MISHKAT

MISHKAT

Applying the EFQM Excellence Model to the Measurability of the Qur’an Model of Dignity: A Semantics Approach

Document Type : Original Article

Author
Faculty Member, Development Studies Research Institute, Jahad e Daneshgahi, Tehran
Abstract
Dignity in the Qur’an is a multidimensional concept whose precise understanding requires historical, structural, and cultural analysis of the word’s root and clarification of its internal relations within the Qur’an lexical system. Although this concept has been widely examined in exegetical and ethical studies, its operationalization and measurability remain challenging. Transforming such a foundational notion into measurable indicators demands a theoretically coherent and methodologically rigorous framework that preserves its semantic depth. 
This study adopts an interdisciplinary methodology grounded in historical- structural Semantics analysis to reconstruct the network of syntagmatic and paradigmatic relations of the Qur’anic uses of generosity. Using an analytical - logical approach, the derived data are categorized and interpreted at both conceptual and practical levels. The analysis yields three fundamental components: bestowal, innate nobility, and reciprocal relation that together constitute the conceptual architecture of generosity. These components align with the three pillars of the EFQM Excellence Model: enablers, processes, and Results. 
In this research, the EFQM model serves as an analytical framework for redefining the Qur’anic structure of dignity, mapping its trajectory from internal values to ethical actions and observable outcomes. The findings indicate that integrating structural semantics with the causal logic of the EFQM model provides a viable basis for rearticulating and operationalizing Qur’anic moral concepts through measurable indicators and behavioral evidence. This framework offers potential applications in fields such as cultural policy‑making, education, and Islamic management by supporting the design of ethics‑oriented and assessment‑driven systems.
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