Compared to literature on users' initial adoption or continuance usage of MIM, relatively few studies have been conducted to explore the switching behavior of MIM users. Switching behavior is generally defined as an action that a consumer chooses an alternative to replace previously adopted service providers (Bansal & Taylor, 1999). Peng et al., 2014, Peng et al., 2016 primarily investigated the role of networks, relative deprivation, and trust on MIM users' switching intention by introducing a migration theory from social network perspective. Hou (2015) adopted two factor theory to examine the effects of hygiene factors (e.g., socializing, entertainment, and system quality) and motivators (e.g., attractiveness of alternative, peer influence, and critical mass) on MIM users' switching intention. However, these studies concentrating on the impact of specific aspects are not sufficient to fully explain MIM users' switching behavior. In order to comprehensively understand all kinds of factors associated with MIM users' switching behavior, this study aims to propose a research model by taking push-pull-mooring (PPM) framework into account.