Optimization Of Accounting Recording Process Using RPA Technology in Multifinance Companies

This study investigates the optimisation process of accounting recording systems within financial institutions, focusing on the role of Robotic Process Automation in multi- finance firms. By employing a qualitative exploratory approach through a Systematic Literature Review, the research evaluates the extent to which existing studies have explored five key steps of process optimisation: Tasks and Process Identification, Workflow Redesign, Development and Testing, Implementation, and Performance Monitoring. The findings reveal that Tasks and Process Identification have received the most attention among these steps, while Development and Testing remain the least explored areas. The study highlights the transformative potential of Robotic Process Automation in enhancing efficiency, accuracy, and decision-making within financial operations. Furthermore, it provides insights into the challenges and opportunities for improving Robotic Process Automation implementation, suggesting a need for further research in less explored dimensions. This research contributes to understanding the current state of adoption and offers actionable insights for future advancements in the financial sector.

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Publication Details

Published
2025-05-15
DOI
https://doi.org/10.1109/iraset64571.2025.11008161
Citations
1
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
1.24
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article

Optimization Of Accounting Recording Process Using RPA Technology in Multifinance Companies

Drajad Wiryawan, Archie Nathanael Mulyawan, Ricky Chen
1 citations
Robotic Process Automation Applications
1.24
article

Optimization Of Accounting Recording Process Using RPA Technology in Multifinance Companies

Drajad Wiryawan, Archie Nathanael Mulyawan, Ricky Chen
article en
1 citations

Abstract

This study investigates the optimisation process of accounting recording systems within financial institutions, focusing on the role of Robotic Process Automation in multi- finance firms. By employing a qualitative exploratory approach through a Systematic Literature Review, the research evaluates the extent to which existing studies have explored five key steps of process optimisation: Tasks and Process Identification, Workflow Redesign, Development and Testing, Implementation, and Performance Monitoring. The findings reveal that Tasks and Process Identification have received the most attention among these steps, while Development and Testing remain the least explored areas. The study highlights the transformative potential of Robotic Process Automation in enhancing efficiency, accuracy, and decision-making within financial operations. Furthermore, it provides insights into the challenges and opportunities for improving Robotic Process Automation implementation, suggesting a need for further research in less explored dimensions. This research contributes to understanding the current state of adoption and offers actionable insights for future advancements in the financial sector.

Binus University (ID)
Decent work and economic growth
Openalex Percentile: Top 19%
Robotic Process Automation Applications
1.24
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