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2021
DOI: 10.1016/j.lisr.2021.101108
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Understanding health information literacy of mHealth app users from digital wellbeing perspective: Evidence from regression analysis and fsQCA

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Cited by 12 publications
(5 citation statements)
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“…Furthermore, since the participants in this study are of diverse age and educational backgrounds, it fills the gap identified by (Jumaan et al. , 2020; Fu et al. , 2021; Tran and Nguyen, 2021).…”
Section: Discussionmentioning
confidence: 99%
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“…Furthermore, since the participants in this study are of diverse age and educational backgrounds, it fills the gap identified by (Jumaan et al. , 2020; Fu et al. , 2021; Tran and Nguyen, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Tran and Nguyen (2021) developed a risk-risk tradeoff framework for medical app users using the theory of privacy calculus and the concept of risk-risk tradeoff. In addition, Fu et al (2021) applied a digital well-being framework using regression and fsQCA analysis to understand health information literacy. The above studies tested the conventional IS frameworks with relatively small sample sizes and a specific group of samples or country context (i.e.…”
Section: Study Background 21 Research On the Itu Mhealthmentioning
confidence: 99%
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“…It can be seen that the combination of MRA and fsQCA can not only reveal the correlation between variables and the internal connection between data but also deeply explore the combination of conditions affecting complex social phenomena (Mao & Xu, 2018 ). At present, the combination of MRA and fsQCA have also been applied to many research topics, such as customer engagement (Gligor & Bozkurt, 2020 ), adolescents’ attitudes towards diversity (Guasp-Coll et al, 2021 ), users’ health information literacy (Fu et al, 2021 ), and brand sabotage behavior (Peng et al, 2022 ). However, few scholars have applied the combination of MRA and fsQCA to the research on the PS of enterprise employees.…”
Section: Methodsmentioning
confidence: 99%
“…(45) On one level, mHealth's ability to facilitate healthy lifestyles and behavior modification, for instance, is premised on a multitude of factors, which entails that receiving health information through such mobile technologies is not per se 'synonymous with understanding this information in a way that improves health-related choices'. (46) Here, the difference in expertise between expert patients and prepatient users comes into play. Uncertainties may be less problematic for the 'expert patients' who already have expertise and knowledge at their command, but they are very much present for prepatient users, who, in the absence of a diagnosis, are less likely to have the same resources.…”
Section: Oic Disruptive Innovation and Preventive Medicinementioning
confidence: 99%