数智赋能区域性知识生态系统的知识创新要素与协同关系  

Research on Knowledge Innovation Elements and Synergies of Digital Intelligence Empowered Regional Knowledge Ecosystems

作　　者：李佳轩 储节旺[1] 罗怡帆 唐亮亮 Li Jiaxuan;Chu Jiewang;Luo Yifan;Tang Liangliang(School of Management,Anhui University,Hefei 230601)

机构地区：[1]安徽大学管理学院,合肥230601

出　　处：《情报杂志》2024年第8期198-206,F0003,共10页Journal of Intelligence

基　　金：国家社会科学基金一般项目“数智知识生态系统知识生成动力、扩散逻辑与治理机制研究”(编号:23BTQ055)研究成果。

摘　　要：[研究目的]为了探求数智赋能下区域性知识生态系统知识创新的协同要素,挖掘不同协同要素在区域性知识生态系统不同演化阶段所发挥的作用,以此为我国区域创新、知识创新与协同创新发展提供新的理论指导。[研究方法]将协同学中的经典模型引入区域性知识生态系统的研究,分析我国区域性知识生态系统知识创新的主要协同要素。之后对我国主要区域创新城市群的协同要素进行分阶段对比,探寻不同阶段、不同类型推动区域性知识生态系统知识创新的关键因素与次要因素。[研究结论]区域性知识生态系统存在多个演进阶段,在其发展的不同阶段,主要协同因素会有所不同。在不同类型、不同地区的区域性知识生态系统中,协同因素也会存在明显差异性。[Research purpose]This research explores the synergistic elements of knowledge innovation in regional knowledge ecosystems empowered by digital intelligence and the roles of different synergistic elements in different evolutionary stages of regional knowledge ecosystems,and provides new theoretical guidance for regional innovation,knowledge innovation and collaborative innovation development in China.[Research method]The classical model of synergy is introduced into the study of regional knowledge ecosystem,and the main synergistic elements of knowledge innovation in regional knowledge ecosystem in China are analyzed.Then,the synergistic elements of China's major regional innovation urban agglomerations are compared in stages,and the key factors and secondary factors that promote knowledge innovation in regional knowledge ecosystems at different stages and types are explored.[Research conclusion]There are multiple stages of evolution in a regional knowledge ecosystem,and the main synergistic elements will be different at different development stages.The main synergistic elements vary with the types and regions of regional knowledge ecosystems.

关 键 词：区域性知识生态系统 数智赋能 知识创新 协同创新 协同要素 哈肯模型 

分 类 号：F273.1[经济管理—企业管理]