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2026 Key Topic Guidelines of Knowledge Management Forum

Knowledge Management Forum is an academic journal supervised by the Chinese Academy of Sciences and sponsored by the National Science Library of the Chinese Academy of Sciences (ISSN 2095-5472, CN11-6036/C). KMF is dedicated to advancing the creation, organization, and effective utilization of knowledge in the knowledge era, and to promoting the rapid, extensive, and effective dissemination of research results in knowledge management. The journal focuses on research related to the production, creation, organization, integration, mining, sharing, analysis, utilization, and innovation of knowledge. Any issues concerning knowledge management in governments, enterprises, universities, libraries, as well as other various entities and virtual organizations—including theories, methods, tools, technologies, applications, policies, solutions, and best practices—fall within its scope of coverage.

In 2026, based on topic suggestions proposed by multiple members of the editorial board, the KMF editorial office has summarized and refined the following key topic guidelines for 2026 for the reference of authors and readers.

1.      Re-examining the Fundamental Theoretical Issues of Knowledge Management in the AI Era

2.      Reflection on and Reconstruction of Knowledge Management Theory in the AI Environment

3.      New Paradigms and Implementation Paths for Knowledge Management Driven by Digital–Intelligent Integration

4.      Research on Knowledge Management Transformation in the Digital–Intelligent Era

5.      Research on AI-Driven Knowledge Management Application Scenarios and Associated Risks

6.      Generative AI–Driven Knowledge Innovation

7.      Research on Knowledge Management Innovation Driven by AI Agents

8.      The Impact of Human–AI Collaboration on Knowledge Management Theory and Practice

9.      Research on the Impact of Artificial Intelligence on Knowledge Management Practitioners

10.   Formation Mechanisms and Guidance Strategies of Scholarly Knowledge Behavior

11.   The Roles and Functions of AI in Knowledge Production under Different Contexts

12.   Knowledge Auditing Based on Large Language Models

13.   Research and Practice on Organizational Knowledge Governance in the Context of Generative AI

14.   Research on the Explainability and Transparency of AIGC

15.   Governance of AI Applications in Knowledge Management Systems

16.   Next-Generation Evolution of Retrieval-Augmented Generation (RAG)

17.   Research on the Standardization of AIGC Annotation

18.   Application of Knowledge Organization Theories and Methods in High-Quality Dataset Annotation

19.   Knowledge Structuring for Machines and Humans Based on Technologies such as Knowledge Graphs and Semantic Models

20.   AI Large Model–Based Automated Knowledge Acquisition and Discourse Recommendation

21.   AI-Driven Mining of Organizational Tacit Knowledge

22.   Knowledge Mining and Knowledge Sharing Empowered by Large Language Models

23.   Long-Term Preservation of Multimodal Research Data and Knowledge Rediscovery

24.   Practice and Application of Knowledge Extraction and Knowledge System Agents

25.   Mechanisms of Knowledge Exchange and Collaboration Among Multi-Agent Systems

26.   Research on the Characteristics, Detection Methods, and Applications of AI-Generated Content

27.   Research on Predicting Breakthrough Scientific Innovation Based on Nonlinear Knowledge Fusion

28.   Mining Technological Innovation Pathways for Scenario-Oriented Applications

29.   Artificial Intelligence–Assisted Improvement of Patent Application Quality

30.   Identification of Key Technological Issues in Specific Fields Based on Integrated Policy and Patent Analysis

31.   Research on Risk Identification and Control Based on Knowledge Graphs

32.   Research on Physician–Patient Group Discovery and Knowledge Recommendation in Online Health Communities

33.   Research on Online Doctor Recommendation Integrating Temporal Knowledge Graphs and Graph Attention Mechanisms

34.   Knowledge Management for the Elderly Empowered by Digital–Intelligent Technologies

35.   Research on the Relationship Between “Human” and “Intelligent” Elements in Knowledge Management Practices

36.   The Logic of Enterprise Knowledge Reconstruction in the Era of Human–Machine Coordination

37.   Research on Implementation Planning Methods and Pathways for AI-Oriented Knowledge Management (AI4KM)

38.   Enterprise Applications of AI and Knowledge Management Practices

39.   Research on Enterprise Knowledge Management and Knowledge Management Performance

40.   Panoramic Insight into the Maturity of Knowledge Management in Chinese Enterprises and Future Trends


The Editorial Office of Knowledge Management Forum

January, 2026



Pubdate: 2026-03-06    Viewed: 210

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