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

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.

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.


Author(s):  
David Sánchez-Oliva ◽  
Antonio L. Palmeira ◽  
Eliana V. Carraça ◽  
Pedro J. Teixeira ◽  
David Markland ◽  
...  

Background: Using self-determination theory as a framework, the aim of this study was 2-fold: (1) identify different profiles of motivational strategies used by exercise professionals and (2) examine associations of these motivational profiles with work-related variables: measures, perceived job pressures, need satisfaction/frustration, and perceived exercisers’ motivation. Methods: Participants were 366 exercise professionals (193 males; experience = 7.7 [5.8] y) currently working in health and fitness settings. Results: Latent profile analysis identified a 3-profile model: (1) most need-supportive and least controlling (NS+; n = 225), (2) less need-supportive and slightly controlling (NS−; n = 42), and (3) most controlling and slightly need-supportive (mixed; n = 99). Professionals working less than 20 hours per week, more experienced, and female were more likely to integrate NS+, which was also associated with higher levels of work-related need satisfaction and clients’ perceived self-determination, and lower levels of job pressures and need-frustration. Conversely, NS− displayed the most maladaptive pattern of associations. Conclusions: The present findings highlight the importance of analyzing the correlates of different professional profiles, namely to help health and fitness organizations to provide high-quality motivational practices within an appropriate environment both for professionals and clients.


Author(s):  
María Vicent ◽  
Ricardo Sanmartín ◽  
Oswaldo Vásconez-Rubio ◽  
José Manuel García-Fernández

This study complements extant variable-centered research that focus on the relationship between perfectionism and the autonomous and controlled motivation to exercise. A person-centered approach is used for identifying perfectionism profiles as well as analyzing inter-profile differences in terms of the six regulatory styles located on the autonomy-control continuum. A sample of 597 (Mage = 22.08, SD = 3.33) Ecuadorian undergraduates enrolled in a sport science degree program was employed. Latent Profile Analysis based on two higher-order perfectionism dimensions, Perfectionistic Strivings (PS) and Perfectionistic Concerns (PC), supported a four-class solution: Non-Perfectionists (low PS and PC), Adaptive Perfectionists (high PS and low PC), Maladaptive Perfectionists (high PS and PC), and Moderate Perfectionists (moderate PS and PC). Adaptive Perfectionists obtained the highest means on Intrinsic, Integrated, and Identified regulations. However, these differences where only significant when compared with Moderate Perfectionists, and only in the case of Integrated regulation, in comparison with Non-Perfectionists. In contrast, Maladaptive Perfectionists obtained significantly higher scores on Introjected and External regulations as well as on Amotivation than the other three classes. Results are discussed in light of Self-Determination Theory.


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

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