The effects of downsizing on labor productivity: The value of showing consideration for employees' morale and welfare in high‐performance work systems
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
Abstract Although downsizing remains a topic of great interest to scholars and practitioners, little research has examined the link between the process and organizational performance. The current study examines whether organizations showing greater consideration for employees' morale and welfare in the downsizing process experience increased labor productivity. Further, because downsizing diminishes human capital and interferes with an organization's social exchange relationships, we posit that attention to employees' morale and welfare will be particularly important for high‐performance work systems (HPWS) that rely on human capital for competitive advantage. We tested our hypothesis with a sample of organizations that had downsized using survey data matched with secondary data. Results support our prediction that organizations with more extensive HPWS can reduce productivity losses from downsizing by heightening their consideration for employees' morale and welfare. We discuss the implications of these findings. © 2011 Wiley Periodicals, Inc.
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 | 0.000 | 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 | 0.000 |
| 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