Mixed-methods Delphi study reveals key technological and security drivers of electronic auditing in emerging governance systems, highlighting the central role of machine learning and cybersecurity.
The rapid digitalization of public administration has transformed auditing environments, especially in emerging economies expanding their electronic governance (e-governance) frameworks. This study identifies and prioritizes the key drivers influencing electronic auditing (e-auditing) development in Iraq over the next decade. Using a mixed-methods design, the research first identifies potential drivers through qualitative interviews and open-ended questionnaires. These drivers were then evaluated and prioritized via a two-round Delphi survey involving a purposive panel of 20 experts, including senior auditors, accounting academics, and IT-audit specialists with over 15 years of professional experience. The analysis identified 19 significant drivers categorized into four clusters: (1) emerging audit technologies, (2) information security and data quality, (3) e-governance and transparency, and (4) professional capabilities. Results highlight that technological innovations, specifically real-time monitoring and machine learning, are the most influential drivers. Furthermore, cybersecurity and transparent governance mechanisms are identified as essential pillars for digital auditing in the Iraqi context. By providing a foresight perspective in a post-conflict, emerging economy, this study offers a unique conceptual framework that integrates e-governance maturity with auditing evolution. The findings provide actionable insights for policymakers and regulatory bodies to modernize auditing practices in high-uncertainty environments.
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Dakheel et al. (2026) studied this question.
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