The Internet and Small Hospitality Businesses: B&B Marketing in Canada
Bibliographic record
Abstract
This study examines small hospitality businesses - specifically Bed and Breakfasts (B&Bs)-to identify the underlying success factors in utilizing the Internet as a marketing tool in the tourism and hospitality sector. The results suggest that B&B owners are using the Internet as a low-cost method of increasing their customer base, especially from overseas markets. Success is closely related to online experience, the measurement of Web site efficiency, prompt responses to inquiries, making it easy for customers to make a reservation, the development of relationships with customers, customer adoption of technology, and the existence of online partners. However, the small business owners do not use the Web to its full advantage. Few used the Internet to solicit feedback from guests, and only half used it to build customer relationships or measure the efficiency of their sites. In addition, only a small number used a secure server for online bookings. © 2006 by The Haworth Press, Inc. All rights reserved.
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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 | 0.025 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".