Determinan Penerimaan Aplikasi Atlas (Audit Tools And Linked Archive System) (Studi Pada Kap Bali)
Abstract
The purpose of this study is to empirically examine the effect of perceived usefulness on the attitude of auditors in using ATLAS, to empirically examine the effect of perceived usefulness on auditors' interest in using ATLAS, to empirically examine the effect of perceived ease of use on the attitude of auditors in using ATLAS, to empirically examine the effect of an auditor's attitude on the auditor's interest in using ATLAS, to empirically examine the effect of subjective norms on the auditor's interest in using ATLAS, to empirically examine the effect of perceived behavioral control on the auditor's interest in using ATLAS. This research is included in associative research with data analysis techniques in this study using Partial Least Square (PLS). The results showed that the perceived usefulness variable had an effect on attitude, the perceived usefulness variable had an effect on interest, the perceived ease variable had an effect on attitude, the attitude variable had an effect on interest, the subjective norm variable had an effect on interest, the perceived behavioral control variable had an effect on interest, the interest variable was influenced by perceived usefulness with attitude as mediation.
References
Aboelmaged, Mohamed, and Tarek R. Gebba. 2013. “Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior.” International Journal of Business Research and Development 2(1):35–50. doi: 10.24102/ijbrd.v2i1.263.
Akashi, Tatsuya, and Bambang. 2016. “Analisi Faktor-Faktor Penerimaan Aplikasi Sistem Audit Tool and Linked Archive System (ATLAS) (Studi Empiris Pada Kantor Akuntan Publik Di Jawa Timur).” Jurnal Ilmiah Mahasiswa Fakultas Ekonomi Dan Bisnis 8(2):1–13.
Ari, D. P. S. 2013. “Pengaruh Technology Acceptance Model Dan Pengembangannya Dalam Perilaku Menggunakan Core Banking System.” Jurnal Keuangan Dan Perbankan 2(2):267–78.
Asmarani, Ratna. 2012. “Faktor-Faktor Yang Mempengaruhi Minat Perilaku Dalam Menggunakan Internet Banking.” Jurnal Ilmiah Mahasiswa Fakultas Ekonomi Dan Bisnis Universitas Brawijaya 1(2).
Chen, Yi Cheng, Yi Chien Lin, Ron Chuen Yeh, and Shi Jer Lou. 2013. “Examining Factors Affecting College Students’ Intention to Use Web-Based Instruction Systems: Towards an Integrated Model.” Turkish Online Journal of Educational Technology 12(2):111–21.
Hartono, J. 2007. Sistem Informasi Keperilakuan. Yogyakarta: CV Andi Offset.
Jafarkarimi, Hosein, Robab Saadatdoost, Alex Tze Hiang Sim, and Jee Mei Hee. 2016. “Behavioral Intention in Social Networking Sites Ethical Dilemmas: An Extended Model Based on Theory of Planned Behavior.” Computers in Human Behavior 62:545–61. doi: 10.1016/j.chb.2016.04.024.
Krismonanda, Caesar, Shinta Widyastuti, and Ranti Nugraheni. 2021. “Analisis Penerapan Audit Tools and Linked Archives System (ATLAS) Terhadap Proses Audit Laporan Keuangan (Studi Kasus Pada Kantor Akuntan Publik Wisnu Dan Katili).” Jurnal Penelitian Ekonomi Dan Akuntansi 6(3):241–54. doi: 10.30736/jpensi.v6i3.794.
Nasri, W., and L. Charfeddine. 2012. “Factors Affecting the Adoption of Internet Banking in Tunisia: An Integration Theory of Acceptance Model and Theory of Planned Behavior.” The Journal of High Technology Management Research 23(1):1–14.
Praktiyasa, IGAMW, and Ni Luh Sari Widhiyani. 2016. “Pengaruh Teknik Audit Berbantuan Komputer, Pelatihan Profesional, Dan Etika Profesi Terhadap Kinerja Auditor.” E-Jurnal Akuntansi Universitas Udayana Akuntansi 16(2):1238–63.
Sari, Ni Putu Eviana Kartika. 2019. “Determinan Minat Auditor Dalam Menggunakan Teknik Audit Berbantuan Komputer (TABK): Modifikasi Technology Acceptance Model (TAM) Dan Theory Of Planned Behavior.”
Sugiyono. 2018. Metode Penelitian Bisnis: Pendekatan Kuantitatif, Kualitatif, Kombinasi Dan R&D. Bandung: CV. Alfabeta.
Shihab, Muhammad Rifki, Nina Meilatinova, Achmad Nizar Hidayanto, and Herkules. 2017. “Determinants of CAATT Acceptance: Insights from Public Accounting Firms in Indonesia.” Procedia Computer Science 124:522–29. doi: 10.1016/j.procs.2017.12.185.
