Abstract
The paper examines the role of past experience with an on-premise enterprise system on the confirmation of the actual performance of a cloud enterprise system. The research model is built on expectation-confirmation theory conceptualizing and interlinking the different elements of system quality which differ strongly between on-premise and on-demand solutions. As the research is exploratory in nature and the sample size is very small, the data is analysed using SmartPLS. Results show that most of the confirmation can be explained through actual performance, whereas past experience with on-premise has no significant effects on confirmation and actual performance.
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Notes
- 1.
We defined 4 dimensions which according to [11] are the characteristics of a cloud offering. However, we do not agree that application is a distinct part of a cloud offering, any software can theoretically be hosted on-premise or on-demand, therefore we do not include the feature dimensions. The same applies to rapport.
- 2.
Note that we do not define system quality completely congruent to the IS success model, as we explicitly focus on the system quality dimensions which differ between on-premise and on-demand, which excludes things like help desk or application quality.
- 3.
The application delivery as part of the service was not included, as we believe that application is not part of a cloud service, as the application itself can either be delivered on-premise or on-demand without any major distinctions. This excludes the dimension features. Additionally, rapport can be seen as part of SaaS-quality, however, in our context, we focus on the quality of the system quality delivered.
- 4.
Security was newly developed.
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Walther, S., Eden, R., Phadke, G., Torsten, E. (2015). The Role of Past Experience with On-Premise on the Confirmation of the Actual System Quality of On-Demand Enterprise Systems. In: Sedera, D., Gronau, N., Sumner, M. (eds) Enterprise Systems. Strategic, Organizational, and Technological Dimensions. Pre-ICIS Pre-ICIS Pre-ICIS 2011 2012 2010. Lecture Notes in Business Information Processing, vol 198. Springer, Cham. https://doi.org/10.1007/978-3-319-17587-4_15
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