This study has adopted theoretical frameworks of social capital, social networks and the Community of Practice to study how different types of relationships influence the knowledge sharing relationship. This paper aims to suggest that building social capital, particularly structural capital, is part of expected key in knowledge sharing networks.,Using social capital theory, through social network analysis of 111 management students in the US business school, identified key social capital dimension in knowledge sharing networks. To incorporate the interdependency among examined relationships, network logistic regression with the quadric assignment procedure was used.,The proposed research model showed that about 98% of the existence of knowledge sharing relationship could be correctly predicted. Among three dimensions of social capital, this study found a superior influence of the structural dimension (i.e. task interdependence) in predicting having a knowledge sharing relationship. The significant effect of trust and friendship network on knowledge sharing was also found. Implications for practice and suggestions for future research were also discussed.,Existing literature as to how people learn through knowledge sharing is limited in at least two important ways. First, scholars of knowledge management acknowledge that organizational knowledge originates from dyadic relationships between or among individuals at work. However, prior research has heavily relied on survey responses from one’s perception of knowledge sharing experience, viewing as unidirectional. Second, substantial attention of prior research has been devoted to the factors of individual attributes. Emphasizing individual interactions as the fundamental building blocks of learning, this study focuses more on relational characteristics of knowledge sharing based on social capital theory.

中文翻译：

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通过知识共享建立社会资本和学习关系：管理学生案例的社会网络方法

这项研究采用了社会资本，社会网络和实践社区的理论框架来研究不同类型的关系如何影响知识共享关系。本文旨在建议，建立社会资本，特别是结构性资本，是知识共享网络中预期关键的一部分。使用社会资本理论，通过对美国商学院111名管理专业学生的社会网络分析，确定了关键的社会资本维度。知识共享网络。为了结合被检查关系之间的相互依赖性，使用二次分配程序进行网络逻辑回归。所提出的研究模型表明，可以正确预测约98％的知识共享关系存在。在社会资本的三个维度中，这项研究发现，在预测具有知识共享关系时，结构维度（即任务相互依赖）具有更好的影响。还发现了信任和友谊网络对知识共享的显着影响。还讨论了对实践的暗示和对未来研究的建议。关于人们如何通过知识共享学习的现有文献至少在两个重要方面受到限制。首先，知识管理学者承认组织知识源自工作个体之间或个体之间的二元关系。但是，先前的研究在很大程度上依赖于个人对知识共享经验的看法（被认为是单向的）的调查响应。第二，先前研究的实质注意力已集中在个体属性的因素上。