The Dark Triad of Personality and its Relationship to Leadership, Management, Team Work and Influencing Behaviours, and 360 Degree Assessments of Satisfaction
Bibliographic record
Abstract
The ‘Dark Triad’ refers to three socially-aversive personalities, namely, Machiavellianism, narcissism and psychopathy. Previous research shows both how such behaviours can be both counter-productive and advantageous. However, there is little on how the Dark Triad is linked to specific workplace behaviours. This article fills this gap by looking at the relationship between measures of the Dark Triad and self-assessments of leadership, management, team working and influencing behaviours, as well as with 360 degree assessments of such behaviours. It identifies particular behaviours that are used by each of the three personality types, along with 360 degree assessments of such behaviours. Given that the Dark Triad exists and that it has implications for the workplace behaviours, organisations have to deal with such behaviours. The article ends by considering the practical implications of the research findings, including issues around selection and placement, team composition and training and development. Finally, it suggests areas for further research.
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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 | 0.009 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".