This study explored the effects of push, pull, and mooring factors on the switching intention of an organization’s IT systems using a survey of 152 employees(hardware engineering, software engineering, information strategy planning) of the IT depart...
This study explored the effects of push, pull, and mooring factors on the switching intention of an organization’s IT systems using a survey of 152 employees(hardware engineering, software engineering, information strategy planning) of the IT department. In this study, we adopt the PLS(partial least square) of the structural equation model for analyzing structural relationships of the switching intention of an organization’s IT systems toward the cloud. This study applies the push-pull-mooring model to empirically examines the three categories of antecedents for switching intention toward the cloud. First, our findings show that both push factors and pull factors have positive impacts on the switching intention toward the cloud. Also, mooring factors have negative impacts on the switching intention toward the cloud. Second, our findings show that the mediators have mediation effects. Third, our findings show the moderation effects of mooring factors.