THE ROLE OF TOUR OPERATORS IN URBAN AND RURAL TOURISM DEVELOPMENT OF SARAJEVO CANTON
Bibliographic record
Abstract
The paper investigates the functional role of inbound tour operators in the urban and rural tourism development of Sarajevo Canton by analyzing relevant parameters such as their business dynamics and collaboration with stakeholders, products, the typology of tourists and stays, and the promotion and sustainability of the offerings. A survey and interviews were conducted with five inbound tour operators situated in the most prominent zone (Old Town with Baščaršija). The findings indicated a strong impact of the inbound tour operators on tourism spatial development, as they are pivotal in fostering stakeholders' collaboration and in marketing and selling local authentic products to international tourists. Their endeavors contribute to creating unforgettable tourist experiences in Sarajevo, particularly concerning city and dark tours, ecotourism, and crafts. Tourist products are disseminated through WOM, international fairs, and online platforms, targeting markets in the EU, the USA, and Canada. This approach enhances international cooperation and promotes the destination's tourism. Inbound tour operators exhibit a positive business trend, although there are notable disparities in the level of collaboration with stakeholders and the focus of policies. Certain areas of action have been overlooked, such as strategies to position Sarajevo as a primary choice and final destination, identifying new potential markets, and adopting a more analytical approach to tourist typologies for more tailored tourism offerings. The paper highlights the current features and challenges of the destination's tourism development, providing practical solutions for inbound tour operators and recommendations for redesign.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".