Knowledge Management in Accounting Information Systems with the Assistance of Artificial Intelligence: Bridging the Information Gap for Enhanced Decision-Making

Abstract

Knowledge management (KM) improves modern accounting information systems (AIS). Incomplete data hinders company decisions. The present study explores the concept of knowledge management in accounting information systems and investigates the potential impact of artificial intelligence on decision-making processes. Ignorance hinders organisational decision-making. This study analyses how AI can be integrated into accounting information systems to address knowledge management and data gaps. Data collection, sample selection, and AI are included. This study demonstrated that AI improves accounting information system knowledge management. AI-enabled knowledge collection, storage, and distribution improve decision-making—results-based advice. AI should be prioritised in accounting information systems to improve knowledge management. Second, personnel need extensive AI literacy and knowledge management training. Finally, cross-departmental teamwork and knowledge sharing are crucial. AI may close the accounting information system knowledge gap, highlighting the need for knowledge management. AI helps organisations manage knowledge and make decisions. The study’s recommendations can reduce data gaps and increase the organisation’s efficiency and effectiveness. This work is essential for academics, professionals, and organisations using AI to better accounting information system knowledge management.