Corporate psychopathy: deviant workplace behaviour and toxic leaders (part two)
Bibliographic record
Abstract
Purpose – Increasingly, it is recognized that (larger) organizations have many employees who present with corporate psychopathy (i.e. a milder version of anti-social personality disorder). Importantly, such a disorder contributes to the presence of deviant workplace behavior. Organizations must therefore adapt its practices to both identify and manage employees who either present with, or have tendencies toward, corporate psychopathy. As a means of developing a guiding framework for organizational adaptation, this two part paper offers two reviews of relevant research. The first revolves around the body of knowledge regarding corporate psychopathy and the primary, established behavioral method of identifying its presence; the second is a brief review on physiological measures that can complement current gold standards. The paper aims to discuss these issues. Design/methodology/approach – A range of published empirical and practitioner research articles were reviewed to first, elaborate on anti-social personality disorder and corporate psychopathy; second, showcase the efficacy of the currently most accepted method of detecting psychopathic behavior – the Psychopathy Checklist (PCL); and third, highlight physiological methods of detecting psychopathic tendencies which may complement usage of the PCL – electroencephalography, measurement of galvanic skin responses, and electromyography. Findings – First, deviant workplace behaviors cause losses of billions of dollars across all business organizations, and much of this behavior stems from corporate psychopaths in positions of leadership. Second, the PCL, while useful, can nonetheless yield sharp differences in the identification of psychopathy across different administrators of the test. Third, measures of physiological states show good reliability in discriminating psychopathic persons from non-psychopathic persons. Based on these findings, the authors propose guidelines for how to identify and mitigate the effects of corporate psychopathy for organizations. Research limitations/implications – The proposed guidelines must be tested in an empirical paper to measure their effectiveness. Practical implications – The paper suggests an overall framework that may help leaders and organizational development practitioners identify the major factors which may be considered to safeguard against the potentially detrimental conduct of corporate psychopaths in their organizations. Social implications – This paper highlights the need to identify and ward against the presence of corporate psychopaths. There needs to be guidelines for organizations on how to identify and mitigate the effects of corporate psychopathy for organizations. Originality/value – The suggestion of integrating physiological methods of detection with the PCL, as well as urging pro-active education of all employees as the symptoms and effects of corporate psychopathy, is the novel contribution of the paper.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".