“…Several frameworks have been utilized to study these contexts, such as the Cost-Benefit analysis and Technology Acceptance Model (Chang and Hsu, 2019), Stress-Coping Perspective framework (Lim and Choi, 2017), Uses and Gratifications Theory (Kim and Atkin, 2019), and Perceived value literature (Lin and Wang, 2017). These studies, and especially those related to social media, examined the effect of different factors such as service/system quality, dissatisfaction, regret, privacy invasion, alternative attractiveness, peer influence, critical mass, perceived usefulness, enjoyment, switching cost, social influence, habit, social and emotional values (Hou et al ., 2009; Wu et al ., 2017; Guo et al ., 2021; Liao et al ., 2021; Nayak et al ., 2021; Lin and Wang, 2017) (see Table A1 in Appendix 1 for a summary). Although several factors related to social media switching intention have been discussed in the literature, there is room to explore the effects of other important factors such as firm reputation, trust, privacy subjective norm, and affective condition, which have note received the due attention.…”