An Application of the Stakeholder Theory and Proactive-Reactive Disaster Management Principles to Study Climate Trends, Disaster Impacts, and Strategies for the Resilient Tourism Industry in Pokhara, Nepal
Bibliographic record
Abstract
This research investigates climate trends, disaster impacts, and the tourism and hospitality industry in Pokhara, Nepal by employing the stakeholder theory and proactive-reactive disaster management principles.A mixed-methods approach assessed geospatial climate trends, past disaster impacts, and future risks.Quantitative data collected from 150 hospitality enterprises via a structured questionnaire and qualitative data from key informants were analyzed using trend tests, multinomial and probit regressions, and thematic analysis.The results indicate climatic disasters as a major threat to the industry, impacting local economies and the revenue of enterprises.Managerial awareness of sustainable practices and enterprise size influence disaster experiences and preparedness.The findings underscore the roles of stakeholder perspectives, green technologies, education, and enterprise size in enhancing disaster preparedness and long-term resilience.Further research should strive to translate sustainability awareness into actionable disaster preparedness recommendations for stakeholders.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".