Delivering bad news fairly: The influence of core self-evaluations and anxiety for the enactment of interpersonal justice
Bibliographic record
Abstract
What motivates managers to deliver bad news in a just manner and why do some managers fail to treat recipients of bad news with dignity and respect? Given the importance of delivering bad news in a just manner, answering these questions is critical to promote justice in the workplace. Drawing on appraisal theories of emotions, we propose that people with higher core self-evaluations may be less likely to deliver bad news in an interpersonally just manner. This is because these actors are more likely to appraise the delivery of bad news as a situation in which they have high coping potential and are therefore less likely to experience anxiety. However, we propose that anxiety can be important for propelling the enactment of interpersonal justice. We test our predictions across three studies (with four samples of full-time managers and employees). Theoretical and practical contributions include enhancing our understanding of who is motivated to enact interpersonal justice, why they are motivated to do so, and how to enhance justice in the workplace. Our findings also challenge the assumption that negative emotions are necessarily dysfunctional for the enactment of interpersonal justice and instead highlight the facilitative role of anxiety in this context.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".