Amiri, Sayed Mahbub Hasan and Mithila, Marzana (2025) Automated accounting systems: Redefining the role of the accountant. International Journal of Science and Research Archive, 15 (2). pp. 908-920. ISSN 2582-8185
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Abstract
The rapid adoption of automated accounting systems has transformed the accounting profession, reshaped traditional roles and introducing new opportunities and challenges. This study explores the impact of automation on accounting practices, focusing on how it has redefined the role of the accountant. Automation, driven by technologies such as robotic process automation (RPA), artificial intelligence (AI), and cloud-based tools, has alleviated manual, repetitive tasks, enabling accountants to focus on higher-level functions like data analysis, strategic decision-making, and advisory services. While automation offers significant advantages in terms of efficiency, accuracy, and real-time data processing, it also brings challenges, including concerns over job displacement, data security, and the need for new skill sets. The research discusses how the profession is evolving from a traditional role focused on bookkeeping and compliance to one centered on data-driven decision-making and organizational strategy. The study further examines the implications of these changes for accounting professionals, organizations, and educational institutions. Recommendations are provided for policymakers, educators, and accounting professionals on how to navigate the challenges and opportunities presented by automation. This paper contributes to the growing body of literature on accounting technology and provides a roadmap for the future of the profession in an increasingly automated world.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/ijsra.2025.15.2.1476 |
Uncontrolled Keywords: | Automated Accounting Systems; Accounting Automation; Robotic Process Automation; Artificial Intelligence in Accounting; Accounting Technology |
Depositing User: | Editor IJSRA |
Date Deposited: | 25 Jul 2025 15:18 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/1922 |