1 Introduction
Senior managers play a fundamental role in organizations because they shape organizational strategy and culture. Organizations even mirror their senior managers’ personalities, values, and actions (Hambrick
2007). Senior managers explain 5 to 20 percent of the variance in a company’s outcomes (Crossland and Hambrick
2007), and this powerful effect has increased significantly over the last 40 years (Quigley and Hambrick
2015). Thus, senior manager personality is a crucial predictor of firm performance (Palmer et al.
2019a). So, “to understand why organizations do the things they do, or why they perform the way they do,
we must consider the biases and dispositions of their most powerful actors—their top executives” (Hambrick
2007, p. 334). Senior management commitment to the organization—defined as a volitional state that reflects a dedication to and responsibility for the organization (Klein et al.
2012, p. 131)—is then vital to its effective functioning, and appreciating the personality traits of senior managers is, therefore, of utmost importance. However, research on the relationship between executive personality and their commitment to organizations is surprisingly thin. Overlooking executives’ motivational states, like commitment, is equally problematic because these states are essential drivers of human behavior and performance (Meyer et al.
2002; Steyrer et al.
2008). Despite considerable importance, Steyrer et al. (
2008) proposed that organizational commitment is a missing link in leadership studies. Thus, unveiling personality antecedents of senior managers’ commitment is essential.
Research has focused mainly on the bright sides of personality traits and their positive effects on the firm (Miller
2015; Palmer et al.
2019b) to the point that so-called ‘dark’ traits are relatively understudied and misunderstood (Furtner et al.
2017; Palmer et al.
2019b,
2020). However, personalities are multifaceted (Miller
2015), and we should not neglect the murkier and thus negative sides of personality (Palmer et al.
2019b,
2020; Smith et al.
2018). Literature in psychology has increasingly explored the so-called
Dark Triad traits (for an overview, see Brownell et al.
2021; Hirschfeld and Van Scotter
2018; Marcus and Zeigler-Hill
2015). The
Dark Triad is a subclinical personality construct that incorporates the primarily negative personality constructs of narcissism, psychopathy, and Machiavellianism (Paulhus and Williams
2002). Self-promotion, status, dominance, prestige, and monetary aspects motivate those individuals scoring higher on the Dark Triad (Boddy
2006). This combination results,
prima facie, in socially undesirable behavioral tendencies (Jones and Paulhus
2014), an undesirable and interpersonally problematic behavioral style (Mutschmann et al.
2021; O'Boyle Jr et al.
2012; Piotrowski
2018), and an exploitative social strategy (Jonason and Webster
2010). For instance, the Dark Triad has been associated with selfish and short-term behavior (Jones and Paulhus
2014; Lee and Ashton
2005; Paulhus and Williams
2002). Nonetheless, individuals scoring highly on Dark Triad traits strive for and tend to hold
more senior management positions (Babiak et al.
2010; Landay et al.
2019; Ramo et al.
2018; Wales et al.
2013; Zhu and Chen
2015) than those not exhibiting such traits, because they fulfill their desire for status, power, and prestige. However, writings on the dark side of personality in the management and leadership context hypothesize that dark traits might, paradoxically, be
desirable and even
necessary for organizations (Brownell et al.
2021; Cragun et al.
2020; Volmer et al.
2016). Ames et al. (
2006) and Paunonen et al. (
2006) demonstrate that dark personalities have essential leadership skills as they are often charming and assertive. Taken together, these streams of research suggest that senior managers’ Dark Triad might have both dark and bright sides.
The self-affirmation theory (SAT) assumes that people behave in specific ways that strengthen their self-views (Cohen and Sherman
2014). Self-affirmation theory is a recursive system where outcomes affirm past behaviors leading an individual to strengthen those behaviors further (Mao et al.
2021b). Holding a senior position indicates prior high job performance, making those individuals feel more performant, which activates efforts to achieve even higher performance levels (Mao et al.
2021b). However, being in a position of power to give orders affirms one’s self-view of being an influential person, driving one to show more dominance (Chatterjee and Hambrick
2007). The question then is what consequences are there for organizational commitment by senior managers who experience self-affirmation of Dark Triad traits?
Organizational commitment is essential because it relates to critical organizational outcomes. These include turnover and performance (Gong et al.
2009; Steyrer et al.
2008), motivation and job satisfaction (Pool and Pool
2007), well-being, task performance, departure intentions and actual departure (Meyer et al.
2002; Riketta
2008), and identification with the organization (Eisenberger et al.
2010). An absence of organizational commitment is heralded by senior managers who follow
their course of action
and not that of the organization.
Cragun et al. (
2020) have recently suggested that research into Dark Triad traits needs fresh theoretical insights. Moreover, research is characterized by a lack of attention to executives’ commitment, focusing instead on the leadership–subordinate dyad and how senior managers’ leadership style and behavior affect
subordinates’ organizational commitment (Cragun et al.
