Hyperautomation in Accounting: A Bibliometric Journey Through Artificial Intelligence and Robotic Process Automation Integration

Abstract

The integration of advanced digital technologies has significantly transformed accounting practices over the past few years. However, structured analysis of how hyperautomation, primarily through tools such as artificial intelligence (AI) and robotic process automation (RPA), is affecting the field remains limited. This study examines the evolution of hyperautomation research in accounting, identifying key trends, thematic areas, and the countries that have contributed to this field. A bibliometric approach was employed to analyse peer-reviewed journal articles published between 2019 and 2024 in the Web of Science database, using tools such as BiblioMagika, Excel, and VOSviewer. Co-occurrence analysis was applied to reveal dominant research themes and the intellectual structure of the field. The findings reveal a notable growth in publications since 2019, with the United States and China as the most prolific contributors. Core themes include intelligent automation in auditing, financial analysis, corporate governance, and sustainability. This study offers the first comprehensive bibliometric mapping of hyperautomation in accounting, contributing to a clearer understanding of its academic evolution. The results inform both future research and practical applications. Limitations include the database scope and the need for further inquiry into ethical and organizational challenges surrounding adoption.