A Participatory and Performance-Based Evaluation Model for Adaptive Local Governance

This study presents a novel model for local governance-Evaluative, Participatory, Adaptive Model Based on Performance and Data (EPABKD)-designed to enhance planning coherence, stakeholder engagement, and responsiveness in decentralized systems.The model reconfigures the traditional CIPP evaluation framework by embedding participatory evaluation, real-time feedback, and performance-based alignment into a unified, adaptable system.Developed and tested within a subnational governance context, EPABKD addresses common planning challenges such as symbolic participation, fragmented data use, and planbudget mismatches.It institutionalizes stakeholder roles through independent evaluation boards and applies tools like the Program Alignment Index (PAI) to ensure coherence between strategic documents and implementation.Unlike existing models such as CIPP, CIPPO, Logic Models, or the Kirkpatrick framework, D-SMART integrates digital tools, stakeholder governance, and SDG-linked performance tracking in a unified and adaptive architecture.Its successful application demonstrates potential for broader use in localizing Sustainable Development Goals (SDGs) and improving public accountability.The study contributes to evaluation and planning literature by advancing a participatory, performance-based alternative to static, technocratic approaches in sustainable development governance.