Impact of AI on Accounting Practices in Saudi Arabia

Azeem Ahmad Khan (), Seraj Bahrawe () and Sarfaraz Javed ()
Additional contact information
Azeem Ahmad Khan: College of Business, Al-Baha University
Seraj Bahrawe: College of Business, Al-Baha University
Sarfaraz Javed: Sohar University

A chapter in Trends and Challenges of Electronic Finance, 2025, pp 429-448 from Springer

Abstract: Abstract This research analyzes how AI affects Saudi accounting methods. AI has transformed several professions, including accounting, and is improving everyday jobs. The study used questionnaire for data collection. Financial specialists, accountants, and IT workers in Saudi Arabia were targeted. Purposive sampling selected respondents. Hypotheses were examined using statistical tools and data analysis. This study shows that AI adoption improves Saudi financial decision-making. It highlights the significance of AI in improving financial reporting and fraud detection, providing fresh insights into how AI affects accounting processes in the area. The results showed that AI adoption improves financial decision-making. The results showed that AI improves Saudi Arabian financial decision-making in accounting. AI also affects financial reporting and fraud detection, affecting financial decision-making. The report suggests that the Saudi Arabian government trains accountants on AI in accounting operations to guarantee they can integrate AI into the profession.

Keywords: Accounting; Accounting Practices; Accountants; Artificial Intelligence; Technology (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-96-3304-3_24

Ordering information: This item can be ordered from
http://www.springer.com/9789819633043

DOI: 10.1007/978-981-96-3304-3_24

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().