Employee engagement, organisational performance and individual well-being: exploring the evidence, developing the theory
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
The development of mainstream human resource management (HRM) theory has long been concerned with how people management can enhance performance outcomes. It is only very recently that interest has been shown in the parallel stream of research on the link between employee engagement and performance, bringing the two together to suggest that engagement may constitute the mechanism through which HRM practices impact individual and organisational performance. However, engagement has emerged as a contested construct, whose meaning is susceptible to ‘fixing, shrinking, stretching and bending’. It has furthermore not yet been scrutinised from a critical HRM perspective, nor have the societal and contextual implications of engagement within the domain of HRM been considered. We review the contribution of the seven articles in this special issue to the advancement of theory and evidence on employee engagement, and highlight areas where further research is needed to answer important questions in the emergent field that links HRM and engagement.
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 it