International Journal of Analysis and Applications | 2026
Authors: Thuy L.T.T.
DOI: 10.28924/2291-8639-24-2026-130
Journal: International Journal of Analysis and Applications
Year: 2026
Publisher: Etamaths Publishing
Document Type: Article
Open Access: All Open Access; Gold Open Access
Cited by: 0
This paper develops a structural analytical model to examine the relationships between technology-related capabilities and audit outcomes through an intermediate analytical mechanism. Within a quantitative structural analysis framework, the study investigates the effects of artificial intelligence adoption, data analytics capability, and auditor IT competence on fraud detection effectiveness, and examines the mediating role of fraud detection effectiveness in determining audit quality. The empirical model is estimated using survey data from 298 external auditors in Vietnam and analysed via Partial Least Squares–based structural equation modelling. The results show that artificial intelligence adoption, data analytics capability, and auditor IT competence have positive and statistically significant structural effects on fraud detection effectiveness, with artificial intelligence adoption exhibiting the largest standardized coefficient. In addition, fraud detection effectiveness exerts a strong positive effect on audit quality and fully mediates the relationships between technology-related capabilities and audit outcomes. The proposed structural framework provides an applied analytical interpretation of how technology-driven mechanisms influence audit performance and offers implications for the design of technology-enabled audit systems in emerging markets. © 2026 the author(s).
applied statistical analysis; mediation analysis; partial least squares modelling; quantitative modelling; structural analysis