PENGARUH ARTIFICIAL INTELLIGENCE TERHADAP ACCEPTANCE OF AI ENABLED BANKING: STUDI KASUS PADA LIVIN’ BY MANDIRI

  • Nadira Ochell Andrea Universitas Telkom, Bandung, Indonesia
  • Mochamad Yudha Febrianta Universitas Telkom, Bandung, Indonesia

Abstract

Perkembangan teknologi telah menggantikan banyak aktivitas manusia dengan mesin otomatis dan digital, termasuk dalam sektor perbankan Indonesia. Transformasi ini menciptakan ekonomi digital perbankan. Dalam survei Top Brand Index Mobile Banking, Livin' by Mandiri menempati posisi ketiga. Untuk meningkatkan layanannya, Livin' by Mandiri menerapkan fitur AI seperti pembukaan rekening online, login dengan face recognition dan fingerprint, serta catatan keuangan otomatis. Namun, beberapa pengguna masih mengalami kendala dengan AI tersebut. Tujuan dari penelitian ini untuk mengetahui pengaruh expectation confirmation theory dan artificial intelligence features seperti trendiness, visual attractiveness, problem solving, communication quality, dan customization terhadap user satisfaction. Selain itu pengaruh user satisfaction dan corporate reputation terhadap acceptance of AI enabled banking juga diteliti. Penelitian ini menggunakan metode kuantitatif dengan survei kuesioner. Sampel sebanyak 172 responden diperoleh menggunakan G*Power dan diperoleh jawaban valid sebanyak 320 responden. Analisis data dilakukan dengan PLS-SEM menggunakan software SmartPLS 4.0. Hasil dari penelitian menunjukkan expectation confirmation, perceived performance, customization, dan communication quality berpengaruh signifikan dan positif terhadap user satisfaction. User satisfaction dan corporate reputation juga berpengaruh signifikan dan positif terhadap acceptance of AI enabled Banking. Fitur trendiness, visual attractiveness, dan problem solving tidak berpengaruh terhadap user satisfaction.

