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The research on new and high technology enterprise’s knowledge governance performance
Luo Min, Zhang Shengyi, Liu Yongjun
2010, 31(3):
1-9 .
Abstract: By taking knowledge resources and knowledge’s nature as independent variables, mechanism design of knowledge market, construction of social interaction and practice community as interference variables, and knowledge’s governance performance as dependent variables, a research structure is constructed. A multiple regression analysis model is applied to verify research assumptions; it is found that there is a significant influence on financial performance and organizational effectiveness by organizational knowledge resources, knowledge’s nature, such as dispersed and embedded knowledge, mechanism design of knowledge market, construction of social interaction and practice community. Moreover, it can promote effects of interactive between organizational knowledge, implicit and complexity knowledge, and knowledge governance performance by well-designed mechanism of knowledge market, construction of social interaction and practice community. As a result, it is suggested that the best way for high-tech enterprises to achieve and strengthen organizational innovation, enhance knowledge governance performance is to augment exclusion of knowledge resources increasingly, design well-mechanism of knowledge market, construct social interaction and practice community, make the best use of diversified channels of exchanges, establish a efficient system technology.
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