专题:新媒体环境下服务模式创新及风险管控研究

社交媒体用户转移行为影响因素模型及实证研究

  • 王晰巍 ,
  • 贾若男 ,
  • 王雷 ,
  • 韦亚楠
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  • 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
王晰巍(ORCID:0000-0002-5850-0126),副院长,大数据管理研究中心主任,教授,博士生导师,E-mail:wxw_mail@163.com;贾若男(ORCID:0000-0002-4262-7982),硕士研究生;韦雅楠(ORCID:0000-0002-7416-2403),博士研究生;王雷(ORCID:0000-0002-0199-6343),硕士研究生。

收稿日期: 2018-02-10

  修回日期: 2018-06-14

  网络出版日期: 2018-09-20

基金资助

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。

Influencing Factors and Empirical Study on Social Media Users' Switching Behavior

  • Wang Xiwei ,
  • Jia Ruonan ,
  • Wang Lei ,
  • Wei Yanan
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  • 1. School of Management, Jilin University, Changchun 130022;
    2. Big Data Management Research Center, Jilin University, Changchun 130022

Received date: 2018-02-10

  Revised date: 2018-06-14

  Online published: 2018-09-20

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。

本文引用格式

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 . DOI: 10.13266/j.issn.0252-3116.2018.18.005

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.

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