Date of Award
10-11-2024
Publication Type
Thesis
Degree Name
M.A.
Department
Psychology
Keywords
Dark Tetrad;Influence Tactics;Light Triad;Psychological Safety
Supervisor
Catherine Kwantes
Abstract
Supervisory personality traits and the use of certain Influence Tactics play a crucial role in shaping workplace dynamics, particularly with employee Perception of Psychological Safety (Tepper, 2000). While previous research has extensively explored the effects of these traits, the distinct impact of Dark Tetrad traits and Light Triad traits on Influence Tactics, and employee Perception of Psychological Safety remains underexplored. This study investigates the relationship between supervisory traits and Influence Tactics and employees' Perception of Psychological Safety. Using data from 152 participants recruited through MTurk, the research employs SEM to test the proposed relationships. The data offered a good fit for the proposed model, confirming the proposed model. However, the results indicate that whereas Dark Tetrad and Light Triad traits are associated with the use of Influence Tactics, their direct impact on Perception of Psychological Safety was not statistically significant. Additionally, exploratory analyses revealed significant correlations between both Dark Tetrad and Light Triad traits and the use of hard and soft Influence Tactics, highlighting the complex interplay between personality traits and leadership behaviours. The research contributes to the field of industrial-organizational psychology by emphasizing the importance of considering personality traits in leadership development. The findings underscore the need for further research to explore the moderating factors that affect the relationship between supervisory traits and workplace outcomes, with implications for improving leadership practices and employee retention.
Recommended Citation
Soleimani, Mahshid, "Dark and light personality traits behind influence tactics: Exploring their impact on employee psychological (un)safety in the workplace." (2024). Electronic Theses and Dissertations. 9572.
https://scholar.uwindsor.ca/etd/9572