Study of the Impact of Relationship Marketing on the Customer Attitude with Emphasis on the Role of Advertising Effectiveness
Bibliographic record
Abstract
The purpose of this study is evaluating the impact of relationship marketing on the customer attitude (CA) with emphasis on the role of advertising effectiveness (AE) in Bank Mellat in the city of Tehran. The statistical population of this study consists of all employees, managers and relevant experts in Bank Mellat. We set the sample size at 221 persons based on the krejcie and Morgan table. Also, we used the random sampling method. This study is a descriptive/correlational research and we collected the data with the help of a questionnaire. We used the Likert scale for the measurement of the questionnaireâÂÂs variables. Several specialists and experts confirmed the validity of the research tools and the reliability of the relationship marketing questionnaire was verified by using the Chronbach's alpha 0.890, customer attitude 0.877, and the advertising effectiveness 0.872. We analyzed the data using the structural equations model. The results showed that the relationship marketingâÂÂs dimensions (trust, bonding, communication, shared values (SV), empathy and interaction) have a significant effect on customer attitude, while the effect of bonding was more pronounced than other factors
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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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".