AI-Enhanced ERP Systems: An Investigation into the Impact on Organizational Processes and Employee Behavior in Large Enterprises

This dissertation examines the integration of artificial intelligence (AI) within enterprise resource planning (ERP) systems, addressing key challenges in adoption and optimization to enhance operational efficiency, decision making, and competitive advantage in large-scale enterprises. By exploring AI-driven improvements in knowledge management, business process re-engineering, and organizational alignment, this study highlights AI’s role in transforming ERP systems into more adaptive, user-centric, and strategically valuable tools.

Using a mixed-methods approach, the research combines qualitative insights from interviews with business executives experienced in AI-ERP implementations, and quantitative data from employee surveys. This dual approach provides a comprehensive understanding of organizational processes, employee perceptions, and behavioral dynamics throughout the visioning, planning, and implementation stages of AI-integrated ERP systems.

Findings indicate that AI enhances ERP efficiency by automating tasks, optimizing workflows, and leveraging advanced analytics for predictive decision-making. Additionally, AI-driven ERP systems enable personalized user experiences, improve supply chain management, facilitate natural language interactions, ensure continuous system adaptation, and enhance security. A key insight underscores the critical role of communication and stakeholder engagement in fostering a supportive environment for successful technological change.

These results suggest that while AI integration significantly optimizes ERP functionality, its success depends on strategic change management and a strong organizational culture to ensure user acceptance. The research emphasizes the importance of comprehensive communication strategies and employee involvement throughout the AI-ERP implementation process, offering insights to drive innovation and long-term business success.

Keywords: Enterprise Resource Planning (ERP), Artificial Intelligence (AI), Business Process Reengineering (BPR), Supply Chain Management, Organizational Culture, Implementation Strategies, Change Management.

Keywords: Enterprise Resource Planning (ERP), Artificial Intelligence (AI), Business Process Reengineering (BPR), Supply Chain Management, Organizational Culture, Implementation Strategies, Change Management.