Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

dc.contributor.authorAkdur, Görkem
dc.contributor.authorAydın, Mehmet Nafiz
dc.contributor.authorAkdur, Gizdem
dc.date.accessioned2020-11-30T12:16:39Z
dc.date.available2020-11-30T12:16:39Z
dc.date.issued2020
dc.departmentFakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümüen_US
dc.description.abstractBackground: Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical consultations to online apps. These apps usually offer basic features at no cost and charge a premium for advanced features. Although diet apps are now more common and have a larger user base, in general, there is a gap in literature addressing why users intend to use diet apps. We used Diyetkolik, Turkey's most widely used online dietetics platform for 7 years, as a case study to understand the behavioral intentions of users. Objective: The aim of this study was to investigate the factors that influence the behavioral intentions of users to adopt and use mobile health apps. We used the Technology Acceptance Model and extended it by exploring other factors such as price-value, perceived risk, and trust factors in order to assess the technology acceptance of users. Methods: We conducted quantitative research on the Diyetkolik app users by using random sampling. Valid data samples gathered from 658 app users were analyzed statistically by applying structural equation modeling. Results: Statistical findings suggested that perceived usefulness (P<.001), perceived ease of use (P<.001), trust (P<.001), and price-value (P<.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (P=.99). Additionally, there was no statistical significance for age (P=.09), gender (P=.98), or previous app use experience (P=.14) on the intention to use the app. Conclusions: This research is an invaluable addition to Technology Acceptance Model literature. The results indicated that 2 external factors (trust and price-value) in addition to Technology Acceptance Model factors showed statistical relevance with behavioral intention to use and improved our understanding of user acceptance of a mobile health app. The third external factor (perceived risk) did not show any statistical relevance regarding behavioral intention to use. Most users of the Diyetkolik dietetics app were hesitant in purchasing dietitian services online. Users should be frequently reassured about the security of the platform and the authenticity of the platform's dietitians to ensure that users' interactions with the dietitians are based on trust for the platform and the brand.en_US
dc.identifier.citation13
dc.identifier.doi10.2196/16911en_US
dc.identifier.issn2291-5222en_US
dc.identifier.issn2291-5222
dc.identifier.issue10en_US
dc.identifier.pmid33006566en_US
dc.identifier.scopus2-s2.0-85092618131en_US
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3486
dc.identifier.urihttps://doi.org/10.2196/16911
dc.identifier.volume8en_US
dc.identifier.wosWOS:000579120300001en_US
dc.identifier.wosqualityQ1
dc.institutionauthorAydın, Mehmet Nafiz
dc.institutionauthorAydın, Mehmet Nafizen_US
dc.language.isoenen_US
dc.publisherJmır Publıcatıons, Inc, 130 Queens Quay Een_US
dc.relation.journalJmır Mhealth and Uhealthen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMHealthen_US
dc.subjectTechnology acceptanceen_US
dc.subjectUser acceptanceen_US
dc.subjectMobile appsen_US
dc.subjectDiet appsen_US
dc.subjectTechnology Acceptance Modelen_US
dc.subjectTAMen_US
dc.subjectDieteticsen_US
dc.titleAdoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkoliken_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationa66a9279-fa0c-4915-816f-40c93cee4747
relation.isAuthorOfPublication.latestForDiscoverya66a9279-fa0c-4915-816f-40c93cee4747

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