Rural Tourism Destination Performance in East Malaysia: Influencing Factors from the Communities’ Perspective
Bibliographic record
Abstract
Rural tourism is a rapidly growing tourism segment and has been given increasing importance, in view of its potential to contribute economic growth to the rural areas. However, any rural tourism destination development should be implemented in a way that maximises destination performance. In our study, we examine the relationship between support and participation of the local government, community leadership in tourism, community attitudes towards tourism, and community support towards tourism with destination performance (from the economic, socio-cultural and environmental aspects), from the local community perspective. We obtained, as voluntary respondents, 176 residents of a local community at a rural tourism destination in Sabah, Malaysia. SmartPLS 2.0 (M3) was applied to assess the developed model. Thereafter, to generate the standard error of the estimate and t-values, bootstrapping with 200 re-samples was applied. The findings suggested that community attitudes and community leadership in tourism have a significant positive impact on destination performance, whereas local government participation and support, and community support for tourism, had little impact on the same. Implications of these findings were further discussed.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".