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All Journal Neraca JRABA
Aryono Putranto, Ignatius
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Economics, Econometrics & Finance

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ACCEPTANCE TECHNOLOGY FACTORS OF MOBILE BANKING USAGE BASED ON UTAUT2 MODEL Aryono Putranto, Ignatius
Jurnal Riset Akuntansi Dan Bisnis Airlangga Vol 5 No 2 (2020): Jurnal Riset Akuntansi dan Bisnis Airlangga
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jraba.v5i2.46025

Abstract

The aim of this research was to examine factors in UTAUT2was developed by Venkatesh et al.,(2012)(Unified Theory of Acceptance and Use of Technology2) Model which were influenced people in using mobile banking. Constructs used in this research were: performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habits, behavioural intention, and use behaviour. This research based on survey research, and data were gathered using questionnaire. The questionnaires were distributed through internet link and it was responded by 199 respondents. The population in this research are every person who used mobile banking. The sample amount used the literature which was said that if the number of arrows in the model is maximum 10, the minimum amount of samplesare 91 samples.Data analysis techniques employed in this research was Partial Least Square–Structural Equation Modeling (PLS-SEM). Results from this research shows that the factors influencing use of mobile banking are habitss and behavioural intention. In other sides, factors that determine the intentions on using mobile banking are habitss and performance expectancy. Results of this research contributes to the identify the factors that should be enhanced by banks to optimize the use of mobile banking and also contributes to the banks customers to make them understand what factors influenced them most on using mobile banking. Theoretical contribution from this paper related to contribution of references about examining the factors affect use of mobile banking in Indonesia from the UTAUT2 model.
PENTINGKAH KECERDASAN BUATAN (ARTIFICIAL INTELLIGENCE) BAGI DOSEN AKUNTANSI? Triatmaja, Muhammad Fithrayudi; Aryono Putranto, Ignatius
Neraca Vol. 20 No. 2 (2024): NERACA
Publisher : FEB Universitas Muhammadiyah Pekajangan Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48144/neraca.v20i2.2000

Abstract

Perkembangan pesat Kecerdasan Buatan (Artificial Intelligence/AI) telah memberikan dampak signifikan pada berbagai bidang profesi, termasuk akuntansi. Penelitian ini bertujuan untuk mengeksplorasi pentingnya AI bagi dosen akuntansi dengan fokus pada peran AI dalam meningkatkan metode pengajaran dan kualitas pendidikan akuntansi dengan melakukan pengujian Penerimaan dan Penggunaan Kecerdasan Buatan (Artificial Intelligence) Open AI ChatGPT Bagi Dosen Akuntansi dengan menggunakan Model UTAUT2 (Unified Theory of Acceptance and Use of Technology) yaitu menguji pengaruh faktor ekspektansi kinerja, ekspektansi usaha, pengaruh sosial, kondisi-kondisi pemfasilitasi, pengalaman dan kebiasaan, nilai harga dan keamanan terhadap minat dosen akuntansi dalam menggunakan Kecerdasan Buatan (Artificial Intelligence) Open AI ChatGPT. Metode yang digunakan adalah penelitian kuantitatif dengan menggunakan Partial Least Square dan mengambil 100 sampel dosen akuntansi yang berada di Kabupaten/Kota Pekalongan. Hasil penelitian ini menunjukkan pengruh sosial, kebiasan pengalaman, dan keamanan informasi berpengaruh signifikan terhadap niat untuk menggukan open AI ChatGPT.   REFERENSI Alghafiqi, B., & Munajat, E. (2022). Impact of Artificial Intelligence Technology on Accounting Profession. Berkala Akuntansi Dan Keuangan Indonesia, 7(2), 140–159. https://doi.org/10.20473/baki.v7i2.27934. Alhwaiti, M. (2023). Acceptance of Artificial Intelligence Application in the Post-Covid Era and Its Impact on Faculty Members’ Occupational Well-being and Teaching Self Efficacy: A Path Analysis Using the UTAUT 2 Model. Applied Artificial Intelligence, 37(1). https://doi.org/10.1080/08839514.2023.2175110. Ainul Bashir, N. A. (2020). Penerapan Model UTAUT 2 Untuk Mengetahui Faktor-Faktor Yang Memengaruhi Penggunaan SIORTU. Elinvo (Electronics, Informatics, and Vocational Education), 5(1), 42–51. https://doi.org/10.21831/elinvo.v5i1.30636 Biloš, A., & Budimir, B. (2024). Understanding the Adoption Dynamics of ChatGPT among Generation Z: Insights from a Modified UTAUT2 Model. Journal of Theoretical and Applied Electronic Commerce Research, 19(2), 863–879. https://doi.org/10.3390/jtaer19020045 Juningsih, E. H., Aziz, F., Ismunandar, D., Sarasati, F., Irmawati, I., & Yanto, Y. (2020). Penggunaan Model UTAUT2 Untuk Memahami Persepsi Pengguna Aplikasi G-Meet. Indonesian Journal on Software Engineering (IJSE), 6(2), 289–295. https://doi.org/10.31294/ijse.v6i2.10075 Mahande, R. D., & Jasruddin. (2023). UTAUT Model: Suatu Pendekatan Evaluasi Penerimaan E-Learning pada Program Pascasarjana. Jurnal Iqtisaduna, 1(1), 1. https://doi.org/10.31227/osf.io/254j7 Martinez, B. M., & McAndrews, L. E. (2023). Do you take.? The effect of mobile payment solutions on use intention: an application of UTAUT2. Journal of Marketing Analytics, 11(3), 458–469. https://doi.org/10.1057/s41270-022-00175-6. Merentek, T. C., Usoh, E. J., & Lengkong, J. S. J. (2023). Implementasi Kecerdasan Buatan ChatGPT dalam Pembelajaran. Jurnal Pendidikan Tambusai, 7(3), 26862–26869. Tseng, T. H., Lin, S., Wang, Y. S., & Liu, H. X. (2022). Investigating teachers’ adoption of MOOCs: the perspective of UTAUT2. Interactive Learning Environments, 30(4), 635–650. https://doi.org/10.1080/10494820.2019.1674888. Triatmaja, M. F., Acc, M., ACPA, (2019). Seminar Nasional dan The 6th Call for Syariah Paper Universitas Muhammadiyah Surakarta Dampak Artificial Intellegence (AI) Pada Profesi Akuntan.  Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly: Management Information Systems, 36(1), 157–178. https://doi.org/10.2307/41410412.  
Co-Authors Triatmaja, Muhammad Fithrayudi