The Effect of the Precedential Factors on the SNS User’s Revisit and Switching Intention
Previous research about SNS users’ intention was mainly focused on revisit intention, while this study reaches a research conclusion by considering both revisit and switching intention. According to the research result, (1) social interaction and SNS addiction influence other precedential factors; (2) enjoyment and usefulness increase SNS users’ revisit intention; (3) SNS users would not consider switching to another SNS even they have negative opinions about their current SNS. This research result implies that, for SNS enterprises to dominate market, it is required to provide services so that SNS users can actively participate on social interaction activities, and a strategy is necessary to attract and turn SNS users with negative opinions into active participants.
Ahn, T., Ryu, S., and Han, I., “The impact of web quality and playfulness on user acceptance of online retailing,” Information and management, Vol. 44, No. 3, pp. 263-275, 2007.
Bansal, H. S., Taylor, S. F., and James, Y. S., “Migrating to new service providers : Toward a unifying framework of consumers’ switching behaviors,” Journal of the Academy of Marketing Science, Vol. 33, No. 1, pp. 96-115, 2005.
Biong, H., “Satisfaction and loyalty to suppliers within the grocery trade,” European Journal of Marketing, Vol. 27, No. 7, pp. 21-38, 1993.
Boyd, D. M. and Ellison, N. B., “Social network sites : Definition, history, and scholarship,” Journal of Computer-Mediated Communication, Vol. 13, No. 1, pp. 210-230, 2007.
Byun, D. H. and Finnie, G., “Evaluating usability, user satisfaction and intention to revisit for successful e-government websites,” Electronic government, an International Journal, Vol. 8, No. 1, pp. 1- 19, 2011.
Chayko, M., Portable communities : The social dynamics of online and mobile connectedness, State Univ of New York Pr, 2008.
Choi, H. and Choi, Y. J., “The impact of smartphone application quality factors on trust and the users’ continuance intention according to gender,” Journal of Korean Industrial Information Systems Society, Vol. 16, No. 4, pp. 151-162, 2011.
Clark, W. A., Human migration, Sage Publications Beverly Hills, CA, 1986.
Davis, F. D., “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, Vol. 13, No. 3, pp. 319-340, 1989.
Dwyer, C., Hiltz, S. R., and Passerini, K., “Trust and privacy concern within social networking sites : A comparison of facebook and myspace,” AMCIS, Vol. 123, p. 339, 2007.
Fesenmaier, D. R., Xiang, Z., Pan, B., and Law, R., “A framework of search engine use for travel planning,” Journal of Travel Research, Vol. 50, No. 6, pp. 587-601, 2011.
Fischer, E. and Reuber, A. R., “Social interaction via new social media : (how) can interactions on twitter affect effectual thinking and behavior?,” Journal of Business Venturing, Vol. 26, No. 1, pp. 1-18, 2011.
Hackbarth, G., Grover, V., and Yi, M. Y., “Computer playfulness and anxiety : Positive and negative mediators of the system experience effect on perceived ease of use,” Information and management, Vol. 40, No. 3, pp. 221-232, 2003.
Hsieh, J. K., Hsieh, Y. C., Chiu, H. C., and Feng, Y. C., “Post-adoption switching behavior for online service substitutes : A perspective of the push-pull-mooring framework,” Computers in Human Behavior, Vol. 28, No. 5, pp. 1912-1920, 2012.
Hutter, K., Hautz, J., Dennhardt, S., and Fuller, J., “The impact of user interactions in social media on brand awareness and purchase intention : The case of mini on facebook,” Journal of Product and Brand Management, Vol. 22, No. 5/6, pp. 2-2, 2013.
Kang, I., Shin, M. M., and Park, C., “Internet addiction as a manageable resource : A focus on social network services,” Online Information Review, Vol. 37, No. 1, pp. 28-41, 2013.
Kim, S. H. and Park, S. Y., “Influencing Factors for Compliance Intention of Information Security Policy,” The Journal of Society for e-Business Studies, Vol. 16, No. 4, pp. 33-51, 2011.
Katz, M. L. and Shapiro, C., “Technology adoption in the presence of network externalities,” The Journal of Political Economy, Vol. 94, No. 4, pp. 822-841, 1986.
Kim, D. and Chang, H., “Key functional characteristics in designing and operating health information websites for user satisfaction : An application of the extended technology acceptance model,” International Journal of medical Informatics, Vol. 76, No. 11, pp. 790-800, 2007.
Kuss, D. J. and Griffiths, M. D., “Online social networking and addiction-a review of the psychological literature,” International Journal of Environmental Research and Public Health, Vol. 8, No. 9, pp. 3528-3552, 2011.
Kwai Fun IP, R. and Wagner, C., “Weblogging : A study of social computing and its impact on organizations,” Decision Support Systems, Vol. 45, No. 2, pp. 242-250, 2008.
Kwon, O. and Wen, Y., “An empirical study of the factors affecting social network service use,” Computers in Human Behavior, Vol. 26, No. 2, pp. 254-263, 2010.
