Perceptions of Service Quality and Behavioral Intentions: A Mediation Effect of Patient Satisfaction in the Private Health Care in Malaysia
Bibliographic record
Abstract
This study attempts to examine the mediation effect of satisfaction on service quality perception and intentionsbehavior of private hospital outpatients in Malaysia. 300 hospital outpatients were selected as the sample size.Regression analysis was run to test the hypotheses. Based on the 273 completed data, the results provide supportfor the association between perceived service quality dimensions (tangibles, assurance, and empathy) andbehavioral intentions. The results also confirm that service quality perception is an antecedent of intentions. Inaddition, tangibility, reliability and assurance are important predictors of satisfaction, and satisfaction has astrong positive relationship with intentions. In short, service quality drives satisfaction which in turn drivesbehavioral intentions. The finding also indicates that satisfaction partially mediates the relationship betweenperceived service quality and behavioral intentions. As a result, the strength of the perceived servicequality-behavioral intentions relationship becomes weaker when satisfaction is considered. Theoretical andmanagerial implications of the findings are also discussed.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".