How to cite this paper
Maqableh, M., Abuhashesh, M., Dahabiyeh, L., Nawayseh, M & Masadeh, R. (2021). The effect of Facebook users’ satisfaction and trust on stickiness: The role of perceived values.International Journal of Data and Network Science, 5(3), 245-256.
Refrences
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Amoroso, D. L., & Chen, Y. (2017). Constructs Affecting Continuance Intention in Consumers With Mobile Financial Apps: a Dual Factor Approach. Journal of Information Technology Management, XXVIII(3), 24. http://files/2556/Amoroso and Chen - 2017 - CONSTRUCTS AFFECTING CONTINUANCE INTENTION IN CONS.pdf
Authors, F. (2016). Journal of Research in Interactive Marketing.
Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Sciences , 16(1), 74–94.
Basak, E., & Calisir, F. (2015). An empirical study on factors affecting continuance intention of using Facebook. In Computers in Human Behavior (Vol. 48, Issue April 2016, pp. 181–189). https://doi.org/10.1016/j.chb.2015.01.055
Bataineh, A. Q., Al-Abdallah, G. M., & Alkharabsheh, A. M. (2015). Determinants of continuance intention to use social networking sites SNS’s: studying the case of Facebook. International Journal of Marketing Studies, 7(4), 121–135. https://doi.org/10.5539/ijms.v7n4p121
Beldad, A. D., & Hegner, S. M. (2017). More Photos From Me to Thee: Factors Influencing the Intention to Continue Sharing Personal Photos on an Online Social Networking (OSN) Site among Young Adults in the Netherlands. International Journal of Human-Computer Interaction, 33(5), 410–422. https://doi.org/10.1080/10447318.2016.1254890
Chang, S. E., Liu, A. Y., & Shen, W. C. (2017). User trust in social networking services: A comparison of Facebook and LinkedIn. Computers in Human Behavior, 69, 207–217. https://doi.org/10.1016/j.chb.2016.12.013
Cocosila, M., & Igonor, A. (2014). How important is the “ social ” in social networking ? A perceived value empirical investigation. https://doi.org/10.1108/ITP-03-2014-0055
Cocosila, M., & Igonor, A. (2015). How important is the “social” in social networking? A perceived value empirical investigation. Information Technology and People, 28(2), 366–382. https://doi.org/10.1108/ITP-03-2014-0055
Creswell, J. W. (2009). Creswell, J. (2009), Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 3rd edition, . (3rd (ed.)). Thousand Oaks, Sage Publications.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Duffy, K. (n.d.). WhatsApp says you shouldn’t worry about it sharing personal data with Facebook. Experts say you should switch to “highly trusted” Signal. Businessinsider.
Gan, C., & Wang, W. (2017). The influence of perceived value on purchase intention in social commerce context. Internet Research, 27(4), 772–785. http://10.0.4.84/IntR-06-2016-0164%0Ahttp://search.ebscohost.com/login.aspx?direct=true&db=llf&AN=124365799&site=ehost-live
Gong, X., Liu, Z., Zheng, X., & Wu, T. (2018). Why are experienced users of WeChat likely to continue using the app? Asia Pacific Journal of Marketing and Logistics, 30(4), 1013–1039. https://doi.org/10.1108/APJML-10-2017-0246
Grabner-Kräuter, S., & Bitter, S. (2014). Trust in online social networks: A multifaceted perspective. Forum for Social Economics, 44(1), 48–68. https://doi.org/10.1080/07360932.2013.781517
Ha, H. Y., & Pan, H. (2018). The evolution of perceived security: the temporal role of SNS information perceptions. Internet Research, 28(4), 1055–1078. https://doi.org/10.1108/IntR-02-2017-0047
Hair, J. (2007). Research Methods for Business . New York, NY: Wiley 2007. , ISBN: 0 470 03404 0. In Education + Training (4th ed., Vol. 49, Issue 4). https://doi.org/10.1108/et.2007.49.4.336.2
Hair, J., Black, W., Babin, B., & Anderson, R. (2014). Multivariate Data Analysis. In Pearson custom library. https://doi.org/10.1038/259433b0
Herzallah, F., & Mukhtar, M. (2016). The impact of percieved usefulness, ease of use and trust on managers’ acceptance of e-commerce services in small and medium-sized enterprises (SMEs) in Palestine. International Journal on Advanced Science, Engineering and Information Technology, 6(6), 922–929. https://doi.org/10.18517/ijaseit.6.6.1377
