A model for the acceptance and use of mHealth in South Africa: A UTAUT and TTF perspective

dc.article.end-page92
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dc.contributor.authorLivhuwani Grace, Mongwe
dc.contributor.supervisorHughes, Mitchell
dc.contributor.supervisorKekwaletswe, Ray
dc.date.accessioned2024-06-19T08:43:21Z
dc.date.available2024-06-19T08:43:21Z
dc.date.issued2023
dc.descriptionA research report submitted in partial fulfilment of the requirements for the degree of Master of Commerce to the Faculty of Commerce, Law and Management, MCom Information Systems, University of the Witwatersrand, Johannesburg, 2023
dc.description.abstractScaling up high impact community based mHealth interventions is one of the agenda items mentioned in the National Digital Health Strategy of South Africa for the period 2019 -2024. Although many mHealth interventions have been explored, many of them end up in the pilot phase and do not reach full implementation. A common theme which was found as a possible driver of scalability is designing an mHealth application that considers usability and acceptability by users. The purpose of this study was to synthesize a model for the acceptance and use of mHealth in the South African health sector. A positivist research approach was used to test the adoption factors using the Task-Technology Fit (TTF) and the Unified Theory of Acceptance and Use of Technology (UTAUT). Seven factors that could potentially impact the adoption of mHealth technology in South Africa were tested. The data for the study was collected through an online survey questionnaire which was shared through social media platforms. Results of this study were used to answer questions related to factors that have an impact on the adoption of mHealth applications in the health sector in South Africa. The study found that when adoption factors were combined into the UTAUT and TTF model, the only factor that was significant was facilitating conditions. The study findings in this regard were not consistent with other studies and it is therefore recommend that other scholars explore the reasons for these differences. The other factors were found to be significant when bivariate regression was used to compare the factors to the dependant variable of user acceptance and use of mHealth technology. The study further found that the combined model of Task Technology Fit has a positive impact on the adoption of mHealth technology in South Africa. The implication of the finding is that mHealth designers should build the functionalities of the innovation with the idea of making the task that the innovation supports easier to perform
dc.description.submitterMM2024
dc.facultyFaculty of Commerce, Law and Management
dc.identifier.citationLivhuwani Grace, Mongwe. (2023). A model for the acceptance and use of mHealth in South Africa: A UTAUT and TTF perspective [Master’s dissertation, University of the Witwatersrand, Johannesburg]. WireDSpace. https://hdl.handle.net/10539/38686
dc.identifier.urihttps://hdl.handle.net/10539/38686
dc.language.isoen
dc.publisherUniversity of the Witwatersrand, Johannesburg
dc.rights© 2023 University of the Witwatersrand, Johannesburg. All rights reserved. The copyright in this work vests in the University of the Witwatersrand, Johannesburg. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of University of the Witwatersrand, Johannesburg.
dc.rights.holderUniversity of the Witwatersrand, Johannesburg
dc.schoolSchool of Business Sciences
dc.subjectIT adoption
dc.subjectmHealth adoption
dc.subjectmHealth
dc.subjectUser Acceptance
dc.subjectTTF and UTAUT
dc.subjectUCTD
dc.subject.otherSDG-3: Good health and well-being
dc.titleA model for the acceptance and use of mHealth in South Africa: A UTAUT and TTF perspective
dc.typeDissertation
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