Artificial Intelligence on Knowledge Management Systems for Businesses: A Systematic Literature Review
Artificial Intelligence on Knowledge Management Systems for Businesses: A Systematic Literature Review

Summary/Abstract: The fourth industrial revolution is forthcoming, bringing with it revolutionary alterations in connectivity, work dynamics, and everyday operations. The fundamental foundation of this transformation, artificial intelligence (AI) is at its core. The purpose of this research is to identify new and distinctive features of how artificial intelligence may improve and enhance business knowledge management systems. For this purpose, systematic literature review (SLR) was used as the research method and preferred reporting items for systematic reviews and meta-analyses (PRISMA) as an approach. Articles based on specific search queries from 2013 to 2023 were selected from major scientific databases such as Scopus, Web of Science, and ScienceDirect, with a focus on AI, knowledge management systems, and corporate organizations for the PRISMA. It covers four main research questions by utilizing 14 selected papers. The main findings of this research paper call attention to AI’s vital role in shaping the future of knowledge management which helps organizations make informed decisions and remain competitive and relevant in this ever-changing world of commerce. This study also explores the importance of data security in AI systems which need ethical considerations and responsible practices to address the vulnerabilities.

• Details
• Contents