Traditional Banks Conversion Motivation into Islamic Banks: Evidence from the Middle East
Bibliographic record
Abstract
The increasing awareness on Islamic banking and finance has created a huge demand for shari’ah based or shari’ah compliant products. Banks, especially are trying to capture this huge market by either converting themselves into a full fledge Islamic banks or opening a window for the Islamic based transactions. This study highlights the reasons why traditional banks turned towards Islamic model. The phenomenon of traditional banks turning into Islamic form was reinforced by the success of these banks averting the recent world economic crises. This study examined this phenomenon through four axes, first is the law, second is the risk and profit rates, third is about the customer needs for Islamic products, final one the lessons of successful conversions the region. This study concludes that there is a statistical significance between the trend towards the switching to Islamic banks and the low risk nature with high levels of profits that characterized Islamic banks. Also, religious (Islam) has influenced the conversion towards Islamic model. The study put forward several recommendations. Perhaps the most important call is to unite, integrate and increase interdependence between the Islamic banks. It is also important for the Islamic banks to innovate and create new products for the benefit of the consumers at large.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".