Analisis Pendekatan Stimulus-Organism-Response Terhadap Adopsi M-Banking Syariah dengan Artificial Intelligence: Sebuah Bukti Empiris Generasi Z
DOI:
https://doi.org/10.14421/jmes.2023.022-02Keywords:
Artificial intelligence, Sharia m-banking, S-O-RAbstract
Sharia m-banking users are increasingly rising among the Indonesian people. This study aims to analyze the stimulus-organism-response (S-O-R) approach to the adoption of Islamic m-banking with artificial intelligence among Generation Z. This paper contributes to or enriches the behavior of Islamic m-banking adoption with artificial intelligence Which of course is expected to be a consideration in the formulation of policies for stakeholders including Islamic financial institutions. This research is a type of field research using quantitative methods. Data collection using questionnaires was conducted online through Google Forms. Analysis with PLS-SEM using Smart-PLS with a sample of 100 respondents spread across several regions in South Sulawesi. The respondents were determined by the main criteria, namely Muslims aged 11-26 years who represent Generation Z. The results showed that perceived usability and perceived intelligence positively affect trust. In addition, perceived usability positively affects attitude, while trust and attitude positively affect the adoption of Islamic m-banking. However, unlike the case with perceived intelligence, service quality, and security do not significantly affect attitude, besides that service quality and security do not significantly affect trust. Meanwhile, the small impact produced by these factors. In addition, other factors have a greater influence on attitudes and beliefs in adopting Islamic m-banking-AI.
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References
Adam, M., Wessel, M., & Benlian, A. (2021). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427–445. https://doi.org/10.1007/s12525-020-00414-7
Akhtar, S., Irfan, M., Kanwal, S., & Pitafi, A. H. (2019). Analysing UTAUT with trust toward mobile banking adoption in China and Pakistan: extending with the effect of power distance and uncertainty avoidance. International Journal of Financial Innovation in Banking, 2(3), 183. https://doi.org/10.1504/ijfib.2019.102307
Alonso-Dos-Santos, M., Soto-Fuentes, Y., & Valderrama-Palma, V. A. (2020). Determinants of Mobile Banking Users’ Loyalty. Journal of Promotion Management, 26(5), 615–633. https://doi.org/10.1080/10496491.2020.1729312
Ardianto, P. (2023). Kuartal I 2023, Pengguna BSI Mobile Tembus 5,18 Juta. Beritasatu.Com. https://www.beritasatu.com/ekonomi/1040746/kuartal-i-2023-pengguna-bsi-mobile-tembus-518-juta
Bertagnolli, C. (2011). Delle vicende dell’agricoltura in Italia; studio e note di C. Bertagnolli. Delle Vicende Dell’agricoltura in Italia; Studio e Note Di C. Bertagnolli., 13(3), 319–340. https://doi.org/10.5962/bhl.title.33621
Djulianto, M. V. (2022). Peran Perceived Usability, Satisfaction, Dan Customer Trust Dalam Merancang Dan Mengembangkan Loyalitas Pengguna Website Edutech”. In Universitas Dinamika (Issue 8). Universitas Dinamika.
Djulianto, M. V., Poerna Wardhanie, A., & Candraningrat, C. (2022). the Role of Perceived Usability, Satisfaction, and Customer Trust in Design and Developing User Loyalty Edutech Website. Business and Finance Journal, 7(2), 183–194. https://doi.org/10.33086/bfj.v7i2.3493
Dyah Budiastuti, & Bandur, A. (2018). Validitas dan Realibilitas Penelitian. In Mitra Wacana Media.
