Abstract
In response to the complexities of modern business processes, this study introduces an integrative framework designed to enhance the automation and management of business operations. Rooted in a multidimensional and hierarchical modelling approach, our framework amalgamates various local models into a cohesive, comprehensive system that reflects both the micro and macro aspects of business processes. The methodology we employed involves the synthesis of local models characterized by their hierarchical relationships, multidimensionality, and operational semantics. These models were subsequently integrated to form a universal model capable of addressing diverse business needs and facilitating robust process automation. Empirical evaluations demonstrate that our framework significantly improves the efficiency, accuracy, and scalability of business process management systems compared to traditional models. By providing a structured yet flexible modelling approach, our framework supports the dynamic and often unpredictable nature of business environments, enabling organizations to achieve higher operational efficiency and adaptability. The findings suggest that such an integrative approach not only simplifies the complexity inherent in business process management but also enhances the capacity for in-depth analytics and decision-making, ultimately contributing to sustained organizational growth and agility.