Mediating Effect of Trust on Adoption of Artificial Intelligence in Accounting Practices: An Empirical Evidence from Iraq

Abstract

This study explores the mediating role of trust in the adoption of Artificial Intelligence (AI) within accounting practices in Iraq. A mediation and path analysis approach was adopted, utilizing SMART PLS for data analysis. Convenience sampling and the snowball technique were used in the study, yielding a final sample size of 120 participants. The findings show that implementing AI improves accounting operations' efficacy. AI tools improve operational accuracy, efficiency, and well-informed decision-making, which improves the caliber of audits and financial reporting. Theoretical knowledge on the application of AI in accounting is advanced by this study, especially in light of a developing nation like Iraq. The findings are applicable to academics, policymakers, auditors, and accounting professionals. By integrating AI, businesses may use these insights to optimize their accounting and auditing operations. The results may also help regulatory agencies develop regulations that encourage and facilitate the use of AI in the accounting industry. Overall, by offering actual data on the benefits of AI in accounting in emerging nations, the study contributes to the body of knowledge.