Social media usage in hotel human resources: recruitment, hiring and communication
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – The purpose of this study is to explore the use and non-use of social media (SM) by North American hotels for human resource (HR) activities. Design/methodology/approach – This exploratory study used an online survey and a sampling frame of 1,711 North American hotels with 300 or more rooms, excluding economy properties. With a response rate of 17.1 per cent and a defined population, data were weighted to reflect the midscale, upscale and luxury market classes. Findings – Slightly more than half of North American hotels use SM for HR activities. Higher service level hotels are related to SM HR use generally; midscale properties report higher usage for internal communication. Use of SM in hotel HR is more focused on marketing versus recruitment activities. Research limitations/implications – The generalizability and, therefore, implications are limited to North American hotels, midscale or higher with 300 or more rooms. Future research should complement this broad-based study by delving more deeply into rationale for HR communication over hiring functions for SM and its overall adoption for HR in the hospitality industry. Practical implications – This study provides an understanding of how SM is being used and its perceived usefulness across a variety of HR activities. The findings will inform the application of SM for hotel HR purposes. Originality/value – This is the first empirical study about SM and HR practices in the North American hotel industry.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it