The Influence of Perceived Benefits and Ease of Use on Artificial Intelligence Adoption in Accounting

Authors

  • Ayi Astuti Universitas Langlangbuana
  • Tamy Ali Januarty Universitas Langlangbuana
  • Salma Rahmasari Universitas Langlangbuana

DOI:

https://doi.org/10.53697/emak.v7i2.3959

Keywords:

Perceived Benefits, Ease of Use, AI Adoption, Accounting, Technology Acceptance

Abstract

This study examines the influence of perceived benefits and perceived ease of use on the adoption of Artificial Intelligence (AI) in accounting practice in Indonesia. Using a quantitative approach with a causal design based on the Technology Acceptance Model (TAM) framework, this research involved 240 respondents, accounting practitioners who are members of the Indonesian Institute of Accountants (IAI), selected through random sampling techniques. Data was collected through questionnaires using a five-point Likert scale and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with Smart PLS software. The results indicate that perceived benefits have a positive and significant effect on AI adoption in accounting practice. Similarly, perceived ease of use also has a significant positive impact on AI adoption. These findings suggest that AI adoption is influenced by the perceived practical benefits and ease of use. Therefore, increasing AI adoption should focus on strengthening practical benefits and simplifying systems to meet the needs of accounting practitioners.

Downloads

Download data is not yet available.

References

Abdullah, N. A. H., & Ismail, N. A. (2019).Factors influencing accountants’ intention to adopt cloud computing: An application of the TOE framework. International Journal of Accounting and Finance Review, 4(2), 38–46.

Andrian, F., Kertahadi, & Susilo, H. (2014). Pengaruh perceived ease of use dan perceived usefulness terhadap minat penggunaan sistem informasi. Jurnal Administrasi Bisnis, 14(2), 1–9.

Bağırtan, R., & Yılmaz, S. (2020). Determinants of artificial intelligence adoption in accounting: Evidence from Turkey. Journal of Accounting and Finance, 20(3), 45-63.

Bou Reslan, F., & Jabbour Al Maalouf, N. (2024). Assessing the Transformative Impact of AI Adoption on Efficiency, Fraud Detection, and Skill Dynamics in Accounting Practices. Journal of Risk and Financial Management, 17(12), 577. https://doi.org/10.3390/jrfm17120577

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. doi:10.2307/249008.

Destiana, E. (2012). Pengaruh perceived usefulness, perceived ease of use, dan sikap terhadap minat penggunaan teknologi informasi. Jurnal Sistem Informasi, 8(2), 45–54.

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.101994.

Hanafi, M., Kertahadi, & Susilo, H. (2017). Pengaruh perceived ease of use dan perceived usefulness terhadap sikap penggunaan teknologi informasi. Jurnal Administrasi Bisnis, 50(3), 75–83.

Handayani, E., Adrianto, Z., & Ritchi, H. (2021). Examining user intention toward cloud-based accounting information system adoption. Journal of Accounting Auditing and Business, 4(2). https://doi.org/10.24198/jaab.v4i2.35102

Huang, F., & Vasarhelyi, M. A. (2019). Applying Robotic Process Automation (RPA) in auditing: A framework. International Journal of Accounting Information Systems, 35, Article 100433. https://doi.org/10.1016/j.accinf.2019.100433

Ibrahim, F. (2025). The technology acceptance model and adopter type analysis in the context of artificial intelligence. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2024.1496518

Ikatan Akuntan Indonesia. (2023). Laporan Transformasi Digital Profesi Akuntansi di Indonesia. Jakarta: IAI.

Iriani, S. S., Wardi, Y., & Hayani, N. (2017). Pengaruh perceived usefulness dan perceived ease of use terhadap sikap penggunaan teknologi informasi. Jurnal Manajemen dan Kewirausahaan, 19(2), 112–120.

Jones, M., & Lee, A. (2019). Factors influencing accountants’ intention to adopt artificial intelligence technologies. Journal of Accounting and Organizational Change, 15(4), 623–642. https://doi.org/10.1108/JAOC-12-2018-012

Muntianah, S., Astuti, E., & Azizah, D. (2016). Pengaruh perceived ease of use, perceived usefulness terhadap attitude toward using pada pengguna sistem informasi. Jurnal Administrasi Bisnis, 38(1), 55–62.

Pilli, O., Fanaeian, J., & Al‐Momani, M. (2018). Investigating the students’ acceptance of online learning using the Technology Acceptance Model (TAM). International Journal of Information and Learning Technology, 35(3), 1–13.

Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson Education.

Santoso, S. (2014). Pengaruh persepsi kemudahan dan kegunaan terhadap penggunaan teknologi informasi. Jurnal Teknologi Informasi dan Komunikasi, 6(1), 15–22.

Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). Wiley.

Siderska, J. (2021). The Adoption of Robotic Process Automation Technology to Ensure Business Processes during the COVID-19 Pandemic. Sustainability, 13(14), 8020. https://doi.org/10.3390/su13148020

Smith, J., Brown, T., & Wilson, R. (2020). Artificial intelligence and accounting efficiency: Evidence from professional practice. International Journal of Accounting Information Systems, 36, 100441. https://doi.org/10.1016/j.accinf.2020.100441

Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2017). Big data in accounting: An overview. Accounting Horizons, 31(2), 5-31. https://doi.org/10.2308/acch-51742

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, 36(1), 157-178.

Wang, Y., Liu, Y., & Liu, Q. (2021). Challenges and drivers of digital technology adoption in accounting firms: A study in China. Journal of Accounting & Organizational Change, 17(2), 289-308.

Downloads

Published

2026-02-27

How to Cite

Astuti, A., Januarty, T. A., & Rahmasari, S. (2026). The Influence of Perceived Benefits and Ease of Use on Artificial Intelligence Adoption in Accounting. Jurnal Ekonomi, Manajemen, Akuntansi Dan Keuangan, 7(2), 10. https://doi.org/10.53697/emak.v7i2.3959

Issue

Section

Articles

Similar Articles

<< < 8 9 10 11 12 13 14 > >> 

You may also start an advanced similarity search for this article.