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All Journal Journal of Islamic Monetary Economics and Finance Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit
Hudaefi, Fahmi Ali
Unknown Affiliation
Humanities Economics, Econometrics & Finance

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Public Sentiment on Sustainable Finance and Implications for Islamic Banks Septiana, Nurul Izzati; Swandaru, Randi; Hudaefi, Fahmi Ali
Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit Vol. 11 No. 2 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jreksa.v11i2.10441

Abstract

This paper attempts to identify the challenges and strategies for implementing sustainable finance in Islamic banking and to analyze public opinion on sustainable finance on the Twitter platform using sentiment analysis. The research methods used in this study are the Analytical Network Process (ANP) method to answer the first research objective and the sentiment analysis method, which can assess public opinion based on emotions and sentiments in a particular text to answer the second research objective. The results of the study identified several challenges and priority strategies for implementing sustainable finance in Islamic banks. They identified the sentiment of words that can be used to design communication strategies to create a positive image for the company because it is associated with sustainable finance. This study may contribute to enhancing the implementation of sustainable finance in Islamic banks and better communicating with the public on this matter.
EVALUATING INDONESIAN ISLAMIC BANKING SCHOLARLY PUBLICATIONS: A DATA ANALYTICS Hassan, Muhammad Kabir; Hudaefi, Fahmi Ali; Agung, Ahmad
Journal of Islamic Monetary Economics and Finance Vol 8 No 3 (2022)
Publisher : Bank Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21098/jimf.v8i3.1560

Abstract

This study employs bibliometric analysis to evaluate 443 scholarly works on the topics of Indonesian Islamic banking published on 194 academic platforms, and authored by 1049 scholars. The machine learning tools i.e., R Studio and VOSviewer were employed to analyse the Scopus’ bibliographical data automatically harvested from the database. We developed four research questions based on the theories that are fundamental to bibliometric study, i.e., performance analysis, citation and co-citation analyses, bibliographic coupling and social network analysis, to identify the most impactful manuscripts, scholarly journals, authors, and institutions of affiliation. We further established the discussion of the current issues in Indonesian Islamic banking topics from the keyword analysis and the bibliographic coupling. These findings derive some recommendations for future research. This study provides a supply of scholarly novelty in the assessment of Indonesian Islamic banking publications which are both practically and theoretically importance to regulators, academia and industry professionals. Acknowledgment The authors would like to thank Bank Indonesia for the funding that made this study possible.
Co-Authors Agung, Ahmad Hassan, Muhammad Kabir Septiana, Nurul Izzati Swandaru, Randi