Silent Revolution: Artificial Intelligence Innovation in Students’ Career Interest in Taxation
Abstract
The development of greater artificial intelligence innovation has silenced the accounting profession, including the field of taxation. This study aims to assess the impact of artificial intelligence on students' career interest in taxation using the diffusion of innovation theory. A quantitative approach with the Partial Least Square (PLS) model was applied with an analysis tool using the WarpPLS 7.0 application, then determining the sample based on purposive sampling techniques with a total of 79 student respondents. The results showed that artificial intelligence innovation, artificial intelligence communication channels, and artificial intelligence adoption decisions had a positive and significant effect on students' career interest in taxation. This study found that the role of artificial intelligence affects knowledge and understanding, motivation and assessment of the work environment by students in the field of taxation. The application of artificial intelligence in the lecture process is necessary to understand in real time the risks and opportunities in the utilization of artificial intelligence under the supervision of educators.
References
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Ahrari, S., Zaremohzzabieh, Z., & Abdullah, R. (2024). AI-Enhanced Youth Career Guidance by Mapping Future Employment Paths With Theory and Practical Application. In Exploring Youth Studies in the Age of AI (pp. 129–139). IGI Global.
Akhila, N., Bansal, A., Mohammed, N. Q., Al-Khuzaie, M. Y., Almulla, A. A., & Agarwal, S. (2024). An Automatic Instinctive Optimizing Technique for Tax Filing via AI-Driven based Compilation System. 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 973–977.
Alviani, V., Analisa, A., Yusri, Y., & Novianty, N. (2023). the Effect of Tax Knowledge on Willingness To Pay Taxes With Awareness of Paying Taxes As a Moderating Variable. Klabat Accounting Review, 4(2), 101. https://doi.org/10.60090/kar.v4i2.1001.101-116
Andani, G., Lindrianasari, L., Oktavia, R., & Septiyanti, R. (2022). Indonesian Accounting Students’ Self-Confidence To Adopt Artificial Intelligence (Ai). Jurnal Akuntansi Dan Keuangan Indonesia, 19(1), 24–45. https://doi.org/10.21002/jaki.2022.02
Ayanwale, M. A., & Ndlovu, M. (2024). Computers in Human Behavior Reports Investigating factors of students ’ behavioral intentions to adopt chatbot technologies in higher education : Perspective from expanded diffusion theory of innovation. Computers in Human Behavior Reports, 14(December 2023), 100396. https://doi.org/10.1016/j.chbr.2024.100396
Bakarich, K. M., & O’Brien, P. E. (2021). The robots are coming… but aren’t here yet: The use of artificial intelligence technologies in the public accounting profession. Journal of Emerging Technologies in Accounting, 18(1), 27–43.
Chandra, Y. R., & Dalam, W. W. W. (2020). Pemanfaatan Software Akuntansi pada Akuisisi Pengetahuan Akuntansi Mahasiswa. Journal of Applied Accounting and Taxation, 5(2), 192–200. https://doi.org/10.30871/jaat.v5i2.2130
Cohen, S., Manes Rossi, F., & Brusca, I. (2023). Debate: Public sector accounting education and artificial intelligence. Public Money & Management, 43(7), 725–726.
Cui, C. (2024). Career Interest Assessment: College Students Career Planning Based On Machine Leaning. Journal of Electrical Systems, 20(6s), 1633–1644.
Dzulhasni, S., Zakia, D., Puspitasari, E. Y., & Wijaya, L. R. P. (2024). Implikasi Etika pada Penggunaan Artificial Intelligence (AI) dalam Akuntansi Manajemen. Ambitek, 4(1), 136–143. https://doi.org/10.56870/ambitek.v4i1.136
Effendi, M. B. (2018). Analysis of Accounting Information Systems with Non-Linear SEM-PLS. Https://Www. Jatit. Org/, 96(22), 7628–7642.
Fülöp, M. T., Topor, D. I., Ionescu, C. A., & Cifuentes-faura, J. (2023). Ethical Concerns Associated with Artificial Intelligence in the Accounting Profession: A Curse or a Blessing? 24(2), 387–404.
