Optimizing ERP Deployment with Intelligent Tutoring Systems

The rapid digital transformation in industries has made Artificial Intelligence (AI) an essential tool for improving the accuracy and speed of strategic decision-making, ultimately enhancing company performance. Using Enterprise Resource Planning (ERP) systems is crucial and necessary for automating business operations toward digitalization. However, many companies still face challenges with technological innovation, leading to ERP implementation failures. While previous research has addressed Critical Success Factors (CSF) for ERP success, further empirical studies are needed, particularly from a technological adoption perspective, emphasizing the role of Intelligent Tutoring Systems (ITS). ITS can analyze data and predictive capabilities to boost productivity and support faster, more accurate decision-making for management. This research employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), conducted experimental testing with respondents, and processed data using the Smart-PLS method to identify critical factors. This research results in developing an intelligent tutoring systems model to measure and provide recommendations for improvement to achieve successful ERP implementation in a company.