Factors affecting Jordanian Islamic banks towards competitive advantage
Bibliographic record
Abstract
There are challenges Jordanian Islamic banks face in maintaining and enhancing their competitive advantage in a rapidly evolving and increasingly competitive market. This paper aims to examine the factors that affect Jordanian Islamic banks towards competitive advantage, in addition to examining the roles of strategic intelligence and organizational creativity in enhancing Jordanian Islamic banks' competitiveness. However, this paper relied on the descriptive analytical approach, and the study population included general manager, department manager, branch manager, head of department based on Banks structures and annual reports from 2018 to the end of 2023. A stratified random sample was used, approximately 243 questionnaires were examined. The results indicated that organizational creativity and strategic intelligence play a crucial role in building competitive advantage. Also, organizational creativity contributes to achieving superiority by creating an innovative organizational environment, while strategic intelligence reflects the ability to make smart decisions that enhance competitive effectiveness. This paper also demonstrated the importance of managing and harnessing information effectively in order to enhance strategic intelligence. However, this paper contributes to the understanding of success factors in Islamic banking and provides actionable insights for managers navigating the complexities of the banking sector, emphasizing the importance of innovation, differentiation, and strategic decision-making for sustained growth and competitiveness.
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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 | 0.001 | 0.005 |
| 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 | 0.001 | 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".