The Mediating Role of Customers' Satisfaction on the Effect of CRM on Long-Term Customers Loyalty in the Banking Sector in the Palestinian Territory
Bibliographic record
Abstract
This study aims to investigate the mediating role of customers' satisfaction on the effect of customer relationship management on long-term customers' loyalty in the banking sector in the Palestinian Territory. Using advanced statistical methods. This study supports that there is a high level in implementing the CRM, customers' satisfaction, and long-term customers' loyalty. It showed that these three variables: CRM, customers' satisfaction, and long-term customers' loyalty have a significant role on the Banking sector. CRM and its dimensions, and both of customers' satisfaction, and long-term customers' loyalty are positively significant correlated. Also, finds that there is no role for customers' satisfaction as a mediator variable in enhancing the impact of CRM on long-term customers' loyalty. Moreover, based on SEM the study shows that there is a direct impact of CRM system integration and customers satisfaction on long-term customers' loyalty, whereas there is a direct impact for customers' database and CRM system integration on customers' satisfaction. The scholars find that the Palestinian local banks should pay more efforts to improve their competences to enhance the quality of service and their employees' behavior level. On the other side, they need to keep their customers database updated and to be aligned with the cutting edge technologies to provide better service for customers, which is appropriate and meet their needs by obtaining the accurate information about their preferences in order to build a strong competitive advantage that is hard to imitate, this leads to build a strong relationship with customers.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".