Han, H., Shiwakoti, R. K., Jarvis, R., Mordi, C., & Botchie, D. (2023). Accounting and auditing with blockchain technology and artificial Intelligence: A literature review. International Journal of Accounting Information Systems, 48, 100598.
Jamel, L., Smirani, L. K., Boulahia, J. A., & Hadjouni, M. (2022). Heliyon Investigation of open educational resources adoption in higher education using Rogers ’ diffusion of innovation theory. Heliyon, 8(May), e09885. https://doi.org/10.1016/j.heliyon.2022.e09885
Kommunuri, J. (2022). Artificial intelligence and the changing landscape of accounting: a viewpoint. Pacific Accounting Review, 34(4), 585–594.
Kotb, A., Abdel-Kader, M., Allam, A., Halabi, H., & Franklin, E. (2019). Information technology in the British and Irish undergraduate accounting degrees. Accounting Education, 28(5), 445–464.
Kurniawan, E. C., Soeherman, B., & Sutedjo, S. (2023). Disrupsi Teknologi Dalam Kantor Jasa Akuntan: Sebuah Peringatan. Jurnal Akuntansi Multiparadigma, 14(1), 50–74. https://doi.org/10.21776/ub.jamal.2023.14.1.04
Le Guyader, L. P. (2020). Artificial intelligence in accounting: GAAP’s “FAS133.” Journal of Corporate Accounting & Finance, 31(3), 185–189.
Li, C., & Zhao, X. (2022). Research on the Influence of Artificial Intelligence Technology with web 3.0 on Accounting Education and Its Countermeasures. ACM Transactions on Asian and Low-Resource Language Information Processing, 21(6), 1–17.
Mansor, N. A., Hamid, Y., Anwar, I. S. K., Isa, N. S. M., & Abdullah, M. Q. (2022). The awareness and knowledge on artificial intelligence among accountancy students. Int. J. Acad. Res. Bus. Soc. Sci, 12, 1629–1640.
Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., Tondeur, J., De Laat, M., Shum, S. B., & Gašević, D. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? Computers and Education: Artificial Intelligence, 3, 100056.
Mellado-silva, R., Faúndez-ugalde, A., & Blanco-lobos, M. (2020). Effective Learning of Tax Regulations using Different Chatbot Techniques. 5(6), 439–446.
Michelle, T., & Kristianto, J. (2023). Sifat Kepribadian Narsistik, Ketidakjujuran Akademik, dan Persepsi Ketidakjujuran Profesional Mahasiswa Akuntansi. Jurnal Akuntansi Bisnis, 21(1), 67–75.
Miller, R. L. (2015). Rogers’ innovation diffusion theory (1962, 1995). In Information seeking behavior and technology adoption: Theories and trends (pp. 261–274). IGI Global.
Mohamed Saad, A. M. A. (2024). Adapting accountants to the AI revolution: university strategies for skill enhancement, job security and competence in accounting. Higher Education, Skills and Work-Based Learning.
Mohammad, A. A. (2016). Changing role of accounting and its systems: a new vision of accounting as knowledge processing systems. International Journal of Managerial and Financial Accounting, 8(1), 23–38.
Monteiro, A., & Cepêda, C. (2021). Accounting information systems: scientific production and trends in research. Systems, 9(3), 67.
Munoko, I., Brown-Liburd, H. L., & Vasarhelyi, M. (2020). The ethical implications of using artificial intelligence in auditing. Journal of Business Ethics, 167(2), 209–234.
Murphy, F., & Miller, S. (2019). Nonparametric analysis in accounting research. University of Connecticut School of Business Research Paper.
Mushtaq, R., Gull, A. A., Shahab, Y., & Derouiche, I. (2022). Do financial performance indicators predict 10-K text sentiments? An application of artificial intelligence. Research in International Business and Finance, 61, 101679.
Ng, C. (2023). Teaching advanced data analytics, robotic process automation, and artificial intelligence in a graduate accounting program. Journal of Emerging Technologies in Accounting, 20(1), 223–243.
Nouraldeen, R. M. (2023). The impact of technology readiness and use perceptions on students’ adoption of artificial intelligence: the moderating role of gender. Development and Learning in Organizations: An International Journal, 37(3), 7–10.
