2021
DOI: 10.20944/preprints202105.0541.v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

The Effect of Artificial Intelligence (AI) on the Quality and Interpretation of Financial Statements in the Hotels Classified in the AQABA Special Economic Zone (ASEZA)

Abstract: The study aims to examine the effects of artificial intelligence (AI) on the consistency and analysis of financial statements in hotels in ASEZA, Jordan. This research is an exploratory, empirical study, which uses the methodology of data collection and interpretation to draw conclusions. The researchers used the arithmetic mean, standard deviation, T-test and ANOVA test to calculate the degree of significance of the study questions. The findings of a basic linear regression study of the impact of AI implement… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 27 publications
1
3
0
Order By: Relevance
“…It became clear through the above analysis that the artificial intelligence variable in all its paragraphs had obtained high and high average values, because artificial intelligence contributed significantly to influencing the dependent variables by relying on expert systems, automatic learning and the method of subtracting and presenting information. This result agreed with Askary et al (2018) and Hamadneh et al (2021) who emphasized that artificial intelligence represents the nature of its systems, the brain that controls the organization by relying on expert systems that -based on their design -process accounting events and operations in a fast and accurate manner and provide them on demand in a short time.…”
Section: Artificial Intelligence Positively Influences Efficiency Of Accounting Information Systemssupporting
confidence: 88%
See 2 more Smart Citations
“…It became clear through the above analysis that the artificial intelligence variable in all its paragraphs had obtained high and high average values, because artificial intelligence contributed significantly to influencing the dependent variables by relying on expert systems, automatic learning and the method of subtracting and presenting information. This result agreed with Askary et al (2018) and Hamadneh et al (2021) who emphasized that artificial intelligence represents the nature of its systems, the brain that controls the organization by relying on expert systems that -based on their design -process accounting events and operations in a fast and accurate manner and provide them on demand in a short time.…”
Section: Artificial Intelligence Positively Influences Efficiency Of Accounting Information Systemssupporting
confidence: 88%
“…Accounting is one of the fields like other fields that have been invaded by information technology and changed many of its features such as artificial intelligence, data analysis and block chain (Shrestha et al, 2019;Raisch and Krakowski, 2021). And there are many scholars and researchers who have predicted that automating accounting activities will eventually lead to the gradual disappearance of accountants and auditors, as this automation will facilitate the work of individuals who do not have sufficient experience in the field and thus dispense with the human element in accounting (Askary et al, 2018;Hamadneh et al, 2021).…”
Section: Problem Formulationmentioning
confidence: 99%
See 1 more Smart Citation
“…Credit Evaluation/Scoring Application: When AI is used for credit scoring and lending decisions, it's possible to make decisions based on data, focus on increasing margins instead of lowering risks, and estimate a smoother risk vs. profit curve instead of using pre-calculated scorecard brackets. Most financial institutions still use the scorecard technique, or the dynamics prevalent at the time of its creation, to run credit rating models (Arli et al, 2021;Hamadneh et al, 2021;Hye, 2022). To be regarded as "scorable," a prospective borrower must have a significant amount of historical information on prior borrowing behaviour.…”
Section: Artificial Intelligencementioning
confidence: 99%