0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessPrevious research has distinguished between two types of working hard: workaholism, a “bad” type of working hard, and work engagement, a “good” type of working hard. However, the motivations underlying workaholism and work engagement have not been examined extensively. Building on Deci and Ryan's Self‐Determination Theory, the present study examined the motivational correlates of workaholism, work engagement, and burnout (a possible consequence of working hard), using data from Chinese health care professionals (544 nurses and 216 physicians), and controlling for job demands and resources. As expected, structural equation modeling revealed that high levels of workaholism were associated with high levels of introjected regulation and identified regulation; that high levels of work engagement were mainly associated with high levels of intrinsic regulation; and that high levels of burnout were mainly associated with low levels of intrinsic regulation. Thus, different types of motivational regulation are associated with different types of job‐related well‐being.
Ilona van Beek, Qiao Hu, Wilmar Schaufeli, Toon W. Taris, Bert Schreurs (2011). For Fun, Love, or Money: What Drives Workaholic, Engaged, and Burned‐Out Employees at Work?. Applied Psychology, 61(1), pp. 30-55, DOI: 10.1111/j.1464-0597.2011.00454.x.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2011
Authors
5
Datasets
0
Total Files
0
Language
English
Journal
Applied Psychology
DOI
10.1111/j.1464-0597.2011.00454.x
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access