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Evaluating Indonesian Islamic Banking Scholarly Publications: A Data Analytics

Journal of Islamic Monetary Economics and Finance · Vol. 8 No. 3 (2022) · hlm. 341–370

DOI
10.21098/jimf.v8i3.1560
ISSN
2460-6618, 2460-6146
Terbit
2022-08-30
Penerbit
Bank Indonesia
Bahasa
eng

Abstrak

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.

Kata kunci

Jaringan kolaborasi para penulis

27 penulis · 156 tautan kepenulisan bersama · 131 lintas organisasi

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  • Bangladesh Institute of International and Strategic Studies
  • Universitas Islam Darussalam
  • Padjadjaran University
  • Chaoyang University of Technology
  • Bandung Institute of Technology
  • National Research and Innovation Agency
  • Muhammadiyah University of Surakarta
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Vijaya IsnaniawardhaniPadjadjaran University1
Prana Ugiana GioUniversitas Sumatera Utara1
Emi SukiyahPadjadjaran University1
Rezzy Eko CarakaChaoyang University of Technology1
Anjar Dimara SaktiBandung Institute of Technology1
Bens PardameanBinus University1
Muhammad Khahfi ZuhandaMedan Area University1
Yudo AnggoroBandung Institute of Technology1
Khairunnisa SupardiRumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo1
Rung Ching ChenChaoyang University of Technology1
Noor Ell GoldameirAfiliasi tidak diketahui1
Avia Enggar TyastiPoliteknik APP Jakarta1
Rumanintya Lisaria PutriNational Research and Innovation Agency1
Amos LukasNational Research and Innovation Agency1
Rishan AdhaUniversity of Mataram1
Pahrudin PahrudinUniversitas Hamzanwadi1
Irwandi JaswirInternational Islamic University Malaysia1
Abdul Aziz Yahya SaoqiBangladesh Institute of International and Strategic Studies1
Hidayaneu FarchatunnisaBangladesh Institute of International and Strategic Studies1
Ulfah Lathifah JunariBangladesh Institute of International and Strategic Studies1
Muhamad Subhi ApriantoroMuhammadiyah University of Surakarta1
Muhammad ZakiyMuhammadiyah University of Yogyakarta1
Abdelkader LaallamKing Faisal University1
Fauzul Hanif Noor AthiefMuhammadiyah University of Surakarta1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://www.jimf-bi.org/index.php/JIMF/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">Evaluating Indonesian Islamic Banking Scholarly Publications: A Data Analytics</dc:title>
	<dc:creator xml:lang="en">Hassan, Muhammad Kabir</dc:creator>
	<dc:creator xml:lang="en">Hudaefi, Fahmi Ali</dc:creator>
	<dc:creator xml:lang="en">Agung, Ahmad</dc:creator>
	<dc:subject xml:lang="en">Bibliometrics, Data analytics, Islamic bank, Indonesia.</dc:subject>
	<dc:description xml:lang="en">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.</dc:description>
	<dc:publisher xml:lang="en">Bank Indonesia</dc:publisher>
	<dc:date>2022-08-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jimf-bi.org/JIMF/article/view/1560</dc:identifier>
	<dc:identifier>10.21098/jimf.v8i3.1560</dc:identifier>
	<dc:source xml:lang="en">Journal of Islamic Monetary Economics and Finance; Vol. 8 No. 3 (2022); 341 - 370</dc:source>
	<dc:source>2460-6618</dc:source>
	<dc:source>2460-6146</dc:source>
	<dc:source>10.21098/jimf.v8i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jimf-bi.org/JIMF/article/view/1560/902</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2022 Prof. M. Kabir Hassan</dc:rights>
</oai_dc:dc>