Hilmawan, T. W. (2020). Faktor-faktor yang mempengaruhi minat masyarakat Kota Malang menggunakan uang elektronik dengan menggunakan model UTAUT. Skripsi Universitas Islam Negeri Maulana Malik Ibrahim, 124.
irawan, D., Widhi N, P., Sagiman, R., & Nugroho, S. (2020). Pengaruh Theory Planned Behavior terhadap Keputusan Menabung di Rekening Syariah. Indonesian Business Review, 3(1), 1–14. https://doi.org/10.21632/ibr.3.1.1-14
Kaabachi, S., Ben Mrad, S., & Fiedler, A. (2020). The moderating effect of e-bank structure on French consumers’ trust. International Journal of Bank Marketing, 38(2), 501–528. https://doi.org/10.1108/IJBM-04-2019-0119
Kim, J., & Lennon, S. J. (2013). Effects of reputation and website quality on online consumers’ emotion, perceived risk and purchase intention: Based on the stimulus-organism-response model. Journal of Research in Interactive Marketing, 7(1), 33–56. https://doi.org/10.1108/17505931311316734
Kim, M. J., Lee, C. K., & Jung, T. (2020). Exploring Consumer Behavior in Virtual Reality Tourism Using an Extended Stimulus-Organism-Response Model. Journal of Travel Research, 59(1), 69–89. https://doi.org/10.1177/0047287518818915
Kishada, Z. M. E. M., Wahab, N. A. B., & Mustapha, A. (2016). Customer Loyalty Assessment In Malaysian Islamic Banking Using Artificial Intelligence. Journal of Theoretical and Applied Information Technology, 87(1).
Krammer, S. M. S. (2017). Science, technology, and innovation for economic competitiveness: The role of smart specialization in less-developed countries. Technological Forecasting and Social Change, 123(May 2015), 95–107. https://doi.org/10.1016/j.techfore.2017.06.028
Kristhiofan, K. Y., & Fadli, F. (2023). Pengaruh E-Service Quality, E-Trust dan Artificial Intelligence Terhadap Nasabah Experience Pengguna Aplikasi Brimo. Contemporary Studies In Economic, Finance And Banking, 2(2), 181–192.
Laras. (2020). Analisis Penerimaan Mobile Banking Perbankan Syariah dengan Menggunakan Pendekatan Technology Acceptance Model. In Repository.Uinjkt.Ac.Id. http://repository.uinjkt.ac.id/dspace/handle/123456789/54244
Maulana, A. O., Herfanda, G. C., & Hasan, F. (2022). Perceived trustworthiness of artificial intelligence implementation in Indonesia public sector services: Gen Z and Millennial perspectives. Jurnal Akuntansi & Auditing Indonesia, 26(1), 65–75. https://doi.org/10.20885/jaai.vol26.iss1.art7
McKinsey & Company. (2021). Building TheBank of The Future. Global Banking Practice, May. https://www.home.barclays/content/dam/barclayspublic/docs/InvestorRelations/AnnualReports/AR2016/Barclays PLC Annual Report 2016.pdf
Meheabian, A., & Russel., J. A. (1974). An Approach to Environmental Psychology. MIT Press: Cambridge, MA, USA.
Meiryani. (2021). Memahami Uji T dalam Regresi Linier. Accounting.Binus.Ac.Id. https://accounting.binus.ac.id/2021/08/12/memahami-uji-t-dalam-regresi-linear/
Mentari, A. D. (2018). Pengaruh Kesadaran, Kecepatan Transaksi, Keamanan, Manfaat yang Dirasakan dengan Mediasi Persepsi Kemudahan Penggunaan terhadap Adopsi m-banking BRI Makassar Raya. Journal of Business and Banking, 8(1), 157–175.
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), e18930. https://doi.org/10.1016/j.heliyon.2023.e18930
Moussawi, S., & Koufaris, M. (2019). Perceived intelligence and perceived anthropomorphism of personal intelligent agents: Scale development and validation. Proceedings of the Annual Hawaii International Conference on System Sciences, 2019-Janua, 115–124. https://doi.org/10.24251/hicss.2019.015
Mundir, A., & Lilik Nur Hayati. (2021). Pengaruh Layanan Mobile Banking Terhadap Kepuasan Nasabah di BRI Syari’ah KCP Malang Pandaan Kabupaten Pasuruan. Malia, 12(2), 243–256. https://doi.org/10.35891/ml.v12i2.2668
OJK. (2021). Implementasi Artificial Intelligence (AI) untuk Digital Banking. Ojk.Go.Id. https://www.ojk.go.id/ojk-institute/id/capacitybuilding/past/317/implementasi-artificial-intelligence-ai-untuk-digital-banking
Oktavia, H., Abdurrahman, L., Mulyana, R., Telkom, U., Orientation, U., Excellence, O., Model, P., & Square, P. L. (2021). Pembuatan Model Balanced Scorecard Ti Menggunakan Pendekatan Structural Equation Model (SEM) Berbasis Varian Di Pt . Telekomunikasi Indonesia Tbk Pada Unit Enterprise Service ( Sem ) on Varian Models in Pt . Telekomunikasi Indonesia Enterprise. 8(5), 9347–9354.
