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基于服务创新链的科技服务联盟知识转移影响因素研究 被引量:5

Research on influencing factors of knowledge transfer in science and technology service alliance based on service innovation chain
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摘要 以科技服务联盟知识转移为对象构建系统动力学模型,确定各因素对知识转移的影响,为政府、联盟及其成员提供决策支持的同时为科技服务联盟的发展建设提供参考依据。基于服务创新链视角分析科技服务联盟结构并建立知识转移过程概念模型,在此基础上,对知识转移影响因素进行细致梳理构建系统动力学模型,最后以黑龙江省科技服务联盟为例使用Vensim PLE进行仿真分析。结果表明:信息对称性、转移意愿、知识转移能力、吸收能力、平台建设质量及信任程度均正向影响知识转移,效果排名为知识转移能力与吸收能力、信息对称性与转移意愿、平台建设质量、信任程度;文化差异对知识转移呈负向影响,但不明显。 The system dynamics model is constructed based on the knowledge transfer of science and technology service alliance,and the influence of various factors on knowledge transfer is determined to provide decision support for the government,alliance and its members while providing reference for the development of science and technology service alliance.Based on the perspective of service innovation chain,this paper analyzes the structure of science and technology service alliance and constructs the conceptual model of knowledge transfer process.On this basis,it carefully combs the influencing factors of knowledge transfer to construct the system dynamics model.Finally,the Heilongjiang Science and Technology Service Alliance is used as an example to use Vensim PLE simulation analysis.The results show that:information symmetry,willingness to transfer,knowledge transfer ability,absorptive capacity,platform construction quality and trust level all positively affect knowledge transfer.The ranking of effects is knowledge transfer ability and absorptive capacity,information symmetry and willingness to transfer,quality of platform construction,degree of trust;cultural differences have a negative impact on knowledge transfer but not obvious.
作者 刘盟盟 李长云 王京 LIU Meng-meng;LI Chang-yun;WANG Jing(School of Economics and Management,Harbin University of Science and Technology,Harbin 150080,China)
出处 《科技与管理》 2020年第3期8-19,共12页 Science-Technology and Management
基金 国家自然科学基金项目(71804035) 黑龙江省哲学社会科学研究规划项目(16GLB01) 黑龙江省青年科学基金项目(QC2017083)
关键词 科技服务联盟 知识转移影响因素 系统动力学 仿真 science and technology service alliance influencing factors of knowledge transfer system dynamics simulation
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