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This study adopted the framework from the theory of the switching costs by Burnham et al., (2003) to discuss which customers’ switching costs will influence the switching intention of operating system. In the proposed model, financial switching costs, procedural switching costs, psychological and emotional costs directly influence switching intention of windows operation systems.

This study collected 429 users from online questionnaire, conducted confirmatory factor analysis by structural equation modeling to verify the hypothesis with path analysis result. Results of the analysis showed that different types of switching costs have significantly and negative influence on customers’ switching intention of operating system such as economic risk costs, evaluation costs, learning costs, customers’ comfort and customers’ identification. The implications of this study are also discussed.