160 employee survey responses from multiple UAE sectors analyze burnout, work engagement, and well-being through the Job Demands–Resources framework. Data was collected by Nunna Venkata Prasad and last updated in May 2026. The 32.3 KB Excel file supports analysis of job demands, resources, and personal factors.
Use Cases
- Modeling burnout drivers based on job demands and personal factors mentioned in the description.
- Analyzing work engagement predictors using the Job Demands–Resources framework.
- Evaluating HR policy implications from survey findings on UAE workforce well-being.
- Comparing well-being outcomes across different organizational sectors in the UAE.
Strengths
- Data is openly licensed under CC-BY-4.0.
- The study applies a specific theoretical framework (JD-R) to a defined geographic context (UAE).
- Analysis was performed using PLS-SEM, a method suitable for small sample sizes and complex models.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is very small at 32.3 KB, indicating limited scope.
Provenance
- Source
- Nunna Venkata Prasad via figshare
- Collection Method
- Survey data from 160 employees across multiple sectors, analyzed with PLS-SEM.
- Freshness
- Last updated 2026-05-29 06:52:59; freshness should be verified.
- Geography
- United Arab Emirates (UAE)