Big Data and Islamic Finance

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Author(s): Egi Arvian Firmansyah (Universiti Brunei Darussalam, Brunei & Universitas Padjadjaran, Indonesia)and Budi Harsanto (Universitas Padjadjaran, Indonesia)
Copyright: 2023
Pages: 14
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch008

Keywords: Data Analysis and Statistics / Information Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

Big data technologies have been adopted by various entities to expedite the decision-making process and make it more effective and efficient. Islamic financial institutions, the institutions complying with sharia rules, have also started leveraging their business operations through the big data technologies. Therefore, understanding the practices and studies focusing on big data and Islamic finance is essential to gain more insight into this matter. This article aims to portray the literature of big data in relation to Islamic finance indexed in academic databases, namely Web of Science, Scopus, and Google Scholar. The analysis was conducted using a systematic literature review on those three databases. The finding of this study reveals that four themes have been selected by researchers on big data and Islamic finance. The less researched themes discussed in this article can be the input for researchers to conduct further studies. Since the studies focusing on big data and Islamic finance are scant, this article contributes to the literature on big data and Islamic finance.

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