Service quality and satisfaction: an international comparison of professional services perceptions
Bibliographic record
Abstract
Purpose This study aims to examine the applicability of key measures of service quality and customer satisfaction in a cross‐cultural setting, first establishing measurement equivalence and then investigating the impact of culture on these measures. Design/methodology/approach Using scenarios involving a visit to the dentist's office, respondents from Germany, Japan, and the USA participated in a 2 × 2 factorial experiment in which the authors manipulated both expectations (low/high) and service performance (low/high). Findings Regardless of expectations, when performance was low, the low‐context respondents (USA and Germany) perceived lower quality than did the respondents from the high‐context country (Japan), but gave higher quality ratings than did the Japanese respondents when the performance was high. Practical implications The findings of this study highlight the necessity of considering culture when interpreting customer satisfaction ratings. Originality/value This research adds credence to the paramount role culture plays in consumers' ratings of perceived service quality and customer satisfaction.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".