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Methods for Analysis of Social Networks Data in HRD Research

机译:人力资源开发研究中的社交网络数据分析方法

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The Problem. Many phenomena in human resource development (HRD) research unfold in the social context. Most of the variables HRD researchers study, even if these are individual-level variables, are inevitably affected by the formal and informal network of actors in which an individual finds oneself. This relational influence is commonly ignored in studies of performance, learning, change, and other questions. The Solution. Social networks analysis (SNA) is a methodology that makes it possible to take the relational aspect into account. It allows researchers to model the social capital of an actor and examine how connectivity and position in the network interacts with or influences important outcomes. The Stakeholders. Researchers in the field of HRD will be able to uncover a wealth of new information and gain a new perspective by including SNA in their toolkit. This article provides the researchers with an introduction to the methods and provides suggestions for their application.
机译:问题。人力资源开发(HRD)研究中的许多现象都是在社会背景下展开的。人力资源开发研究人员研究的大多数变量,即使它们是个人层面的变量,也不可避免地受到个体所处的正式和非正式参与者网络的影响。在绩效,学习,变化和其他问题的研究中,这种关系影响通常被忽略。解决方案。社交网络分析(SNA)是一种可以考虑到关系方面的方法。它使研究人员可以对演员的社会资本进行建模,并检查网络中的连通性和位置如何与重要结果相互作用或影响重要结果。利益相关者。通过将SNA纳入他们的工具包,HRD领域的研究人员将能够发现大量新信息并获得新的观点。本文向研究人员介绍了这些方法,并提供了有关其应用的建议。

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