Trends in Islamic Accounting Research Using Content Mining Techniques Fifitri Ali (a*), Faradillah Amalia Rivai (b)
a. Politeknik Caltex Riau
b. National Yunlin University of Science and Technology
Abstract
This paper explains a content mining technique by using bibliographic coupling analysis for Islamic accounting research. This study uses 320 published articles from Web of Science (WoS) database starting from January 2000 till December 2021. The data is analyzed by using Content Analysis Toolkit for Academic Research (CATAR) and UciNet. The result shows that there are four Islamic Accounting theme- (1) Corporate Social Responsibility Islamic, (2) Economic Islamic, (3) Islamic Banking and (4) Islamic Equity Market. The prominent trends in the journal in terms of papers, authors, institutions, nations, journals, subjects, and keywords will be identified in this study. Readers will be able to fully comprehend the journal thanks to this study. The study offers an unbiased assessment of the journal^s development over the course of 22 years of existence- it highlights accomplishments and explores the development and contribution of the journal to scientific research.
