Journal of Qur'anic Behavioral Sciences is a pioneering, peer-reviewed international journal that bridges the gap between Islamic revelation and empirical behavioral sciences. Unlike traditional journals that approach the Qur'an and Hadith from a purely normative or theological perspective, Journal of Qur'anic Behavioral Sciences positions sacred texts as the foundational source for developing testable frameworks, models, and variables within the broader disciplines of decision sciences, management, finance, and social humanities.

We publish rigorous empirical research (quantitative, qualitative, and mixed-methods) and comprehensive Systematic Literature Reviews (SLRs) that translate Qur'anic and Hadith principles into actionable decision-making models. By integrating divine ethics with modern behavioral sciences, the journal aims to provide holistic, sustainable, and ethically grounded solutions to contemporary global challenges.

Journal of Qur'anic Behavioral Sciences is strongly committed to the United Nations Sustainable Development Goals (SDGs). We specifically encourage research that demonstrates how revelation-based decision frameworks can advance sustainable practices, ethical organizational behavior, equitable economic systems, and human well-being, directly contributing to a better and more sustainable future for all.

Published biannually, Journal of Qur'anic Behavioral Sciences operates under a double-blind peer review process and adheres to the ethical standards of the Committee on Publication Ethics (COPE). All articles are published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), ensuring free and permanent access for researchers worldwide.

The journal is published by the Undergraduate Program in Al-Quran and Tafsir Studies, STIS Al Wafa, Indonesia, reflecting the institution’s commitment to supporting scholarly excellence and contributing to the global academic community in decision science and Islamic business studies.

Journal of Qur'anic Behavioral Sciences
Empirical frameworks for sustainable human decision making