检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:苏屹[1] 付宁宁 SU Yi;FU Ningning(School of Economics and Management,Harbin Engineering University,Harbin 150001,China;Department of Management,Harbin Finance University,Harbin 150036,China)
机构地区:[1]哈尔滨工程大学经济管理学院,哈尔滨150001 [2]哈尔滨金融学院管理系,哈尔滨150036
出 处:《系统管理学报》2022年第3期545-554,共10页Journal of Systems & Management
基 金:国家自然科学基金资助项目(72074059);黑龙江省社会科学基金资助项目(20GLB120);省重点研发计划指导类(GZ20210003)。
摘 要:以中国智能制造上市企业2015~2020年发明专利授权数为样本,运用社会网络分析方法揭示智能制造企业创新关联网络演化规律。通过回归分析,研究智能制造企业创新关联网络结构与技术生态位"态"和技术生态位"势"的关系。研究发现:智能制造企业创新关联网络关系显著,且关联趋向紧密。网络度数中心度与技术生态位"态"、技术生态位"势"均呈显著的倒U关系;关系强度与技术生态位"态"、技术生态位"势"均呈显著的倒U关系;结构洞与技术生态位"态"的关系呈正线性相关关系。智能制造企业起步阶段,政府要发挥政策引导作用,鼓励更多企业投入到智能制造企业相关领域,促进其创新关联网络的发展。在发展阶段,提高网络度数中心度、结构洞和关系强度,避免由于过于分散降低智能制造企业创新能力。在成熟阶段,剔除冗余联系,获取有效的网络资源,优化网络结构,进一步保证智能制造企业的创新能力。This paper, taking the number of invention patents granted by listed intelligent-manufacturing enterprises in China from 2015 to 2020 as a sample, reveals the evolution law of innovation correlation network of intelligent-manufacturing enterprises using social network analysis. It makes a regression analysis on the innovation correlation network structure of intelligent-manufacturing enterprises and the “state” and “momentum” of technology niche. It is found that the innovation correlation network of intelligent-manufacturing enterprises is significantly related, and the correlation tends to be increasingly close. There is a significant inverted U-shaped relationship between the centrality of network degree and the “state” and “momentum” of technology niche but a significant inverted U-shaped relationship between the relationship intensity and the “state” and “momentum” of technology niche. The relationship between the structural hole and the “state” of technology niche is in a positively linear correlation. In the initial stage, the government should play a guiding role in policies, encourage more enterprises to invest in related fields of intelligent-manufacturing enterprises, and promote the development of their innovation correlation network. In the developing stage, the government should improve the centrality of network degree, structural hole and relationship strength, and avoid reducing the innovation ability of intelligent-manufacturing enterprises due to excessive dispersion. In the mature stage, the government should eliminate redundant links, obtain effective network resources, optimize network structure, and further ensure the innovation ability of intelligent-manufacturing enterprises.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.22.68.71