Impact of Psychological Resources on Employee Engagement: The Mediating Role of Positive Affect and Ego-Resilience
Bibliographic record
Abstract
The main purpose of this research is to examine the role of psychological resources in predicting the engagement of night shift employees. Specifically, it tests how resources like supportive organizational climate, family support, and self-efficacy could help employees stay engaged during night shift work. Additionally, this study explores the mediating role of positive affect and ego-resilience. The cross-sectional data collected from night shift employees ( n = 208) working full-time in Canada, the UK, and the US were collected over a period of 3 months. Results of the statistical analysis confirm the significant direct role of self-efficacy and supportive organizational climate in predicting employee engagement. Furthermore, the indirect role of such resources through the mediation of positive affect and ego-resilience was also found. The impact of family support on employee engagement appears significant only through mediators. The current study extends the existing understanding about the role of psychological resources in determining the engagement of night shift employees. It further adds to the literature by explaining mechanisms using positive affect and ego-resilience as mediators.
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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 | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".