Purpose: This research examines how internal auditors’ soft and hard skills may influence the adoption of the subset of Artificial Inelegance (AI) (data mining and data analytics). Design/methodology: The Common Body of Knowledge of the Internal Auditing Database used. Data consists of responses from Chief Audit Executives in the CBOK of the Institute of Internal Auditors Research Foundation (IIA, 2015). Findings: The research results indicate the most important set of internal auditors’ skills in the adoption of the AI subset, considering communication and critical thinking skills as the soft skills subset and risk management assurance and accounting skills as the hard skills subset. Originality/value: The findings of this research document the required skills of internal auditors to drive the adoption of a subset of AI that benefits both industry and research
Ghanem, Mohamed Gaber. (2024). Influence of Internal Auditor Soft and Hard Skills on the Adoption of Artificial Intelligence Subsets. مجلة البحوث المحاسبية, 11(2), 44-90. doi: 10.21608/abj.2024.362280
MLA
Mohamed Gaber Ghanem. "Influence of Internal Auditor Soft and Hard Skills on the Adoption of Artificial Intelligence Subsets", مجلة البحوث المحاسبية, 11, 2, 2024, 44-90. doi: 10.21608/abj.2024.362280
HARVARD
Ghanem, Mohamed Gaber. (2024). 'Influence of Internal Auditor Soft and Hard Skills on the Adoption of Artificial Intelligence Subsets', مجلة البحوث المحاسبية, 11(2), pp. 44-90. doi: 10.21608/abj.2024.362280
VANCOUVER
Ghanem, Mohamed Gaber. Influence of Internal Auditor Soft and Hard Skills on the Adoption of Artificial Intelligence Subsets. مجلة البحوث المحاسبية, 2024; 11(2): 44-90. doi: 10.21608/abj.2024.362280