EMPLOYEES’ PERFORMANCE, WORK ORGANIZATION CONDITIONS AND HUMAN RESOURCE MANAGEMENT PRACTICES IN THE ERA OF CRISIS: THE ROLE OF EMOTIONAL EXHAUSTION AND ORGANIZATIONAL COMMUNICATION
Bibliographic record
Abstract
Job performance during a period of crisis as intense as COVID-19 can be challenging for employees. Besides the risk that this pandemic represented for their physical health and their life, they were also at high risk of emotional exhaustion, which can jeopardize their performance. We examine the direct and indirect effects of work organization conditions and human resource management practices on emotional exhaustion and job performance during COVID-19. We also analyze the moderating and the moderated mediation effects of organizational communication. Data were collected during COVID-19 in Canada within 13 companies from a sample of 146 employees. The results revealed that workload was associated with a higher level of emotional exhaustion. Organizational communication was associated with a lower level of emotional exhaustion. Organizational support was associated with a higher level of job performance. Organizational communication moderated the relationship between job insecurity and emotional exhaustion.
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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 | 0.001 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".