The Impact of Dark Triad Personality Traits and Gender on Whistleblowing Decisions

Phebe L. Davis et al.

Research on Professional Responsibility and Ethics in Accounting2023https://doi.org/10.1108/s1574-076520230000025004book-chapter
AJG 1ABDC B
Weight
0.63

What the paper says

Abstract Understanding whistleblowing behavior by identifying preferred reporting channels and associated personality characteristics can aid organizations in their attempts to encourage whistleblowing. The authors investigate whether both Dark Triad characteristics and gender affect whistleblowing intentions and whistleblowing channel preferences. Using a sample of undergraduate business students, the authors find individuals with higher levels of Dark Triad personality characteristics indicate that they are less likely to blow the whistle than individuals with lower levels of Dark Triad personality characteristics. They are also more likely to use non-anonymous channels over anonymous channels and individuals with lower levels of Dark Triad personality characteristics show the opposite channel preference. The authors also find women more likely to report, and when reporting, they prefer anonymous over non-anonymous channels. The results provide support for organizations in cultivating an organizational culture that promotes communication among employees and potentially includes incentives to promote whistleblowing.

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https://doi.org/https://doi.org/10.1108/s1574-076520230000025004

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@article{phebe2023,
  title        = {{The Impact of Dark Triad Personality Traits and Gender on Whistleblowing Decisions}},
  author       = {Phebe L. Davis et al.},
  journal      = {Research on Professional Responsibility and Ethics in Accounting},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.1108/s1574-076520230000025004},
}

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Evidence weight

0.63

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.70 × 0.4 = 0.28
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.