An empirical investigation on the effects of electronic banking on key customer relationship management
Bibliographic record
Abstract
In recent years, there has been good progress on information and communication technology influencing businesses with a new emerging concept called customer relationship management (CRM) and it has made significant changes in electronic banking. The primary objective of this paper is to survey electronic banking effects on key CRM components in one of Iranian banks in city of Tehran, Iran. The survey designs a questionnaire and distributes it among some experts in one of selected regions and the results are verified based on t-student and Freedman tests. Results show that all electronic banking services influence on CRM. In addition, that there are no significant differences among effects of electronic services on CRM but each CRM component has different effects on electronic services. In fact, according to freedman test, improving customer relationship process is the most important factor followed by providing appropriate service for each customer, providing appropriate service on appropriate time for each customer and providing appropriate service by appropriate channel for each customer.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".