Knowledge management in organization and the large language models

Abstract

Purpose: to summarize, classify and analyze current academic papers on the use of large language models (LLM) in knowledge management in organization. Methodology: systematic literature review was conducted. It was based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. 75 papers were selected for the analysis, including academic papers and reports of consulting companies published since 2020. Findings: four main research areas have been identified: (1) LLM implementation issues; (2) the impact of LLM on knowledge management efficiency; the application of LLM in the processes of (3) knowledge usage and (4) knowledge creation. Within each area, the key papers and open questions have been reviewed. Originality and contribution: the paper presents a systematic review of current publications, proposes a classification of research topics, and identifies potential directions for new research. The study also considers limitations hindering the implementation of LLM in the organization’s knowledge management practice.