Perdana, A., Lee, W. E., & Kim, C. M. (2023). Prototyping and implementing Robotic Process Automation in accounting firms: Benefits, challenges and opportunities to audit automation. International Journal of Accounting Information Systems, 51, 100641.
Pratama, B. B., Eltivia, N., & Ekasari, K. (2021). Revolusi Akuntan 4.0. Jurnal Akuntansi Multiparadigma, 12(3), 547–564.
Priyanto, P., & Suhandi, N. P. M. (2022). Robotic Process Automation in Accounting Curriculum and Profession. Jurnal Akuntansi Multiparadigma, 13(3), 576–591. https://doi.org/10.21776/ub.jamal.2022.13.3.42
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2014). Diffusion of innovations. In An integrated approach to communication theory and research (pp. 432–448). Routledge.
Rustam, A. R., Basuki, B., & Narsa, I. M. (2022). Siapkah Auditor Menghadapi Era Digitalisasi 4.0? Jurnal Akuntansi Multiparadigma, 13(3), 518–532.
Saleem, I., Abdeljawad, I., & Nour, A. I. (2023). Artificial Intelligence and the Future of Accounting Profession: Implications and Challenges. In Artificial Intelligence, Internet of Things, and Society 5.0 (pp. 327–336). Springer.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Handbook of market research (pp. 587–632). Springer.
Satyawan, D., Nyoman, N., Triani, A., & Yanthi, M. D. (2021). Akselerasi Peran Teknologi dalam Audit saat Covid-19. 12(1), 186–206.
Septia, N., Anggraini, R., Kurniawan, D., & Hasanah, A. (2024). Ease of Use , Usefulness , Quality of Information Systems and Culture on the Behavioral Intention of Users of Digital Tax Education Services. 9(2), 196–204.
Setiawati, I., Hadiprajitno, P. T. B., & Ardiansah, M. N. (2021). Perspektif Model TAM Dalam Adaptasi Pembelajaran Akuntansi Melalui E-Learning Selama Pandemi COVID-19. Jurnal Akuntansi Bisnis, 19(1), 36. https://doi.org/10.24167/jab.v19i1.3471
Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021). How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops. Journal of Business Research, 134(June 2020), 574–587. https://doi.org/10.1016/j.jbusres.2021.05.009
Slimi, Z., & Carballido, B. V. (2023). Systematic Review: AI’s Impact on Higher Education - Learning, Teaching, and Career Opportunities. TEM Journal, 12(3), 1627–1637. https://doi.org/10.18421/TEM123-44
Sudaryanto, M. R., Hendrawan, M. A., & Andrian, T. (2023). The Effect of Technology Readiness, Digital Competence, Perceived Usefulness, and Ease of Use on Accounting Students Artificial Intelligence Technology Adoption. E3S Web of Conferences, 388, 4055.
Suryani, A., & Machmuddah, Z. (2018). Aspek-Aspek Pertimbangan dalam Berkarir Sebagai Akuntan Publik. Jurnal Akuntansi Bisnis, 16(2), 235. https://doi.org/10.24167/jab.v16i2.1494
Syafa, I., & Dewayanto, T. (2024). Tracing the Evolution of Blockchain in Accounting : A Bibliometric Analysis. 9(2), 117–125.
Tempomona, I. A. O., Yusuf, R. M., & Paranoan, S. (2023). Urgensi Artificial Intelligence Dalam Transformasi Akuntan(Si). Jurnal Akuntansi Multiparadigma, 14(3), 536–551. https://doi.org/10.21776/ub.jamal.2023.14.3.37
Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success. Applied Sciences (Switzerland), 13(11). https://doi.org/10.3390/app13116716
Yusuf, R. M., & Paranoan, S. (2024). Cubizpay: Information System In Credit Union. International Journal of Accounting and Management Research, 5(1), 1–13. https://doi.org/10.30741/ijamr.v5i1.1239
Zhang, X., & Zhang, L. (2022). Artificial intelligence of cultivating the communication ability of college students majoring in accounting in the context of the Internet. E3S Web of Conferences, 360, 1060.
Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, H. (2020). The impact of artificial intelligence and blockchain on the accounting profession. Ieee Access, 8, 110461–110477.
