The effect of the human resources cycle in improving the effectiveness of the accounting information system in Jordanian banks
Bibliographic record
Abstract
This research aims to study the effect of the human resources cycle in improving the effectiveness of the accounting information system in Jordanian banks by measuring the effect of the number of employees, total training expenditures, the total of salaries and rewarding workers and the total expenditures of workers in Jordanian banks on improving the effectiveness of the accounting information system in Jordanian banks through the net profit after tax deduction for the years from 2010 to 2019. The results of the study indicate that there is a statistically significant effect at the level of confidence of 5% for the number of employees, total training expenditures, and total employee expenditures on improving the effectiveness of the information system in Jordanian banks and the absence of a statistically significant relationship to the effect of total salaries and remunerations of workers, as the parameter was -5.934. The study recommended measuring the effect of the human resources cycle in improving the effectiveness of the information system in Jordanian banks in terms of liquidity and solvency, and in other business sectors.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".