Modeling behavioral intention of using health-related WeChat official accounts through ELM and SCT factors using the PLS-SEM approach.

ABSTRACT: Health-related WeChat Official Accounts are widely used in China. However, limited research has explored how cognitive processing and psychological beliefs influence user behavior on these platforms. Previous studies have rarely examined the cognitive and psychological mechanisms that underlie users' behavioral intention in this context. To address this gap, this study proposes a psychologically grounded dual-pathway model that integrates the Elaboration Likelihood Model (ELM) and Social Cognitive Theory (SCT) to explain how individual information processing and self-efficacy jointly shape user behavioral intention. Data were collected through an online survey (n = 434) conducted from April 11 to May 9, 2024. PLS-SEM was applied using SmartPLS 4.1. The results show that both central and pe

SUBMITTER: Zhang X 

PROVIDER: S-EPMC12304147 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature