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To be or not to be stressed: Designing autonomy to reduce stress at work.
- Source :
- Work; 2023, Vol. 75 Issue 4, p1199-1213, 15p, 1 Diagram, 8 Charts, 1 Graph
- Publication Year :
- 2023
-
Abstract
- BACKGROUND: Many organizations are undertaking efforts to reduce the stress of (oftentimes overworked) employees. Information Technology (IT) (e.g., smartphones) has the potential to be a key instrument for reducing stress. One design-relevant factor considered to reduce stress is the concept of autonomy. Unfortunately, little research exists using autonomy as a characteristic of technology design. OBJECTIVE: Against this background, this study aimed to investigate specific autonomy-related design options with the potential to prevent stress. METHODS: In a factorial survey, this experimental study tested three design options in an overwork scenario: 1) autonomy (no intervention by design), 2) nudge ("nudging" by design), and 3) enforcement (hard stop by design). 51 participants (mean age 38 years, 50% women, mean work experience 18 years) from the Netherlands, United Kingdom, United States of America, and Germany participated in the experiment for 330 seconds on average. To test our hypothesis, we used a two-step approach. First, a multiple linear regression was applied. Second, we carried out a one-way ANCOVA comparing the effects of our design options. RESULTS: Our results indicate that autonomy can be manipulated through technology design and is negatively correlated with stress. Additionally, the design options autonomy and nudge were associated with lower levels of perceived stress than was enforcement. CONCLUSION: The study proposes a careful use of IT and policies that limit the perceived autonomy of employees. Overall, this study offers a set of design recommendations arguing that organizations should implement technology that helps employees prevent overwork and maintain their autonomy. [ABSTRACT FROM AUTHOR]
- Subjects :
- JOB stress prevention
EXPERIMENTAL design
RESEARCH
EMPLOYEE attitudes
MULTIPLE regression analysis
LEADERSHIP
WORK-life balance
SOFTWARE architecture
STRESS management
EMPLOYEES' workload
PROFESSIONAL autonomy
ANALYSIS of covariance
RESEARCH funding
DESCRIPTIVE statistics
INDUSTRIAL hygiene
EMPIRICAL research
STATISTICAL sampling
INFORMATION technology
Subjects
Details
- Language :
- English
- ISSN :
- 10519815
- Volume :
- 75
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Work
- Publication Type :
- Academic Journal
- Accession number :
- 169993680
- Full Text :
- https://doi.org/10.3233/WOR-220177