Knowledge sharing and quality assurance in hospitality and tourism
Bibliographic record
Abstract
\n\t\t\t\t\tLearn both theory and practice of knowledge management. Sir Francis Bacon once wrote, "Knowledge is power." Knowledge Sharing and Quality Assurance in Hospitality and Tourism provides strategies to grab that power and the competitive edge in the tourism industry through knowledge management (KM) and quality assurance. Leading tourism and hospitality experts offer the latest theory and practical frameworks to expand the knowledge needed for creating and maintaining success at destinations around the world. Each cogent chapter provides fresh directions for future research and the creation of effective ways to share and use knowledge. As the tourism and hospitality industry expands, the competition increases as the search continues for ways to ensure quality, know the consumer, and discover the best standards of destination operation. Knowledge Sharing and Quality Assurance in Hospitality and Tourism is a unique foundational text that clearly explains the theory and practical management of knowledge in this lucrative, very competitive industry. Knowledge theory is used to explore organizational functioning, change issues, and operations at destinations in industry clusters and networks. Chapters are extensively referenced. Topics in Knowledge Sharing and Quality Assurance in Hospitality and Tourism include: • the role of higher education in transferring knowledge into practice. • four kinds of benchmarking. • e-mail response quality. • quality management at the destination level and its path to knowledge sharing. • tourism managers knowledge needs-the knowledge type, where the knowledge is available, and sharing that knowledge between academics and the industry. • strategic planning in knowledge management. • three element framework of knowledge management assessment. • a case study of an international tourism project and the use of knowledge management. • a case study of best practice in tourism research dissemination in Quebec and Queensland. Knowledge Sharing and Quality Assurance in Hospitality and Tourism is crucial, idea-sparking reading perfect for tourism researchers, tourism managers, administrators, educators, and students.\n\t\t\t\t
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".