知识重组对高技术企业创新绩效的影响机制研究  被引量:2

Influence Mechanism of Knowledge Recombination on Innovation Performance of High-Tech Enterprises

在线阅读下载全文

作  者:余良如 于渤[1] YU Liang-ru;YU Bo(School of economic and management,Harbin institute of technology,Harbin 150001,China)

机构地区:[1]哈尔滨工业大学经济与管理学院,哈尔滨150001

出  处:《研究与发展管理》2024年第3期70-83,共14页R&D Management

摘  要:创新是高技术企业核心能力提升的关键动力,而知识重组在提升创新绩效过程中发挥了重要作用,但现有研究并未充分探究知识重组对创新绩效的影响机制。本文构建了知识重组对创新绩效的影响机制模型,讨论了关系动态性的中介作用和知识网络分解性的调节作用,采用2000—2019年436家A股上市高技术企业财务、专利和联盟数据进行实证分析。结果表明:重组创造不仅能直接促进创新绩效,亦能推动关系拓展间接提升创新绩效;重组复用与创新绩效的关系呈倒U形,且关系稳定性部分中介了重组复用对创新绩效的影响;知识网络分解性强化了重组创造与创新绩效的正相关关系,且对重组复用与创新绩效的倒U形关系有正向调节作用。本文完善了知识重组对创新绩效的影响机制,对高技术企业协调内外部资源实现重组创新具有现实指导意义。Innovation is a key driver of core competence enhancement in high-tech firms,and knowledge recombination(KR) plays an important role in the process of enhancing innovation performance(IP),However,existing studies have not yet fully explored the mechanisms by which KR affects IP.It constructed a mechanism model of the impact of KR on IP,explored the mediating effect of relation dynamics and the moderating effect of knowledge network decomposability(DEC),and used financial,patent and alliance data of 436 A-share listed high-tech firms during 2000-2019 for empirical analysis.The results show that:recombinant creation(KRC) not only directly promotes IP,but also indirectly promotes collaboration relation expansion(CRE);the relationship between recombinant reuse(KRR) and IP is inverted U-shaped,and collaboration relation stability(CRS) partially mediates the impact of KRR on IP;DEC strengthens the positive relationship between KRC and IP,and positively moderates the inverted U-shaped relationship between KRR and IP.It improves the influence mechanism of KR on innovation of high-tech enterprises,which has practical guidance significance for them to coordinate internal and external resources to achieve recombination innovation.

关 键 词:知识重组 创新绩效 关系扩张性 关系稳定性 知识网络分解性 

分 类 号:F270[经济管理—企业管理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象