Influence of Blockchain and Artificial Intelligence on Audit Quality: Evidence from Indonesia
DOI:
https://doi.org/10.59653/jbmed.v4i01.2173Keywords:
Blockchain, Artificial Intelligence, Audit QualityAbstract
The purpose of this study is to investigate the impact of blockchain technology and artificial intelligence (AI) on audit quality through the participation of auditors from Indonesian Public Accounting Firms (KAP). The conceptual framework for this study is based on Agency Theory and the Technology Acceptance Model (TAM), which describe how technological advancements might improve auditors' performance and accountability by eliminating knowledge asymmetry between agents and principals. Primary data from 207 respondents were gathered using a convenience sampling method. The study used a quantitative research design with a survey disseminated to auditors via structured questionnaires. The SmartPLS 4 software was used to perform data analysis utilizing the Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique. The findings show that blockchain technology improves audit quality by increasing transparency, correctness, and dependability of audit data via real-time and immutable transaction recording. Furthermore, artificial intelligence (AI) improves audit quality by supporting auditors in finding abnormalities, assessing risks, and expediting the audit process via automated data analysis.
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Abdullah, A. A. H., & Almaqtari, F. A. (2024). The impact of artificial intelligence and Industry 4.0 on transforming accounting and auditing practices. Journal of Open Innovation: Technology, Market, and Complexity, 10(1). https://doi.org/10.1016/j.joitmc.2024.100218
Akter, M., Kummer, T. F., & Yigitbasioglu, O. (2024). Looking beyond the hype: The challenges of blockchain adoption in accounting. International Journal of Accounting Information Systems, 53(February), 100681. https://doi.org/10.1016/j.accinf.2024.100681
Al-Ateeq, B., Sawan, N., Al-Hajaya, K., Altarawneh, M., & Al-Makhadmeh, A. (2022). Big Data Analytics in Auditing and the Consequences for Audit Quality: A Study Using the Technology Acceptance Model (TAM). Corporate Governance and Organizational Behavior Review, 6(1), 64–78. https://doi.org/10.22495/cgobrv6i1p5
Alkafaji, B. K. A., Dashtbayaz, M. L., & Salehi, M. (2023). The Impact of Blockchain on the Quality of Accounting Information: An Iraqi Case Study. Risks, 11(3). https://doi.org/10.3390/risks11030058
Al-Qatamin, K. I., & Salleh, Z. (2020). Audit Quality: A Literature Overview and Research Synthesis. Journal of Business and Management , 22(2), 56–66. https://doi.org/10.9790/487X-2202025666
Aprilia, Z. (2023). OJK Beri Sanksi Tegas Bagi Kantor Akuntan Publik Wanaartha. In www.cnbcindonesia.com. https://www.cnbcindonesia.com/market/20230307145228-17-419601/ojk-beri-sanksi-tegas-bagi-kantor-akuntan-publik-wanaartha
Arham, M. W. (2025). Transforming Auditing through AI and Blockchain: A Comprehensive Study on Adoption, Implementation, and Impact in Financial Audits. American Journal of Industrial and Business Management, 15(02), 225–241. https://doi.org/10.4236/ajibm.2025.152011
Deniswara, K., Jonathan, M., Mulyawan, A. N., & Santoso, I. (2022). Analysis on The Effectiveness of Augmented Artificial Intelligence Implementation in Preventing Fraudulent Financial Statement by Utilizing Beneish M-Score Model. Proceedings of the 2022 6th International Conference on E-Business and Internet. https://api.semanticscholar.org/CorpusID:257633014
Ghozali, I. (2021). Aplikasi Analisis Multivariate dengan Program IBM SPSS 26 (10th ed.). Badan Penerbit Universitas Diponegoro.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Springer. http://www.
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. https://doi.org/10.1016/j.accinf.2022.100598
Jensen, M. C., & Meckling, W. H. (1976). Theory of the Firm: Managerial Behavior, Agency Costs and Ownership Structure. In Journal of Financial Economics (Vol. 3). Q North-Holland Publishing Company.
Kamau, C. G., & Yavuzaslan, A. (2023). CryptoAudit: Nature, requirements and challenges of Blockchain transactions audit. African Journal of Commercial Studies, 3(2), 101–107. https://doi.org/10.59413/ajocs/v3.i2.3
Karmańska, A. (2022). Artificial Intelligence in audit. Prace Naukowe Uniwersytetu Ekonomicznego We Wrocławiu, 66(4), 87–99. https://doi.org/10.15611/pn.2022.4.06
Leocádio, D., Malheiro, L., & Reis, J. (2024). Artificial Intelligence in Auditing: A Conceptual Framework for Auditing Practices. Administrative Sciences, 14(10). https://doi.org/10.3390/admsci14100238
Meiryani, Sujanto, M., Lindawati, A., Zulkarnain, A., & Liawatimena, S. (2021). Auditor’s Perception on Technology Transformation: Blockchain and CAATs on Audit Quality in Indonesia. IJACSA) International Journal of Advanced Computer Science and Applications, 12(8). www.ijacsa.thesai.org
Nabila, L. A., Budiantoro, H., & Lapae, K. (2023). the Role of Audit Quality on the Determinants of Auditor Performance. Akurasi : Jurnal Studi Akuntansi Dan Keuangan, 6(1), 126–138. https://doi.org/10.29303/akurasi.v6i1.353
Noordin, N. A., Hussainey, K., & Hayek, A. F. (2022). The Use of Artificial Intelligence and Audit Quality: An Analysis from the Perspectives of External Auditors in the UAE. Journal of Risk and Financial Management, 15(8). https://doi.org/10.3390/jrfm15080339
Nugraha, G. C. H. (2024). Perception of Artificial Intelligence Adoption on Audit Quality. ABIS: Accounting and Business Information Systems, 12(1).
Okinaldi, J., & Aziza, N. (2024). Implementasi Teknologi Audit dalam Era Digital. Jurnal Ilmiah MEA (Manajemen, Ekonomi, Dan Akuntansi), 8(2), 146–159.
Qader, K. S., & Cek, K. (2024). Influence of blockchain and artificial intelligence on audit quality: Evidence from Turkey. Heliyon, 10(9), e30166. https://doi.org/10.1016/j.heliyon.2024.e30166
Romney, M. B., & Steinbart, P. J. (2019). Accounting Information Systems (13th ed.). Pearson.
Sugiyono. (2020). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. In Sutopo (Ed.), Metode Penelitian Kuantitatif, Kualitatif, dan R&D (2nd ed., pp. 16–17). Alfaberta.
Syahronny, M. R., & Dewayanto, T. (2024). Penerapan Teknologi Artificial Intelligence Dan Blockchain Dalam Mendeteksi Fraud Pada Proses Audit: Systematic Literature Review. Diponegoro Journal of Accounting, 13(3), 1–14. http://ejournal-s1.undip.ac.id/index.php/accounting
Wang, S., Shangguan, Y., & Men, R. (2023). Institutional Investors, ESG Performance, and Audit Quality. Icemme 2022, 95–101. https://doi.org/10.5220/0012026400003620
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