Assessing the interrelationships between customer satisfaction, perceived value and behavioral intention among Maldivians seeking medical care within medical tourism services: Empirical evidence from the Maldives
Bibliographic record
Abstract
Empirical studies related to interrelationships between variables perceived value, customer satisfaction and behavioral intention conducted in the Maldives context and in the medical care industry is very rare. A quantitative cross-sectional study conducted in natural settings using a survey questionnaire to assess the interrelationships between above mentioned variables by utilizing a conceptual model created from three interrelationship models obtained from previous research. Data collected from willing participants across the 19 atolls resulting in a total of 385 responses obtained after data cleaning. A stratified proportionate random sampling method used. SPSS 25.00 and AMOS 23.00 used as analysis tools. The Sobel test applied to analyze the mediating effect of customer satisfaction on the relationship between perceived value and behavioral intention which confirmed a positive and significant relationship between perceived value, customer satisfaction and behavioral intention. Study rejected the hypothesis which test the mediation of customer satisfaction on the relationship between perceived value and behavioral intention. This study is first of its kind to generalize findings on Maldivian’s medical seeking behavior, and results helps policymakers, medical practitioners, medical institutions, and respective administrations to provide better customer perceived value towards providing higher customer satisfaction, which in effect improve customer behavioral intention towards medical care service providers.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| 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".