Ghaemmaghami, Bijan (2022) Task-location fit - How the right working location affects employees’ performance and wellbeing. Research Master thesis, Research Master.
![[img]](https://gmwpublic.studenttheses.ub.rug.nl/style/images/fileicons/text.png) |
Text
June 30 2022 - Bijan Ghaemmaghami - Master Thesis Project Final (1).pdf Restricted to Repository staff only Download (273kB) |
Abstract
As the flexibility of choosing one’s work location remains popular among employees worldwide, many companies and institutions embrace hybrid working models post-pandemic even if returning to the office full time is possible in most places. Judging by the popularity of working from home part-time, it seems likely that employees benefit from conducting part of their job in a location that is not their assigned workplace with their employer. For instance, some tasks might be better fit to be performed at the home office while other tasks might only be fit for being carried out at the traditional office space. This fit and its consequences are investigated in two studies. Firstly, via a large online employee survey at a Dutch university (N=1,715), this study explored location preferences of university employees for different tasks. Clear preferences were established with a McNemar test. In the second study, actual location differences per task were analyzed and the theory of task-location fit and its consequences for employees was tested via daily diary data with a total of 397 measurements of 89 university employees. A good task-location fit was hypothesized to be linked to high daily job satisfaction, high work engagement and low levels of energy depletion. The hypotheses were tested and supported via multilevel linear models. The results show that a good task-location fit may be beneficial for personal work-related outcomes. Therefore, task-location fit should be given more attention by researchers as well as practitioners. Keywords: P-E fit models, hybrid working, home office, employee well-being, multilevel modeling
| Item Type: | Thesis (Research Master) |
|---|---|
| Supervisor name: | Scheibe, S. |
| Degree programme: | Research Master |
| Differentiation route: | Social and Organizational Psychology [Research Master] |
| Date Deposited: | 25 Jul 2022 07:51 |
| Last Modified: | 25 Jul 2022 07:51 |
| URI: | http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/1113 |
Actions (login required)
 |
View Item |