Table 1

Factors of push, pull and mooring effects in online switching behavior

AuthorsPush effectPull effectMooring effectDVResearch context
Chang et al. (2014) Dissatisfaction, regretAlternative attractivenessSwitching costS.I.Social networking sites
Cao et al. (2020) Social presenceReferent network size, relative ease of useAffective commitment, switching costs, habitSIBloggers' switching toward microblogging
Hsieh et al. (2012) Weak connection, writing anxietyEnjoyment, relative usefulness, relative ease of useSwitching costs
Past experience
S.B.Blogging service
Hou et al. (2011) Low enjoyment, low satisfaction, perceptions of insufficient participantsAlternative attractivenessSwitching costs, social relationship, need for variety
Prior switching experience
S.I.Online game service
Hou and Shiau (2020) Enjoyment, satisfaction, system qualityAlternative attractiveness, critical mass, peer influenceN/ASIFacebook to Instagram migration
Loh et al. (2021) Monetary valueAlternative attractivenessSwitching costs, trust
Perceived security and privacy, traditional payment habit
S.I.Mobile payment
Sun et al. (2017) Dissatisfaction, fatigueAlternative attractiveness, subjective normSwitching costs, habit
Affective commitment
S.I.Mobile instant message (M.I.M.)
Tang and Chen (2020) Information quality and service quality dissatisfaction, person brand unfitAlternative attractivenessUnfollowing costsS.I.Brand microblog users' unfollowing intention
Yoon and Lim (2021) DissatisfactionPerceived usefulnessSwitching cost, low IT innovativenessS.I.Online banking

Source(s): Authors’ own work

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