Reconstructing Revenue Management Ethics in Islamic Finance: a Maqashid-Based Integrity Model and Empirical Framework

This research develops the Islamic Earnings Integrity Model (IEIM) as a conceptual and empirical framework to reconstruct profit management ethics in Islamic finance, based on the principles of maqashid al-shariah: niyyah (intention), thariqah (method), and ma'al (impact). Through a qualitative and quantitative approach, this model is tested on Islamic financial institutions and equipped with the Islamic Earnings Integrity Index (IEII) to measure the integrity of profit reporting. The research also explores the use of Artificial Intelligence (AI) and Natural Language Processing (NLP) in detecting hidden narrative intentions. The findings show that IEIM can improve the transparency, accountability, and social legitimacy of Islamic financial institutions. This model has the potential to be an evaluative and regulatory tool in financial reporting based on Islamic ethics.

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Publication Details

Journal
Formosa Journal of Applied Sciences
Published
2025-06-24
DOI
https://doi.org/10.55927/fjas.v4i6.177
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Reconstructing Revenue Management Ethics in Islamic Finance: a Maqashid-Based Integrity Model and Empirical Framework

Sumarlin Sumarlin, Desy Rahmawati Anwar, Wahyuddin Abdullah
Formosa Journal of Applied Sciences
Islamic Finance and Banking Studies
article

Reconstructing Revenue Management Ethics in Islamic Finance: a Maqashid-Based Integrity Model and Empirical Framework

Sumarlin Sumarlin, Desy Rahmawati Anwar, Wahyuddin Abdullah
article en

Abstract

This research develops the Islamic Earnings Integrity Model (IEIM) as a conceptual and empirical framework to reconstruct profit management ethics in Islamic finance, based on the principles of maqashid al-shariah: niyyah (intention), thariqah (method), and ma'al (impact). Through a qualitative and quantitative approach, this model is tested on Islamic financial institutions and equipped with the Islamic Earnings Integrity Index (IEII) to measure the integrity of profit reporting. The research also explores the use of Artificial Intelligence (AI) and Natural Language Processing (NLP) in detecting hidden narrative intentions. The findings show that IEIM can improve the transparency, accountability, and social legitimacy of Islamic financial institutions. This model has the potential to be an evaluative and regulatory tool in financial reporting based on Islamic ethics.

Formosa Journal of Applied SciencesVol. 4(6)
Universitas Patria Artha (ID)
Openalex Percentile: Top 70%
Islamic Finance and Banking Studies
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