The Role of Forensic Accounting in Limiting Tax Evasion in the Jordanian Public Industrial Shareholding Companies through the Perspective of Jordanian Auditors
Bibliographic record
Abstract
This study aims at identifying the role of forensic accounting in limiting tax evasion in the Jordanian public industrial shareholding companies as well as identifying the most modern methods followed by the Jordanian industrial companies to evade the payment of due taxes. The study also concentrated on clarifying the fields in which forensic accounting is applied and reasons for its appearance. The researcher chose a random sample of external auditors affiliated to the Jordanian association of certified public accountants (JACPA) who had audited the financial statements of the public shareholding industrial companies in Jordan. The study produced a number of important results and recommendations most significantly that there is no statistically significant role of the forensic accounting in limiting the acquisition method of accounting and the misuse of materiality as methods of tax evasion followed in the Jordanian industrial companies, and that there is a statistically significant role of the forensic accounting in limiting the use of accounting estimates and revenue recognition as methods of tax evasion followed byJordanian industrial companies. The researcher also recommends for the competent governmental authorities to activate the role of forensic accounting as a method to limit the cases of tax evasion.
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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 | 0.000 | 0.000 |
| 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".