Navigating Unprecedented Times: How Managers’ Empathetic Adjustments in a Crisis Influence Employee Effort in a Competitive Environment
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 When organizational crises arise, one way that managers can help employees cope is to provide empathetic adjustments, where managers adjust downward performance expectations for all employees while communicating the adjustment with empathy. In a competitive environment, we explore whether providing an empathetic adjustment to employees during a crisis affects their postcrisis effort. We conduct an experiment and observe that an empathetic adjustment significantly improves the postcrisis effort of top and bottom performers. The increase in postcrisis effort of top performers can be attributed to the effect of the adjustment, whereas the increase in postcrisis effort of bottom performers can be attributed to the effect of empathy. In a supplemental survey, we find a range of positive effects of empathetic adjustment, including increased engagement, reduced burnout, and lower turnover intentions. Data Availability: Data are available from the authors upon request. JEL Classifications: G31; G32; G33; M21.
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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 | 0.005 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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