Navigating the Workplace Cyberbully Maze: Climate, Dark Triad Personality, and Victim’s Reactions
Bibliographic record
Abstract
Building upon the foundations of Stress as Offence to Self (SOS) theory, this study delves into the intricate three-way interaction of workplace cyberbullying (WCB), caring climate (CC), and dark triad personality (DTP) in relation to employees' knowledge sabotage behaviors and psychological strain. Through a three-wave data collection effort, we garnered responses from 257 employees spanning various sections in the USA and Canada. Our analysis indicates that WCB significantly exacerbates tendencies for knowledge sabotage and induces psychological strain among employees. This effect is particularly pronounced when the organization’s caring climate is robust and when the individual exhibits high Dark Triad Personality traits. Notably, the link between cyberbullying and knowledge sabotage is the most potent when both caring climate and DTP are elevated. By unmasking the moderating effects of both a situational factor (caring climate) and a dispositional trait (DTP), our research augments the understanding of dark OB literature, elucidating the specific contexts and conditions that amplify the negative ramifications of WCB for its victims.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".