The impact of analytical CRM on strategic CRM, operational CRM and customer satisfaction: Empirical study on commercial banks
Bibliographic record
Abstract
The aim of this study is to identify the effect of the analytical customer relationship management (CRM) on strategic CRM, operational CRM and customer satisfaction. Data collected from a sample consisted of 150 managers of managers in commercial banks using a questionnaire. The results accepted the hypotheses that analytical CRM is positively related to both strategic CRM and operational CRM, which in turn show significant effects on customer satisfaction. Analytical CRM had no significant direct effect on customer satisfaction, but through strategic CRM and operational CRM. Such results indicated that strategic CRM and operational CRM had a full mediation role between the analytical CRM and customer satisfaction. It was concluded based on these results that CRM components, i.e., analytical, strategic and operational CRM are all critical in ensuring customer satisfaction. Therefore, banks should consider all these components in designing their CRM programs.
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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 | 0.001 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".