Sebastian Walther

Exploring Organizational Level Continuance of Cloud-Based Enterprise Systems

As cloud computing has become a mature technology broadly being adopted by companies across all industries, cloud service providers are increasingly turning their attention to retaining their customers. However, only little research has been conducted on investigating the antecedents of service continuance in an organizational context. To address this gap in research, we carried out a quantitative-empirical study. We developed a conceptual model that builds on previous research on organizational level continuance. We tested this model, using survey data gathered from IT decision makers of companies which have adopted cloud enterprise systems. The data was analyzed using PLS. The results show that continuance intention can be predicted both by socio-organizational and technology-related factors, explaining 55.9 % of the dependent variable’s variance. Besides cloud specific findings, the study also enhances knowledge in the area of organizational level system continuance as well as its connection to IS success.

The Role of Past Experience with On-Premise on the Confirmation of the Actual System Quality of On-Demand Enterprise Systems

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.