The Impact of the Use of Artificial Intelligence on the Development of External Audit Efficiency in Jordanian Mining and Extractive Corporations

This study aims to identify the impact of the use of artificial intelligence on the development of external audit efficiency in Jordanian public shareholding and mining and extractive companies. The sample of the study consisted of (56) external auditors in (13) Jordanian mining and extractive corporations. The descriptive approach and analytical approach were also used for its occasion in achieving the objectives of the study. The data was processed statistically using arithmetic averages and multiple regression analysis.The study found a statistical impact of artificial intelligence on the development of external audit efficiency in Jordanian mining and extractive corporations, and the existence of a statistical impact of artificial intelligence, represented in: (Planning, carrying out control tests and basic tests of operations, carrying out analytical procedures and detailed tests of balances, auditing subsequent events and future commitments prior to the issuance of the auditor's report) in improving all dimensions of governance (effective governance framework, disclosure and transparency, shareholder equality, responsibilities of the Board of Directors, role of stakeholders) in mining companies and extraction companies in Jordanian Public Shareholding.In light of the results of the study, it recommended that the total reliance on artificial intelligence be made easier for auditors, which has a high positive impact.

Authors

Publication Details

Journal
Accounting and Finance Research
Published
2025-04-07
DOI
https://doi.org/10.5430/afr.v14n2p13
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of the Use of Artificial Intelligence on the Development of External Audit Efficiency in Jordanian Mining and Extractive Corporations

Ali Mustafa Magablih
Accounting and Finance Research
Organizational and Employee Performance
article

The Impact of the Use of Artificial Intelligence on the Development of External Audit Efficiency in Jordanian Mining and Extractive Corporations

Ali Mustafa Magablih
article en

Abstract

This study aims to identify the impact of the use of artificial intelligence on the development of external audit efficiency in Jordanian public shareholding and mining and extractive companies. The sample of the study consisted of (56) external auditors in (13) Jordanian mining and extractive corporations. The descriptive approach and analytical approach were also used for its occasion in achieving the objectives of the study. The data was processed statistically using arithmetic averages and multiple regression analysis.The study found a statistical impact of artificial intelligence on the development of external audit efficiency in Jordanian mining and extractive corporations, and the existence of a statistical impact of artificial intelligence, represented in: (Planning, carrying out control tests and basic tests of operations, carrying out analytical procedures and detailed tests of balances, auditing subsequent events and future commitments prior to the issuance of the auditor's report) in improving all dimensions of governance (effective governance framework, disclosure and transparency, shareholder equality, responsibilities of the Board of Directors, role of stakeholders) in mining companies and extraction companies in Jordanian Public Shareholding.In light of the results of the study, it recommended that the total reliance on artificial intelligence be made easier for auditors, which has a high positive impact.

Accounting and Finance ResearchVol. 14(2)
Openalex Percentile: Top 97%
Organizational and Employee Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Impact of the Use of Artificial Intelligence on the Development of External Audit Efficiency in Jordanian Mining and Extractive Corporations — Ali Mustafa Magablih · Accounting and Finance Research (2025) | TGRS Research Map | TGRS