Evaluating Consumer Behaviour Towards Traditional Newari Food in the Kathmandu Valley
Bibliographic record
Abstract
This study evaluates tourists' food choice behaviour towards traditional Newa (Newari) cuisine in Kathmandu Valley by employing an extended Theory of Planned Behaviour (TPB) framework. This study integrates additional dimensions (Curiosity, Perceived Usefulness, Education, and Aesthetic) alongside core TPB constructs of Attitude, Subjective Norms, and Perceived Behavioural Control to explore the factors influencing food choices. A quantitative approach was adopted, with data collected from 182 domestic and international tourists using a structured Likert-scale questionnaire. Results from descriptive and correlation analyses highlight the significant roles of attitudes, experiential dimensions, and behavioural control in shaping tourists' intentions and actual behaviour towards consuming Newa (Newari) cuisine. This study bridges existing research gaps and provides actionable insights for promoting Newa (Newari) cuisine as a cultural and epicurean asset in Nepal’s heritage tourism. Strategically integrating authentic culinary experiences into the broader tourism framework can catalyse sustainable development, enhancing cultural appreciation and encouraging long-term growth in the tourism sector.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".