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
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Energy Levels ◽  
Employee Motivation ◽  
Motivation Profiles ◽  
Latent Profile

On the motivational nature of authentic leadership practices: a latent profile analysis based on self-determination theory

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Julie Levesque-Côté ◽  
Claude Fernet ◽  
Alexandre J.S. Morin ◽  
Stéphanie Austin
Keyword(s):  
Leadership Practices ◽  
Authentic Leadership ◽  
Latent Profile Analysis ◽  
Work Motivation ◽  
Profile Analysis ◽  
Self Determination Theory ◽  
Self Determination ◽  
Content Type ◽  
Motivation Profiles ◽  
Latent Profile

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.

Entrepreneurial Motivation in University Business Students: A Latent Profile Analysis based on Self-determination Theory

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Irene R. R. Lu ◽  
Ernest Kwan ◽  
Louise A. Heslop ◽  
Francois Brouard ◽  
Diane A. Isabelle
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Business Students ◽  
Full Range ◽  
Self Determination Theory ◽  
Entrepreneurial Intention ◽  
Self Determination ◽  
Psychological Traits ◽  
Motivation Profiles ◽  
Latent Profile

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.

Examining sexual motivation profiles and their correlates using latent profile analysis

2019 ◽  
Vol 146 ◽  
pp. 76-86 ◽  
Author(s):  
István Tóth-Király ◽  
Robert J. Vallerand ◽  
Beáta Bőthe ◽  
Adrien Rigó ◽  
Gábor Orosz
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Sexual Motivation ◽  
Motivation Profiles ◽  
Latent Profile
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