Artificial Intelligence and Audit Quality in the Banking Sector: Empirical Evidence From a Developing Economy
Résumé
Artificial intelligence is increasingly being adopted across financial institutions to enhance operational efficiency, strengthen risk management, and improve the quality of assurance services.However, empirical evidence regarding its influence on audit quality in developing economies remains limited.This study investigated the impact of artificial intelligence adoption on audit quality within the commercial banking sector of Zimbabwe.A quantitative research design was employed, and primary data were collected through structured questionnaires administered to auditors and managerial personnel working in commercial banks.The findings indicate that the integration of artificial intelligence technologies into audit processes is associated with significant improvements in audit quality.Specifically, the quality and reliability of audit evidence were reported to be enhanced, the likelihood of material misstatements was perceived to be reduced, and greater efficiency in audit execution and decision-making was achieved.Despite these benefits, several barriers to implementation were identified, including inadequate technological infrastructure, limited financial capacity for artificial intelligence investment, and shortages of personnel with specialized artificial intelligence-related competencies.Nevertheless, strong support for the adoption of artificial intelligence-based auditing practices was observed among respondents.The results suggest that artificial intelligence has considerable potential to enhance audit quality by improving the accuracy, consistency, and reliability of audit procedures and evidence evaluation.It is therefore recommended that commercial banks increase investment in artificial intelligence-enabled audit technologies.Furthermore, supportive regulatory frameworks, professional standards, and implementation guidelines should be established by policymakers and financial regulators to facilitate responsible artificial intelligence adoption, mitigate emerging risks, and promote consistency in audit practices across the banking sector.These findings contribute to the growing body of literature on artificial intelligence-driven auditing and provide practical insights for financial institutions operating in developing economies.
Citer ce document
Accès au document
Texte intégral en lecture en ligne, réservé aux abonnés SPHAERO et aux membres de l'institution. Se connecter
Voir l'article sur le site de la revueAuteur(s)
Statistiques
Consultations : 1
Téléchargements : 0