Abstract
This study proposes a novel approach to enhance financial process modeling by systematically transforming UML activity diagrams into sequence diagrams, with a focus on integrating Economic Value Added (EVA) to assess financial performance. Using a case study of LogiCom Solutions, an e-commerce company, we developed a three-step methodology: 1) designing transformation rules to map activity diagrams to sequence diagrams for improved interaction clarity, 2) applying these rules to model logistics and invoicing processes, and 3) incorporating EVA to evaluate the financial impact of process optimizations. The transformation process clarified complex workflows, revealing critical system interactions, while EVA integration confirmed that optimized processes generated returns exceeding capital costs, thus enhancing shareholder value. Results demonstrate that Model Driven Engineering (MDE) can significantly improve financial process representation and decision-making. By combining UML diagram transformation with EVA, this approach provides a robust framework for optimizing workflows and assessing their economic impact. The methodology offers practical implications for e-commerce and other financial domains, with potential for broader application. Specifically, it enables organizations to streamline operations, enhance transparency in process interactions, and align process improvements with financial goals. The case study highlighted how logistics and invoicing processes, critical to e-commerce efficiency, benefited from clearer sequence diagram representations, facilitating better stakeholder communication. Future research could explore real-time EVA analysis tools, leveraging advanced data analytics to provide dynamic financial insights, and extend the framework to other financial processes, further advancing the integration of MDE and financial performance metrics to drive operational efficiency and value creation.
Keywords: EVA, Financial Process Modeling, MDE, UML