Employee motivation profiles, energy levels, and approaches to sustaining energy: A two-wave latent-profile analysis

2021 ◽  
pp. 103659
Author(s):  
Stacey L. Parker ◽  
Niamh Dawson ◽  
Anja van den Broeck ◽  
Sabine Sonnentag ◽  
Andrew Neal
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Julie Levesque-Côté ◽  
Claude Fernet ◽  
Alexandre J.S. Morin ◽  
Stéphanie Austin

PurposeAlthough one of the central premises of authentic leadership theory is that authentic leaders mobilize their followers, the underlying motivational mechanisms of this process remain poorly understood. Drawing on self-determination theory, this study aims to fill that gap by examining authentic leadership practices (ALP) as theoretical antecedents of employees' motivation profiles.Design/methodology/approachLatent profile analyses conducted on a sample of 501 employees revealed four profiles: self-determined, unmotivated, highly motivated and moderately motivated.FindingsALP were associated with a higher likelihood of membership into the most adaptive motivation profiles. Employees in these profiles displayed more optimal job functioning: higher organizational commitment and performance, and lower intentions to leave their organization.Originality/valueThese findings underscore the predictive power of autonomous motivation for employee functioning and provide new insights into how ALP can improve work motivation, and hence job functioning. Our results account not only for how ALP affects the complete range of behavioral regulations at work but also the different patterns in which these regulations combine within employees.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Irene R. R. Lu ◽  
Ernest Kwan ◽  
Louise A. Heslop ◽  
Francois Brouard ◽  
Diane A. Isabelle

Abstract The development of entrepreneurship education (EE) has become a top priority for many universities around the world. Accordingly, the objectives of this paper are to identify motivation profiles of university business students, to determine how profile membership predicts students’ entrepreneurial intention and interest to study entrepreneurship, and to identify predictors of membership in these motivation profiles. To achieve these objectives, our method entails the application of self-determination theory (SDT) in a person-centered analysis. Our study is, in fact, the first application of the full range of motivations from SDT to define students’ entrepreneurial motivations; furthermore, we use latent profile analysis to identify groups of students that can be distinguished according to these motivations. We discover four groups of students: 1) uniformly lowly motivated, 2) indifferent, 3) conflicted, and 4) uniformly highly and intrinsically motivated. We find that students in these groups differ with regard to their interest to study entrepreneurship and their intention to be entrepreneurs. We also identify psychological traits and background factors that could explain the group membership. We discuss the implications of these findings on the promotion and delivery of EE, and on how students may be motivated to become entrepreneurs.


2019 ◽  
Vol 146 ◽  
pp. 76-86 ◽  
Author(s):  
István Tóth-Király ◽  
Robert J. Vallerand ◽  
Beáta Bőthe ◽  
Adrien Rigó ◽  
Gábor Orosz

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