Impact of leisure travel desire on tourist’s motivation for shared accommodations: Moderating role of COVID-19 risk and perceived sanitization
Bibliographic record
Abstract
Our study explored the role of leisure travel desire on attitude, subjective norm, and perceived behavioural control for shared accommodation using a theory of planned behaviour lens. Furthermore, the consequent effects on the intention to stay and pay a premium for sanitization practices are also explored. Lastly, the study evaluates the contingency effects of COVID-19 risk and perceived sanitization practices on the above relationships. The study used partial least squares in SmartPLS 3.3.9 to validate the direct and contingent relationships, by analyzing complete responses from West (n=186) and East (n=234) parts of India. Findings suggest that leisure travel desires in the new normal do positively affect their attitude, subjective norms, and perceived behavioural control towards shared accommodation, which in turn shapes their intention to stay and pay a premium for sanitization practices. Furthermore, while COVID-19 risk reduces the direct effects, perceived sanitization practices enhance them.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".