Pemanfaatan Sistem Artificial Intelligence Pada Industri Perbankan: Systematic Literature Review
DOI:
https://doi.org/10.51544/jma.v9i1.5281Keywords:
Artificial intelligence, Bank, Perbankan, Machine Learning, ChatbotAbstract
Perkembangan teknologi saat ini telah mendorong digitalisasi pada operasional dan layanan perbankan, dengan adanya teknologi diharapkan dapat mengotomatisasi berbagai tugas dan layanan perbankan sehingga menjadi lebih efisien dan efektif. Pemanfaatan sistem berbasis artificial intelligence (AI) digunakan di berbagai industri, termasuk industri perbankan. Penelitian ini merupakan penelitian studi literatur (systematic literature review), data dikumpulkan dari pencarian artikel yang diterbitkan pada portal Scopus dengan pencarian artikel dengan topik pembahasan AI pada industri perbankan. Penelitian ini bertujuan untuk mengetahui bagaimana pemanfaatan AI pada industri perbankan dan jenis AI yang digunakan. Hasil penelitian ini dapat bermanfaat untuk mempertimbangkan keputusan dalam mengoptimalkan penggunaan dan pengembangan AI di industri perbankan.
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AL-Mafrji, A. A. M., Fakhrudeen, A. M., & Chaari, L. (2023). Expert Systems in Banking: Artificial Intelligence Application in Supporting Banking Decision-Making. International Journal of Intelligent Systems and Applications in Engineering, 11(4s), 61-69.
Alqasa, K. M. A. (2023). Impact of artificial intelligence-based marketing on banking customer satisfaction: examining moderating role of ease of use and mediating role of brand image. Transnational Marketing Journal, 11(1), 167-180.
Basri, W. S., & Almutairi, A. (2023). Enhancing Financial Self-efficacy through Artificial Intelligence (AI) in Banking Sector. International Journal of Cyber Criminology, 17(2), 284-311.
Bhattacharya, C., & Sinha, M. (2022). The role of artificial intelligence in banking for leveraging customer experience. Australasian Accounting, Business and Finance Journal, 16(5), 89-105.
Brackert, T., Chen, C., Colado, J., Poddar, B., Dupas, M., Maguire, A., ... & Wegner, M. (2021). Global retail banking 2021: The front-to-back digital retail bank. Boston Consulting Group.
Boustani, N. M. (2022). Artificial intelligence impact on banks clients and employees in an Asian developing country. Journal of Asia Business Studies, 16(2), 267-278.
Chitimira, H., & Ncube, P. (2021). The regulation and use of artificial intelligence and 5g technology to combat cybercrime and financial crime in south african banks. Potchefstroom Electronic Law Journal/Potchefstroomse Elektroniese Regsblad, 24(1).
Eneizan, B. (2022). Artificial intelligence in customer service: An empirical study of the banking sector. Journal of Cultural Marketing Strategy, 7(1), 63-74.
European Central Bank (2018). Fifth report on card fraud, September 2018. 7 Mei 2024.https://www.ecb.europa.eu/press/cardfraud/html/ecb.cardfraudreport201809.en.html
Fares, O. H., Butt, I., & Lee, S. H. M. (2023). Utilization of artificial intelligence in the banking sector: A systematic literature review. Journal of Financial Services Marketing, 28(4), 835-852.
Fraisse, H., & Laporte, M. (2022). Return on investment on artificial intelligence: The case of bank capital requirement. Journal of Banking & Finance, 138, 106401.
Gallego-Gomez, C. (2020). Artificial intelligence as an enabling tool for the development of dynamic capabilities in the banking industry. International Journal of Enterprise Information Systems, 16(3),
Haddad, H. (2021). The effect of artificial intelligence on the AIS excellence in Jordanian banks. Montenegrin Journal of Economics, 17(4), 155–166.
Hussain, S., Gul, R., & Ullah, S. (2023). Role of financial inclusion and ICT for sustainable economic development in developing countries. Technological Forecasting and Social Change, 194, 122725.
Itri, B., Mohamed, Y., Omar, B., & Mohamed, Q. (2021). Composition of feature selection methods and oversampling techniques for banking fraud detection with artificial intelligence. International Journal of Engineering Trends and Technology, 69(11), 216–226.
Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. In Technical report, Ver. 2.3 EBSE Technical Report. EBSE.
Lee, J. C., & Chen, X. (2022). Exploring users' adoption intentions in the evolution of artificial intelligence mobile banking applications: the intelligent and anthropomorphic perspectives. International Journal of Bank Marketing, 40(4), 631-658.
Lee, H. (2020). Role of artificial intelligence and enterprise risk management to promote corporate entrepreneurship and business performance: evidence from korean banking sector. Journal of Intelligent and Fuzzy Systems, 39(4), 5369–5386.
Lin, R. R., & Lee, J. C. (2023). The supports provided by artificial intelligence to continuous usage intention of mobile banking: Evidence from China. Aslib Journal of Information Management, (ahead-of-print).
Milojević, N., & Redzepagic, S. (2021). Prospects of artificial intelligence and machine learning application in banking risk management. Journal of Central Banking Theory and Practice, 10(3), 41-57.
Nightingale, A. (2009). A guide to systematic literature reviews. Surgery (Oxford), 27(9), 381-384.
Northey, G., Hunter, V., Mulcahy, R., Choong, K., & Mehmet, M. (2022). Man vs machine: how artificial intelligence in banking influences consumer belief in financial advice. International Journal of Bank Marketing, 40(6), 1182-1199.
Piotrowski, D., & Orzeszko, W. (2023). Artificial intelligence and customers’ intention to use robo-advisory in banking services. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(4), 967-1007.
Pournader, M., Ghaderi, H., Hassanzadegan, A., & Fahimnia, B. (2021). Artificial intelligence applications in supply chain management. International Journal of Production Economics, 241, 108250.
Rahman, M., Ming, T. H., Baigh, T. A., & Sarker, M. (2023). Adoption of artificial intelligence in banking services: an empirical analysis. International Journal of Emerging Markets, 18(10), 4270-4300.
Ramana, S. V., Katta, A. K., Rao, P. S., Rao, S. S., & Raja, R. (2022). Impact of Artificial Intelligence on Fraud Detection in Retail Banking Products. International Journal of Intelligent Systems and Applications in Engineering, 10(4), 124-129.
Singhal, A., Dube, P., & Jain, V. K. (2022). Modelling barriers of artificial intelligence in banking sectors using total interpretive structural modelling. International Journal of Applied Decision Sciences, 15(3), 311-335.
Suhartanto, D., Syarief, M. E., Chandra Nugraha, A., Suhaeni, T., Masthura, A., & Amin, H. (2022). Millennial loyalty towards artificial intelligence-enabled mobile banking: evidence from Indonesian Islamic banks. Journal of Islamic marketing, 13(9), 1958-1972.
Tseng, H. T., Lo, C. L., & Chen, C. C. (2023). The Moderation Role of AI-Enabled Service Quality on the Attitude Toward Fitness Apps. Journal of Global Information Management (JGIM), 31(1), 1-20.
Venkatesan, S., & Sumathi, N. (2019). Technology acceptance of artificial intelligence in banking and its impact on banking efficiency. International Journal of Innovative Technology and Exploring Engineering, 8(7), 11.
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