Holbrook, M. B., Wharton, P. G., Carnegie, A. K., Northwestern, L., Stanford, B. M., Ramond, C., Chicago, G. S., & Rutgers, B. W. (2006). Consumption experience , customer value , and subjective personal introspection : An illustrative photographic essay. 59, 714–725. https://doi.org/10.1016/j.jbusres.2006.01.008
Hong, J. C., Lin, P. H., & Hsieh, P. C. (2017). The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch. Computers in Human Behavior, 67, 264–272. https://doi.org/10.1016/j.chb.2016.11.001
Hsiao, C., Chang, L. J., & Tang, K. (2015). Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives. TELEMATICS AND INFORMATICS. https://doi.org/10.1016/j.tele.2015.08.014
Hsu, C. L., & Lin, J. C. C. (2015). What drives purchase intention for paid mobile apps?-An expectation confirmation model with perceived value. Electronic Commerce Research and Applications, 14(1), 46–57. https://doi.org/10.1016/j.elerap.2014.11.003
Hsu, C., & Lin, J. C. (2016). Technological Forecasting & Social Change Effect of perceived value and social in fl uences on mobile app stickiness and in-app purchase intention. Technological Forecasting & Social Change. https://doi.org/10.1016/j.techfore.2016.04.012
Hsu, C., & Lin, J. C. (2020). Examining Social Networking O2O Apps User Loyalty Examining Social Networking O2O Apps User Loyalty. https://doi.org/10.1080/08874417.2018.1535261
Ibrahim, A. N. H., & Borhan, M. N. (2020). The Interrelationship Between Perceived Quality, Perceived Value and User Satisfaction Towards Behavioral Intention in Public Transportation: A Review of the Evidence. International Journal on Advanced Science, Engineering and Information Technology, 10(5), 2048. https://doi.org/10.18517/ijaseit.10.5.12818
Jia, H., & Xu, H. (2015). Measuring individuals’ concerns over collective privacy on social networking sites. 2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/10.1016/j.dss.2007.07.001
Krejcie, R. V, & Morgan, D. W. (1970). Determining sample size for research activities. Education and Psychological Measurement, 30, 607–610. https://doi.org/10.1177/001316447003000308
Lankton, N. K., & McKnight, D. H. (2011). What does it mean to trust facebook? Examining technology and interpersonal trust beliefs. Data Base for Advances in Information Systems, 42(2), 32–54. https://doi.org/10.1145/1989098.1989101
Larcker, D. F., Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 456–464. https://doi.org/10.2307/3151312
Lee, M. R., Yen, D. C., & Hsiao, C. Y. (2014). Understanding the perceived community value of Facebook users. Computers in Human Behavior, 35, 350–358. https://doi.org/10.1016/j.chb.2014.03.018
Lee, S., Kim, B. G., & Lee, S. (2017). The impact of qualities of social network service on the continuance usage intention. Management Decision, 55(4), 701–729. https://doi.org/10.1108/MD-10-2016-0731
Lin, H., Fan, W., & Chau, P. Y. K. (2014). Determinants of users’ continuance of social networking sites: A self-regulation perspective. Information and Management, 51(5), 595–603. https://doi.org/10.1016/j.im.2014.03.010
Lin, K., Lu, H., & Ph, D. (2011). Intention to Continue Using Facebook Fan Pages from the Perspective of Social Capital Theory. 14(10). https://doi.org/10.1089/cyber.2010.0472
Lita, R. P., & Meuthia. (2018). An empirical study of sme’s embroidery website in Indonesia: A proposed model of website re-visit intention. International Journal on Advanced Science, Engineering and Information Technology, 8(4), 1234–1245. https://doi.org/10.18517/ijaseit.8.4.2647
Newkirk, H. E., & Lederer, A. L. (2006). The effectiveness of strategic information systems planning under environmental uncertainty. Information and Management, 43(4), 481–501. https://doi.org/10.1016/j.im.2005.12.001
Noordin, S., Ashaari, N. S., & Wook, T. S. M. T. (2018). A proposed model for Virtual Fitting Room based on usability and profound emotional elements. International Journal on Advanced Science, Engineering and Information Technology, 8(6), 2332–2340. https://doi.org/10.18517/ijaseit.8.6.6440
O’Rourke, N., & Hatcher, L. (2013). A step-by-step approach to using SAS for factor analysis and structural equation modeling. In The Companion to Language Assessment. https://doi.org/10.1002/9781118411360.wbcla114
Odel, C. O. M. (2001). U NDERSTANDING I NFORMATION S YSTEMS C ONTINUANCE : A N E XPECTATION -. 25(3), 351–370.
