Why we migrate in the virtual world: factors affecting switching intentions in SNS

References

• Acquisti, A., & Gross, R. (2006). Imagined communities: Awareness, information sharing, and privacy on the facebook. In P. Gille, & G. Danezis (Eds.), Proceedings of 6th workshop on privacy enhancing technologies (pp. 36–58). Cambridge: Robinson College.
   Google Scholar
• Acquisti, A, & Grossklags, J. (2005). Privacy and rationality in individual decision making. IEEE. Security and Privacy, 3(1), 26–33. doi: 10.1109/MSP.2005.22
   Web of Science ®Google Scholar
• Anderson, T. (2012). Your privacy is a commodity and you will continue to give it away. SocialMediaToday. Retrieved from http://www.socialmediatoday.com/content/your-privacy-commodity-and-you-will-continue-give-it-away
   Google Scholar
• Bansal, H. S., Taylor, S. F., & St. James, Y. (2005). “Migrating” to new service providers: Toward a unifying framework of consumers’ switching behaviors. Journal of the Academy of Marketing Science, 33(1), 96–115. doi: 10.1177/0092070304267928
   Web of Science ®Google Scholar
• Boyd, D. (2004). Friendster and publicly articulated social networks. In Proceedings of ACM conference on human components and computing systems (pp. 1279–1282). New York: ACM Press.
   Google Scholar
• Boyd, D. (2006). Friendster lost steam. Is my space just a fad? Apophenia blog. Retrieved from http://www.danah.org/papers/FriendsterMySpaceEssay.html
   Google Scholar
• Boyd, D. (2008). Facebook’s privacy trainwreck: Exposure, invasion, and social convergence convergence. The International Journal of Research into Media Technologies, 14(1), 13–20. doi: 10.1177/1354856507084416
   Google Scholar
• Chang, I., Liu, C. C., & Chen, K. (2014). The push, pull and mooring effects in virtual migration for social networking sites. Information Systems Journal, 24(4), 323–346. doi: 10.1111/isj.12030
   Web of Science ®Google Scholar
• Diamantopoulos, A., & Winklhofer, M. H. (2001). Index construction with formative indicators: An alternative to scale development. Journal of Marketing Research, 38(2), 269–277. doi: 10.1509/jmkr.38.2.269.18845
   Web of Science ®Google Scholar
• Donath, J., & Boyd, D. (2004). Public displays of connection. BT Technology Journal, 22(4), 71–82. doi: 10.1023/B:BTTJ.0000047585.06264.cc
   Web of Science ®Google Scholar
• Gross, R., & Acquisti, A. (2005, November). Information revelation and privacy in online social networks. In Proceedings of the 2005 ACM workshop on privacy in the electronic society (pp. 71–80). New York: ACM Press.
   Google Scholar
• Hampton, K. N., Goulet, L. S., Marlow, C., & Rainie, L. (2012). Why most Facebook users get more than they give. Pew Internet & American Life Project, 3, 1–40.
   Google Scholar
• Hong, H. K., Han, S. Y., Lee, J. W., Kim, M. S., & Han, K. S. (2015). A study on the effects of SNS fatigue and ambivalent attitude on the intention on SNS continual use. International Journal of u-and e-Service, Science and Technology, 8(10), 129–138. doi: 10.14257/ijunesst.2015.8.10.13
   Google Scholar
• Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2000). Switching barriers and repurchase intentions in services. Journal of Retailing, 76(2), 259–274. doi: 10.1016/S0022-4359(00)00024-5
   Web of Science ®Google Scholar
• Kim, G., Shin, B., & Lee, H. G. (2006). A study of factors that affect user intentions toward email service switching. Information & Management, 43(7), 884–893. doi: 10.1016/j.im.2006.08.004
   Web of Science ®Google Scholar
• Lim, M., & Choi, S. (2017). Stress caused by social media network applications and user responses. Multimedia Tools and Application, 76(17), 17685–17698. doi: 10.1007/s11042-015-2891-z
   Web of Science ®Google Scholar
• Lin, C., & Wang, H. (2017). Understanding users’ switching intentions and switching behavior on social networking sites. Aslib Journal of Information Management, 69(2), 201–214. doi: 10.1108/AJIM-08-2016-0127
   Web of Science ®Google Scholar
• Madden, M. (2012). Privacy management on social media sites. Pew Internet Report, 1–20.
