ПРЕПРИНТ

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Measuring Dialogue, Managing Unity: A KPI-Governed Performance Analysis of al-Murājaʿāt Using a Design-Science Approach
2026-02-01

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

Ссылка для цитирования:

MoghadasNian S., JafarTayariDehaqani M., HoseiniTaheri J., Haghighi N., MoghadasNian S. 2026. Measuring Dialogue, Managing Unity: A KPI-Governed Performance Analysis of al-Murājaʿāt Using a Design-Science Approach. PREPRINTS.RU. https://doi.org/10.24108/preprints-3114392

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