The present study makes three substantial contributions to IT post-adoption research.
First, the present work has used two-factor theoretic perspective as the conceptual framework to extract key factors affecting users 'switching behavior to cloud services. A dual-factor-based model that cloud help effectively find computing factors affecting switching behavior to cloud services is a reasonable expectation. The dual-factor concepts described in our study provide a theoretical framework for the simultaneous consideration of enablers and inhibitors and their respective roles in the switching intention to cloud services
second, this study extended current IT adoption and post-adoption theories to the context of cloud services. This study identified the key switching enablers and inhibitors which predict users intention to switch to cloud services. Based on our empirical results, the key switching enablers are omnipresence and collaboration support, while switching inhibitors are satisfaction with incumbent IT and breadth use of incumbent IT.
Finally, the role of personal innovativeness in the relationship among expected switching benefits/costs and intention to switch has been empirically confirmed. The results show that personal innovativeness positively moderated the relationship between positive perception on switching to cloud andintention to switch. Hence, personal innovativeness may be more predictive of users switching intention than distal factors related to existing software or cloud service applications