THE ROLE OF BIG DATA ANALYSIS IN FINANCIAL DECISION MAKING: THE CASE OF ISLAMIC BANKING
Keywords:
Big data, financial decision making, Islamic bankingAbstract
The use of big data from a Islamic economic perspective is certainly an important issue and cannot be postponed any longer, because the disparity in big data between the real sector and the financial sector, which has so far resulted in a lack of completeness in assessments, can be overcome by the limited data provided through big data. It is also possible that various matrices and cluster variants will emerge for various business sectors in an ecosystem. So it will make it easier to determine supply and demand in an ecosystem system. In this way, a closed loop economy based on a sharia ecosystem will be built automatically when big data is formed. This research uses an exploratory descriptive approach by analyzing the role of big data analysis in financial decision making: the case of Islamic banking. This scientific work was also developed using a literature review or library study approach. This research discusses the basic concepts of big data analysis consisting of the definition and characteristics of big data, financial decision making in sharia banking, and the potential application of big data analysis in Islamic banking.
References
Agustiningrum, D., & Andjarwati, A. L. 2021. Pengaruh Kepercayaan, Kemudahan, dan Keamanan terhadap Keputusan Pembelian di Marketplace. Jurnal Ilmu Manajemen, 9(3), 896–906.
Ahmed, I., 2016, Aspiration of an Islamic Bank: A Exploration from Stakeholders Pespective, International Journal of Islamic and Middle Eastern Finance dan Management, Vol. 9, No.1, pp-.
Ahmed, W., & Ameen, K. 2017. Defining Big Data and Measuring Its Associated Trends in the Field of Information and Library Management. Library Hi Tech News, 9, 21–24.
Albaity, M., & Rahman, M. 2019. The Intention to Use Islamic Banking: an Exploratory Study to Measure Islamic Financial Literacy. International Journal of Emerging Markets, 14, 988–1012.
Atanasius Hardian Permana Yogiarto, A. 2015. Pengaruh Bagi Hasil, Promosi, dan Kualitas Pelayanan terhadap Keputusan Penggunaan Jasa Perbankan Syariah Tabungan Mudharabah (Studi Kasus pada Nasabah Bank Muamalat Pekalongan) (Doctoral dissertation, Fakultas Ekonomi).
Astuty, P., & Umiyati, U. 2018. Inluence Of Religiosity Towards The Saving Interest At Islamic Banking With The Knowledge Of The People As Moderator Variable (Case Study On The People Of South Tanggerang City). Ikonomika, 3(1), 1–16.
Ayyub, S., Xuhui, W., Asif, M., & Ayyub, R. M. 2019. Determinants of Intention to Use Islamic Banking: A Comparative Analysis of Users and Non-Users of Islamic banking: Evidence from Pakistan. International Journal of Islamic and Middle Eastern Finance and Management, 13, 147– 163.
Bhimani, A., & Willcocks, L.. 2014. Digitisation, Big Data, and the Transformation of Accounting Information. Accounting and Business Research, 44(4) (2014), 469–490.
Bourany, T., 2018. Les 5V du big data. Regards croises sur l'economie, (2), pp.27-31.
Cahyani, Putri Dwi. 2016. Tingkat Kepuasan Nasabah Terhadap Kualitas Layanan Perbankan Syariah Di Yogyakarta. Jurnal Bisnis dan Manajemen. 6(2).
Carvalho, N., Chaim, O., Cazarini, E., & Gerolamo, M. 2018. Manufacturing in The Fourth Industrial Revolution: A Positive Prospect in Sustainable Manufacturing. Procedia Manufacturing, Vol. 21, pp 671-678.
Djasmin Maku, Yusman Alim. 2017. Penerapan Prinsip-Prinsip Tentang Perbankan Syariah Hubungannya dengan Otoritas Jasa Keuangan. Lex Crimen 6, no. 1
Dumbill, E. 2012. Big Data Now Current Perspective. O‟Reilly media.
Fosso Wamba, S., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. 2015. How “Big data” can make Big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234–246.
Gupta, U.G. and Gupta, A., 2016. Vision: a missing key dimension in the 5V Big Data framework. Journal of International Business Research and Marketing, 1(3), pp.50-56.
Lidyah, R. 2018. Islamic Corporate Governance, Islamicity Financial Perforance Index and Fraudat Islamic Bank. Jurnal Akuntansi, 22(3), 437–453.
M. Nur Rianto Al Arif. 2015. Pengantar Ekonomi Syariah: Teori dan Praktik (I). CV Pustaka Setia.
Masni H. 2019. Analisis Penerapan Shariah Compliance dalam Produk Bank Syariah. Jurnal Hukum Ekonomi Syariah, 3(2), 118–137.
Mikalef, P., Framnes, V. A., Danielsen, F., & Krogstie, J. 2017. Big Data Analytics Capability: Antecedents and Business Value. AIS Electronic Library (AISeL).
Muhammadiah, Muhammadiah, and Zulhamdi Zulhamdi. 2022. Implementasi Murabahah Pada Perbankan Syariah. Al-Hiwalah: Journal Syariah Economic Law 1, no. 1, 53–74.
Oatley, G.C., 2022. Themes in data mining, big data, and crime analytics. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 12(2), p.e1432.
Popovič, A., Hackney, R., Tassabehji, R., & Castelli, M. 2018. The impact of big data analytics on firms’ high value business performance. Information Systems Frontiers, 20(2), 209–222.
Yusman Alim. 2017. Penerapan Prinsip-Prinsip tentang Perbankan Syariah Hubungannya dengan Otoritas Jasa Keuangan. Lex Crimen, VI(1), 39–45.
Zulkarnaen, W., Fitriani, I., & Yuningsih, N. 2020. Pengembangan Supply ChainManagement Dalam Pengelolaan Distribusi Logistik Pemilu Yang Lebih Tepat Jenis, Tepat Jumlah Dan Tepat Waktu Berbasis Human Resources CompetencyDevelopment Di KPU Jawa Barat. Jurnal Ilmiah MEA (Manajemen, Ekonomi, &Akuntansi), 4(2), 222-243.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Jurnal Ekonomi dan Bisnis
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
