摘要
[目的/意义]用户的信息规避行为不仅会降低社交媒体平台的商业价值,还可能预示着其将退出该平台。因此,识别用户信息规避意图的成因对社交媒体平台来说至关重要。[方法/过程]从C-A-C视角,研究社交媒体用户的信息规避意图。对收集的462份有效数据采用混合方法进行分析,包括结构方程模型(SEM)及模糊集定性比较分析(fsQCA)。[结果/结论]结果显示,信息过载、功能过载、社交过载影响疲倦和不满意情绪,进而影响用户信息规避意图,通过fsQCA方法分析发现两条触发用户信息规避意图的路径。研究结果启示社交媒体平台需要采取信息筛选和功能定制等策略,缓解用户的过载心理和疲倦、不满意等负面情绪,从而避免用户产生信息规避意图,促进平台的持续健康发展。
[Purpose/Significance] Users’ information avoidance behavior not only reduces the business value of social media platforms, but also may predict that they drop using the platform. Therefore, identifying the determinants of users’ information avoidance intention is crucial to social media platforms. [Method/Process] From a C-A-C perspective, this research examined the information avoidance intention of social media users. The paper obtained 462 valid responses and conducted data analysis using a mixed method including structural equation model and fsQCA. [Result/Conclusion] The results indicate that information overload, functional overload and social overload affect fatigue and dissatisfaction, both of which further influence users’ information avoidance intention. By the analysis of fsQCA, the research also identifies two paths that trigger users’ information avoidance intention. The findings reveal that social media platforms should adopt information screening and functional customization to mitigate users’ overload perceptions and negative emotions such as fatigue and dissatisfaction in order to prevent users’ information avoidance intention and promote the continuous development of platforms.
作者
周涛
谢莹莹
邓胜利
Zhou Tao;Xie Yingying;Deng Shengli(School of Management,Hangzhou Dianzi University,Hangzhou 310018;School of Information Management,Wuhan University,Wuhan 430072)
出处
《图书情报工作》
CSSCI
北大核心
2022年第21期78-86,共9页
Library and Information Service
基金
国家自然科学基金项目“社会交互对用户参与社会化商务行为的作用机理研究”(项目编号:71771069)研究成果之一。
