Alaa Khzam
Papers
1
Total Citations
17
H-Index
1
About
Dr. Alaa Khzam is a researcher at the forefront of applying Robotic Process Automation (RPA) to the field of auditing and financial information systems. Their most cited work, "Robotic Process Automation for the Extraction of Audit Information: A Use Case" (2021, 17 citations), addresses a critical bottleneck in modern audit practice: the labor-intensive extraction of data from Portable Document Format (PDF) files. By demonstrating how RPA can automate the reconciliation of audit evidence with subject matter, Dr. Khzam’s research directly tackles the recurring, error-prone tasks that consume auditor hours. This contribution is particularly impactful for practitioners seeking to enhance efficiency and accuracy in compliance and assurance workflows. While their citation count reflects a focused, emerging body of work, the practical relevance of their findings signals a promising trajectory in the intersection of automation technology and professional services. Dr. Khzam’s work stands as a valuable resource for students and researchers exploring the digital transformation of auditing.
Research Focus
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Top Papers
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