Understanding social media users' information avoidance intention: A CAC perspective
T Zhou, Y Xie - Aslib Journal of Information Management, 2024 - emerald.com
T Zhou, Y Xie
Aslib Journal of Information Management, 2024•emerald.comPurpose Based on the CAC framework, this article examined users' information avoidance
intention in social media platforms. Design/methodology/approach The authors conducted
data analysis using a mixed method of the SEM and fsQCA. Findings The results indicated
that information overload, functional overload and social overload influence fatigue and
dissatisfaction, both of which further determine users' information avoidance intention. The
results of the fsQCA identified two paths that trigger users' information avoidance intention …
intention in social media platforms. Design/methodology/approach The authors conducted
data analysis using a mixed method of the SEM and fsQCA. Findings The results indicated
that information overload, functional overload and social overload influence fatigue and
dissatisfaction, both of which further determine users' information avoidance intention. The
results of the fsQCA identified two paths that trigger users' information avoidance intention …
Purpose
Based on the C-A-C framework, this article examined users' information avoidance intention in social media platforms.
Design/methodology/approach
The authors conducted data analysis using a mixed method of the SEM and fsQCA.
Findings
The results indicated that information overload, functional overload and social overload influence fatigue and dissatisfaction, both of which further determine users' information avoidance intention. The results of the fsQCA identified two paths that trigger users' information avoidance intention.
Originality/value
Extant studies have examined the information avoidance in the contexts of healthcare, academics and e-commerce, but have seldom explored the mechanism underlying users' information avoidance in social media. To fill this gap, this article will empirically investigate users' information avoidance in social media platforms based on the C-A-C framework.
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