2,097
Views
47
CrossRef citations to date
0
Altmetric
Research Article

Understanding WeChat Users’ Behavior of Sharing Social Crisis Information

, &

References

  • Ajzen, I. (2011). The theory of planned behavior. In P. A. Van Lange, A. W. Kruglanski, & T. O. Higgins (Eds.), Theory of planned behavior handbook theories of social psychology (pp. 438). London, UK: Sage Publications.
  • Alexander, D. E. (2014). Social media in disaster risk reduction and crisis management. Science and Engineering Ethics, 20(3), 717–733. doi:https://doi.org/10.1007/s11948-013-9502-z
  • AlQarni, Z. A., Yunus, F., & Househ, M. S. (2016). Health information sharing on Facebook: An exploratory study on diabetes mellitus. Journal of Infection and Public Health, 9(6), 708–712. doi:https://doi.org/10.1016/j.jiph.2016.08.015
  • Amjad, N., & Wood, A. M. (2009). Identifying and changing the normative beliefs about aggression which lead young Muslim adults to join extremist anti-Semitic groups in Pakistan. Aggressive Behavior, 35, 514–519. doi:https://doi.org/10.1002/ab.v35:6
  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. doi:https://doi.org/10.1037/0033-2909.103.3.411
  • Baek, K., Holton, A., Harp, D., & Yaschur, C. (2011). The links that bind: Uncovering novel motivations for linking on Facebook. Computers in Human Behavior, 27(6), 2243–2248.
  • Bagozzi, R. P., Fornell, C., & Larcker, D. F. (1981). Canonical correlation analysis as a special case of a structural relations model. Multivariate Behavioral Research, 16(4), 437.
  • Bai, L., Tang, J., Yang, Y., & Gong, S. (2014). Hygienic food handling intention. an application of the theory of planned behavior in the Chinese cultural context. Food Control, 42(3), 172–180.
  • Bamberg, S., Hunecke, M., & Blöbaum, A. (2007). Social context, personal norms and the use of public transportation: Two field studies. Journal of Environmental Psychology, 27(3), 190–203.
  • Bhattacharya, H. (2016). Mass media exposure and attitude towards spousal violence in India. The Social Science Journal, 53(4), 398–416.
  • Bird, D., Ling, M., & Haynes, K. (2012). Flooding Facebook e the use of social media during the Queensland and Victorian floods. Australian Journal of Emergency Management, 27(1), 27–33.
  • Bordia, P., & DiFonzo, N. (2004). Problem solving in social interactions on the internet: Rumor as social cognition. Social Psychology Quarterly, 67(1), 33–49.
  • Byrne, B. M. (2001). Structural equation modeling with AMOS, EQS, and LISREL: Comparative approaches to testing for the factorial validity of a measuring instrument. International Journal of Testing, 1(1), 55–86.
  • Cha, J. (2013). Predictors of television and online video platform use: A coexistence model of old and new video platforms. Telematics and Informatics, 30(4), 296–310.
  • Chang, C. W., & Chen, G. M. (2014). College students’ disclosure of location-related information on Facebook. Computers in Human Behavior, 35, 33–38.
  • Chang, H. H., & Chuang, S. S. (2011). Social capital and individual motivations on knowledge sharing. Participant Involvement as a Moderator. Information & Management, 48(1), 9–18.
  • Chang, I. C., Liu, C. C., & Chen, K. (2014). The effects of hedonic/utilitarian expectations and social influence on continuance intention to play online games. Internet Research, 24(1), 21–45.
  • Chatfield, A. T., Scholl, H. J., & Brajawidagda, U. (2013). Tsunami early warnings via twitter in government: net-savvy citizens' co-production of time-critical public information services. Government Information Quarterly, 30(4), 377–386.
  • Chen, L., Goh, C. F., Sun, Y., & Rasli, A. (2017). Integrating guanxi, into technology acceptance: An empirical investigation of wechat. Telematics & Informatics, 34(7), 1125–1142.
  • Cheng, H. H., & Huang, S. W. (2013). Exploring antecedents and consequence of online group-buying intention: An extended perspective on theory of planned behavior. International Journal of Information Management, 33(1), 185–198.
