摘要
[目的/意义]探究数智赋能下知识生态系统新的构成与演进阶段,以此为我国区域创新与协同知识创新提供新视野。[方法/过程]根据复杂适应系统理论,确定数智化知识生态系统的演化阶段,并采用定性探索方法对“梦想小镇”的发展过程进行实地调研、半结构化访谈和网络数据的搜集,以此分析数智化知识生态系统的发展阶段与相应特征。[结果/结论]揭示了数智化知识生态系统的组成和演进阶段,发现数智化知识生态系统遵循复杂适应系统理论,存在4个演化阶段,并在不同阶段具有不同的特质。
[Purpose/significance]To explore the new composition and evolution stage of knowledge ecosystem empowered by digital intelligence,so as to provide a new vision for regional innovation and collaborative knowledge innovation in China.[Meth-od/process]According to the theory of complex adaptive system,the evolution stage of the digital intelligence knowledge ecosystem was determined,and the qualitative exploration method was used to conduct field research,semi-structured interviews and network data collection on the development process of the dream town,so as to analyze the development stage and corresponding characteris-tics of the digital intelligence knowledge ecosystem.[Result/conclusion]This study reveals the composition and evolution stages of the digital intelligence knowledge ecosystem,and finds that the digital intelligence knowledge ecosystem follows the complex adap-tive system theory,and there are four evolutionary stages,and they have different characteristics at different stages.
作者
李佳轩
储节旺
Li Jiaxuan;Chu Jiewang(School of Management,Anhui University,Anhui Hefei 230601)
出处
《情报理论与实践》
CSSCI
北大核心
2024年第6期135-146,134,共13页
Information Studies:Theory & Application
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”的成果,项目编号:23BTQ055。
关键词
数智化知识生态系统
数智赋能
知识链
知识网络
“梦想小镇”
复杂适应系统
digital intelligent knowledge ecosystem
digital intelligence empowerment
knowledge chain
knowledge net-works
“Dream Town”
complex adaptive system
作者简介
李佳轩,男,1999年生,硕士生。研究方向:知识管理,科技管理。;储节旺,男,1969年生,博士,教授,博士生导师。研究方向:知识管理。
