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Adverse effect of social media on generation Z user's behavior: Government information support as a moderating variable

信息过载 焦虑 社会化媒体 心理学 社会支持 政府(语言学) 移动电话 应用心理学 社会心理学 互联网隐私 计算机科学 万维网 语言学 电信 精神科 哲学
作者
Manu Sharma,Deepak Kaushal,S. K. Joshi
出处
期刊:Journal of Retailing and Consumer Services [Elsevier BV]
卷期号:72: 103256-103256 被引量:43
标识
DOI:10.1016/j.jretconser.2023.103256
摘要

Social media emerged as a primary source of information among young users, but its severe effect on mental state due to information overload, still an area of concern for the researchers. Generation Z users' addiction to the mobile phone/gadgets is increasing with a rise in social media and consequently their behavioral outcomes have transformed completely. Nowadays behavioral issues including stress, fatigue, ‘fear of missing out’ and ‘phubbing’, anxiety etc. rising each day but the relationship among these issues and information overload is less examined. The social media users are unable to filter the trustworthy information due to its enormous size and thus role of information support from government becomes essential. The current study extends the S-O-R theory exploring relationship between the stimulus of enormous information on the responses generated among the Generation Z such as social media fatigue, ‘fear of missing out’, ‘phubbing’ and anxiety. The findings from a sample of 319 users belonging to Generation Z suggest that social media platforms need to understand user's compulsive usage that is resulting into fatigue and consequently anxiety. The role of government information support on reducing fatigue and anxiety is found to be positive. The relationship between ‘fear of missing out’, ‘phubbing’ and anxiety is found significant and shows presence of partial mediation. The study offers significant theoretical and practical implications. It is significant for the service providers and social media platforms to advance interfaces with minimum fatigue for the users and offers information support to the users to reduce stress caused by information load.

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