How Do Passive Social Networking Services Use and Its Antecedents Affect Users’ Continuance Intention? An Empirical Study of WeChat Use

References

• Chai S, Kim M. A socio-technical approach to knowledge contribution behavior: an empirical investigation of social networking sites users. Int J Inf Manage. 2012;32(2):118–126. doi:10.1016/j.ijinfomgt.2011.07.004
   Web of Science ®Google Scholar
• Statista 2019. Number of monthly active WeChat users from 2nd quarter 2012 to 2nd quarter; 2019. Available from: https://www.statista.com/statistics/255778/number-of-active-wechat-messenger-accounts/. Accessed October 20, 2022
   Google Scholar
• Tosun LP. Motives for Facebook use and expressing “true self” on the Internet. Comput Human Behav. 2012;28(4):1510–1517. doi:10.1016/j.chb.2012.03.018
   Web of Science ®Google Scholar
• Chen W, Fan CY, Liu QX, Zhou ZK, Xie XC. Passive social network site use and subjective well-being: a moderated mediation model. Comput Human Behav. 2016;64:507–514. doi:10.1016/j.chb.2016.04.038
   Web of Science ®Google Scholar
• Tandoc EC, Ferrucci P, Duffy M. Facebook use, envy, and depression among college students: is facebooking depressing? Comput Human Behav. 2015;43:139–146. doi:10.1016/j.chb.2014.10.053
   Web of Science ®Google Scholar
• Verduyn P, Lee DS, Park J, et al. Passive Facebook usage undermines affective well-being: experimental and longitudinal evidence. J Exp Psychol Gen. 2015;144(2):480–488. doi:10.1037/xge0000057
   PubMed Web of Science ®Google Scholar
• Shaw AM, Timpano KR, Tran TB, Joormann J. Correlates of Facebook usage patterns: the relationship between passive Facebook use, social anxiety symptoms, and brooding. Comput Human Behav. 2015;48:575–580. doi:10.1016/j.chb.2015.02.003
   Web of Science ®Google Scholar
• Burke M, Marlow C, Lento T. Social Network Activity and Social Well-Being. The 28th International Conference on Human Factors in Computing Systems, April 10–15, 2010, 2010. New York, NY: ACM; 1909. doi:10.1145/1753326.1753613
   Google Scholar
• Krasnova H, Wenninger H, Widjaja T, Buxmann P. Envy on Facebook: a hidden threat to users’ life satisfaction? Proceedings of the 11th International Conference on Wirtschaftsinformatik (WI2013); 2013; Leipzig, German. doi:10.7892/boris.47080
   Google Scholar
• Ding Q, Zhang YX, Wei H, Huang F, Zhou ZK. Passive social network site use and subjective well-being among Chinese university students: a moderated mediation model of envy and gender. Pers Individ Dif. 2017;113:142–146. doi:10.1016/j.paid.2017.03.027
   Web of Science ®Google Scholar
• Zhu X, Bao Z. Why people use social networking sites passively: an empirical study integrating impression management concern, privacy concern, and SNS fatigue. Aslib J Inf Manag. 2018;70(2):158–175. doi:10.1108/AJIM-12-2017-0270
   Web of Science ®Google Scholar
• Yin G, Zhu L, Cheng X. Continuance usage of localized social networking services: a conceptual model and lessons from China. J Glob Inf Technol Manag. 2014;16(3):7–30. doi:10.1080/1097198X.2013.10845640
   Web of Science ®Google Scholar
• Chiu CM, Cheng HL, Huang HY, Chen CF. Exploring individuals’ subjective well-being and loyalty towards social network sites from the perspective of network externalities: the Facebook case. Int J Inf Manage. 2013;33(3):539–552. doi:10.1016/j.ijinfomgt.2013.01.007
   Web of Science ®Google Scholar
• Ryan RM, Deci EL. On happiness and human potentials: a review of research on hedonic and eudaimonic well-being. Ann Rev Psychol. 2001;52:141–166. doi:10.1146/annurev.psych.52.1.141
   PubMed Web of Science ®Google Scholar
• Cummins R. On the trail of the gold standard for life satisfaction. Soc Indic Res. 1995;35(2):179–200. doi:10.1007/1-4020-3742-2_18
   Web of Science ®Google Scholar
• Diener E, Oishi S, Lucas RE. Subjective well-being: the science of happiness and life satisfaction. In: Snyder CR, Lopez SJ, editors. Oxford Handbook of Positive Psychology. New York: Oxford University Press; 2009.
