As algorithmic management (AM) becomes increasingly integrated into modern workplaces, understanding its impact on job motivation is essential, particularly for graduates and soon-to be graduates entering white-collar professions. This study investigates how AM practices influence key motivational factors4autonomy, competence, and relatedness4drawing upon the Self-Determination Theory (SDT) framework. Using a controlled experimental design, we surveyed recent and soon-to-be graduates to assess their motivation levels under conditions managed by either AM systems or human supervisors. The sample consisted of 150 participants, all of whom were presented with a realistic job scenario tailored to reflect typical white-collar tasks. Data were analysed using ANOVA and regression models to explore the relationships between AM, job motivation, and job appeal. The results indicate that AM negatively impacts job motivation, with significant differences observed between AM and human management conditions. Specifically, AM was associated with lower levels of perceived autonomy, competence, and relatedness, which, in turn, reduced overall job motivation and job appeal. These findings suggest that while AM can enhance efficiency, it may also undermine the psychological drivers critical to employee engagement. The study's implications emphasize the need for a balanced approach to AM implementation, one that safeguards employee well-being while maintaining operational efficiency. Future research should explore additional mediators and employ longitudinal studies to provide deeper insights into how AM influences motivation and job outcomes over time.
Date of Award | 15 Oct 2024 |
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Original language | English |
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Awarding Institution | - Universidade Católica Portuguesa
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Supervisor | Filipa de Almeida (Supervisor) |
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- Algorithmic management
- White colar
- Graduates
- Employee motivation
- Mestrado em Gestão e Administração de Empresas
Algorithmic management in white collar professions: the influence of algorithmic management practices on job motivation among graduates and soon-to-be graduates entering white-collar professions
Kirn, Y. (Student). 15 Oct 2024
Student thesis: Master's Thesis