Aqilla Nur Efsari
Department of Accounting, Universitas Muhammadiyah Yogyakarta, Indonesia

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Big Data Analytics-Based Audit System Quality And Public Sector Audit Performance: Audit Judgment As Mediator Hafiez Sofyani; Wildan Mujibur Rohman; Kanza Della Oktavia; Aqilla Nur Efsari
Jurnal Reviu Akuntansi dan Keuangan Vol. 15 No. 1 (2025): Jurnal Reviu Akuntansi dan Keuangan
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jrak.v15i1.36375

Abstract

Purpose: This study examines some hypotheses about the impact of quality of Big Data Analytics (BDA)-based audit system on audit performance in the public sector, focusing on the mediating role of audit judgment. Methodology/approach: A quantitative method was employed, using primary data from a survey of 137 government auditors across Indonesia. Data were analyzed using Structural Equation Modeling based on Partial Least Squares (SEM-PLS). Findings: The results show that audit judgment mediates the relationship between the BDA-based audit system's quality and public sector audit performance. Practical implications: The findings emphasize the need for effective audit judgment to optimize audit technology's role in enhancing the audit performance of government auditors. Originality/value: This study fills the research gap regarding the inconsistent results on adopting audit technologies and performance, specifically in the public sector.