Analysis of the Antecedents of Customer Loyalty of Telecommunication Industry in Ghana: The Case of Vodafone (Ghana)
Bibliographic record
Abstract
The study investigated the determinants of customer loyalty in Vodafone (Ghana). The main variables of concern were service quality, customer satisfaction and image, even though other factors were also considered.The study adapted the SERVQUAL model as the main framework for analyzing service quality. Multiple and logistic regression analyses were used to examine the relationships between service quality, customer satisfaction, image and customer loyalty. The results indicate that there is a positive relationship between service quality and customer loyalty. However, the results show a negative relationship between customer satisfaction and customer loyalty. The results of the findings suggest that Telecom management needs to emphasise service quality. Due to the fact that telecom firms do not provide tangible products, their service quality is usually assessed by measures of the service provider’s relationship with customers. Thus, telecom service management should pay attention to staff skill possession and offering fast and efficient services.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".