Systematic Literature Review (SLR): Knowledge Management (KM) Processes and Artificial Intelligence (AI)

Nada S. AlMuzaini, Boyka Simeonova, Mat Hughes

2025

Abstract

The purpose of this systematic literature review is to identify the gaps and limitations within Knowledge Management (KM) processes through the lens of Artificial Intelligence (AI). Using a systematic literature review methodology, 42 academic articles were identified and analysed through content analysis to examine how KM processes are addressed within AI-related research. The studies were thematically coded and categorised to uncover prevailing patterns and insights. The review finds that the integration of AI into KM is still in its nascent stages, with fragmented and evolving research. Five core themes emerged from the analysis: (1) AI and human collaboration, (2) Trust and ethics, (3) Ingenuity, (4) Organisational performance and (5) Information security. Each theme highlights both opportunities and challenges of AI within KM processes. In addition, the review identifies limitations within each theme and offers suggestions for future research. This paper provides a comprehensive overview of how AI intersects with KM processes and demonstrates the value of applying a systematic literature review to organise and explore this emerging area of research.

Paper Citation

in Harvard Style

AlMuzaini N., Simeonova B. and Hughes M. (2025). Systematic Literature Review (SLR): Knowledge Management (KM) Processes and Artificial Intelligence (AI). In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS; ISBN 978-989-758-769-6, SciTePress, pages 237-246. DOI: 10.5220/0013685000004000

in Bibtex Style

@conference{kmis25,
author={Nada AlMuzaini and Boyka Simeonova and Mat Hughes},
title={Systematic Literature Review (SLR): Knowledge Management (KM) Processes and Artificial Intelligence (AI)},
booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS},
year={2025},
pages={237-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013685000004000},
isbn={978-989-758-769-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS
TI - Systematic Literature Review (SLR): Knowledge Management (KM) Processes and Artificial Intelligence (AI)
SN - 978-989-758-769-6
AU - AlMuzaini N.
AU - Simeonova B.
AU - Hughes M.
PY - 2025
SP - 237
EP - 246
DO - 10.5220/0013685000004000
PB - SciTePress