知识网络的悖论:为什么更多的知识并不总是让你更成功

Cindi T. Smatt, Renée M. E. Pratt, M. Wasko
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引用次数: 1

摘要

本研究的目的是进一步了解组织内的知识交换,通过检查个人之间的二元关系,在使用的沟通渠道(结构资本)、知识意识(认知资本)和他们的关系质量(关系资本)方面,如何影响知识交换的机会(获得建议),并最终影响个人绩效。使用社会网络分析对数据进行分析,以确定个人网络中心性,并使用结构方程模型在个人层面上检验假设。研究结果表明:(1)与可信资源面对面的渠道是最受欢迎的敏感知识交流方式;(2)了解专业知识的所在地和资源的可用性是研究知识交流的关键;(3)知识网络的中心性不会导致个人绩效的统一提高。虽然技术有可能通过消除同一时间、同一地点互动的障碍来提高知识交流的效率,但计算机媒介的交流实际上可能会抑制隐性知识和建议的交流,因为这种交流的媒介是精益的,从而对绩效产生负面影响。利用网络视角,本研究通过研究个人使用不同的沟通渠道分享知识与知识网络中的中心性之间的关系,以及这如何影响个人绩效,为组织内学习网络的文献提供了补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Paradox of Knowledge Networks: Why More Knowledge Does Not Always Make You More Successful
The purpose of this research was to further the understanding of knowledge exchange within organisations by examining how the dyadic relationships between individuals, in terms of the channels of communication used (structural capital), knowledge awareness (cognitive capital), and the quality of their relationships (relational capital), influence opportunities for knowledge exchange (access to advice), and ultimately individual performance. data were analysed using social network analysis to determine individual network centralities, and structural equation modelling was used to test the hypotheses at the individual level. The findings suggest (1) face-to-face channels with trusted sources are the most preferred method for exchanging sensitive knowledge, (2) knowing where expertise resides and source availability is key to research knowledge exchange, and (3) centrality in knowledge network does not result in uniform increases in individual performance. While technology has the potential to increase the efficiency of knowledge exchange by removing the barriers to same-time, same-place interactions, computer-mediated communication may actually inhibit the exchange of tacit knowledge and advice because of the lean medium of the exchange, negatively impacting performance. Using a network perspective, this study adds to the literature on intra-organisational learning networks by examining how an individual’s use of different communication channels to share knowledge is related to centrality in knowledge networks, and how this impacts individual performance.
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