Trends and sustainability in the Canadian tourism and hospitality industry
Bibliographic record
Abstract
Purpose This paper aims to address the key sustainability issues in Canada's tourism and hospitality industry. Design/methodology/approach The foundation for this paper was laid during a well attended Worldwide Hospitality and Tourism Themes (WHATT) roundtable discussion between industry leaders and hospitality educators in May 2012. Findings The paper provides valuable information on the concept of sustainable development and outlines key sustainability issues and trends in the Canadian tourism and hospitality industry. The umbrella organization for the hotel industry in Canada, the Hotel Association of Canada (HAC), collaborates with key stakeholders to find innovative and sustainable solutions to challenges the industry is facing. Top future trends are captured in the conclusion. Practical implications As the team of authors includes the president of the Hotel Association of Canada and a partner/Canada's national leader of the sustainability practice in the world's largest consulting firm, this paper will be of immense value to students, educators, researchers and industry leaders. Supports two innovative economic options to boost Canada's tourism marketing – reinvesting a portion of international visitor's GST and charging an international visitor arrival levy. Originality/value The paper draws on sustainability theories and best practices in Canada to explain the role of innovation in facing challenges in the tourism and hospitality industry in Canada. As the team of authors represents both the industry and academia, this paper will be of immense value to students, educators, and researchers, as well as practitioners.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".