The importance of implementing the responsibility accounting features in Jordanian public companies in limiting the occupational fraud from the point of view of internal auditors and external auditors
Bibliographic record
Abstract
This paper was conducted to determine the importance of applying the features of responsibility accounting in Jordanian shareholding companies in limiting occupational fraud from the point of view of internal auditors and external auditors. It focuses on comparing their opinions and attitudes towards this issue. The study used a questionnaire that was designed and distributed to a random sample of 98 internal auditors who were shareholders of the firms and 93 external auditors who audited the accounts of the companies. The data collection tool included paragraphs about the seven features of responsibility accounting represented like dividing the organizational structure of the company into responsibility centers, and the existence of a system of delegation to the managers of responsibility centers with their powers in the shareholding. Statistical analysis of the data was performed using the SPSS statistical package. It was found that there is a role to adopt and apply all the features of responsibility accounting in Jordanian shareholding companies from the point of view of both internal and external auditors in limiting occupational fraud. The study recommended the adoption of an accounting system in companies that are in line with responsibility accounting given their role in limiting occupational fraud. The study also sheds light on the importance of external auditors giving attention to reviewing and evaluating the organizational environment and administrative procedures in the company to ensure that they are consistent with integrity and honesty.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".