  • Cheung, M. F., & To, W. M. (2016). Service co-creation in social media: An extension of the theory of planned behavior. Computers in Human Behavior, 65, 260–266.
  • Chiu, C. M., Hsu, M. H., & Wang, E. T. (2006). Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decision Support Systems, 42(3), 1872–1888.
  • Chung, I. J. (2011). Social amplification of risk in the Internet environment. Risk Analysis, 31(12), 1883–1896.
  • CNNIC. (2017). China Internet network information center report of 2017. Retrieved from http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201701/P020170123364672657408.pdf
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
  • Dimmick, J. W., Sikand, J., & Patterson, S. J. (1994). The gratifications of the household telephone: Sociability, instrumentality, and reassurance. Communication Research, 21(5), 643–663.
  • Echegaray, F., & Hansstein, F. V. (2017). Assessing the intention-behavior gap in electronic waste recycling: The case of brazil. Journal of Cleaner Production, 142(1), 180–190.
  • Eisenberg, N., Fabes, R. A., & Spinrad, T. L. (1998). Prosocial development. New Jersey, US: John Wiley & Sons, Inc.
  • Fatkin, J. M., & Lansdown, T. C. (2015). Prosocial media in action. Computers in Human Behavior, 48, 581–586.
  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
  • Fu, P. W., Wu, C. C., & Cho, Y. J. (2017). What makes users share content on Facebook? Compatibility among psychological incentive, social capital focus, and content type. Computers in Human Behavior, 67, 23–32.
  • Gouldner, A. W. (1960). The norm of reciprocity: A preliminary statement. American Sociological Review, 25(2), 161–178.
  • Hai, A., Moula, M. E., & Seppälä, U. (in press). Results of intention-behaviour gap for solar energy in regular residential buildings in finland. International Journal of Sustainable Built Environment.
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed). Upper Saddle River, NJ: Pearson Prentice Hall.
  • Hjorth, L., & Kim, K.-H. Y. (2011). The mourning after: A case study of social media in the 3.11 earthquake disaster in Japan. Television & New Media, 12(6), 552–559.
  • Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195–204.
  • Jiang, C., Zhao, W., Sun, X., Zhang, K., Zheng, R., & Qu, W. (2016). The effects of the self and social identity on the intention to microblog: An extension of the theory of planned behavior. Computers in Human Behavior, 64, 754–759.
  • Karnik, M., Oakley, I., Venkatanathan, J., Spiliotopoulos, T., & Nisi, V. (2013, February 23–27). Uses & gratifications of a Facebook media sharing group. In Proceedings of the 2013 conference on computer supported cooperative work (pp. 821–826). San Antonio, TX: ACM. doi: https://doi.org/10.1145/2441776.2441868.
  • Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Utilization of mass communication by the individual. In J. G. Blumler & E. Katz (Eds.), The uses of mass communications: Current perspectives on gratifications research (pp. 19e32). Thousand Oaks, London, New Delhi: SAGE Publications.
  • Kim, C., & Yang, S. U. (2017). Like, comment, and share on Facebook: How each behavior differs from the other. Public Relations Review, 43(2), 441–449.
  • Kim, T. (2014). Observation on copying and pasting behavior during the Tohoku earthquake: Retweet pattern changes. International Journal of Information Management, 34(4), 546–555.
  • Kotsiopoulos, I. (2014, December 8–11). Social media in crisis management: Role, potential, and risk. International Conference on Utility and Cloud Computing, London,681–686.
  • Krause, A. E., North, A. C., & Heritage, B. (2014). The uses and gratifications of using Facebook music listening applications. Computers in Human Behavior, 39, 71–77.
  • Lachlan, K. A., Spence, P. R., Lin, X., Najarian, K., & Greco, M. D. (2016). Social media and crisis management. Computers in Human Behavior, 54(C), 647–652.
  • Lee, C. S., & Ma, L. (2012). News sharing in social media: The effect of gratifications and prior experience. Computers in Human Behavior, 28(2), 331–339.
  • Lu, C. S., Lai, K. H., & Cheng, T. C. E. (2007). Application of structural equation modeling to evaluate the intention of shippers to use internet services in liner shipping. European Journal of Operational Research, 180(2), 845–867.
