The Role of Internal Control Components on Financing Activities in Jordan Islamic Bank (North Region)
Bibliographic record
Abstract
The current study aims to define the role of internal control components on financing activities in Jordan Islamic Bank. The study population was made of all the funding granting committees’ employees in Jordan Islamic Bank (North region); (48) employees in (2017). The study sample included the study population as a whole, but due to the absence of some employees, the study sample was made of (40) employees as a result. To accomplish the study objectives, both; the descriptive and analytical approaches have been used, besides (T-test) and simple linear regression analysis. The study reached several results, the most important among them were: there is a statistically significant role for the internal control components on the financing activities in Jordan Islamic Bank (North region) at Sig. (α≤0.05), with a high level. there is a statistically significant role for the internal control environment over the financing activities in Jordan Islamic Bank (North region) with a very high level at Sig. (α≤0.05), there is a statistically significant role for the internal control activities accredited by the internal control committees over the financing activities in Jordan Islamic Bank (North region) with a very high level at Sig. (α≤0.05), there is a statistically significant role for the communication and information system applied by the internal control committees over the financing activities in Jordan Islamic Bank (North region) with a very high level at Sig. (α≤0.05), there is a statistically significant role for the follow-up system adopted by the internal control committees over the financing activities in Jordan Islamic Bank (North region) with a very high level at Sig. (α≤0.05), and there is a statistically significant role for the risk assessment system applied by the internal control committees over the financing activities in Jordan Islamic Bank (North region) with a medium level at Sig. (α≤0.05). Based on these results, the researcher recommended the importance of developing the internal control environment and increasing its efficiency, besides, maintaining the quality of policies and procedures that helps guaranteeing executing the management views and developing the risk assessment system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".