Rex B. Kline. (2011). Principles and Practice of Structural Equation Modeling. In The Guilford Press (2nd ed.). The Guilford Press.
Shao, Z., Zhang, L., & Chen, K. (2020). Examining user satisfaction and stickiness in social networking sites from a technology affordance lens : uncovering the moderating effect of user experience. 120(7), 1331–1360. https://doi.org/10.1108/IMDS-11-2019-0614
Sun, Y., Liu, L., Peng, X., Dong, Y., & Barnes, S. J. (2014). Understanding Chinese users’ continuance intention toward online social networks: An integrative theoretical model. Electronic Markets, 24(1), 57–66. https://doi.org/10.1007/s12525-013-0131-9
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203–220. https://doi.org/10.1016/S0022-4359(01)00041-0
Thomas, M. (2020). Do All Roads Lead to Rome ? Exploring the Relationship Between Social Referrals , Referral Propensity and Stickiness to Video-on- Demand Websites. https://doi.org/10.1007/s12599-020-00660-1
Tsai, J. C. A., & Hung, S. Y. (2019). Examination of community identification and interpersonal trust on continuous use intention: Evidence from experienced online community members. Information and Management, 56(4), 552–569. https://doi.org/10.1016/j.im.2018.09.014
Wang, C., Teo, T. S. H. H., & Liu, L. (2020). Perceived value and continuance intention in mobile government service in China. Telematics and Informatics, 48(January), 101348. https://doi.org/10.1016/j.tele.2020.101348
Warner-Søderholm, G., Bertsch, A., Sawe, E., Lee, D., Wolfe, T., Meyer, J., Engel, J., & Fatilua, U. N. (2018). Who trusts social media? Computers in Human Behavior, 81, 303–315. https://doi.org/10.1016/j.chb.2017.12.026
Weisbaum, H. (2019). Trust in Facebook has dropped by 66 percent since the Cambridge Analytica scandal. NBC News, April 18. https://www.nbcnews.com/business/consumer/trust-facebook-has-dropped-51-percent-cambridge-analytica-scandal-n867011
Wongkitrungrueng, A., & Assarut, N. (2020). The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of Business Research, 117, 543–556. https://doi.org/10.1016/j.jbusres.2018.08.032
Wu, C. C., Huang, Y., & Hsu, C. L. (2014). Benevolence trust: A key determinant of user continuance use of online social networks. Information Systems and E-Business Management, 12(2), 189–211. https://doi.org/10.1007/s10257-013-0216-1
Yang, H.-L., & Lin, C.-L. (2014). Why do people stick to Facebook web site? A value theory-based view. Information Technology and People, 27(1), 21–37. https://doi.org/10.1108/ITP-11-2012-0130
Yang, S., Jiang, H., Yao, J., Chen, Y., & Wei, J. (2018). Perceived values on mobile GMS continuance: A perspective from perceived integration and interactivity. Computers in Human Behavior, 89(June), 16–26. https://doi.org/10.1016/j.chb.2018.07.032
Ye, S., Ying, T., Zhou, L., & Wang, T. (2019). Enhancing customer trust in peer-to-peer accommodation: A “soft” strategy via social presence. International Journal of Hospitality Management, 79, 1–10. https://doi.org/10.1016/j.ijhm.2018.11.017
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Zhang, Xing, Liu, S., Chen, X., Wang, L., Gao, B., & Zhu, Q. (2018). Health information privacy concerns, antecedents, and information disclosure intention in online health communities. Information and Management, 55(4), 482–493. https://doi.org/10.1016/j.im.2017.11.003
Zong, W., Yang, J., & Bao, Z. (2019). Social network fatigue affecting continuance intention of social networking services: The case of WeChat users in China’s universities. Data Technologies and Applications, 53(1), 123–139. https://doi.org/10.1108/DTA-06-2018-0054
Amoroso, D. L., & Chen, Y. (2017). Constructs Affecting Continuance Intention in Consumers With Mobile Financial Apps: a Dual Factor Approach. Journal of Information Technology Management, XXVIII(3), 24. http://files/2556/Amoroso and Chen - 2017 - CONSTRUCTS AFFECTING CONTINUANCE INTENTION IN CONS.pdf
Authors, F. (2016). Journal of Research in Interactive Marketing.
Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Sciences , 16(1), 74–94.
Basak, E., & Calisir, F. (2015). An empirical study on factors affecting continuance intention of using Facebook. In Computers in Human Behavior (Vol. 48, Issue April 2016, pp. 181–189). https://doi.org/10.1016/j.chb.2015.01.055
Bataineh, A. Q., Al-Abdallah, G. M., & Alkharabsheh, A. M. (2015). Determinants of continuance intention to use social networking sites SNS’s: studying the case of Facebook. International Journal of Marketing Studies, 7(4), 121–135. https://doi.org/10.5539/ijms.v7n4p121
Beldad, A. D., & Hegner, S. M. (2017). More Photos From Me to Thee: Factors Influencing the Intention to Continue Sharing Personal Photos on an Online Social Networking (OSN) Site among Young Adults in the Netherlands. International Journal of Human-Computer Interaction, 33(5), 410–422. https://doi.org/10.1080/10447318.2016.1254890
Chang, S. E., Liu, A. Y., & Shen, W. C. (2017). User trust in social networking services: A comparison of Facebook and LinkedIn. Computers in Human Behavior, 69, 207–217. https://doi.org/10.1016/j.chb.2016.12.013
Cocosila, M., & Igonor, A. (2014). How important is the “ social ” in social networking ? A perceived value empirical investigation. https://doi.org/10.1108/ITP-03-2014-0055
Cocosila, M., & Igonor, A. (2015). How important is the “social” in social networking? A perceived value empirical investigation. Information Technology and People, 28(2), 366–382. https://doi.org/10.1108/ITP-03-2014-0055
Creswell, J. W. (2009). Creswell, J. (2009), Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 3rd edition, . (3rd (ed.)). Thousand Oaks, Sage Publications.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Duffy, K. (n.d.). WhatsApp says you shouldn’t worry about it sharing personal data with Facebook. Experts say you should switch to “highly trusted” Signal. Businessinsider.
