| 产学研协同创新团队内部知识转移影响因素模型分析 |
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| 引用本文： | 刘春艳,马海群.产学研协同创新团队内部知识转移影响因素模型分析[J].图书情报工作,2017,61(19):41-49. |
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| 作者姓名： | 刘春艳 马海群 |
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| 作者单位： | 黑龙江大学信息管理学院 哈尔滨 150080 |
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| 基金项目： | 本文系国家社科基金一般项目"新型智库协同知识管理能力与智慧服务创新研究"（项目编号：17BTQ052）和黑龙江省自然科学基金面上项目"黑龙江省产学研联盟知识转移效率评价及其影响因素研究"（项目编号：G2015002）研究成果之一。 |
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| 摘 要： | 目的/意义]识别产学研协同创新团队内部知识转移的主要影响因素,建立知识转移影响因素模型,以期提高知识转移效能,推动产学研协同创新能力。方法/过程]以团队效能理论为基础,以产学研协同创新团队为研究对象,使用定性研究的方法,构建产学研协同创新团队内部知识转移影响因素的"I-P-O"理论模型;通过对各变量研究维度的科学界定,构建知识转移影响因素的概念模型;通过各个影响因素之间的路径分析,最终构建知识转移影响因素的关系模型。结果/结论]构建了包含转移意愿、输出能力、学习能力、先验知识、知识模糊性、渠道丰富性、信任水平、制度协同、政府政策9个自变量,沟通质量、创新支持2个中介变量,知识分享程度、知识吸收能力2个因变量在内的产学研协同创新团队内部知识转移影响因素模型。
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| 关 键 词： | 产学研 协同创新团队 知识转移 影响因素 |
| 收稿时间： | 2017-02-27 |
Study on the Influence Factors Models of Knowledge Transfer in the Industry-University-Research Collaborative Innovation Team |
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| Liu Chunyan,Ma Haiqun.Study on the Influence Factors Models of Knowledge Transfer in the Industry-University-Research Collaborative Innovation Team[J].Library and Information Service,2017,61(19):41-49. |
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| Authors: | Liu Chunyan Ma Haiqun |
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| Institution: | School of Information Management, Heilongjiang University, Harbin 150080 |
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| Abstract: | Purpose/significance] The main influence factors of knowledge transfer in the Industry-University-Research(I-U-R) collaborative innovation team are identified and the influence factors models of knowledge transfer are built in order to increase the efficiency of knowledge transfer and promote the I-U-R collaborative innovation ability.Method/process]Based on the team effectiveness theory, and with the I-U-R collaborative innovation team as the research object, and using the method of qualitative research, the influence factors "I-P-O" model of knowledge transfer is built. Then by the scientific definitions of variable research dimensions, an influence factors conceptual model of knowledge transfer is established. In the end, through path analysis between various influence factors, an influence factors relationship model of knowledge transfer is formed.Result/conclusion]The influence factors model of knowledge transfer in the I-U-R collaborative innovation team is constructed including 9 independent variable which are made up of transfer willingness, output ability, study ability, prior knowledge, knowledge fuzziness, channel richness, trust level, system synergy and government policy, 2 intervening variables which are made up of communication quality and innovation support, and 2 dependent variables which are made up of knowledge sharing degree and knowledge absorptive capacity. |
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| Keywords: | Industry-University-Research collaborative innovation team knowledge transfer influence factors |
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