The goal of this study is twofold. First the impact of technology self-efficacy on techno eustress and techno distress was measured. In addition, this study tries to determine the effects of both techno distress and techno eustress on job burnout and job engagement. The data was collected within a medium sized automation company. Partial least square structural equational modelling (PLS-SEM) was used for the data analysis. The results confirmed that techno distress had a negative effect on job burnout levels. Techno eustress lowered job burnout levels and increased job engagement. There was no significant measurable influence of technology self-efficacy on the variables techno distress or techno eustress.
|Date of Award||22 Dec 2020|
|Supervisor||Lars Rieser (Examiner) & Remko Helms (Co-assessor)|
- Technology self-efficacy
- Techno eustress
- Techno distress
- ob burnout and Job engagement
- Master Business Process management & IT (BPMIT)