and hence supported the hypothesis

    Knowledge sharing in online communities

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    As organizations increase their offshore software development efforts, they must develop new methods and models for handling the vast amount of knowledge involved in these projects. Successful knowledge management and transfer is considered key to the success of contemporary organizations. When transferring knowledge to other operating units of a multi national company, the overall goal is to successfully implement the knowledge sent to the receiver. Cultural differences however, can interfere with successful knowledge management intentions. This paper investigates storytelling as a tool to transfer knowledge between global corporate units. A case study on how this instrument is used to communicate knowledge between a German and an Indian IT company gives first insights into factors that influence implementation success

    Online communities: utilising emerging technologies to improve crime prevention knowledge, practice and dissemination

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    Foreword: Online communities are increasingly being recognised as a way of sharing ideas and knowledge among different practitioner communities, particularly when practitioners are not able to meet face to face. This paper explores the considerations associated with establishing online communities for crime prevention practitioners, drawing on research from across the community of practice, online community and knowledge management sectors. The paper provides an overview of the administrative considerations of online community development, as well as the key barriers and enablers to practitioner engagement in an online community, and the potential implications for a crime prevention-specific practitioner community. As such, it is a useful tool for those in the crime prevention sector wanting to maximise the influence of an existing online community or to guide those contemplating the implementation of an online community of practice in the future

    Challenges in Bridging Social Semantics and Formal Semantics on the Web

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    This paper describes several results of Wimmics, a research lab which names stands for: web-instrumented man-machine interactions, communities, and semantics. The approaches introduced here rely on graph-oriented knowledge representation, reasoning and operationalization to model and support actors, actions and interactions in web-based epistemic communities. The re-search results are applied to support and foster interactions in online communities and manage their resources

    Online Naturalization: Evolving Roles in Online Knowledge Production Communities

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    Web-based peer production communities, like Wikipedia and open source software, have created digital artifacts of growing cultural, financial, and technological importance. Understanding how and why people choose to join these communities, and why they eventually leave them, is therefore an important topic. We take all of the edit data from six years of activity on the online genealogy wiki WeRelate, and create monthly snapshots of behavior and interaction networks for all 9,570 users who edited the site. We use machine learning to cluster these behavioral snapshots into four behavioral roles . We identify one of these roles as being indicative of a community of practice, and we investigate how users move from role to role. As in many other online, peer production projects, the vast majority of users are only active for a short time, and contribute very little while a small number of users contribute a great deal. Figuring out how to recruit and encourage these users is very important to the success of peer production projects. We use visualizations, regression analysis, and stochastic actor-oriented modeling of four different types of interaction networks to study whether these very active users represent a community of practice that new users can learn from and join. We also study how people leave the community, and whether there are signals that someone is starting to disengage. We do not find much evidence that these users go through a period of legitimate peripheral participation or acculturation. Rather, those who will become core members show behavior that is similar to long-term core members from their first few months on the site. We find that these core members show a clear trend of disengaging from the community over a few months before leaving completely, indicating a period where intervention may be effective. We also find a potentially effective intervention, as those who are actively interacting with others who are core members are less likely to disengage. Our findings provide implications for understanding how online communities function, how interaction networks influence user activity, and how those who are members of these communities might make them more effective. The study also provides a new methodological framework for studying the influence of communicative interactions in online communities

    Knowledge Sharing in Online Cancer Survivorship Community System: A Theoretical Framework

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    Innovative uses of technology to support patient to patient or patient to clinician knowledge sharing are emerging through professional health institutions and communities that take advantage of social networking technologies. Although successful online health communities exist, many such communities do fail. Researchers have stated that the reason for these failures is due to the lack of evidence-based, scientific guidance in building and managing online communities. Knowledge sharing among participants is important for the survival of online health communities. The most difficult and challenging task for online health communities is to understand why certain participants share knowledge in a sustained manner while others do not. The purpose of this study is to identify the conditions that will predict and prescribe a successful online health community. We propose a theoretical model that presents computer self-efficacy, system capabilities, patient characteristics, appropriation support as determinants of knowledge sharing. We also propose that knowledge sharing affects satisfaction, and frequent usage of online health community networks within online cancer survivorship community
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