Developing Adaptive Islamic Law Business Processes Models for Islamic Finance and Banking by Text Mining the Holy Qur'an and Hadith

Document Type

Conference Proceeding

Source of Publication

Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017

Publication Date

3-29-2018

Abstract

© 2017 IEEE. A large number of conventional financial institutions, especially banks are moving to an Islamic financial model that's comply with the Shari'a Law with little change to current conventional practices (reverse eningineer current business processes) to accommodate the market for Islamic finance. This study is an attempt to design and develop the business processes for the Islamic financial institutions' (IFIs) products by investigating and collecting information through Islamic literature, surveys and interviews of experts in Islamic jurisprudence, regulators, academic and Islamic finance and banking practitioners. Then the findings will be assessed and evaluated using a Qur'anic Financial Corpus and use computational and analytical approaches to mine the Qur'an and the Hadith to find hidden knowledge on Islamic financial business processes. The knowledge acquired from this investigation will be translated into an Islamic financial process model to be adapted by Islamic and non-Islamic financial institutions. The outcome of this research will influence the future development, growth and diversification of Islamic financial services worldwide.

ISBN

9781538619551

Publisher

Institute of Electrical and Electronics Engineers Inc.

Volume

2018-January

First Page

1278

Last Page

1283

Disciplines

Business

Keywords

big data, business processes, Islamic Finance, Murabaha, Quránic corpus, Shariá law, text mining

Scopus ID

85048098934

Indexed in Scopus

yes

Open Access

no

Link to Full Text

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