Acikgoz, F., Elwalda, A., Jose, M., & Oliveira, D. (2023). International Journal of Information Management Data Insights Curiosity on Cutting-Edge Technology via Theory of Planned Behavior and Diffusion of Innovation Theory. 3(June 2022). https://doi.org/10.1016/j.jjimei.2022.100152
Ahmad, A. Y. A. B. (2024). The Changing Role of Accountants in the AI Era: Evolving Skill Sets and Career Pathways. 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), 1, 1–5.
Ahrari, S., Zaremohzzabieh, Z., & Abdullah, R. (2024). AI-Enhanced Youth Career Guidance by Mapping Future Employment Paths With Theory and Practical Application. In Exploring Youth Studies in the Age of AI (pp. 129–139). IGI Global.
Akhila, N., Bansal, A., Mohammed, N. Q., Al-Khuzaie, M. Y., Almulla, A. A., & Agarwal, S. (2024). An Automatic Instinctive Optimizing Technique for Tax Filing via AI-Driven based Compilation System. 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 973–977.
Alviani, V., Analisa, A., Yusri, Y., & Novianty, N. (2023). the Effect of Tax Knowledge on Willingness To Pay Taxes With Awareness of Paying Taxes As a Moderating Variable. Klabat Accounting Review, 4(2), 101. https://doi.org/10.60090/kar.v4i2.1001.101-116
Andani, G., Lindrianasari, L., Oktavia, R., & Septiyanti, R. (2022). Indonesian Accounting Students’ Self-Confidence To Adopt Artificial Intelligence (Ai). Jurnal Akuntansi Dan Keuangan Indonesia, 19(1), 24–45. https://doi.org/10.21002/jaki.2022.02
Ayanwale, M. A., & Ndlovu, M. (2024). Computers in Human Behavior Reports Investigating factors of students ’ behavioral intentions to adopt chatbot technologies in higher education : Perspective from expanded diffusion theory of innovation. Computers in Human Behavior Reports, 14(December 2023), 100396. https://doi.org/10.1016/j.chbr.2024.100396
Bakarich, K. M., & O’Brien, P. E. (2021). The robots are coming… but aren’t here yet: The use of artificial intelligence technologies in the public accounting profession. Journal of Emerging Technologies in Accounting, 18(1), 27–43.
Chandra, Y. R., & Dalam, W. W. W. (2020). Pemanfaatan Software Akuntansi pada Akuisisi Pengetahuan Akuntansi Mahasiswa. Journal of Applied Accounting and Taxation, 5(2), 192–200. https://doi.org/10.30871/jaat.v5i2.2130
Cohen, S., Manes Rossi, F., & Brusca, I. (2023). Debate: Public sector accounting education and artificial intelligence. Public Money & Management, 43(7), 725–726.
Cui, C. (2024). Career Interest Assessment: College Students Career Planning Based On Machine Leaning. Journal of Electrical Systems, 20(6s), 1633–1644.
Dzulhasni, S., Zakia, D., Puspitasari, E. Y., & Wijaya, L. R. P. (2024). Implikasi Etika pada Penggunaan Artificial Intelligence (AI) dalam Akuntansi Manajemen. Ambitek, 4(1), 136–143. https://doi.org/10.56870/ambitek.v4i1.136
Effendi, M. B. (2018). Analysis of Accounting Information Systems with Non-Linear SEM-PLS. Https://Www. Jatit. Org/, 96(22), 7628–7642.
Fülöp, M. T., Topor, D. I., Ionescu, C. A., & Cifuentes-faura, J. (2023). Ethical Concerns Associated with Artificial Intelligence in the Accounting Profession: A Curse or a Blessing? 24(2), 387–404.
Han, H., Shiwakoti, R. K., Jarvis, R., Mordi, C., & Botchie, D. (2023). Accounting and auditing with blockchain technology and artificial Intelligence: A literature review. International Journal of Accounting Information Systems, 48, 100598.
Jamel, L., Smirani, L. K., Boulahia, J. A., & Hadjouni, M. (2022). Heliyon Investigation of open educational resources adoption in higher education using Rogers ’ diffusion of innovation theory. Heliyon, 8(May), e09885. https://doi.org/10.1016/j.heliyon.2022.e09885
Kommunuri, J. (2022). Artificial intelligence and the changing landscape of accounting: a viewpoint. Pacific Accounting Review, 34(4), 585–594.
