Artificial intelligence in knowledge management: Identifying and addressing the key implementation challenges

Mojtaba Rezaei

Technological Forecasting and Social Change, 2025, vol. 217, issue C

Abstract: In today's digital landscape, Knowledge Management (KM) is crucial for organisational competitiveness. Artificial Intelligence (AI) offers transformative potential for KM practices, yet its integration presents multifaceted challenges. This study addresses significant gaps in the literature by identifying and prioritising critical challenges associated with AI integration in KM.

Keywords: Artificial intelligence (AI); Knowledge management (KM); Knowledge creation (KC); Knowledge storage (KTS); Knowledge sharing (KS); Knowledge application (KA); Delphi method; Technological challenges; Organisational challenges; Ethical challenges; CFA (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162525002148
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:217:y:2025:i:c:s0040162525002148

DOI: 10.1016/j.techfore.2025.124183

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().