A review of employee engagement: Empirical studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although many companies are modernizing by maximizing the use of technology, employee management remains an important topic, where employees are the creators of policies, procedures and business strategies. Having employees with high engagement is not easy for a company. So it is always interest to discuss the factors that influence employee engagement. This study aims to analyze the role of employee engagement as a discussion of human resource management, from Khan which focuses on the condition of human psychology, and how this view was developed in the following years by other researchers. This study uses literature study techniques using qualitative methods to describe the results in a narrative and aims to assist further research. The results showed that there was an increase in the engagement topic study. This proves that the management of human resources in an organization must be carried out with high flexibility, with regard to individual rights, by involving employees in organizational processes. Organizations will get high engagement from their employees if communication and relationships between employers and employees are done well, so that a positive perception is created. Engaged employees are an asset for the organization to achieve competitive advantage.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| 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