Kotb, A., Abdel-Kader, M., Allam, A., Halabi, H., & Franklin, E. (2019). Information technology in the British and Irish undergraduate accounting degrees. Accounting Education, 28(5), 445–464.
Kurniawan, E. C., Soeherman, B., & Sutedjo, S. (2023). Disrupsi Teknologi Dalam Kantor Jasa Akuntan: Sebuah Peringatan. Jurnal Akuntansi Multiparadigma, 14(1), 50–74. https://doi.org/10.21776/ub.jamal.2023.14.1.04
Le Guyader, L. P. (2020). Artificial intelligence in accounting: GAAP’s “FAS133.” Journal of Corporate Accounting & Finance, 31(3), 185–189.
Li, C., & Zhao, X. (2022). Research on the Influence of Artificial Intelligence Technology with web 3.0 on Accounting Education and Its Countermeasures. ACM Transactions on Asian and Low-Resource Language Information Processing, 21(6), 1–17.
Mansor, N. A., Hamid, Y., Anwar, I. S. K., Isa, N. S. M., & Abdullah, M. Q. (2022). The awareness and knowledge on artificial intelligence among accountancy students. Int. J. Acad. Res. Bus. Soc. Sci, 12, 1629–1640.
Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., Tondeur, J., De Laat, M., Shum, S. B., & Gašević, D. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? Computers and Education: Artificial Intelligence, 3, 100056.
Mellado-silva, R., Faúndez-ugalde, A., & Blanco-lobos, M. (2020). Effective Learning of Tax Regulations using Different Chatbot Techniques. 5(6), 439–446.
Michelle, T., & Kristianto, J. (2023). Sifat Kepribadian Narsistik, Ketidakjujuran Akademik, dan Persepsi Ketidakjujuran Profesional Mahasiswa Akuntansi. Jurnal Akuntansi Bisnis, 21(1), 67–75.
Miller, R. L. (2015). Rogers’ innovation diffusion theory (1962, 1995). In Information seeking behavior and technology adoption: Theories and trends (pp. 261–274). IGI Global.
Mohamed Saad, A. M. A. (2024). Adapting accountants to the AI revolution: university strategies for skill enhancement, job security and competence in accounting. Higher Education, Skills and Work-Based Learning.
Mohammad, A. A. (2016). Changing role of accounting and its systems: a new vision of accounting as knowledge processing systems. International Journal of Managerial and Financial Accounting, 8(1), 23–38.
Monteiro, A., & Cepêda, C. (2021). Accounting information systems: scientific production and trends in research. Systems, 9(3), 67.
Munoko, I., Brown-Liburd, H. L., & Vasarhelyi, M. (2020). The ethical implications of using artificial intelligence in auditing. Journal of Business Ethics, 167(2), 209–234.
Murphy, F., & Miller, S. (2019). Nonparametric analysis in accounting research. University of Connecticut School of Business Research Paper.
Mushtaq, R., Gull, A. A., Shahab, Y., & Derouiche, I. (2022). Do financial performance indicators predict 10-K text sentiments? An application of artificial intelligence. Research in International Business and Finance, 61, 101679.
Ng, C. (2023). Teaching advanced data analytics, robotic process automation, and artificial intelligence in a graduate accounting program. Journal of Emerging Technologies in Accounting, 20(1), 223–243.
Nouraldeen, R. M. (2023). The impact of technology readiness and use perceptions on students’ adoption of artificial intelligence: the moderating role of gender. Development and Learning in Organizations: An International Journal, 37(3), 7–10.
Perdana, A., Lee, W. E., & Kim, C. M. (2023). Prototyping and implementing Robotic Process Automation in accounting firms: Benefits, challenges and opportunities to audit automation. International Journal of Accounting Information Systems, 51, 100641.
Pratama, B. B., Eltivia, N., & Ekasari, K. (2021). Revolusi Akuntan 4.0. Jurnal Akuntansi Multiparadigma, 12(3), 547–564.
Priyanto, P., & Suhandi, N. P. M. (2022). Robotic Process Automation in Accounting Curriculum and Profession. Jurnal Akuntansi Multiparadigma, 13(3), 576–591. https://doi.org/10.21776/ub.jamal.2022.13.3.42
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2014). Diffusion of innovations. In An integrated approach to communication theory and research (pp. 432–448). Routledge.
