The Effect of Applying the Organization Enterprise Resource Planning System (ERP) in the Quality of Internal Audit: A Case of Jordanian Commercial Banks
Bibliographic record
Abstract
This study aimed at examining the impact of the ERP system on the quality of internal auditing in the Jordanian commercial banks. For this purpose, the researchers designed a questionnaire that was distributed to specialists in the same field of this research. The questionnaire consisted of eight perspectives. The study’s sample included 21 Jordanian banks, while the study’s sample consisted of thirteen Jordanian commercial banks. The results discovered a statistical and significant impact on the application of the organization's resource planning system, especially in the field of finance, marketing, sales, management, human resources as well as the services’ system. Based on these results, the researchers raised up a set of recommendations, which are including the necessity of developing the capabilities of the internal auditors in the use of the organization's ERP system in general, and enhancing the accounting system to increase the confidence and the quality of the financial reports particularly. Additionally, it is necessary to explain for the internal auditors the risks, which are embedded in the system of information technology.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".