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A dyadic perspective on knowledge exchange

机译:知识交流的二元视角

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This Study provides insights into the relational characteristics of internal knowledge markets. Many knowledge initiatives are still based on the incorrect assumption that knowledge flows without friction and that people are willing, to share knowledge with no concern about what they may gain or lose by doing so. However, such one-sided transactions seldom occur in real life. As a result, this study attempts to develop a sender-receiver (dyadic) framework to recognise the existence of knowledged e markets and understand the mechanisms of knowledge markets. It is important to note that the unit of analysis ill this Study is the relationship between pairs of individuals and, thus, all of the variables are dyadic. To analyse the data at the dyadic level, we employ social network analysis and the Multiple Regression Quadratic Assignment Procedure (MRQAP). However, as research that is based on dyadic-level; analysis is relatively scant, this raises some concerns about the reliability of the results. To address these concerns, we also analysed out data at the nodal (individual) level using the Partial Least Square (PLS) technique.
机译:这项研究提供了对内部知识市场的关系特征的见解。许多知识计划仍然基于错误的假设,即知识流动没有摩擦,人们愿意分享知识,而不用担心这样做会带来什么或失去什么。但是,这种单方面交易很少在现实生活中发生。结果,本研究试图建立一个发送者-接收者(二元)框架,以认识知识型电子市场的存在并了解知识市场的机制。重要的是要注意,本研究的分析单位是个人对之间的关​​系,因此所有变量都是二元的。为了分析二元数据,我们采用了社交网络分析和多元回归二次赋值程序(MRQAP)。但是,作为基于二元级的研究;分析相对较少,这引起了对结果可靠性的一些担忧。为了解决这些问题,我们还使用偏最小二乘(PLS)技术分析了节点(个人)级别的数据。

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