Big Data Analytics-Based Audit System Quality And Public Sector Audit Performance: Audit Judgment As Mediator
DOI:
https://doi.org/10.22219/jrak.v15i1.36375Keywords:
Audit Judgment, Audit Performance, Big Data Analytics, Public SectorAbstract
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.
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