JISAR

Abstract: This study proposes and empirically tests an alternative information adoption model to investigate how information quality and religiosity impact people's intake of user-generated COVID vaccination information posted on social media. Our results based on 359 survey responses suggest that the two constructs examined significantly impact the perceived usefulness of the user-generated vaccination information and the subsequent vaccination intention. Furthermore, our model shows that religiosity exerts a supplementary partial mediating impact through the information evaluation process, adding empirical evidence to clarify the inconsistency of direct and indirect effects from extant studies. This theory-guided applied study aims to decipher vaccination intention specifically and contributes to building knowledge about user-generated content and the online information adoption process in general.

Download this article: JISAR - V17 N3 Page 29.pdf

Recommended Citation: Xie, W., Dhillon, G., (2024). Information Adoption of User-Generated Content: An Applied Model for COVID Pandemic Case. Journal of Information Systems Applied Research 17(3) pp 29-42. https://doi.org/10.62273/BJCO6308