References

Ali Memon, M., Ting, H., Cheah, J.-H., Thurasamy, R., Chuah, F., & Huei Cham, T. (2020). Journal of Applied Structural Equation Modeling SAMPLE SIZE FOR SURVEY RESEARCH: REVIEW AND RECOMMENDATIONS. In Journal of Applied Structural Equation Modeling (Vol. 4, Issue 2).
Alnemer, H. A. (2022). Determinants of digital banking adoption in the Kingdom of Saudi Arabia: A technology acceptance model approach. Digital Business, 2(2). https://doi.org/10.1016/j.digbus.2022.100037
Al-Okaily, M., Al-Kofahi, M., Shiyyab, F. S., & Al-Okaily, A. (2023). Determinants of user satisfaction with financial information systems in the digital transformation era: insights from emerging markets. Global Knowledge, Memory and Communication. https://doi.org/10.1108/GKMC-12-2022-0285
Andrade, I. M. De, & Tumelero, C. (2022). Increasing customer service efficiency through artificial intelligence chatbot. Revista de Gestao, 29(3), 238–251. https://doi.org/10.1108/REGE-07-2021-0120
Appbot. (2023). Review App Livin’ by Mandiri .
Bhandari, U., Chang, K., & Neben, T. (2019). Understanding the impact of perceived visual aesthetics on user evaluations: An emotional perspective. Information and Management, 56(1), 85–93. https://doi.org/10.1016/j.im.2018.07.003
Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587–595. https://doi.org/10.1016/j.jbusres.2018.10.004
Eren, B. A. (2021). Determinants of customer satisfaction in chatbot use: evidence from a banking application in Turkey. International Journal of Bank Marketing, 39(2), 294–311. https://doi.org/10.1108/IJBM-02-2020-0056
Fonna, N. (2019). Pengembangan  Revolusi  Industri  4.0  dalam  Berbagai  Bidang. Gauepedia.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Second Edition.
Hamid, R. S., & Anwar, S. M. (2019). STRUCTURAL EQUATION MODELING (SEM) BERBASIS VARIAN: Konsep Dasar dan Aplikasi dengan Program SmartPLS 3.2.8 dalam Riset Bisnis. www.institutpenulis.id
Indrawati. (2015). Metode Penelitian Manajemen dan Bisnis: Konvergensi Teknologi Komunikasi dan Informasi. Refika Aditama.
Kuo, R. Z. (2020). Why do people switch mobile payment service platforms? An empirical study in Taiwan. Technology in Society, 62. https://doi.org/10.1016/j.techsoc.2020.101312
Laurence, S., & Candiwan. (2020). The Role of Trust Toward Continuance Usage Intention: of Mobile payment with Gender as Moderation. 13(1), 64–73. http://journal.stekom.ac.id/index.php/e-bisnispage64
Lee, C. T., & Pan, L. Y. (2023). Smile to pay: predicting continuous usage intention toward contactless payment services in the post-COVID-19 era. International Journal of Bank Marketing, 41(2), 312–332. https://doi.org/10.1108/IJBM-03-2022-0130
Mandiri. (2023a). Dorong Kinerja, Bank Mandiri Lanjutkan Transformasi Digital Di Ulang Tahun Ke-23. PT Bank Mandiri Tbk (Persero). https://www.bankmandiri.co.id/en/news-detail?primaryKey=45757661&backUrl=%2Fsearch%3Fkeywords%3Dverifikasi%20wajah%26searchCategory%3D1
Mandiri. (2023b). Lanjutkan Transformasi Digital Perbankan, Mandiri Memperkenalkan Livin’ By Mandiri. PT Bank Mandiri (Persero) Tbk. https://www.bankmandiri.co.id/en/news-detail?primaryKey=44285018&backUrl=/news
Mi Alnaser, F., Rahi, S., Alghizzawi, M., & Ngah, A. H. (2023). Does artificial intelligence (AI) boost digital banking user satisfaction? Integration of expectation confirmation model and antecedents of artificial intelligence enabled digital banking. Heliyon, 9(8). https://doi.org/10.1016/j.heliyon.2023.e18930
Narteh, B., & Braimah, M. (2020). Corporate reputation and retail bank selection: the moderating role of brand image. International Journal of Retail and Distribution Management, 48(2), 109–127. https://doi.org/10.1108/IJRDM-08-2017-0164
Nurhanisah, Y. (2023). Pengguna Internet di Indonesia Makin Tinggi. Indonesiabaik.Id. https://indonesiabaik.id/infografis/pengguna-internet-di-indonesia-makin-tinggi
Omoge, A. P., Gala, P., & Horky, A. (2022). Disruptive technology and AI in the banking industry of an emerging market. International Journal of Bank Marketing, 40(6), 1217–1247. https://doi.org/10.1108/IJBM-09-2021-0403
Rahi, S., & Abd. Ghani, M. (2019). Integration of expectation confirmation theory and self-determination theory in internet banking continuance intention. Journal of Science and Technology Policy Management, 10(3), 533–550. https://doi.org/10.1108/JSTPM-06-2018-0057
Ramadhani, A., Handayani, P. W., Pinem, A. A., & Sari, P. K. (2023). The Influence of Conversation Skills on Chatbot on Purchase Behavior in E-Commerce. Jurnal Manajemen Indonesia, 23(3), 287. https://doi.org/10.25124/jmi.v23i3.5304
Santoso, W., Sitorus, P. M., Batunanggar, S., Krisanti, F. T., Anggadwita, G., & Alamsyah, A. (2020). Talent mapping: a strategic approach toward digitalization initiatives in the banking and financial technology (FinTech) industry in Indonesia. Journal of Science and Technology Policy Management, 12(3), 399–420. https://doi.org/10.1108/JSTPM-04-2020-0075
Sugiat, M., & Sudirman, A. (2024). Model Analysis of the Mediation Effect of Customer Satisfaction on Customer Loyalty in Mitratel Companies: The Role of CRM and Company Reputation as Predictors. Jurnal Manajemen Indonesia, 24(1), 105. https://doi.org/10.25124/jmi.v24i1.7353
topbrandaward.com. (2023). Komparasi Brand Index. Topbrandaward.Com. https://www.topbrand-award.com/komparasi_brand/bandingkan?id_award=1&id_kategori=14&id_subkategori=227
 Zulkarnaen, W., Fitriani, I., & Yuningsih, N. (2020). Pengembangan Supply Chain Management Dalam Pengelolaan Distribusi Logistik Pemilu Yang Lebih Tepat Jenis, Tepat Jumlah Dan Tepat Waktu Berbasis Human Resources Competency Development Di KPU Jawa Barat. Jurnal Ilmiah MEA (Manajemen, Ekonomi, & Akuntansi), 4(2), 222-243. https://doi.org/10.31955/mea.vol4.iss2.pp222-243.
Published
2024-09-05
How to Cite
Andrea, N., & Febrianta, M. (2024). PENGARUH ARTIFICIAL INTELLIGENCE TERHADAP ACCEPTANCE OF AI ENABLED BANKING: STUDI KASUS PADA LIVIN’ BY MANDIRI. Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA), 8(3), 253-272. https://doi.org/10.31955/mea.v8i3.4443
Section
Articles