The Personality Factor of Conscientiousness on Skills Requirement and Fraud Risk Assessment Performance
Bibliographic record
Abstract
The study examines the moderation effect of the personality factor of conscientiousness on the relationship between skills (forensic accountant and auditor) and fraud risk assessment task performance in the Jordanian public sector. The forensic accountant skills denote enhanced level of capability purposely required to collect evidence in respect of fraud prevention, detection, deterrence as well as response. Whereas, the auditing standards require auditors to make available realistic guarantees in terms of sufficiency and reliability that the financial statements as a whole are free from material misstatements arising from fraud or error. Despite efforts by the government in reducing cases of fraud through a measure of reforms such as the establishment and strengthening of accountability organs and promoting global best practices for corporate organisations, fraud and financial crimes in the public sector of Jordan are still increasing. Hence, this paper develops a conceptual framework to investigate the moderating effect of conscientiousness on skills requirements and fraud risk assessment performance. The study will assist the forensic accountants and auditors working as regulators in the public sector environment concerning fraud prevention, detection, and response. It also creates awareness among accounting information users in the public sector. The paper contributes to the literature on personality factors of conscientiousness, auditing and forensic accounting, enhanced capability skills requirement, and competence (fraud risk assessment performance) by forensic accountants and auditors about fraud prevention, detection, and response in the Jordanian public sector.
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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 | 0.002 | 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 | 0.000 |
| Open science | 0.000 | 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".