Sustainable Tourism from an Entrepreneurship Perspective: Systematic Literature Review
Bibliographic record
Abstract
Tourism is one of the largest and fastest-growing industries globally.Despite its significant contributions to economic development, the tourism industry's growth-oriented approach has faced increasing criticism due to its environmental impacts.This study aims to provide a comprehensive quantitative and qualitative overview of existing research on the intersection of entrepreneurship and sustainable tourism by employing a Systematic Literature Review (SLR) methodology.Data were collected from the Scopus database and analyzed using various units of analysis, including variable relationships, authorship patterns, journal sources, citation metrics, countries of origin, and key research findings.The results reveal that communitybased tourism plays a pivotal role in linking entrepreneurship with sustainable tourism.It does so by actively involving local communities in decision-making processes, product development, and destination marketing.Such involvement not only delivers economic benefits but also aligns tourism initiatives with local values, enhances community ownership, and supports long-term sustainability.Moreover, community-based tourism fosters innovation through the application of indigenous knowledge and enhances destination appeal by showcasing local culture.
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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 | 0.016 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.023 | 0.018 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".