2020; Landay et al.
2019; Kim et al.
2020). Research shows that personality as a disposition affects organizational commitment as a work-related outcome (Meyer et al.
2002; Panaccio and Vandenberghe
2012). Given the utmost importance of senior manager personalities and the potential harm that uncommitted managers can have, it is vital to determine the consequences for theory and practice of Dark Triad personalities on senior managers’ organizational commitment. Accordingly, we answer the following research question:
what effects do Dark Triad traits have on senior managers’ organizational commitment?
Using self-affirmation theory, we aim to unravel the bright and dark sides of senior managers’ Dark Triad personalities on organizational commitment. Following their desire for prestige, status, and power, Dark Triad personalities should not place a high premium on the organization, prioritizing their career path instead. Dark Triad personalities may exhibit little organizational commitment to the point where they are willing to leave when their interests are frustrated or cannot be furthered by the organization. Indeed, research suggests that narcissists will seek to strongly affirm their feelings of uniqueness and superiority (Mao et al.
2021b) through recognition and admiration (Back et al.
2013). This suggests that they need to engage in behaviors that are considered praiseworthy in the eyes of others to (re)affirm their self-views (Back et al.
2013; Campbell and Foster
2007; Mao et al.
2021b). Elsewhere, Machiavellians often break the rules (Litvin
2019), acting as antiheroes (Wright
2015) for causes; they are ultimate ends-oriented, capable of performing highly and committed to their cause. Therefore, we explore whether organizational commitment results from Dark Triad senior managers’ self-affirmation tendencies.
Our study is based on data collected from a survey of 394 French senior managers in small and medium-sized enterprises (SMEs) from different activity sectors. It empirically investigates the effects of dark personality traits on executive commitment as a vital work outcome. We go beyond the standard narrative that dark traits are always detrimental for organizations. Instead, we show that Dark Triad personalities have dark and bright consequences for organizational commitment. Thus, these leaders can have a stable and healthy organizational commitment despite their personalities. Our study contributes to advancing our understanding of the threats and benefits of senior managers’ Dark Triad in organizations shedding light on “healthy” and “toxic” forms of senior managers’ organizational commitment. Guided by self-affirmation theory, we contribute to resolving the purely agentic view of the Dark Triad and its effect on organizational commitment.
4 Results
We first assessed the measurement scales’ convergent validity, discriminant validity, and reliability. A confirmatory factor analysis verified the factor structure of the reflective constructs. Table
2 shows adequate convergent validity as all items load onto their corresponding constructs with values exceeding 0.60 (Hair et al.
2010). As shown in Table
2, all item loadings are significant (t-values exceed 1.96, and zero is not a part of the confidence interval), which supports the convergent validity of the measurement scales.
Table 2
Item loadings and statistics
AC | | | | | | | |
AC1 | 3.737 | 1.037 | 0.748 | 0.123 | 3.109 | 0.067 | 0.658 |
AC2 | 3.422 | 1.219 | 0.825 | 0.103 | 3.482 | 0.184 | 0.586 |
AC3 | 3.443 | 1.326 | 0.862 | 0.077 | 6.290 | 0.294 | 0.719 |
CC | | | | | | | |
CC1 | 2.575 | 1.354 | 0.813 | 0.071 | 4.340 | 0.165 | 0.489 |
CC2 | 2.395 | 1.361 | 0.859 | 0.064 | 6.133 | 0.305 | 0.597 |
CC3 | 2.397 | 1.274 | 0.827 | 0.085 | 3.439 | 0.095 | 0.422 |
CC4 | 2.396 | 1.080 | 0.693 | 0.070 | 3.569 | 0.067 | 0.443 |
NC | | | | | | | |
NC1 | 2.413 | 1.220 | 0.689 | 0.033 | 4.976 | 0.085 | 0.232 |
NC2 | 2.258 | 1.271 | 0.830 | 0.026 | 10.219 | 0.222 | 0.352 |
NC3 | 2.494 | 1.196 | 0.803 | 0.028 | 9.945 | 0.207 | 0.340 |
NC4 | 2.395 | 1.196 | 0.793 | 0.025 | 11.684 | 0.233 | 0.334 |
NC5 | 2.789 | 1.150 | 0.748 | 0.030 | 9.410 | 0.224 | 0.349 |
MAC | | | | | | | |
MAC1 | 1.886 | 0.992 | 0.826 | 0.020 | 13.998 | 0.229 | 0.324 |
MAC2 | 1.569 | 0.820 | 0.775 | 0.023 | 12.055 | 0.225 | 0.334 |
MAC3 | 2.165 | 1.069 | 0.808 | 0.022 | 12.904 | 0.233 | 0.336 |
MAC4 | 1.845 | 0.979 | 0.868 | 0.020 | 18.788 | 0.333 | 0.415 |
PSY | | | | | | | |
PSY1 | 1.952 | 1.059 | 0.640 | 0.044 | 5.414 | 0.137 | 0.339 |
PSY2 | 1.406 | 0.728 | 0.834 | 0.041 | 10.639 | 0.355 | 0.538 |
PSY3 | 1.505 | 0.813 | 0.776 | 0.039 | 8.139 | 0.206 | 0.382 |
PSY4 | 1.693 | 0.937 | 0.728 | 0.043 | 7.739 | 0.249 | 0.431 |
NAR | | | | | | | |
NAR1 | 2.437 | 1.103 | 0.833 | 0.023 | 11.332 | 0.204 | 0.312 |
NAR2 | 2.594 | 1.100 | 0.794 | 0.021 | 12.983 | 0.234 | 0.325 |
NAR3 | 2.579 | 1.149 | 0.827 | 0.021 | 15.802 | 0.290 | 0.384 |
NAR4 | 1.927 | 0.950 | 0.811 | 0.028 | 12.987 | 0.289 | 0.421 |
Our results also show good discriminant validity because the square root of AVE values are larger than the correlations between the construct and all other constructs in Table
3 (Fornell and Larcker
1981). Table
3 reports adequate reliability because all Cronbach’s alpha (α) and Rho values (ρ) exceed the recommended threshold of 0.70 (Jöreskog
1971; Nunnally
1978).
