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A study on knowledge quality and job performance of knowledge workers by analyzing content of social network sites using sentiment network analysis

机译:基于情感网络分析的社交网站内容对知识型员工知识质量和工作绩效的研究

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摘要

The importance of knowledge quality has become a key research area in recent research works. Many organizations realize that benefits of knowledge creation and sharing cannot be obtained unless quality of knowledge is achieved. This research investigates the perception of knowledge workers that uses social network sites as a means for social interaction, collaboration and knowledge sharing. Theudentries posted by these knowledge workers on the social network sites are gathered and studied with the presence of the element of sentiment such as emotion using sentiment network analysis. Based on the analysis, the results investigate the relationship between sentiment and quality of knowledge shared among knowledge workers on social networking sites and individual job performance. This research will analyse the improvements of employees’ job performance through the quality knowledge using interview,udquestionnaire survey, and text analysis to look for conversational patterns and element of sentiment. Thisudresearch will investigate a number of knowledge driven companies that use social network sites. Structural Equation Modelling (SEM) is used to analyse responses collected from survey data.
机译:知识质量的重要性已成为近期研究工作中的关键研究领域。许多组织意识到,除非获得知识的质量,否则无法获得知识创造和共享的好处。这项研究调查了使用社交网站作为社交互动,协作和知识共享手段的知识工作者的感知。使用情感网络分析,在存在情感等情感元素的情况下,收集和研究这些知识工作者在社交网站上发布的 duttry。在分析的基础上,结果调查了社交网站上知识工作者之间的情感和知识共享质量与个人工作绩效之间的关系。这项研究将通过使用面试,问卷调查和文本分析来寻找对话模式和情感要素,通过质量知识来分析员工工作绩效的改善。这项 udresearch将调查许多使用社交网站的知识驱动型公司。结构方程模型(SEM)用于分析从调查数据收集的响应。

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