Logic model-based performance management systems for export promotion agencies

Export Promotion Agencies (EPAs) play a crucial role in facilitating the internationalization of small and medium enterprises (SMEs), contributing significantly to economic growth. The complexity of their operations, diversity of services provided, and challenges in attributing outcomes complicate the effective implementation of Performance Management Systems (PMSs).

This study investigates how the Logic Model framework can be utilized as a strategic, structured, and flexible tool to design and implement PMSs tailored to the unique operational needs of EPAs. A qualitative, exploratory multiple-case study approach was applied, involving various types of EPAs within Spain-including provincial, regional, national, and a regional EPA belonging to a European network.

The research identifies significant variability in PMS sophistication and logic model adoption across agencies. The Logic Model, emphasizing causal linkages between inputs, activities, outputs, and outcomes, offers EPAs a coherent framework to enhance transparency, accountability, and strategic learning. An extended illustrative case of a European-networked regional EPA highlights best practices in integrating structured client journeys, performance monitoring, and dynamic feedback mechanisms into service delivery.

This research proposes a comprehensive methodology for implementing Logic Model-based PMSs within EPAs, emphasizing stakeholder participation, flexible indicators, systematic service quality evaluation, and continuous adaptive management. By addressing the identified gaps in performance management practices within EPAs, the study contributes to both academic literature and practical guidelines, ultimately supporting the international competitiveness of SMEs and economic development objectives.