Abstract
The development and penetration of social media have now profoundly affected people’s work and life in various aspects. Reading is no exception, which can be best exemplified by the thriving of social reading. Truly, social reading is not something new, because readers have been socializing over reading for many years in book clubs or salons, where participants used to interact and share views and ideas with each other concerning certain books (Antonio et al in Social reading: platforms, applications, clouds and tags, Chandos Publishing Ltd., Oxford 2013). However, it is only in recent years that social reading has made substantial progress along with the advancement of digital text and social media (Romero in Social reading and the creation of customer loyalty clubs or communities to improve communication with our users and reduce costs in marketing and advertising. Bottom Line 25(2):63–67, 2012). In this sense, the present so-called social reading can be understood as a particular type of digital reading activity featuring the assistance of social reading community or social reading applications (hereafter called SRA). Enabled by SRA, readers can not only add notes or comments on what they read online, but also discuss, share information, and exchange opinions with each other on the virtual community.
This article was sponsored by Project “Research on the Adolescents’ Social Reading in the Age of Social Media” granted by National Planning Office of Philosophy and Social Science (NO. 13CTQ015) and Project “Research on College Students’ Pattern of Behaviors of Social Reading and its Mechanism” granted by Shanghai Jiao Tong University (NO. 14JCY08).
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References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.
Antonio, J., Alonso, J., Gomez, R., & Linder, D. (2013). Social reading: Platforms, applications clouds and tags. Oxford: Chandos Publishing Ltd.
Bandalos, D. L. (2002). The effects of item parceling on goodness-of-fit and parameter estimate bias in structural equation modeling. Structural Equation Modeling, 9(1), 78–102.
Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 25(3), 351–370.
Bhattacherjee, A., Perols, J., & Stanford, C. (2008). Information technology continuance: A theoretical extension and empirical test. Journal of Computer Information Systems, 3(2), 17–26.
Bolton, R. N., & Lemon, K. N. (1999). A dynamic model of customers’ usage of service: Usage as an antecedent and consequence of satisfaction. Journal of Marketing Research, 36, 171–186.
Brown, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S., Lang (Eds.), Testing structural models (pp. 136–162). Newbury Park, CA: Sage.
Constantiou, I. D., Damsgaard, J., & Knutsen, L. (2007). The four incremental steps toward advanced mobile service adoption. Communications of the ACM, 50(6), 51–55.
Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193–218.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982–1003.
Davis, F. D., & Vanketash, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: three experiments. International Journal of Human-Computer Studies, 45(1), 19–45.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: an introduction to theory and research. Cahiers D Études Africaines, 41(4), 842–844.
Jasperson, J., Carter, P. E., & Zumd, R. W. (2005). A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Quarterly, 29(3), 525–557.
Jeong, K. E., & Lee, D. M. (1995). Reciprocal effect of the factors influencing the satisfaction of IS users. Asia Pacific Journal of Information Systems, 5(2), 199–226.
Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183–213.
Kelman, H. C. (1958). Compliance, identification, and internalization: Three processes of attitude change. Journal of Conflict Resolution, 1958(2), 51–60.
Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanism underlying post adoption phenomena. Management Science, 51(5), 741–755.
Li, W. (2014). The motivation of adolescents’ social reading: a case study of middle school students’ reading via WeChat in Shanghai. Journal of Library Science in China, 6, 115–128.
Little, T. D., Cunningham, W. A., Shahar, G., & Widaman, K. F. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Structural Equation Modeling A Multidisciplinary Journal, 9(2), 151–173.
Locke, E. A. (1976). The nature and causes of job satisfaction. In M. D. Dunnette (Ed.), Handbook of Industrial and Organizational Psychology (pp. 1297–1349). Chicago: Rand McNally.
Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173–191.
Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, 33(3), 330–346.
Oliver, R. L. (1981). Measurement and evaluation of satisfaction processes in retail settings. Journal of Retailing, 57(3), 25–48.
Oliver, R. L. (1997). Satisfaction: a behavioral perspective on the consumer. New York: McGraw-Hill.
Patterson, P. G., & Spreng, R. A. (1997). Modelling the relationship between perceived value, satisfaction and repurchase intentions in a business-to-business, services context: an empirical examination. International Journal of Service Industry Management, 8(5), 414–434.
Ram, S., & Jung, H. S. (1991). How product usage influences customer satisfaction. Marketing Letters, 2, 403–411.
Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: Free Press.
Romero, N. (2012). Social reading and the creation of customer loyalty clubs or communities to improve communication with our users and reduce costs in marketing and advertising. The Bottom Line, 25(2), 63–67.
Saga, V. L., & Zmud. R. W. (1994). The nature and determinants of IT acceptance, routinization, and infusion. In L. Levine (Ed.), Proceedings of the IFIP TC8 Working Conference on Diffusion, Transfer and Implementation of Information Technology (pp. 67–86), Amsterdam: Elsevier.
Spreng, R. A., MacKenzie, S. B., & Olshavsky, R. W. (1996). A reexamination of the determinants of consumer satisfaction. Journal of Marketing, 60(July), 15–32.
Sweeney, J. (1994). An investigation of a theoretical model of consumer perceptions of value, unpublished doctoral dissertation. Perth, Australia: Curtain University of Technology.
Tod, M. K. (2015). Social media & social reading—an author’s view. Available at http://www.writersworkshop.co.uk/blog/social-media-social-reading-an-authors-view/. Retrieved August 6, 2015.
Umeng. (2014). Social sharing becomes standard features for APP development. Available at http://www.csdn.net/article/2014-03-12/2818740-umeng-mobile-develop-research. Accessed August 5, 2015.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 45(2), 186–204.
Venkatesh, V., & Davis, M. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. Social Science Electronic Publishing, 36(1), 157–178.
Warshaw, P. R. (1980). A new model for predicting behavioral intentions: An alternative to Fishbein. Journal of Marketing Research, 17, 153–172.
Yang, K. S. (1997). Theories and research in Chinese personality: an indigenous approach. In H. S. Kao & D. Sinha (Eds.), Asian perspectives on psychology (pp. 236–262), New Delhi: Sage Publications.
Yu, A. B., & Yang, K. S. (1994). The nature of achievement motivation in collectivist societies. In U. Kim, H. C. Triandis, C. Kagitchbasi, S. C. Choi & G. Yoon (Eds.), Individualism & collectivism: Theory, method, and applications (pp. 239–250). Thousand Oaks, CA: Sage Publications.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22.
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60, 31–46.
Zheng, Q. Y. (2015). Zaker won best mobile information app in the first APP conference. Available at http://gb.cri.cn/44571/2015/07/09/7872s5025251.htm. Retrieved August 6, 2015.
This article was sponsored by Project “Research on the Adolescents’ Social Reading in the Age of Social Media” granted by National Planning Office of Philosophy and Social Science (NO. 13CTQ015) and Project “Research on College Students’ Pattern of Behaviours of Social Reading and its Mechanism” granted by Shanghai Jiao Tong University (NO. 14JCY08).
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Li, W., Wu, X., Wang, A. (2017). To Stick or to Switch: Understanding Social Reading Apps Continuance by Evidence Collected from Chinese College Students. In: Xue, K., Yu, M. (eds) New Media and Chinese Society. Communication, Culture and Change in Asia, vol 5. Springer, Singapore. https://doi.org/10.1007/978-981-10-6710-5_13
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