  • Malik, A., Dhir, A., & Nieminen, M. (2016). Uses and gratifications of digital photo sharing on facebook. Telematics and Informatics, 33(1), 129–138.
  • Meade, A. W., Ward, M. K., Allred, C. M., Pappalardo, G., & Stoughton, J. W. (2017). Careless response and attrition as sources of bias in online survey assessments of personality traits and performance. Computers in Human Behavior, 76, 417–430.
  • Moghavvemi, S., Sharabati, M., Paramanathan, T., & Rahin, N. M. (2017). The impact of perceived enjoyment, perceived reciprocal benefits and knowledge power on students’ knowledge sharing through Facebook. The International Journal of Management Education, 15(1), 1–12.
  • Morozov, E. (2010). The net delusion: The dark side of internet freedom. New York, NY: Public Affairs.
  • Oh, O., Agrawal, M., & Rao, H. R. (2011). Information control and terrorism: Tracking the Mumbai terrorist attack through twitter. Information Systems Frontiers, 13, 33–44.
  • Pai, P., & Tsai, H. T. (2016). Reciprocity norms and information-sharing behavior in online consumption communities: An empirical investigation of antecedents and moderators. Information & Management, 53(1), 38–52.
  • Park, N., Kee, K. F., & Valenzuela, S. (2009). Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. Cyberpsychology & Behavior the Impact of the Internet Multimedia & Virtual Reality on Behavior & Society, 12(6), 729–733.
  • Phua, J., Jin, S. V., & Kim, J. J. (2017). Uses and gratifications of social networking sites for bridging and bonding social capital: A comparison of Facebook, Twitter, Instagram, and Snapchat. Computers in Human Behavior, 72, 115–122.
  • Sanstock, John W., & Topical, A. (2007). Approach to life span development (4th, Ch. 15, pp. 489–491). New York, NY: McGraw-Hill.
  • Schumann, J. H., Von Wangenheim, F., & Groene, N. (2014). Targeted online advertising: Using reciprocity appeals to increase acceptance among users of free web services. Journal of Marketing, 78(1), 59–75.
  • Shah, R., & Goldstein, S. M. (2006). Use of structural equation modeling in operations management research: Looking back and forward. Journal of Operations Management, 24, 148–169.
  • Shklovski, I., Burke, M., Kiesler, S., & Kraut, R. (2010). Technology adoption and use in the aftermath of hurricane Katrina in New Orleans. American Behavioral Scientist, 53(8), 1128–1246.
  • Sjöblom, M., Törhönen, M., Hamari, J., & Macey, J. (2017). Content structure is king: An empirical study on gratifications, game genres and content type on Twitch. Computers in Human Behavior, 73, 161–171.
  • Taneja, A., Vitrano, J., & Gengo, N. J. (2014). Rationality-based beliefs affecting individual’s attitude and intention to use privacy controls on Facebook: An empirical investigation. Computers in Human Behavior, 38, 159–173.
  • Tecent. (2017). 2017 Tecent WeChat interim report. Retrieved from June 20, 2017, from http://t.qianzhan.com/caijing/detail/170424-8f9569e1.html
  • Tripathy, R. M., Bagchi, A., & Mehta, S. (2013). Towards combating rumors in social networks: Models and metrics. Intelligent Data Analysis, 17(1), 149–175.
  • Wasko, M. M., & Faraj, S. (2000). “It is what one does”: Why people participate and help others in electronic communities of practice. The Journal of Strategic Information Systems, 9(2), 155–173.
  • Wiertz, C., & De Ruyter, K. (2007). Beyond the call of duty: Why customers contribute to firm-hosted commercial online communities. Organization Studies, 28(3), 347–376.
  • Xie, Y., Qiao, R., Shao, G., & Chen, H. (2017). Research on Chinese social media users’ communication behaviors during public emergency events. Telematics & Informatics, 34(3), 740–754.
  • Yoo, W., Yang, J., & Cho, E. (2016). How social media influence college students’ smoking attitudes and intentions. Computers in Human Behavior, 64, 173–182.
  • Zhao, L., Yin, J., & Song, Y. (2016). An exploration of rumor combating behavior on social media in the context of social crises. Computers in Human Behavior, 58, 25–36.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.