Musaib Ashraf

Papers

Total Citations

H-Index

About

Musaib Ashraf is an emerging scholar whose research lies at the intersection of accounting, financial reporting, and technological innovation. His work critically examines how automation—particularly robotic process automation and artificial intelligence—transforms corporate financial reporting and internal control systems. Ashraf’s most-cited paper, “Does Automation Improve Financial Reporting? Evidence from Internal Controls” (2024), has garnered over 65 citations, establishing him as a leading voice in this rapidly evolving field. In this seminal study, he provides empirical evidence that automation enhances the accuracy and timeliness of financial disclosures while simultaneously strengthening internal control mechanisms, thereby reducing the risk of material misstatements. His findings have direct implications for regulators, auditors, and corporate managers seeking to leverage technology for more reliable financial reporting. Ashraf’s work bridges the gap between accounting practice and data-driven decision-making, offering a rigorous framework for evaluating the costs and benefits of automation in financial environments. As a researcher, he continues to explore how emerging technologies reshape audit quality and corporate governance, making his contributions essential reading for students and professionals navigating the digital transformation of accounting.