Lee, B. G., Lee, Y., and Kim, S. J., “What is the most important factor in switching blogs?,” International Journal of Web Based Communities, Vol. 7, No. 1, pp. 83-97, 2011.
Lee, E. S., “A theory of migration,” Demography, Vol. 3, No. 1, pp. 47-57, 1966.
Lee, S. G., Yu, M., Yang, C., and Kim, C., “A model for analyzing churn effect in saturated markets,” Industrial Management and Data Systems, Vol. 111, No. 7, pp. 1024-1038, 2011.
Livingstone, S., “Taking risky opportunities in youthful content creation : Teenagers’ use of social networking sites for intimacy, privacy and self-expression,” New Media and Society, Vol. 10, No. 3, pp. 393-411, 2008.
Low, B. and Johnston, W., “Relationship equity and switching behavior in the adoption of new telecommunication services,” Industrial Marketing Management, Vol. 35, No. 6, pp. 676-689, 2006.
Oliver, R. L., “A cognitive model of the antecedents and consequences of satisfaction decisions,” Journal of Marketing Research, Vol. 17, No. 4, pp. 460-469, 1980.
Park, S. C. and Chung, N. H., “Mediating effects of users’ involvement in an online travel community,” Korean Journal of Hotel Administration, Vol. 22, No. 1, pp. 191-212, 2013.
Roblyer, M., McDaniel, M., Webb, M., Herman, J., and Witty, J. V., “Findings on facebook in higher education : A comparison of college faculty and student uses and perceptions of social networking sites,” The Internet and Higher Education, Vol. 13, No. 3, pp. 134-140, 2010.
Roca, J. C., Chiu, C. M., and Martinez, F. J., “Understanding e-learning continuance intention : An extension of the technology acceptance model,” International Journal of Human-Computer Studies, Vol. 64, No. 8, pp. 683-696, 2006.
Rosen, L. D., Whaling, K., Rab, S., Carrier, L. M., and Cheever, N. A., “Is facebook creating “idisorders?” The link between clinical symptoms of psychiatric disorders and technology use, attitudes and anxiety,” Computers in Human Behavior, Vol. 29, No. 3, pp. 1243-1254, 2013.
Seo, B. M., “The Impact of Perceived Security Control on the Acceptance of Internet Banking,” The Journal of Society for e-Business Studies, Vol. 11, No. 1, pp. 25-52, 2006.
Shin, D. H., “Determinants of customer acceptance of multi-service network : An implication for ip-based technologies,” Information and Management, Vol. 46, No. 1, pp. 16-22, 2009.
Singh, J., “Consumer complaint intentions and behavior : Definitional and taxonomical issues,” The Journal of Marketing, Vol. 52, No. 1, pp. 93-107, 1988.
Spielberger, C. D. and Sarason, I. G., Stress and emotion : Anxiety, anger and curiosity, CRC Press, 2005.
Stephen, A. T. and Toubia, O., “Deriving value from social commerce networks,” Journal of Marketing Research, Vol. 47, No. 2, pp. 215-228, 2010.
Subrahmanyam, K., Reich, S. M., Waechter, N. and Espinoza, G., “Online and offline social networks : Use of social networking sites by emerging adults,” Journal of Applied Developmental Psychology, Vol. 29, No. 6, pp. 420-433, 2008.
Suh, K. H. and Cho, S. H., “An exploratory study on factors related with sns addiction proneness : Focus on covert narcissism, self-presentational motivation, and sense of alienation,” The Korean Journal of Health Psychology, Vol. 18, No. 1, pp. 239-238, 2013.
Tian, Y., Srivastava, J., Huang, T., and Contractor, N., “Social multimedia computing,” Computer, Vol. 43, No. 8, pp. 27-36, 2010.
Van der Heijden, H., “User acceptance of hedonic information systems,” MIS quarterly, Vol. 28, No. 4, pp. 695-704, 2004.
Van Slyke, C., Ilie, V., Lou, H., and Stafford, T., “Perceived critical mass and the adoption of a communication technology,” European Journal of Information Systems, Vol. 16, No. 3, pp. 270-283, 2007.
Wenbo, S., Jang I. J., and Yoo, H. S., “A improved authentication protocol for the forward security,” The Journal of Society for e-Business Studies, Vol. 12, No. 4, pp. 17-27, 2007.
Wikipedia, Social media, http://en.wikipedia.org/wiki/Social_Media, 2013.
Zheng, Y., Xie, X. and Ma, W. Y., “Geolife : A collaborative social networking service among user, location and trajectory,” IEEE Data Engineering Bulletin, Vol. 33, No. 2, pp. 32-40, 2010.
Zhou, T., “Understanding continuance usage of mobile sites,” Industrial Management and Data Systems, Vol. 113, No. 9, pp. 3-3, 2013.
Zhou, T., Li, H., and Liu, Y., “The effect of flow experience on mobile sns users’ loyalty,” Industrial Management and Data Systems, Vol. 110, No. 6, pp. 930-946, 2010.
Zhou, T. and Lu, Y., “Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience,” Computers in Human Behavior, Vol. 27, No. 2, pp. 883-889, 2011.
- There are currently no refbacks.