Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/230781
Authors: 
Baumann, Elias
Kern, Jana
Lessmann, Stefan
Year of Publication: 
2019
Series/Report no.: 
IRTG 1792 Discussion Paper No. 2019-005
Abstract: 
Software-as-a-service applications are experiencing immense growth as their comparatively low cost makes them an important alternative to traditional software. Following the initial adoption phase, vendors are now concerned with the continued usage of their software. To analyze the influence of different measures to improve continued usage over time, a longitudinal study design using data from a SaaS vendor was implemented. By employing a linear mixed model, the study finds several measures to have a positive effect on a software’s usage penetration. In addition to these activation measures performed by the SaaS vendor, software as well as client characteristics were likewise examined but did not display significant estimates. In summary the study contributes novel insights into the scarcely researched field of influencing factors on SaaS usage continuance.
Subjects: 
Linear Mixed Models Software-as-a-Service Usage Continuance
JEL: 
C00
Document Type: 
Working Paper

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