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March 14, 2025Aslib Journal of Information Management7 citations

A behavioral intention model of Gen Z female’ health information behavior on social media

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SASubhan AfifiIBIriana BaktiAYAris Yaman

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Abstract

Purpose This study aims to develop and validate a behavioral intention model for understanding the health information behavior of Generation Z females on social media. The model integrates variables such as familiarity, e-health literacy, trust and altruistic motivation. Design/methodology/approach Conducted in Indonesia, the online survey involved 516 active female Generation Z respondents (aged 17–26) seeking health information on social media in the past six months. Utilizing the partial least squares structural equation model (PLS-SEM), the study employed Smart PLS Version 4.0 for rigorous model validation and hypothesis testing in two stages: measurement and structural model analyses. This encompassed evaluating reliability, convergent validity and discriminant validity. Findings Results indicate that familiarity, e-health literacy, trust and altruistic motivation significantly influence the health information behavior of Generation Z females on social media. Furthermore, both familiarity and e-health literacy positively impact trust in social media as a reliable health information source. The study explores theoretical, managerial and policy implications. Originality/value Social media has become a crucial platform for health-related information, particularly among Generation Z females. Despite this, there is a significant research gap in the behavioral intention model for Generation Z females’ health information behavior on social media. This study introduces a unique information behavioral intention model shedding light on this behavior.

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Afifi et al. (2025) studied this question.

synapsesocial.com/papers/6a16c2f80f965e9c137b943fhttps://doi.org/10.1108/ajim-08-2024-0665
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