A Closer Look at Zakat Collection Technology Research: A Bibliometric Analysis

Zakat technology is a significant innovation in the optimization of zakat collection and distribution, leveraging digital platforms to enhance efficiency and transparency. This research aims to identify gaps and trends in zakat technology research through a bibliometric analysis of publications from 2019 to 2024 using Scopus data. The study employs a quantitative approach, utilizing tools like VOSviewer and biblioshiny for data visualization. The research process involves four steps: defining keywords, initializing search results, refining results, and analyzing data. Key findings include a consistent increase in publications, with the Journal of Islamic Accounting and Business Research being the most prolific publisher and Widiastuti T. the leading author. Frequently used keywords such as "zakat" and "zakat institution" indicate strong research interest. Indonesia and Malaysia are the top contributors to this field. The study highlights potential future research areas, including the integration of blockchain technology in zakat management. The most influential article is titled "An Artificial Intelligence and NLP based Islamic FinTech Model Combining Zakat and Qardh-Al-Hasan for Countering the Adverse Impact of COVID-19 on SMEs and Individuals." This research provides valuable insights for researchers, policymakers, and practitioners, emphasizing the need for further studies to validate existing findings and explore new areas within zakat technology. Overall, the study contributes to filling gaps in the literature and enhancing understanding of zakat technology's development and application.