Rustam, A. R., Basuki, B., & Narsa, I. M. (2022). Siapkah Auditor Menghadapi Era Digitalisasi 4.0? Jurnal Akuntansi Multiparadigma, 13(3), 518–532.
Saleem, I., Abdeljawad, I., & Nour, A. I. (2023). Artificial Intelligence and the Future of Accounting Profession: Implications and Challenges. In Artificial Intelligence, Internet of Things, and Society 5.0 (pp. 327–336). Springer.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Handbook of market research (pp. 587–632). Springer.
Satyawan, D., Nyoman, N., Triani, A., & Yanthi, M. D. (2021). Akselerasi Peran Teknologi dalam Audit saat Covid-19. 12(1), 186–206.
Septia, N., Anggraini, R., Kurniawan, D., & Hasanah, A. (2024). Ease of Use , Usefulness , Quality of Information Systems and Culture on the Behavioral Intention of Users of Digital Tax Education Services. 9(2), 196–204.
Setiawati, I., Hadiprajitno, P. T. B., & Ardiansah, M. N. (2021). Perspektif Model TAM Dalam Adaptasi Pembelajaran Akuntansi Melalui E-Learning Selama Pandemi COVID-19. Jurnal Akuntansi Bisnis, 19(1), 36. https://doi.org/10.24167/jab.v19i1.3471
Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021). How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops. Journal of Business Research, 134(June 2020), 574–587. https://doi.org/10.1016/j.jbusres.2021.05.009
Slimi, Z., & Carballido, B. V. (2023). Systematic Review: AI’s Impact on Higher Education - Learning, Teaching, and Career Opportunities. TEM Journal, 12(3), 1627–1637. https://doi.org/10.18421/TEM123-44
Sudaryanto, M. R., Hendrawan, M. A., & Andrian, T. (2023). The Effect of Technology Readiness, Digital Competence, Perceived Usefulness, and Ease of Use on Accounting Students Artificial Intelligence Technology Adoption. E3S Web of Conferences, 388, 4055.
Suryani, A., & Machmuddah, Z. (2018). Aspek-Aspek Pertimbangan dalam Berkarir Sebagai Akuntan Publik. Jurnal Akuntansi Bisnis, 16(2), 235. https://doi.org/10.24167/jab.v16i2.1494
Syafa, I., & Dewayanto, T. (2024). Tracing the Evolution of Blockchain in Accounting : A Bibliometric Analysis. 9(2), 117–125.
Tempomona, I. A. O., Yusuf, R. M., & Paranoan, S. (2023). Urgensi Artificial Intelligence Dalam Transformasi Akuntan(Si). Jurnal Akuntansi Multiparadigma, 14(3), 536–551. https://doi.org/10.21776/ub.jamal.2023.14.3.37
Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success. Applied Sciences (Switzerland), 13(11). https://doi.org/10.3390/app13116716
Yusuf, R. M., & Paranoan, S. (2024). Cubizpay: Information System In Credit Union. International Journal of Accounting and Management Research, 5(1), 1–13. https://doi.org/10.30741/ijamr.v5i1.1239
Zhang, X., & Zhang, L. (2022). Artificial intelligence of cultivating the communication ability of college students majoring in accounting in the context of the Internet. E3S Web of Conferences, 360, 1060.
Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, H. (2020). The impact of artificial intelligence and blockchain on the accounting profession. Ieee Access, 8, 110461–110477.
Published
2025-02-28
How to Cite
BAWIAS, Hizkia Hazael Bezaliel; YUSUF, Rolland M; PARANOAN, Selmita.
Silent Revolution: Artificial Intelligence Innovation in Students’ Career Interest in Taxation.
Klabat Accounting Review, [S.l.], v. 6, n. 1, p. 13-23, feb. 2025.
ISSN 2722-7278.
Available at: <https://ejournal.unklab.ac.id/index.php/kar/article/view/1247>. Date accessed: 19 may 2025.
doi: https://doi.org/10.60090/kar.v6i1.1247.13-23.
Section
Articles
This work is licensed under a Creative Commons Attribution 4.0 International License.
