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2026 , Vol. 70 >Issue 12: 79 - 91

DOI: https://doi.org/10.13266/j.issn.0252-3116.2026.12.007

研究论文

尖点突变理论下的数智创新生态系统知识变异机制分析

  • 储节旺 ,
  • 张子芳
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  • 安徽大学管理学院 合肥 230601
储节旺，教授，博士，博士生导师；张子芳，硕士研究生，通信作者，E-mail: 2060731139@qq.com。

收稿日期: 2025-06-24

  修回日期: 2025-10-10

  网络出版日期: 2026-06-09

基金资助

本文系国家社会科学基金一般项目“数智创新生态系统知识生成动力、扩散逻辑与治理机制研究”（项目编号：23BTQ055）研究成果之一。

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Analysis on Knowledge Mutation Mechanism of Digital-Intelligent Innovation Ecosystem Based on Cusp Catastrophe Theory

  • Chu Jiewang ,
  • Zhang Zifang
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  • School of Management, Anhui University, Hefei 230601
Chu Jiewang, Professor, PhD, Doctoral Supervisor; Zhang Zifang, Master’s Candidate, Corresponding Author, E-mail: 2060731139@qq.com.

Received date: 2025-06-24

  Revised date: 2025-10-10

  Online published: 2026-06-09

Supported by

This work is supported by the National Social Science Fund of China project titled “Research on Knowledge Generation Power, Diffusion Logic and Governance Mechanism of Digital Intelligence Innovation Ecosystem” (Grant No. 23BTQ055).

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摘要

[目的/意义] 鉴于当代人类社会对数智技术和知识管理的深度渴求，有关“数智创新生态系统”的“知识变异”问题变得愈发重要，相应地以“知识创造”为目标的知识变异机制研究变得愈发突出。[方法/过程] 先从知识进化论与社会认识论的双重视角出发，分别从主导逻辑与建构逻辑两方面，探究数智创新生态系统中知识变异的内在逻辑；后基于尖点突变理论，以数智创新生态系统内知识熵的程度为状态变量，以系统中新知识形成的外界信息流和系统内要素间的相干效应为控制变量，构建数智创新生态系统中知识变异的尖点突变模型，并进行实证分析。[结果/结论] 研究表明，在数智创新生态系统中，数智技术下知识的生成存在生成状态突变：知识突变生成是知识要素基于系统中充足信息强化的非线性相互作用进而产生巨涨落的过程，具有突变性、随机性的特性，分为触发、演变、稳定3个阶段。

关键词： 数智赋能; 创新生态系统; 知识变异; 尖点突变模型; 知识创新

本文引用格式

储节旺 , 张子芳 . 尖点突变理论下的数智创新生态系统知识变异机制分析[J]. 图书情报工作, 2026 , 70(12) : 79 -91 . DOI: 10.13266/j.issn.0252-3116.2026.12.007

Abstract

[Purpose/Significance] Given contemporary society’s strong demand for digital intelligence technology and knowledge management, the issue of ‘knowledge variation’ within the ‘digital intelligence innovation ecosystem’ has become increasingly important. Consequently, research on knowledge variation mechanisms aimed at ‘knowledge creation’ has become more prominent. [Method/Process] From the dual perspectives of knowledge evolution theory and social epistemology, this study explores the intrinsic logic of knowledge variation in the digital intelligence innovation ecosystem from both dominant logic and constructivist logic. Subsequently, based on cusp catastrophe theory, a cusp catastrophe model of knowledge variation is constructed. This model uses the degree of knowledge entropy within the ecosystem as the state variable, and the external information flow that forms new knowledge and the coherent effects among internal elements as control variables. Finally, the study conducts an empirical analysis of the model. [Result/Conclusion] The study reveals that in the digital intelligence innovation ecosystem, knowledge generation undergoes abrupt state change. The process of catastrophic knowledge generation is a process in which knowledge elements experience giant fluctuations from nonlinear interactions reinforced by sufficient information within the system. The process is characterized by abruptness and randomness, and can be divided into three stages: triggering, evolution, and stabilization.

Key words： digital intelligence empowerment; innovation ecosystems; knowledge variation; APEX mutation model; knowledge innovation

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