   Google Scholar
• Deci EL, Ryan RM. Intrinsic Motivation and Self-Determination in Human Behavior. New York: Springer Science; 1985.
   Google Scholar
• Sheldon KM, Houser-Marko L. Self-concordance, goal-attainment, and the pursuit of happiness: can there be an upward spiral? J Pers Soc Psychol. 2001;80:152–165. doi:10.1037//0022-3514.80.1.152
   PubMed Web of Science ®Google Scholar
• Lin K-Y, Lu H-P. Why people use social networking sites: an empirical study integrating network externalities and motivation theory. Comput Human Behav. 2011;27(3):1152–1161. doi:10.1016/j.chb.2010.12.009
   Web of Science ®Google Scholar
• Bhattacherjee A. Understanding information systems continuance: an expectation-confirmation model. MISQ. 2001;25(3):351–370. doi:10.2307/3250921
   Web of Science ®Google Scholar
• Dholakia UM, Bagozzi RP, Klein LR. A social influence model of consumer participation in network and small group-based virtual communities. Int J Mark. 2004;21(3):241–263. doi:10.1016/j.ijresmar.2003.12.004
   Web of Science ®Google Scholar
• Pagani M, Hofacker CF, Goldsmith RE. The influence of personality on active and passive use of social networking sites. Psychol Mark. 2011;28(5):441–456. doi:10.1002/mar.20395
   Web of Science ®Google Scholar
• Sledgianowski D, Kulviwat S. Using social network sites: the effects of playfulness, critical mass and trust in a hedonic context. J Comput Inf Syst. 2009;49(4):74–83. doi:10.1080/08874417.2009.11645342
   Web of Science ®Google Scholar
• Laufer RS, Wolfe M. Privacy as a concept and a social issue: a multidimensional developmental theory. J Soc Issues. 1977;33(3):22–42. doi:10.1111/j.1540-4560.1977.tb01880.x
   Web of Science ®Google Scholar
• Rachels J. Why privacy is important. Philos Public Aff. 1975;4:323–333.
   Web of Science ®Google Scholar
• Min J. Personal information concerns and provision in social network sites: interplay between secure preservation and true presentation. J Assoc Inf Sci Technol. 2016;67(1):26–42. doi:10.1002/asi.23376
   Web of Science ®Google Scholar
• Lohr S. The age of big data; 2012. Available from: http://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-theworld.html?pagewanted=all&_r=0:NewYorkTimes. Accessed October 20, 2022
   Google Scholar
• Bright LF, Kleiser SB, Grau SL. Too much Facebook? An exploratory examination of social media fatigue. Comput Human Behav. 2015;44:148–155. doi:10.1016/j.chb.2014.11.048
   Web of Science ®Google Scholar
• Zhang S, Zhao L, Lu Y, Yang J. Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Inf Manag. 2016;53(7):904–914. doi:10.1016/j.im.2016.03.006
   Web of Science ®Google Scholar
• Bulgurcu B, Cavusoglu H, Benbasat I. Understanding emergence and outcomes of information privacy concerns: a case of Facebook. Proceedings of 31st International Conference on Information Systems; 2010; Saint Louis, Missouri, USA.
