Measuring Dialogue, Managing Unity: A KPI-Governed Performance analysis of al-Murājaʿāt Using a Design-Science Approach

This study converts the 112-letter corpus of al-Murājaʿāt into an auditable <br> performance system and validates a KPI-governed Unity Index. Addressing <br> the absence of scalable measures for dialogical ethics, cross-school evidence flows, and institutional uptake, we adopt a mixed-methods design: <br> AI-assisted content coding and discourse analysis at letter level; evidence- <br> flow modeling to quantify cross-citation and Qurʾān–Sunnah <br> harmonization; and psychometric validation (inter-coder reliability, <br> EFA→CFA) to confirm domain structure. Findings show consistently high <br> Dialogue-Ethics performance (e.g., respectful tone, rebuttal without <br> derision), strong Cross-Reliance on Sunni authorities with sustained <br> harmonization signals, and comparatively weak <br> Institutionalization/Education and Governance/RACI domains (e.g., <br> curriculum inclusion, reviewer participation, documentation completeness). <br> The Unity Index integrates these dynamics, revealing that civility and <br> shared-authority sourcing lift composite scores while limited organizational <br> adoption constrains long-run impact. Theoretically, the work advances a <br> measurement theory of dialogical kalām by specifying observable variables <br> with reliability targets and thresholds. Practically, it provides governance- <br> ready dashboards for curriculum policy, program accreditation, public <br> communication risk control, and continuous improvement. The framework <br> transfers to adjacent management contexts: service-quality gates and <br> compliance dashboards in airline management; stakeholder-trust controls in <br> tourism and health tourism; and explainable, validated KPI programs in <br> digital transformation initiatives.