MAQASID SHARIAH APPROACH FOR GAMIFIED AI MONITORING ON ETHICS AND PRODUCTIVITY IN ISLAMIC ORGANIZATIONS

Abstract

This study proposes a conceptual framework for integrating artificial intelligence (AI)-based employee monitoring systems with gamification mechanisms in Islamic organizations to enhance ethical behavior and sustainable productivity. While AI monitoring systems are widely adopted to improve operational efficiency, they often overlook ethical considerations, employee well-being, and human-centered governance. This gap is particularly critical in Islamic organizations and Islamic fintech ecosystems, where Shariah compliance and ethical accountability are fundamental principles. This research adopts the Maqasid Shariah framework to develop a balanced governance model integrating AI-driven performance analytics, gamified motivation systems, and Islamic work ethics. Within this framework, Hifz al-Din ensures the preservation of ethics and organizational integrity, Hifz al-Aql safeguards employees’ mental health and cognitive well-being, Hifz al-Mal promotes productivity and operational efficiency, Hifz al-Nafs protects employees from harmful or toxic surveillance practices, and Hifz al-Nasl supports sustainable work–life balance and family well-being. The framework emphasizes transparency, ethical monitoring, and employee engagement while maintaining productivity and psychological well-being. Using a conceptual qualitative approach based on literature synthesis from AI governance, Islamic management, sustainability, and fintech studies, this paper explores how gamified AI systems influence ethical awareness, employee engagement, and sustainable productivity outcomes. The study contributes to the discourse on ethical AI implementation in Islamic organizational contexts and provides implications for Islamic fintech institutions and policymakers in designing human-centered, Shariah-compliant AI governance systems aligned with sustainable development principles.