Pillai, R., & Sivathanu, B. (2020). Adoption of AI-based chatbots for hospitality and tourism. International Journal of Contemporary Hospitality Management, 32(10), 3199–3226. https://doi.org/10.1108/IJCHM-04-2020-0259
Rafiq, F., Dogra, N., Adil, M., & Wu, J. Z. (2022). Examining Consumer’s Intention to Adopt AI-Chatbots in Tourism Using Partial Least Squares Structural Equation Modeling Method. Mathematics, 10(13). https://doi.org/10.3390/math10132190
Rahayu, D., Mukrodin, M., & Hariyono, R. (2020). Penerapan Artificial Intelligence Dalam Aplikasi Chatbot Sebagai Helpdesk Objek Wisata Dengan Permodelan Simple Reflex-Agent (Studi Kasus : Desa Karangbenda). Smart Comp :Jurnalnya Orang Pintar Komputer, 9(1), 7–21. https://doi.org/10.30591/smartcomp.v9i1.1813
Rahmat abidin, A., & Abidin, M. (2021). Urgensi Komunikasi Model Stimulus Organism Response (S-O-R) Dalam Meningkatkan Kualitas Pembelajaran. Al-Iltizam: Jurnal Pendidikan Agama Islam, 6(2), 74. https://doi.org/10.33477/alt.v6i2.2525
Saputra, R. Y., Az-Zahra, H. M., & Wijoyo, S. H. (2019). Analisis Pengaruh User Experience Portal Berita Terhadap Citra Merek (Studi Pada Portal Berita XYZ). Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(8), 7809–7816. https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/6070
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. https://doi.org/10.1108/JIMA-12-2020-0380
Utama, M. S., Nimran, U., Hidayat, K., & Prasetya, A. (2022). Effect of Religiosity, Perceived Risk, and Attitude on Tax Compliant Intention Moderated by e-Filing. International Journal of Financial Studies, 10(1). https://doi.org/10.3390/ijfs10010008
Utama, R. S. (2021). Analisis Faktor - Faktor Yang Mempengaruhi Penggunaan Berkelanjutan Layanan Mobile Banking Syariah Di Indonesia. https://dspace.uii.ac.id/bitstream/handle/123456789/31947/16423062 Royan Sendika Utama.pdf?sequence=1
Venkatesh; Viaswanath, & Davis; Fred D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204. https://www.jstor.org/stable/pdf/2634758.pdf
Woodworth, R. S. (1929). Psychology. Holt: New York, NY, USA.
Wulandari, S., Keni, K., & Teoh, A. P. (2023). Pengaruh Relative Advantage Dan Perceived Ease of Use Terhadap Attitude Dengan Trust Sebagai Variabel Mediasi. Jurnal Muara Ilmu Ekonomi Dan Bisnis, 7(1), 68–79. https://doi.org/10.24912/jmieb.v7i1.21228
Zahra Mansyriah, H., & Shinta Dewi, R. (2023). Pengaruh E-Service Quality Terhadap E-Loyalty Dengan E-Satisfaction Sebagai Variabel Intervening Pada Nasabah Bank Mandiri Pengguna New Livin By Mandiri Di Kota Semarang. Jurnal Ilmu Administrasi Bisnis, 12(1), 195–202. https://ejournal3.undip.ac.id/index.php/jiab
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