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Modeling the Prediction of Continued Usage of COVID-19 mhealth App in India
1st International Conference on Computing, Communication and Green Engineering, CCGE 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1901432
ABSTRACT
Indian m-health app Aarogya Setu has made a significant contribution in terms of contactability tracing and disease management during the initial days of the COVID-19 pandemic, with its contact tracking approach to infectious individuals and its health tips for eliminating new coronaviruses. The goal of this study is to forecast whether or not Indian consumers will continue to use this app. According to previous studies, the context or setting has a substantial impact on the customer's perceived value. The current study's unique setting is to investigate the parameters impacting Indians' ongoing use of the mobile mHealth app AarogyaSetu. An extended technology adoption model (TAM) has been proposed and tested to achieve this wide goal, with the addition of three additional constructs social influence, health consciousness, and trust in the app developer. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 1st International Conference on Computing, Communication and Green Engineering, CCGE 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 1st International Conference on Computing, Communication and Green Engineering, CCGE 2021 Year: 2021 Document Type: Article