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社交媒体用户转移行为影响因素模型及实证研究
引用本文:王晰巍,贾若男,王雷,韦亚楠.社交媒体用户转移行为影响因素模型及实证研究[J].图书情报工作,2018,62(18):45-54.
作者姓名:王晰巍  贾若男  王雷  韦亚楠
作者单位:1. 吉林大学管理学院 长春 130022; 2. 吉林大学大数据管理研究中心 长春 130022
基金项目:本文系国家自然科学基金面上项目"信息生态视角下新媒体信息消费行为机理及服务模式创新研究"(项目编号:71673108)和吉林大学高峰学科(群)建设项目研究成果之一。
摘    要:目的/意义]探究社交媒体用户转移行为的影响因素,拓宽社交媒体用户行为的研究范围,以期为相关理论研究提供参考,并对社交媒体运营商提高服务质量、增加用户粘性提供借鉴。方法/过程]基于期望确认理论、沉浸理论以及信息系统成功模型构建理论模型,重点关注社交媒体系统质量、信息质量、服务质量、沉浸体验以及用户社交媒体使用满意度是否会以及会在多大程度上影响用户转移行为。通过问卷调查法获得数据,利用SPSS和AMOS分析软件进行数据的分析和假设的验证。结果/结论]通过分析可知社交媒体系统质量、信息质量、服务质量以及沉浸体验对用户满意度具有正向影响,而用户满意度负向影响转移行为。

关 键 词:社交媒体  转移行为  影响因素  模型  
收稿时间:2018-02-10

Influencing Factors and Empirical Study on Social Media Users' 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.
Authors:Wang Xiwei  Jia Ruonan  Wang Lei  Wei Yanan
Institution:1. School of Management, Jilin University, Changchun 130022; 2. Big Data Management Research Center, Jilin University, Changchun 130022
Abstract: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.
Keywords:social media  switching behavior  influencing factors  model  
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