[Purpose/significance]This paper explored the influencing factors of social media users' switching behavior tobroaden the scope of social media user behavior research, with a view to provide reference for the relevant theoretical research, and provide reference for social media operators to improve service quality and increase user stickiness.[Method/process] Building theoretical models based on Expectation-Confirmation Theory, Flow Theory, and IS Success Model, with a focus on social media system quality, information quality, service quality, flow experience, and users'satisfaction with social media usage, and to what extent users' switchingbehavior will be affected.Data were obtained by questionnaire, SPSS and AMOS analysis software were used to analyze the data and verify the hypothesis.[Result/conclusion] The data results showed that social media system quality, information quality, service quality and flow experience have a positive impact on users' satisfaction, while users' satisfaction negatively affects the switching behavior.
Wang Xiwei
,
Jia Ruonan
,
Wang Lei
,
Wei Yanan
. Influencing Factors and Empirical Study on Social Media Users' Switching Behavior[J]. Library and Information Service, 2018
, 62(18)
: 45
-54
.
DOI: 10.13266/j.issn.0252-3116.2018.18.005
[1] 中国互联网络信息中心.中国互联网络发展状况统计报告[EB/OL].[2017-08-09].http://www.cac.gov.cn/2017-08/04/c_1121427728.htm.
[2] 腾讯.腾讯2017年第二季度及中期业绩[EB/OL].[2017-11-01].https://www.tencent.com/zh-cn/articles/8003451502937229.pdf.
[3] KHAN M L.Social media engagement:what motivates user participation and consumption on YouTube?[J].Computers in human behavior, 2017, 66:236-247.
[4] AZÉRAD P, BESSON O, GUILLÉN GONZÁLEZ F M.Why resist? examining the impact of technological advancement and perceived usefulness on Malaysians' switching intentions:the moderators[J]. Journal of developing areas, 2015, 49(3):65-80.
[5] CHOI J,JUNG J,LEE S W.What causes users to switch from a local to a global social network site? the cultural, social, economic, and motivational factors of Facebook's globalization[J].Computers in human behavior,2013,29(6):2665-2673.
[6] 赵宇翔,张轩慧,宋小康.移动社交媒体环境下用户错失焦虑症(FoMO)的研究回顾与展望[J].图书情报工作,2017,61(8):133-144.
[7] 曹雄飞.理解博客用户向微博的转移[D].合肥:中国科学技术大学,2014.
[8] 李子坤.微博用户向微信迁移的影响因素研究[J].市场周刊:理论研究,2015(11):108-109.
[9] 赵宇翔,彭希羡,朱庆华.社交媒体后续采纳阶段用户转移行为研究——以微信为例[J].情报学报,2016,35(2):208-224.
[10] BANSAL H S, TAYLOR S F. The service provider switching model (SPSM):a model of consumer switching behavior in the services industry[J].Journal of service research,1999,2(2):200-218.
[11] CHANG I,LIU C C,Chen K. The push,pull and mooring effects in virtual migration for social networking sites[J].Information systems journal,2014,24(4):323-346.
[12] OLIVER R L. A cognitive model of the antecedents and consequences of satisfaction decisions[J].Journal of marketing research,1980,17(4):460-469..
[13] 李力,张晋朝.虚拟社区用户持续知识搜寻意愿影响因素研究[J].情报杂志,2016, 35(8):199-203.
[14] 闵庆飞,李红云.微信持续使用意向影响因素的实证研究[J].情报科学,2016, 34(9):61-67.
[15] CSIKSZENTMIHALYI M. Play and intrinsic rewards[J].Humanistic psychology,1975,15(3):41-63.
[16] HUANG M H. Designing Website attributes to induce experiential encounters[J].Computers in human behavior,2003,19(4):425-442.
[17] 张嵩,丁怡琼,郑大庆.社会化网络服务用户理想忠诚研究——基于沉浸理论和信任承诺理论[J].情报杂志, 2013(8):197-203.
[18] CHANG Y P,ZHU D H. The role of perceived social capital and flow experience in building users' continuance intention to social networking sites inChina[J].Computers in human behavior,2012,28(3):995-1001.
[19] 景娟娟.国外沉浸体验研究述评[J].心理技术与应用,2015(3):54-58.
[20] 王文韬,谢阳群,谢笑.关于D&M信息系统成功模型演化和进展的研究[J].情报理论与实践,2014,37(6):73-76.
[21] 刘箫.微博用户转换意向研究[D].北京:对外经济贸易大学,2013.
[22] 李倩,侯碧梅.基于DM和ECM-IT的移动社交网络用户持续使用意图研究[J].信息系统学报,2013(2):50-59.
[23] WU Y L,TAO Y H,LI C P,et al. User-switching behavior in social network sites:a model perspective with drill-down analyses[J].Computers in human behavior,2014, 33(2):92-103.
[24] LIU Y,LIH,XUX,etal.Modeling consumer switching behavior in social network games by exploring consumer cognitive dissonance and change experience[J].Industrial management & data systems,2016,116(4):801-820.
[25] 赵英,范娇颖.大学生持续使用社交媒体的影响因素对比研究——以微信、微博和人人网为例[J].情报杂志,2016(1):188-195.
[26] 李晶,卢小莉,李卓卓.学术社区用户沉浸体验的形成动因及其影响机理研究[J].大学图书情报学刊,2017,35(1):3-8.
[27] ZHANG K Z K,LEE M K O,CHEUNG C M K, et al. Understanding the role of gender in bloggers' switching behavior[J].Decision support systems,2009,47(4):540-546.
[28] 陈昊,李文立,柯育龙.社交媒体持续使用研究:以情感响应为中介[J].管理评论,2016, 28(9):61-71.
[29] 郑君君,刘春燕,沈校亮,等.基于使用与满足理论的社交媒体用户参与研究——考虑问题性使用的中介作用和性别的调节作用[J].技术经济,2017,36(1):123-129.
[30] 张书菖,陈伟达.青年群体微博使用意向实证研究[J].情报科学,2015(7):87-91.
[31] 凯度. 2017中国社交媒体影响报告[EB/OL].[2018-06-14].http://www.199it.com/archives/600059.htm.
[32] 薛杨,许正良.微信营销环境下用户信息行为影响因素分析与模型构建——基于沉浸理论的视角[J].情报理论与实践, 2016, 39(6):104-109.
[33] CHEN Y,SEO D B,DESOUZA K C, et al. Post-adoption switching between technology substitutes:the case of Web browsers[C]//International conference on information systems.Milwaukee:DBLP,2006:116.
