Digital natives' privacy concerns in eHealth platforms

Purpose This study aims to examine the relationship between digital natives' privacy concerns and their attitudes towards eHealth platforms. Design/methodology/approach Using the Antecedents–>Privacy Concerns–>Outcome (APCO) model, an extended concern for information privacy (CFIP) framework with two sub-factors was developed. A total of 339 valid responses were analyzed using partial least squares structural equation modeling. Findings The results revealed that the model explained 24.2% of the variance in attitudes toward eHealth platforms. Information privacy orientation significantly influenced concerns about information collection (ß = 0.239, p < 0.001) and information management (ß = 0.418, p < 0.001). In addition, concerns about information collection significantly influenced attitudes toward the use of eHealth platforms (ß = −0.209, p < 0.001). Research limitations/implications This study generalized eHealth platforms across both public and private healthcare facilities. Therefore, future research could explore potential differences in privacy concerns between these two settings. Practical implications Healthcare providers, eHealth platform developers and policymakers should strengthen compliance with regulations and data privacy policies to ensure the proper handling of personal health information, particularly in relation to information collection and information management concerns. Originality/value This study contributes to the literature on digital natives' privacy concerns by adopting a two-sub-factor CFIP model within the healthcare context.