ACCOUNTING INFORMATION SYSTEMS AND ERP: AN ASSESSMENT OF CURRENT AND FUTURE CHALLENGES IN BIG DATA MANAGEMENT

Abstract

This article provides a comprehensive analysis of Accounting Information Systems (AISs) and Enterprise Resource Planning (ERPs) systems, focusing on their current state, evolution, and future challenges in handling big data. The article compares the features, integration capabilities, and scalability of AISs and ERPs, examining their roles in modern business management. Through a mixed-methods approach, including surveys, interviews, and case studies, the article explores market trends in system adoption, the impact of business size on system selection, and industry-specific requirements. The article highlights the advantages of integrated systems while acknowledging the challenges in implementation, user adoption, and data security. It also investigates the factors influencing AIS and ERP adoption, including organizational structure, technological readiness, and cost considerations. Looking towards the future, the article discusses emerging technologies such as AI, blockchain, and cloud computing, and their potential impact on these systems. The findings provide valuable insights for businesses navigating the complex landscape of information systems and offer predictions for future developments in the field, emphasizing the need for adaptability in an increasingly data-driven business environment.