Cultural diversity and work engagement in nursing: A qualitative case study analysis
Bibliographic record
Abstract
Objective: This study highlights the importance of understanding the impact of cultural diversity on work engagement in Saudi Arabia. Nurse leaders are appointed the challenging task of maintaining and promoting state-of-the art, work engagement efforts within hospitals that differ in structure, ownership, the various generations of nurses and their cultural diversity.Methods: The study utilized an inductive, interpretive, and explanatory multiple case study interview design of 16 nurses across 8 hospitals in Saudi Arabia.Results: We identified three main themes: family values and background, diverse personal culture and perceived organizational microclimate.Conclusions: This study showed that cultural differences between Saudi and expatriates nurses had an impact on work engagement. These findings are generalizable to other countries that rely heavily on immigrant nurse workers to fill the shortage. The findings from this study will create awareness of cultural interaction among nurses and its impact on nursing practice as the country transitions through a women empowerment movement while attaining Saudi’s “Vision 2030”.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".