微博客用户实时信息分享行为影响因素研究
Factors Influencing Microblog Users Real-Time Information Sharing Behavior: An Empirical Study
DOI: 10.12677/MM.2013.36027, PDF, HTML, 下载: 3,131  浏览: 10,007  国家自然科学基金支持
作者: 金晓玲, 汤振亚:上海大学管理学院,上海;上海大学智慧城市研究院,上海;周中允:同济大学经济与管理学院,上海;金可儿:上海大学管理学院,上海
关键词: 微博实时信息分享行为科技因素分享习惯Microblog; Real-Time Information Sharing; Technological Factors; Sharing Habit
摘要: 本文在以往研究的基础上,建立了微博客用户实时信息分享行为影响因素的研究模型,并提出了科技因素、分享习惯与微博客用户实时信息分享行为之间的研究假设;其中,科技因素由移动性和便捷性两个维度构成。网上问卷调研的方法被采用对所提出的模型和假设进行了实证检验。结果发现,微博客用户的实时信息分享行为受到科技因素和分享习惯的影响,而分享习惯的形成又受到科技因素的影响。
Abstract: This study builds a theoretical model of microblog users sharing behavior of real-time information based on previous related literature. Hypotheses among technological factors, sharing habit and real-time information sharing have been established. The technological factors consist of two dimensions, the mobility and convenience. We conducted an online survey to test the proposed model and hypotheses. The results indicated that technological factors and sharing habit have positive effects on microblog users sharing behavior of real-time information. Sharing habit, in term, was influenced by technological factors.
文章引用:金晓玲, 汤振亚, 周中允, 金可儿. 微博客用户实时信息分享行为影响因素研究[J]. 现代管理, 2013, 3(6): 165-170. http://dx.doi.org/10.12677/MM.2013.36027

参考文献

[1] Agrifoglio, R., Black, S., Metallo, C., et al. (2012) Extrinsic versus intrinsic motivation in continued twitter usage. Journal of Computer Information Systems, 53, 33-41.
[2] 中国互联网络信息中心 (2013) 第31次中国互联网发展状况统计报告. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201301/P020130122600399530412.pdf
[3] 赵越岷, 李梦俊, 陈华平 (2010) 虚拟社区中消费者信息共享行为影响因素的实证研究. 管理学报, 7, 1490-1501.
[4] Choi, Y.S., Lee, H. and Yoo, Y. (2010) The impact of information technology and transactive memory systems on knowledge sharing, application, and team performance: A field study. MIS Quarterly, 34, 855-870.
[5] Jin, X.L., Zhou, Z.Y., Lee, M.K.O., et al. (2013) Why users keep answering questions in online question answering commu- nities: A theoretical and empirical investigation. International Journal of Information Management, 33, 93-104.
[6] Hau, Y.S. and Kim, Y.G. (2011) Why should online gamers share their innovation—Conductive knowledge in the online game user community? Integrating individual motivations and social capital perspective. Computers in Human Behavior, 27, 956- 970.
[7] Chai, S. and Kim, M. (2010) What makes bloggers share know- ledge? An investigation on the role of trust. International Journal of Information Management, 30, 408-415.
[8] Chen, G.M. (2011) Tweet this: A uses and gratifications per- spective on how active twitter use gratifies a need to connect with others. Computers in Human Behavior, 27, 755-762.
[9] 闫幸, 常亚平 (2011) 微博研究综述. 情报杂志, 30, 61- 65.
[10] Hughes, D.J., Rowe, M., Batey, M., et al. (2012) A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Computers in Human Behavior, 28, 561- 569.
[11] Goh, D.H.L. and Lee, C.S. (2011) An analysis of tweets in response to the death of Michael Jackson. Aslib Proceedings: New Information Perspectives, 63, 432-444.
[12] Perterson, R.D. (2012) To tweet or not to tweet: Exploring the determinants of early adoption of twitter by house members in the 111th congress. The Social Science Journal, 49, 430-438.
[13] Zhu, G., Yang, F. and Chen, T. (2012) Study of micro-blog by self-efficacy-based value adoption model. 2012 International Conference on Information Technology and Management Science Proceedings, Berlin.
[14] Toias, E. (2011) Using twitter and other social media platforms to provide situational awareness during an incident. Journal of Business Continuity & Emergency & Planning, 5, 208-223.
[15] Hersberger, J.A., Murray, A.L. and Rioux, K.S. (2007) Examining information exchange and virtual communities: An emergent framework. Online Information Review, 31, 135-147.
[16] 王凤艳, 艾时钟, 厉敏 (2011) 非交易类虚拟社区用户忠诚度影响因素实证研究. 管理学报, 8, 1339-1444.
[17] Wasko, M. and Faraj, M.S. (2000) It is what one does: Why people participate and help others in electronic communities of practice. The Journal of Strategic Information System, 9, 155- 173.
[18] Bhattacherjee, A., Limayem, M. and Cheung, C.M.K. (2012) User switching of information technology: A theoretical syn- thesis and empirical test. Information & Management, 49, 327- 333.
[19] Hernandez, B., Jimenez J. and Martin, M.J. (2009) Key website factors in e-business strategy. International Journal of Infor- mation Management, 29, 362-371.
[20] Ellahi, A. and Bokhari, R.H. (2013) Key quality factors affecting users’ perception of social networking websites. Journal of Retailing and Consumer Services, 20, 120-129.
[21] Zhao, D. and Rosson, B.M. (2009) How and why people twitter: The role of that micro-blogging plays in informal commu- nication at work. Proceedings of the ACM 2009 International Conference on Supporting Group Work, New York.
[22] Limayem, M., Hirt, S.G. and Cheung, C.M.K. (2007) How habit limits the predictive power of intention: The case of information systems continuance. Mis Quarterly, 31, 705-737.
[23] Fisher, K., Naumer, C., Durrance, J., et al. (2005) Something old, something new: Preliminary findings from an exploratory study about people’s information habits and information grounds. Information Research, 10, 10-12.