Skip to main content

The Impact of Artificial Intelligence (AI) on the Accounting System of Saudi Companies

Author name : MONA MOHAMED ALY ELSHAABANY
Publication Date : 2024-07-01
Journal Name : WSEAS Transactions on Business and Economics

Abstract

- As a major player in the world market, Saudi Arabia has seen a substantial adoption of AI technology in its commercial environment. This study intends to thoroughly examine the particular effects of AI on Saudi businesses' accounting systems. This paper offers a comprehensive knowledge of the consequences of AI application in the accounting sector by a thorough examination of the body of existing literature. It looks at how traditional accounting methods are affected by AI-driven automation, data analysis, and decision-making processes in the Saudi Arabian environment. The viewpoint and experiences of first-hand participants in integrating AI into Saudi enterprises' accounting systems are provided by this study through a survey distributed to important stakeholders, such as accounting professionals, technology specialists, and business leaders. The study also emphasizes how incorporating AI technology into accounting procedures may affect workforce dynamics, skill needs, and organizational structure as a whole. One of the research's most significant findings is the ability of AI to process enormous volumes of data fast and accurately allows for improved financial analysis, risk assessment, and forecasting. And making wiser and more strategic business decisions is facilitated by this. Furthermore, the use of AI reduced the need for human labor and streamlined accounting procedures, which saved Saudi businesses money. As a result, resource allocation was optimized, and overall financial performance was enhanced.

Keywords

Artificial intelligence (AI), accounting system, financial data, analysis, forecasting, technology.

Publication Link

https://www.wseas.com/journals/bae/2024/a845107-2566.pdf

Block_researches_list_suggestions

Suggestions to read

Generalized first approximation Matsumoto metric
AMR SOLIMAN MAHMOUD HASSAN
HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things
Ahlem . Harchy Ep Berguiga
Structure–Performance Relationship of Novel Azo-Salicylaldehyde Disperse Dyes: Dyeing Optimization and Theoretical Insights
EBTSAM KHALEFAH H ALENEZY
“Synthesis and Characterization of SnO₂/α-Fe₂O₃, In₂O₃/α-Fe₂O₃, and ZnO/α-Fe₂O₃ Thin Films: Photocatalytic and Antibacterial Applications”
Asma Arfaoui
Contact