Employee engagement and task performance in state‐owned enterprises in developing countries: The case study of the power sector in Ghana
Why this work is in the frame
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Bibliographic record
Abstract
A growing number of studies prove a relationship between employee engagement (EE) and performance. Unfortunately, almost all originate in the developed world; the few that look at developing countries, including their public sectors, have focused more on the civil service and agencies, and neglect state‐owned enterprises (SOEs), despite their importance for delivery of public services. The purpose of this paper is to examine the impact of EE on task performance in SOEs in developing countries, with particular reference to Ghana. We purposively selected SOEs in the power sector and quantitatively surveyed their employees. We employed regression analysis to examine the link between EE and employee task performance. Our study, like those before it, shows that EE has a positive and significant effect on employee task performance. Our findings further suggest that for SOEs to achieve their targets with employees' performance, appropriate strategies should be adopted to ensure that employees are highly engaged.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it