Gan, C., & Wang, W. (2017). The influence of perceived value on purchase intention in social commerce context. Internet Research, 27(4), 772–785. http://10.0.4.84/IntR-06-2016-0164%0Ahttp://search.ebscohost.com/login.aspx?direct=true&db=llf&AN=124365799&site=ehost-live
Gong, X., Liu, Z., Zheng, X., & Wu, T. (2018). Why are experienced users of WeChat likely to continue using the app? Asia Pacific Journal of Marketing and Logistics, 30(4), 1013–1039. https://doi.org/10.1108/APJML-10-2017-0246
Grabner-Kräuter, S., & Bitter, S. (2014). Trust in online social networks: A multifaceted perspective. Forum for Social Economics, 44(1), 48–68. https://doi.org/10.1080/07360932.2013.781517
Ha, H. Y., & Pan, H. (2018). The evolution of perceived security: the temporal role of SNS information perceptions. Internet Research, 28(4), 1055–1078. https://doi.org/10.1108/IntR-02-2017-0047
Hair, J. (2007). Research Methods for Business . New York, NY: Wiley 2007. , ISBN: 0 470 03404 0. In Education + Training (4th ed., Vol. 49, Issue 4). https://doi.org/10.1108/et.2007.49.4.336.2
Hair, J., Black, W., Babin, B., & Anderson, R. (2014). Multivariate Data Analysis. In Pearson custom library. https://doi.org/10.1038/259433b0
Herzallah, F., & Mukhtar, M. (2016). The impact of percieved usefulness, ease of use and trust on managers’ acceptance of e-commerce services in small and medium-sized enterprises (SMEs) in Palestine. International Journal on Advanced Science, Engineering and Information Technology, 6(6), 922–929. https://doi.org/10.18517/ijaseit.6.6.1377
Holbrook, M. B., Wharton, P. G., Carnegie, A. K., Northwestern, L., Stanford, B. M., Ramond, C., Chicago, G. S., & Rutgers, B. W. (2006). Consumption experience , customer value , and subjective personal introspection : An illustrative photographic essay. 59, 714–725. https://doi.org/10.1016/j.jbusres.2006.01.008
Hong, J. C., Lin, P. H., & Hsieh, P. C. (2017). The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch. Computers in Human Behavior, 67, 264–272. https://doi.org/10.1016/j.chb.2016.11.001
Hsiao, C., Chang, L. J., & Tang, K. (2015). Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives. TELEMATICS AND INFORMATICS. https://doi.org/10.1016/j.tele.2015.08.014
Hsu, C. L., & Lin, J. C. C. (2015). What drives purchase intention for paid mobile apps?-An expectation confirmation model with perceived value. Electronic Commerce Research and Applications, 14(1), 46–57. https://doi.org/10.1016/j.elerap.2014.11.003
Hsu, C., & Lin, J. C. (2016). Technological Forecasting & Social Change Effect of perceived value and social in fl uences on mobile app stickiness and in-app purchase intention. Technological Forecasting & Social Change. https://doi.org/10.1016/j.techfore.2016.04.012
Hsu, C., & Lin, J. C. (2020). Examining Social Networking O2O Apps User Loyalty Examining Social Networking O2O Apps User Loyalty. https://doi.org/10.1080/08874417.2018.1535261
Ibrahim, A. N. H., & Borhan, M. N. (2020). The Interrelationship Between Perceived Quality, Perceived Value and User Satisfaction Towards Behavioral Intention in Public Transportation: A Review of the Evidence. International Journal on Advanced Science, Engineering and Information Technology, 10(5), 2048. https://doi.org/10.18517/ijaseit.10.5.12818
Jia, H., & Xu, H. (2015). Measuring individuals’ concerns over collective privacy on social networking sites. 2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/10.1016/j.dss.2007.07.001
Krejcie, R. V, & Morgan, D. W. (1970). Determining sample size for research activities. Education and Psychological Measurement, 30, 607–610. https://doi.org/10.1177/001316447003000308
Lankton, N. K., & McKnight, D. H. (2011). What does it mean to trust facebook? Examining technology and interpersonal trust beliefs. Data Base for Advances in Information Systems, 42(2), 32–54. https://doi.org/10.1145/1989098.1989101
Larcker, D. F., Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 456–464. https://doi.org/10.2307/3151312
Lee, M. R., Yen, D. C., & Hsiao, C. Y. (2014). Understanding the perceived community value of Facebook users. Computers in Human Behavior, 35, 350–358. https://doi.org/10.1016/j.chb.2014.03.018