Table 3
Discriminant validity and reliability
AC | 0.744 | 0.855 | 0.813 | | | | | |
CC | 0.813 | 0.877 | −0.002 | 0.800 | | | | |
NC | 0.834 | 0.883 | 0.206 | 0.364 | 0.774 | | | |
MAC | 0.838 | 0.892 | −0.070 | 0.066 | 0.174 | 0.820 | | |
PSY | 0.739 | 0.836 | −0.119 | 0.088 | 0.112 | 0.559 | 0.748 | |
NAR | 0.835 | 0.890 | −0.118 | 0.094 | 0.226 | 0.525 | 0.327 | 0.817 |
Further, we tested for multicollinearity issues and common method bias (CMB: Podsakoff et al.
2003). The results show that the inflation variance factor (VIF) for each variable (VIF
AC = 1.094; VIF
CC = 1.164; VIF
NC = 1.293; VIF
MAC = 1.804; VIF
PSY = 1.475; VIF
NAR = 1.445) is below the threshold of 3, indicating that multicollinearity is not an issue in this study (Diamantopoulos and Siguaw
2006).
We also tested for CMB using Harman’s (
1976) one-factor test to separate the artifactual covariance possible in self-reported data (Podsakoff et al.
2003). The results suggest that CMB is not a problem since the first factor only accounts for 23.61% of the variance (far less than 50%). We also controlled for CMB using the unmeasured common latent method (Podsakoff et al.
2003). The results support the absence of CMB and the validity of our measures. Finally, we tested our hypotheses with the total dataset of 394 senior managers. Table
4 contains our regression results.
Table 4
Main regression results
Constant | −0.236 (0.208) | −0.293 (0.209) | −0.378 (0.205) | −0.310*** (0.206) | −0.096 (0.194) | −0.023 (0.193) |
Age | 0.137** (0.004) | 0.124* (0.004) | 0.203 (0.004) | 0.221*** (0.004) | −0.046 (0.004) | −0.023 (0.004) |
Gender | −0.059 (0.100) | −0.029 (0.104) | −0.078 (0.099) | −0.117* (0.102) | 0.038 (0.094) | −0.009 (0.095) |
Machiavellianism (MAC) | | 0.041 (0.068) | | −0.008 (0.067) | | 0.074 (0.063) |
Psychopathy (PSY) | | −0.111 (0.063) | | 0.079 (0.062) | | 0.004 (0.058) |
Narcissism (NAR) | | −0.075 (0.059) | | 0.127* (0.058) | | 0.179** (0.054) |
R2 | 0.021* | 0.037* | 0.044*** | 0.070*** | 0.003 | 0.052** |
ΔR2 | | 0.016 | | 0.025* | | 0.049*** |
X-square | 8.140 | 14.369 | 17.431 | 27.439 | 1.114 | 17.649 |
p value | 0.017 | 0.013 | 0.000 | 0.000 | 0.524 | 0.001 |
The results show that two hypotheses (H2b and H2c) are supported. Narcissism has a positive effect on continuance commitment (H2b: β = 0.127;
p = 0.027) and normative commitment (H2c: β = 0.179;
p = 0.002). We observe a significant change in variance (ΔR
2), i.e., 2.5% (CC) and 4.9% (NC), compared to models with control variables (age and gender). The overall model explains 7% in the variance of continuance commitment and 5.2% in the variance of normative commitment. To determine the approximate model fit in PLS, we generated the standardized root mean square residual (SRMR) for each model as Henseler et al. (
2016) recommend. The results yield SRMR values of 0.06 (< 0.08), indicating adequate fit (Hu and Bentler
1999).
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