The Preferred Work Paradigm for Generation Y in the Hotel Industry: A Case Study of the International Tourism and Hospitality International Programme, Thailand
Bibliographic record
Abstract
It is well known that hospitality work is physically demanding and involves mental stress and, at times, an un-competitive compensation package. This has resulted in a high employee turnover rate in recent years. Staff retention is thus a challenge, especially for employees belonging to Generation Y (Gen Y). The situation in Thailand is not different, especially with respect to Gen Y. This article aims to identify the ideas and perceptions held by Gen Y undergraduates who are currently being educated in the field of tourism and hospitality and whose education will possibly lead them Gen to seek long-term employment in the hotel industry. In order to identify the influential factors, the researchers aim to obtain maximum information, views and thoughts from research purposive respondents in this study; thus, qualitative research using an inductive approach involving a focus group discussion methodology was selected. 66 Gen Y students who are studying the Tourism and Hospitality Management programme from the first International College in Thailand participated in this study. The results suggest that Gen Y students share similar views on the influential factors to work effectively. They identified five key factors: effective leaders, a friendly environment, good pay and benefits, a flexible policy and culture and great facilities. The result details allow an understanding of the conditions and requirements for practitioners and researchers who are interested in studying Gen Y in the hotel industry.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".