Consequences of work group manpower and expertise understaffing: A multilevel approach.
Bibliographic record
Abstract
Complaints of chronic understaffing in organizations have become common among workers as employers face increasing pressures to do more with less. Unfortunately, despite its prevalence, there is currently limited research in the literature regarding the nature of workplace understaffing and its consequences. Taking a multilevel approach, this study introduces a new multidimensional conceptualization of subjective work group understaffing, comprising of manpower and expertise understaffing, and examines both its performance and well-being consequences for individual workers (Study 1) and work groups (Study 2). Results show that the relationship between work group understaffing and individual and work group emotional exhaustion is mediated through quantitative workload and role ambiguity for both levels of analysis. Work group understaffing was also related to individual job performance, but not group performance, and this relationship was mediated by role ambiguity. Results were generally similar for the 2 dimensions of understaffing. Implications for theory and research and future research directions are discussed. (PsycINFO Database Record
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".