A meta-analysis of a comprehensive m-health technology acceptance

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dc.contributor.authorCalegari, Luiz Philipi
dc.contributor.authorBarkokebas, R. D.
dc.contributor.authorFettermann, Diego Castro
dc.date.accessioned2025-01-20T17:12:11Z
dc.date.available2025-01-20T17:12:11Z
dc.date.issued2024
dc.description.abstractPurposeThe evolution of e-health technologies presents promising alternatives for health-care excellence. Despite the benefits arising from mobile e-health (m-health) and wearables technologies, the literature stands many contradictories signs regarding how users accept and engage in using these technologies. This study aims to synthesize the estimations about m-health user acceptance technologies. Design/methodology/approachA meta-analytic structural equation modeling was carried out using the 778 relationships estimated by 100 previous research. The estimations follow the relations and constructs proposed in the UTAUT2 technological acceptance model. FindingsThe results indicate the performance expectancy, effort expectancy, social influence and habit constructs are most important for predicting the behavioral intention of use of m-health technologies. The Latin American users of e-health technologies are still underestimated in the literature. Originality/valueThe study presents a guide to understanding the acceptance process of m-health technologies and delivers a general orientation for developing new m-health devices considering their acceptance by users.
dc.description.funderConselho Nacional de Desenvolvimento Cientifico e Tecnologico
dc.fuente.origenWOS
dc.identifier.doi10.1108/IJLSS-01-2023-0012
dc.identifier.eissn2040-4174
dc.identifier.issn2040-4166
dc.identifier.urihttps://doi.org/10.1108/IJLSS-01-2023-0012
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/91236
dc.identifier.wosidWOS:000962864900001
dc.issue.numero1
dc.language.isoen
dc.pagina.final21
dc.pagina.inicio1
dc.revistaInternational journal of lean six sigma
dc.rightsacceso restringido
dc.subjectTechnology acceptance
dc.subjectE-health
dc.subjectWearable
dc.subjectDecision support system
dc.subjectInformation technology
dc.subject.ods04 Quality Education
dc.subject.odspa04 Educación de calidad
dc.titleA meta-analysis of a comprehensive m-health technology acceptance
dc.typeartículo
dc.volumen15
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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