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首页> 外文期刊>Journal of knowledge management >Knowledge management in a public organization: a study on the relationship between organizational elements and the performance of knowledge transfer
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Knowledge management in a public organization: a study on the relationship between organizational elements and the performance of knowledge transfer

机译：公共组织知识管理：关于组织要素与知识转移绩效的研究

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Relatively little study has been performed on knowledge management and knowledge transfer in the public sector, and even less in the developing countries. This paper investigates the relationship between organizational elements and the performance of knowledge transfer. Five main independent variables were identified - organizational culture, organizational structure, technology, people/human resources and political directives - and these were tested against creation of knowledge assets and knowledge transfer performance using the Spearman rank test. Tacit and explicit knowledge were also tested against knowledge transfer performance. To achieve an in-depth empirical study, the Ministry of Entrepreneur Development of Malaysia was chosen for a case study. The findings are based on replies to a questionnaire survey done from September to December 2001. The results reveal that there are significant relationships between some of the variables and either the creation of knowledge assets or the performance of knowledge transfer. Therefore, it is necessary for organizations to consider some of the elements that show a relationship between the tested variables in implementing a knowledge management strategy in an organization. However, certain variables that did not show any relationship should not be ignored totally, as they are still very important for some organizations.
机译：对公共部门的知识管理和知识转移进行了相对较少的研究，甚至在发展中国家的知识转移。本文调查了组织要素与知识转移的表现之间的关系。确定了五个主要的独立变量 - 组织文化，组织结构，技术，人民/人力资源和政治指令 - 并采用Spearman等级测试对知识资产和知识转移绩效的创建进行了测试。默契和明确的知识也针对知识转移绩效进行了测试。为实现深入的实证研究，选择了马来西亚的企业家发展部门出于案例研究。这些调查结果基于对9月至2001年12月的调查调查的答复。结果表明，一些变量与知识资产的创造或知识转移的表现之间存在显着关系。因此，组织有必要考虑一些在组织中实现知识管理策略的测试变量之间的关系。但是，不应完全忽略没有显示任何关系的某些变量，因为它们对某些组织仍然非常重要。

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