首页|全球创新网络中企业间知识扩散模式研究——基于无标度网络理论

全球创新网络中企业间知识扩散模式研究——基于无标度网络理论

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[目的/意义]知识经济背景下,全球创新网络成为全球企业间知识流动的平台,通过构建企业间知识扩散模型,研究全球创新网络中企业间知识扩散模式,以促进全球创新网络的发展.[方法/过程]研究主要基于无标度网络理论,建立有向网络模型并仿真,结合仿真结果以及知识密集型企业与劳动密集型企业的概念,探究了全球创新网络中两种企业知识扩散的模式.[局限]模型的参数设置较为简单,难以模拟复杂的企业网络结构.[结果/结论]根据建立的网络模型,分析得到全球创新网络中企业间知识扩散模式主要包括知识创造、知识密集型企业之间的协同创新、知识密集型企业与劳动密集型企业之间的知识扩散三个方面以及其具体方式,为两种企业的知识管理提供了建议.
Research on the Model of Knowledge Diffusion among Enterprises in Global Innovation Networks:Based on Scale-Free Network Theory
[Objective/Significance]In the context of the knowledge economy,the global innovation network has become the platform for knowledge flow between global enterprises.This paper constructs an inter-enterprise knowledge diffusion model to study the modes of knowledge diffusion among enterprises in the global innovation network,promoting the development of the global innovation network.[Methods/Processes]The study is primarily based on scale-free network theory.A directed network model is established and simulated.Combining the simulation results with the concepts of knowledge-intensive enterprises and labor-intensive enterprises,the modes of knowledge diffusion between the two types of enterprises in the global innovation network are explored.[Limitations]The parameter settings of the model are relatively simple,making it difficult to simulate complex enterprise network structures.[Results/Conclusions]Based on the established network model,it is analyzed that the modes of knowledge diffusion among enterprises in the global innovation network mainly include knowledge creation,collaborative innovation between knowledge-intensive enterprises,and knowledge diffusion between knowledge-intensive and labor-intensive enterprises which provides suggestions for knowledge management of the two types of enterprises.

Global Innovation NetworkKnowledge DiffusionKnowledge-Intensive EnterprisesLabor-Intensive EnterprisesScale-free Network Theory

储节旺、施点、杨子豪

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安徽大学管理学院 合肥 230601

全球创新网络 知识扩散 知识密集型企业 劳动密集型企业 无标度网络理论

国家社会科学基金一般项目

23BTQ055

2024

情报工程

情报工程

CSTPCDCHSSCD
ISSN:
年,卷(期):2024.10(1)
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