Lee, S., Kim, B. G., & Lee, S. (2017). The impact of qualities of social network service on the continuance usage intention. Management Decision, 55(4), 701–729. https://doi.org/10.1108/MD-10-2016-0731
Lin, H., Fan, W., & Chau, P. Y. K. (2014). Determinants of users’ continuance of social networking sites: A self-regulation perspective. Information and Management, 51(5), 595–603. https://doi.org/10.1016/j.im.2014.03.010
Lin, K., Lu, H., & Ph, D. (2011). Intention to Continue Using Facebook Fan Pages from the Perspective of Social Capital Theory. 14(10). https://doi.org/10.1089/cyber.2010.0472
Lita, R. P., & Meuthia. (2018). An empirical study of sme’s embroidery website in Indonesia: A proposed model of website re-visit intention. International Journal on Advanced Science, Engineering and Information Technology, 8(4), 1234–1245. https://doi.org/10.18517/ijaseit.8.4.2647
Newkirk, H. E., & Lederer, A. L. (2006). The effectiveness of strategic information systems planning under environmental uncertainty. Information and Management, 43(4), 481–501. https://doi.org/10.1016/j.im.2005.12.001
Noordin, S., Ashaari, N. S., & Wook, T. S. M. T. (2018). A proposed model for Virtual Fitting Room based on usability and profound emotional elements. International Journal on Advanced Science, Engineering and Information Technology, 8(6), 2332–2340. https://doi.org/10.18517/ijaseit.8.6.6440
O’Rourke, N., & Hatcher, L. (2013). A step-by-step approach to using SAS for factor analysis and structural equation modeling. In The Companion to Language Assessment. https://doi.org/10.1002/9781118411360.wbcla114
Odel, C. O. M. (2001). U NDERSTANDING I NFORMATION S YSTEMS C ONTINUANCE : A N E XPECTATION -. 25(3), 351–370.
Rex B. Kline. (2011). Principles and Practice of Structural Equation Modeling. In The Guilford Press (2nd ed.). The Guilford Press.
Shao, Z., Zhang, L., & Chen, K. (2020). Examining user satisfaction and stickiness in social networking sites from a technology affordance lens : uncovering the moderating effect of user experience. 120(7), 1331–1360. https://doi.org/10.1108/IMDS-11-2019-0614
Sun, Y., Liu, L., Peng, X., Dong, Y., & Barnes, S. J. (2014). Understanding Chinese users’ continuance intention toward online social networks: An integrative theoretical model. Electronic Markets, 24(1), 57–66. https://doi.org/10.1007/s12525-013-0131-9
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203–220. https://doi.org/10.1016/S0022-4359(01)00041-0
Thomas, M. (2020). Do All Roads Lead to Rome ? Exploring the Relationship Between Social Referrals , Referral Propensity and Stickiness to Video-on- Demand Websites. https://doi.org/10.1007/s12599-020-00660-1
Tsai, J. C. A., & Hung, S. Y. (2019). Examination of community identification and interpersonal trust on continuous use intention: Evidence from experienced online community members. Information and Management, 56(4), 552–569. https://doi.org/10.1016/j.im.2018.09.014
Wang, C., Teo, T. S. H. H., & Liu, L. (2020). Perceived value and continuance intention in mobile government service in China. Telematics and Informatics, 48(January), 101348. https://doi.org/10.1016/j.tele.2020.101348
Warner-Søderholm, G., Bertsch, A., Sawe, E., Lee, D., Wolfe, T., Meyer, J., Engel, J., & Fatilua, U. N. (2018). Who trusts social media? Computers in Human Behavior, 81, 303–315. https://doi.org/10.1016/j.chb.2017.12.026
Weisbaum, H. (2019). Trust in Facebook has dropped by 66 percent since the Cambridge Analytica scandal. NBC News, April 18. https://www.nbcnews.com/business/consumer/trust-facebook-has-dropped-51-percent-cambridge-analytica-scandal-n867011
Wongkitrungrueng, A., & Assarut, N. (2020). The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of Business Research, 117, 543–556. https://doi.org/10.1016/j.jbusres.2018.08.032
Wu, C. C., Huang, Y., & Hsu, C. L. (2014). Benevolence trust: A key determinant of user continuance use of online social networks. Information Systems and E-Business Management, 12(2), 189–211. https://doi.org/10.1007/s10257-013-0216-1
Yang, H.-L., & Lin, C.-L. (2014). Why do people stick to Facebook web site? A value theory-based view. Information Technology and People, 27(1), 21–37. https://doi.org/10.1108/ITP-11-2012-0130
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