Role of Information and Communication Technology in Applying Quality Control Procedures in Audit Offices in the Hashemite Kingdom of Jordan
Bibliographic record
Abstract
The study aims to determine the impact of information technology on quality control elements and procedures, including vocational requirements, personal management procedures, client acceptance and continuance, audit performance, and following up and monitoring procedures used by auditing offices in Hashemite Kingdom of Jordan. The researcher has used descriptive analytical approach for conducting relevant literature reviews. In addition, a questionnaire has been distributed to study sample (i.e audit offices) in order to identify to which extent information technology affects audit quality control. The recent study has found that information technology affects highly quality control procedures and elements including vocational requirements, personal management procedures, client acceptance and continuance, plus audit performance in audit offices. In addition, it has concluded that information technology has a medium impact on following-up and monitoring procedures used by audit offices moreover, the study showed that using information technology has contributed to achieve quality control goals, desired.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".