Enterprise Resource Planning Model for Business Process Integration

Abstract

This study developed an Enterprise Resource Planning (ERP) model for enhancing business process integration within organizations. The increasing complexity of organizational operations and the limitations of fragmented information systems have made seamless integration of business processes a critical requirement for operational efficiency and effective decision-making. Despite widespread adoption of ERP systems, many organizations continue to experience challenges related to poor process alignment, data inconsistency, and limited system utilization. The study adopted a design science research approach to develop a comprehensive ERP model that integrates core business functions through a centralized database and a business process integration engine. The model incorporates modular architecture, workflow automation, and real-time data sharing to ensure coordinated operations across finance, procurement, inventory, human resources, production, and customer management functions. Data for the study were obtained from organizational process analysis and relevant literature, while the model was validated through expert review and scenario-based evaluation. Findings revealed that the proposed ERP model significantly improved business process integration, reduced data redundancy, and enhanced operational efficiency. The model also demonstrated improved system responsiveness, better process visibility, and increased user effectiveness due to automated workflows and centralized data management. Furthermore, the modular and scalable design of the model supports adaptability across different organizational contexts. The study concludes that effective ERP implementation requires a shift from system connectivity to process-oriented integration. The proposed model provides a practical framework for organizations seeking to improve efficiency and achieve seamless coordination of business operations.