Aufsatz(elektronisch)11. Oktober 2018

Predicting career success: is the dark side of personality worth considering?

In: Journal of managerial psychology, Band 33, Heft 6, S. 437-456

Verfügbarkeit an Ihrem Standort wird überprüft

Abstract

Purpose
The purpose of this paper is to clarify whether the dark side of personality adds information beyond the bright side when predicting career success.


Design/methodology/approach
In total, 287 participants (150♀, Mage=37.74 and SDage=10.38) completed questionnaires on the Dark Triad (narcissism, Machiavellianism and psychopathy) and the Big Five (emotional stability, extraversion, openness, agreeableness and conscientiousness). They also provided information on their objective (salary and leadership position) and subjective (job satisfaction and satisfaction with income) career success. Regression analyses were used to estimate the Dark Triad's incremental predictive value.


Findings
The results show that the Dark Triad only provides incremental information beyond the Big Five when predicting salary (ΔR2=0.02*) and leadership position (ΔR2=0.04*). In contrast, the Dark Triad does not explain unique variance when predicting job satisfaction or satisfaction with income.


Research limitations/implications
The exclusive use of self-rated success criteria may increase the risk of same-source biases. Thus, future studies should include ratings derived from multiple perspectives.


Practical implications
Considering the Dark Triad in employee selection and development seems particularly promising in the context of competitive behaviour.


Social implications
The results are discussed in light of the socioanalytic theory. This may help to better understand behaviour in organisational contexts.


Originality/value
This study is the first that simultaneously investigates all three traits of the Dark Triad and the Big Five in combination with objective and subjective career success. In addition, it extends previous findings by answering the question of whether the Dark Triad offers incremental or redundant information to the Big Five when predicting success.

Sprachen

Englisch

Verlag

Emerald

ISSN: 1758-7778

DOI

10.1108/jmp-11-2017-0402

Problem melden

Wenn Sie Probleme mit dem Zugriff auf einen gefundenen Titel haben, können Sie sich über dieses Formular gern an uns wenden. Schreiben Sie uns hierüber auch gern, wenn Ihnen Fehler in der Titelanzeige aufgefallen sind.