Document Type
Article
Source of Publication
Knowledge Management Research and Practice
Publication Date
9-8-2026
Abstract
Organisations increasingly rely on artificial intelligence to capture, synthesise and generate knowledge, yet the governance consequences of this shift remain poorly theorised. This paper develops a conceptual framework for AI-enhanced knowledge ecosystems, arguing that AI does not simply augment knowledge management practice but reshapes what counts as organisational knowledge. Drawing selectively on work in knowledge management, AI and paradox theory, the framework sets out five dimensions of such ecosystems and four paradoxes: sharing and hiding, transparency and opacity, control and autonomy, exploitation and exploration. These tensions are treated as generative forces to be navigated, not problems to be solved, since managing them adaptively can support learning, innovation and resilience. Three scenarios extend the analysis to 2050 under different governance conditions. The paper contributes testable propositions on AI-specific knowledge mechanisms and an agenda for empirical validation at ecosystem level, with implications for knowledge governance and responsible AI deployment.
DOI Link
ISSN
Publisher
Informa UK Limited
Disciplines
Business
Keywords
artificial intelligence, digital transformation, innovation, Knowledge ecosystems, knowledge hiding, knowledge management, knowledge sharing
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Sposato, Martin and Dittmar, Eduardo Carlos, "AI-enhanced knowledge ecosystems: a paradox framework for understanding knowledge sharing and hiding in generative AI" (2026). All Works. 8433.
https://zuscholars.zu.ac.ae/works/8433
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Green: A manuscript of this publication is openly available in a repository