Investigating Service Quality Initiatives of Pakistani Commercial Banks
Bibliographic record
Abstract
The study investigated the service quality initiatives taken by Pakistani commercial banks in Lahore based on the perceptions of 447 respondents, selected by using multistage random sampling technique, through SERVQUAL scale which was found reliable at 0.866 Cronbach’s alpha. Mean scores, alphas, and correlations were calculated. One-Sample t-test, Independent Samples t-test, and One-way ANOVA were employed for significance and variance analysis. The study concluded that customers, employees, and managers respectively were not satisfied with the overall service quality provided by the Pakistani banks in terms of five sub-scales of service quality. However, tangibles were relatively at top whereas assurance was at the lowest position. Reliability and empathy were at almost similar level and banks failed in their responsiveness. Pakistani banks need to revisit their quality initiatives and focus on responsiveness, assurance, reliability, empathy, and tangibles in order of priority to ensure the set standards of service quality.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".