Identifying and Evaluating the Criteria's Affecting of Customer ExperienceUsing Fuzzy Dematel Approach (Case Study: Branches of Bank Melli in Tehran)
Bibliographic record
Abstract
Customer experience is one of the most important factors that maintains the customer for banks and turns him into a loyal customer in the competitive marketplace conditions. This concept includes any type of interaction, feelings, perceptions, reactions, thoughts and other related cases from customers about the organization especially in the circumstance of service organization. In this study, 7 factors were identified as key determinants or constructs in the customer experience that according to the methodology of use the technique of fuzzy dematel, the most influential factor is the diversity of services and facilities provided in the bank. Other affecting factors include staff and managers of banks dealing with customers and quickness and easiness of using the bank's services. The factors that are affected are the communication system with the customers in the bank, services environment in bank and advertising as well as the bank's reputation. According to the results, the most influential factor in the customer experience of the bank services is in fact the diversity of services and facilities provided by the bank and how the bank directors and staff deal with customers indicating that for customers the main services of bank and how the staff deal with them is very important and these two factors should be focused to increase better experience of customers.
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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 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".