   Google Scholar
• Leary MR, Kowalski RM. Impression management: a literature review and two-component model. Psychol Bull. 1990;107(1):34–47. doi:10.1037/0033-2909.107.1.34
   Web of Science ®Google Scholar
• Wasserman S, Faust K. Social Network Analysis: Methods and Applications. Vol. 8. Cambridge, UK: Cambridge University Press; 1994. doi:10.2307/2077235
   Google Scholar
• Riley D, Eckenrode J. Social ties: subgroup differences in costs and benefits. J Pers Soc Psychol. 1986;51(4):770–778. doi:10.1037/0022-3514.51.4.770
   PubMed Web of Science ®Google Scholar
• Lin H, Fan W, Chau PYK. Determinants of users’ continuance of social networking sites: a self-regulation perspective. Inf Manag J. 2014;51(5):595–603. doi:10.1016/j.im.2014.03.010
   Web of Science ®Google Scholar
• Marwick AE, Boyd D. I tweet honestly, I tweet passionately: twitter users, context collapse, and the imagined audience. New Media Soc. 2011;13(1):114–133. doi:10.1177/1461444810365313
   Web of Science ®Google Scholar
• Buck R, Losow JI, Murphy MM, Costanzo P. Social facilitation and inhibition of emotional expression and communication. J Pers Soc Psychol. 1992;63(6):962–968. doi:10.1037/0022-3514.63.6.962
   PubMed Web of Science ®Google Scholar
• Zhu Y, Bao Z. The role of negative network externalities in SNS fatigue: an empirical study based on impression management concern, privacy concern, and social overload. Data Technol Appl. 2018;52(3):313–328. doi:10.1108/DTA-09-2017-0063
   Web of Science ®Google Scholar
• Jeong Y, Kim Y. Privacy concerns on social networking sites: interplay among posting types, content, and audiences. Comput Human Behav. 2017;69:302–310. doi:10.1016/j.chb.2016.12.042
   Web of Science ®Google Scholar
• Kantar 2015. Report on social media influence in China; 2015. Available from: http://cn.kantar.com/media/633232/2014.pdf. Accessed October 20, 2022
   Google Scholar
• Mcgorry SY. Measurement in a cross‐cultural environment: survey translation issues. Qual Mark Res. 2000;3(2):74–81. doi:10.1108/13522750010322070
   Google Scholar
• Dinev T, Hart P. An extended privacy calculus model for e-commerce transactions. Inf Syst Res. 2006;17(1):61–80. doi:10.1287/isre.1060.0080
   Web of Science ®Google Scholar
• Oh HJ, LaRose R. Impression management concerns and support-seeking behavior on social network sites. Comput Human Behav. 2016;57:38–47. doi:10.1016/j.chb.2015.12.005
   Web of Science ®Google Scholar
• Diener E, Emmons RA, Larsen RJ, Griffin S. The satisfaction with life scale. J Pers Assess. 1985;49:71–75. doi:10.1207/s15327752jpa4901_13
   PubMed Web of Science ®Google Scholar
• Harman HH. Modern Factor Analysis. Chicago: University of Chicago Press; 1976.
   Google Scholar
• Chin WW, Marcolin BL, Newsted PR. A partial least squares latent variable modeling approach for measuring interaction effects: results from a monte carlo simulation study and an electronic-mail emotion/adoption study. Inf Syst Res. 2003;14(2):189–217. doi:10.1287/isre.14.2.189.16018
   Web of Science ®Google Scholar
• Anderson JC, Gerbing DW. Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull. 1988;103(3):411–423. doi:10.1037/0033-2909.103.3.411
   Web of Science ®Google Scholar
• Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18(3):39–50. doi:10.1177/002224378101800312
   Web of Science ®Google Scholar
• Nunnally JC. Psychometric Theory. New York: McGraw-Hill; 1978.
   Google Scholar
• Chin WW. Issues and opinions on structural equation modeling. MISQ. 1998;22(1):7–16.
   Web of Science ®Google Scholar
• Aiken LS, West SG. Multiple Regression: Testing and Interpreting Interactions. Newbury Park, CA: Sage; 1991.
   Google Scholar