   Google Scholar
• Maier, C., Laumer, S., Weinert, C., & Weitzel, T. (2015). The effects of technostress and switching stress of discontinued use of social networking services: A study of a Facebook use. Information Systems Journal, 25(3), 275–308. doi: 10.1111/isj.12068
   Web of Science ®Google Scholar
• Malhotra, N., Kim, S., & Agarwal, J. (2004). Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research, 15(4), 336–355. doi: 10.1287/isre.1040.0032
   Web of Science ®Google Scholar
• Peña, J., & Brody, N. (2014). Intentions to hide and unfriend Facebook connections based on perceptions of sender attractiveness and status updates. Computers in Human Behavior, 31, 143–150. doi: 10.1016/j.chb.2013.10.004
   Web of Science ®Google Scholar
• Ravindran, T., Kuan, A. C., & Lian, D. G. (2014). Antecedents and effects of social network fatigue. Journal of the Association for Information Science and Technology, 65(1), 2306–2320. doi: 10.1002/asi.23122
   Web of Science ®Google Scholar
• Sharma, N., & Patterson, P. G. (2000). Switching costs, alternative attractiveness and experience as moderators of relationship commitment in professional, consumer services. International Journal of Service Industry Management, 11(5), 470–490. doi: 10.1108/09564230010360182
   Google Scholar
• Srinivasan, S. (2012). Lack of privacy awareness in social networks. ISACA Journal, 6, 1–5.
   Google Scholar
• Statista. (2018a). Social media – statistics & facts. Retrieved from https://www.statista.com/topics/1164/social-networks/
   Google Scholar
• Statista. (2018b). Most famous social network sites worldwide as of January 2018, ranked by number of active users (in millions). Retrieved from https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/
   Google Scholar
• Taddicken, M. (2014). The ‘privacy paradox’ in the social web: The impact of privacy concerns, individual characteristics, and the perceived social relevance on different forms of self-disclosure. Journal of Computer-Mediated Communication, 19, 248–273. doi: 10.1111/jcc4.12052
   Web of Science ®Google Scholar
• Team, T. (2014). Facebook through the lens of Porter's five forces. Forbes. Retrieved from https://www.forbes.com/sites/greatspeculations/2014/11/28/facebook-through-the-lens-of-porters-five-forces/#4d105d9d7dd3
   Google Scholar
• Tian, Y., Srivastava, J., Huang, T., & Contractor, N. (2010). Social multimedia computing. Computer, 43(8), 27–36. doi: 10.1109/MC.2010.188
   Web of Science ®Google Scholar
• Whitty, M. T. (2002). Liar, liar! An examination of how open, supportive and honest people are in chat rooms. Computers in Human Behavior, 18, 343–352. doi: 10.1016/S0747-5632(01)00059-0
   Web of Science ®Google Scholar
• Wu, Y., Tao, Y., Li, C., Wang, S., & Chiu, C. (2014). User switching behavior in social network sites: A model perspective with drill-down analyses. Computers in Human Behavior, 33, 92–103. doi: 10.1016/j.chb.2013.12.030
   Web of Science ®Google Scholar
• Xu, Y., Yang, Y., Cheng, Z., & Lim, J. (2014). Retaining and attracting users in social networking services: An empirical investigation of cyber migration. Journal of Strategic Information Systems, 23, 239–253. doi: 10.1016/j.jsis.2014.03.002
   Web of Science ®Google Scholar
• Yamakami, T. (2012, December). Towards understanding SNS fatigue: Exploration of social experience in the virtual world. In Proceedings of the 7^th international conference on computing and convergence technology (pp. 203–207). Seoul, Korea: IEEE.
   Google Scholar
• Yao, X., Phang, C. W., & Ling, H. (2015, January). Understanding the influences of trend and fatigue in individuals’ SNS switching intention. In 48th Hawaii international conference on system science (HICSS) (pp. 324–334).Kauai, Hawaii: IEEE.
   Google Scholar
• Zengyan, C., Yinping, Y., & Lim, J. (2009, January). Cyber migration: An empirical investigation on factors that affect users’ switch intentions in social networking sites. In 42nd Hawaii international conference on system sciences (pp. 1–11). Waikoloa, Big Island, Hawaii: IEEE.
   Google Scholar
• Zhang, K. Z., Cheung, C. M., & Lee, M. K. (2012). Online service switching behavior: The case of blog service providers. Journal of Electronic Commerce Research, 13(3), 184–197.
   Web of Science ®Google Scholar