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Knowledge Seeking and Knowledge Sharing in a nonprofit organizational partner network: a social network analysis

机译:非营利组织合作伙伴网络中的知识寻求和知识共享:社交网络分析

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This research empirically examines the online social network of a national, non-profit organization which we refer to as the national alliance to reduce violence (NARV), an organization designed to bridge the gap between non-profit organizations across the US which address the issue of interpersonal violence. As a network of practice, knowledge shared by the nonprofit organizations originates across a breadth of experts in the disciplines of advocacy, science, practice and policy. Two problems served as the motivation for this research. First, how does the online network structure support current knowledge contribution and knowledge retrieval within the network? Second, how could the online network structure enhance knowledge contribution and knowledge retrieval to meet the needs of the organization? We acquired network structure and knowledge sharing data through the collection of survey responses from NARV's membership list. The data were analyzed as a two-mode affiliation network using UCINET, a popular application for social network analysis. For the first research question, we found that the action groups of research and public awareness are positioned to be strong sources of knowledge contribution within the current network due to the number of nodes with whom they are connected. For the second research question, we identified training and mentoring as the action group from which other nodes desire knowledge.
机译:这项研究从经验上考察了一个国家非营利组织的在线社交网络,我们将其称为减少暴力国家联盟(NARV),该组织旨在弥合解决该问题的美国非营利组织之间的鸿沟人际暴力。作为实践网络,非营利组织共享的知识源自倡导,科学,实践和政策等学科的众多专家。有两个问题成为这项研究的动机。首先,在线网络结构如何支持网络中当前的知识贡献和知识检索?第二,在线网络结构如何增强知识贡献和知识检索以满足组织的需求?通过收集NARV成员名单中的调查答复,我们获得了网络结构和知识共享数据。使用UCINET(社交网络分析的流行应用程序)将数据分析为双模式隶属网络。对于第一个研究问题,我们发现研究和公众意识行动小组被定位为当前网络中知识贡献的强大来源,这是由于它们所连接的节点数量众多。对于第二个研究问题,我们将培训和指导确定为其他节点需要知识的行动小组。

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