Impact of home office on motivation and exhaustion

Creators: Gazem, Miriam and Härting, Ralf-Christian and Reichstein, Christopher
Title: Impact of home office on motivation and exhaustion
Item Type: Conference or Workshop Item
Event Title: (Proceedings of th) 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES)
Event Location: Athens, Greece
Event Dates: September, 6-8, 2023
Page Range: pp. 3460-3470
Type of Paper / Paper No.: / Research Article
Additional Information: Open Access
Date: 2023
Divisions: Gesundheitsmanagement
Abstract (ENG): This paper deals with the topic exhaustion and motivation when working from home. It is the first study from Germany to apply the job demands-resources model of Demerouti and Bakker [1] in the context of home office. By so doing, a deductive approach is followed, and a conceptual model is formed based on a comprehensive literature review with the inclusion of relevant publications up to April 2022. Subsequently, the model is exploratively adapted according to the results and a recommendation for practical action as well as suggestions for future studies are presented. The study was able to provide significant evidence that the communication climate has a positive influence on motivation, the perceived support, the connectedness and the trust between employee and supervisor. Further, trust is influenced by the perceived connectedness with the company. Finally, work pressure in the home office and the lack of segmentation have a positive impact on exhaustion.
Forthcoming: No
Language: English
Uncontrolled Keywords: home office employee motivation ; stress ; exhaustion
Link eMedia: Download
Citation:

Gazem, Miriam and Härting, Ralf-Christian and Reichstein, Christopher (2023) Impact of home office on motivation and exhaustion. In: (Proceedings of th) 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES), September, 6-8, 2023, Athens, Greece, pp. 3460-3470, Paper / Research Article. (Procedia Computer Science; 225).

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