An Empirical Study about the Impact of Work-family Conflict on Female Staff’s Career Development in Hotels
Bibliographic record
Abstract
Hotel industry is a labor-intensive industry for women and the proportion of women in the hotel industry is large while the number of women managers has also increased. However, the traditional gender, social support and work-family conflict and other various factors make the career development of women managers in hotels relatively more resistance. Work-family conflict has significant impacts on both work and family. Therefore, the paper chose the female middle managers in hotels as the research object, and used literature research and questionnaire method to gather data. Then, the reliability of scales was measured by SPSS19.0, and we performed the principal component analysis to measure the reliability of variables.After that, we conducted variance analysis to clarify the different stages of work and family lives as well as different departments whether have different influences on female middle managers. The paper analyzed the objective existence of universality, causes and the effects of work-family conflict for female middle managers in hotels. On this basis, the paper proposed some ways to ease the work-family conflict, such as implementing flexible management to weaken the time conflict, paying attention to females’ demands and take the mission of helping employees to achieve a balance, and designing family supporting programs for female managers to promote female advantages of middle managers, to promote the development of hotel female human resources and alleviate the negative impact of work-family conflict on female managers’ career development.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".