PERAN BIG DATA DAN SKEPTISISME PROFESIONAL DALAM PENGUMPULAN BUKTI AUDIT
DOI:
https://doi.org/10.32897/jsikap.v8i2.3174Keywords:
big data, professional scepticism, audit evidenceAbstract
This study was created with the aim of exploring the relationship and relevance between big data, professional skepticism, and audit evidence. With the growing relevance of big data in the world of auditing, the researcher felt the need to observe how big data brings changes in the process of collecting audit evidence, along with the relevance of professional skepticism, which is one of the foundations and essential traits for an auditor, and its relation to the relationship between big data and audit evidence. This research is conducted entirely through literature study and rational argumentation, where the literature used consists of 9 literatures, which consist of books, national and international journals, as well as articles taken from the internet. From this research, it was found that both big data and professional skepticism have significant links to both audit evidence, and to each other
References
Alawsi, S. N. A., Etemadi, H., Rezazadeh, J. (2023). Investigating the Influencing Factors on Trust and Professional Skepticism in the Relationship Between the Auditor and the Client Firms’ Managers. Heritage and Sustainable Development, 5(1), 135-150.
Florea, R., Florea, R. (2011). Audit Techniques and Audit Evidence. Economy Transdisciplinarity Cognition, XIV(1), 350-358.
IAASB. (2019). Professional Skepticism Lies at the Heart of a Quality Audit. Ps Focus. (Online), (https://www.ifac.org/_flysystem/azure-private/publications/files/IAASB-Professional-Skepticism-Focus-Feb-2019.pdf), diakses 9 Desember 2023
Imoniana, J. O., Filho, D. C. N. (2023). Impact of Technological Advancements on Auditing of Financial Statements. European Research Studies Journal, XXVI(4), 131-159.
Mautz, R. K., Sharaf, H. A. (1993). The Philosophy of Accounting. Florida: Alerican Accounting Association.
Novita, N., Anissa, A. I. N. A. (2022). The Role of Data Analytics for Detecting Indications of Fraud in the Public Sector. International Journal of Research in Business and Social Science, 11(7), 218-225.
Sanoran, K. L., Ruangprapun, J. (2023). Initial Implementation of Data Analytics and Audit Process Management. Sustainability 2023, 15(1766), 1-14.
Sari, R., Andrian, S. (2023). The Influence of Professional Skepticism, Auditor’s Experiences, and Competency on Fraud Detection. International Journal of Research in Business and Social Science, 12(3), 384-390.
Syahputra, B. E., Afnan, A. (2020). Pendeteksian Fraud: Peran Big data dan Audit Forensik. JURNAL ASET (AKUNTANSI RISET), 12(2), 301-316.
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