CEO’s Dark Triad Personality Traits and Their Effect on Ambidexterity in SMEs
Bibliographic record
Abstract
Bridging entrepreneurship and organizational behavior, we hypothesize that involvement in ambidextrous activities within small or medium-sized enterprises (SMEs) is influenced by the dark triad personality traits (narcissism, psychopathy, and Machiavellianism) of the respective chief executive officers (CEOs). The existing body of research has indeed overlooked the influence of the CEO’s psychological characteristics. Using a sample of 385 SMEs from the United Kingdom, the United States, Ireland, Canada, New Zealand, and Australia, our research findings reveal CEO narcissism has positive influence on ambidexterity. In contrast to our hypotheses, our findings fail to establish a significant correlation between CEO Machiavellianism and ambidexterity, as well as CEO psychopathy and ambidexterity. The findings of this research hold important implications for our understanding of how CEOs' personality traits influence ambidexterity within SMEs.
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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 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".