The study aims to examine the impact of applying Artificial Intelligence (AI) technologies on the financial reports quality (FRQ) in its dimensions (Fair representation, relevance, and timeliness) in listed companies on the Saudi market, which consists of (224) companies that form the study population. The researcher distributed (400) questionnaires to the study sample, which included accountants, IT department employees, department heads, and financial managers in companies listed on the Saudi market. The study found that there is a statistical significant effect at the significance level of (0.05 ≥ α) for applying AI techniques on the (FRQ) in its dimensions (Fair representation, relevance, and timeliness) in companies listed on the Saudi market. This result imply that companies listed on the Saudi market are interested in the continuous application of AI techniques to innovate optimize solutions for problems that accountants may face while preparing financial reports, predicting potential risks, and providing mechanisms for some basics on how to deal with these risks. The study recommends the necessity of holding intensive training courses to master and master AI techniques to prepare accurate financial statements that achieve quality and present them to the beneficiary parties, and to conduct more research on several variables that contribute to enhance the knowledge about upgrading the quality and efficiency of financial reports.

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The Impact of Applying Artificial Intelligence Technologies on the Financial Reports Quality in Listed Companies on the (SSM)

  • Tareq Hammad Almubaydeen,
  • Thaer Faisal Abdelrahim Qushtom,
  • Mohammed Eid T. Alsharari

摘要

The study aims to examine the impact of applying Artificial Intelligence (AI) technologies on the financial reports quality (FRQ) in its dimensions (Fair representation, relevance, and timeliness) in listed companies on the Saudi market, which consists of (224) companies that form the study population. The researcher distributed (400) questionnaires to the study sample, which included accountants, IT department employees, department heads, and financial managers in companies listed on the Saudi market. The study found that there is a statistical significant effect at the significance level of (0.05 ≥ α) for applying AI techniques on the (FRQ) in its dimensions (Fair representation, relevance, and timeliness) in companies listed on the Saudi market. This result imply that companies listed on the Saudi market are interested in the continuous application of AI techniques to innovate optimize solutions for problems that accountants may face while preparing financial reports, predicting potential risks, and providing mechanisms for some basics on how to deal with these risks. The study recommends the necessity of holding intensive training courses to master and master AI techniques to prepare accurate financial statements that achieve quality and present them to the beneficiary parties, and to conduct more research on several variables that contribute to enhance the knowledge about upgrading the quality and efficiency of financial reports.