The Evaluation of Effect Electronic Banking in Customer Satisfaction and Loyalty
Bibliographic record
Abstract
In order to understand customers’ characteristics, banking management should create a good relationship with them. The goal of this research is evaluation of effect electronic banking and three dimensions comprise quality of system, quality of information and quality of servicein customer loyalty with regard to role of customer satisfaction among customers of mellat bank in Isfahan city in Iran. The population of the study comprises customers of mellat bank in Isfahan city that use of total electronic banking service, therefore the population of research is unlimited and uncounted. The instrument of data collection in this research is standard questionnaire. Number of 250 questionnaire distributed and totally 224 questionnaires were analyzed. Samples were also selected with method of available random. To analyze data and test hypotheses was used pls and Spss software. The results indicate that system quality has a positive and significant impact in customer satisfaction. On the other, results indicate that information quality has a positive and significant impact in customer satisfaction. Also, the effect of customer satisfaction in customer loyalty is confirmed.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".