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作 者:姜秀娟[1] 张鑫 李琳琳 JIANG Xiujuan;ZHANG Xin;LI Linlin(School of Economics and Management,Shandong University of Science and Technology,Qingdao 266590,China)
机构地区:[1]山东科技大学经济管理学院,山东青岛266590
出 处:《技术与创新管理》2023年第4期371-380,共10页Technology and Innovation Management
基 金:国家自然科学基金面上项目“技术会聚涌现机理、演变过程与测度”(71672103);山东省自然科学基金面上项目“高质量发展视域下知识产权密集型产业演化机理、效应测度与政策设计”(ZR2021MG018)。
摘 要:基于社会网络理论、知识基础理论与组织学习理论,利用德温特数据库中2000—2020年纳米能源技术领域的专利数据构建知识网络,通过联合申请专利信息确定组织间合作关系,采用负二项回归模型检验合作伙伴间技术距离对焦点企业知识获取的影响,以及焦点企业知识存量特征(知识多样性)和知识网络嵌入特征(知识网络中心性和知识网络结构洞)的调节作用。研究结果表明:合作伙伴间技术距离与焦点企业知识获取呈正U型关系,焦点企业知识多样性和知识网络中心性正向调节合作伙伴间技术距离与知识获取的关系,而知识网络结构洞的调节效应并不显著。说明焦点企业选择较小或较大技术距离的合作伙伴更有利于开展外部学习活动,同时要根据自身知识基础特征选择适宜的合作伙伴以促进知识获取。Based on social network theory,knowledge base theory and organizational learning theory,the knowledge network was constructed by using the patent data in the field of nanoenergy technology from 2000 to 2020 in the Derwent database.The cooperative relationship between organizations was determined by jointly applying for patent information,and the negative binomial regression model was used to examine the influence of technical distance between partners on knowledge acquisition of focus enterprises,and the moderating effect of knowledge stock characteristics(knowledge diversity)and knowledge network embedding characteristics(knowledge network centrality and knowledge network structure hole)of focus enterprises.Results show that the technological distance has a positive U-shaped relationship on focal firm’s knowledge acquisition.The focal firm’s knowledge diversity and centrality of the knowledge network positively moderate the relationship between technological distance and knowledge acquisition,while the moderation effect of structural hole of the knowledge network is not significant.The study indicates that selecting partners with smaller or larger technological distances is more conducive to external learning activities for focal firms;it is necessary to select appropriate partners that can promote knowledge acquisition according to the characteristics of their own knowledge base.
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