Promoting employee career growth: the benefits of sustainable human resource management
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
To achieve sustainable development, research has indicated that organizations and individuals should be aware of the significance of sustainable human resource management (HRM) practices. However, relatively little research has investigated individual outcomes. This study links sustainable HRM practices with an important individual outcome: career growth. Using social cognitive career theory, this study investigated psychological capital and career growth as beneficial outcomes of sustainable HRM practices, proposing person–organization (P‐O) fit as a key boundary condition. Based on time‐lagged survey data collected from a Chinese company, the study found that sustainable HRM practices could significantly promote psychological capital and career growth. Moreover, P‐O fit magnified the beneficial impact of sustainable HRM practices on psychological capital while further moderating the mediating effect of psychological capital. When P‐O fit was high, the effects of sustainable HRM practices on psychological capital and career growth were stronger. In addition, we discussed theoretical contributions and practical implications.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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