People Perception on Business Opportunities of Banana Restaurants of Tikapur: Evidence from Structural Equation Modelling
Bibliographic record
Abstract
Banana restaurant is a new concept in Nepal where the products are made using banana only which gives the first mover advantage in product development and has less explored in Nepal. Therefore, this study aims to analyse consumers’ perception and business opportunity of banana restaurant in Tikapur, Kailali, Nepal. This study adopted explanatory research, and 203 samples were collected from consumers of banana restaurants. In addition, data were collected using structured questionnaire by using KOBO Toolbox. Thus, the obtained data were analysed by using both descriptive and inferential methods. Findings indicate that consumers perceive products of banana restaurant positively and are enjoying the variety of products. Likewise, SEM results indicate that psychological, economic and social characteristics are significant to innovativeness and risk taking, whereas innovativeness and risk taking are significant to managerial performance. Banana restaurant has been contributing with local employment and shows the high level of business opportunity of the banana products in the market of Tikapur (Kailali, Western Nepal).
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".