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Digital health innovation: exploring adoption of COVID-19 digital contact tracing apps

Sharma, Shavneet and Singh, Gurmeet and Sharma, Rashmini and Jones, Paul and Kraus, Sascha and Dwivedi, Yogesh K. (2020) Digital health innovation: exploring adoption of COVID-19 digital contact tracing apps. IEEE Transactions on Engineering Management, TBC . TBC. ISSN 0018-9391

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    With the outbreak of COVID-19, contact tracing is becoming a used intervention to control the spread of this highly infectious disease. This article explores an individual’s intention to adopt COVID-19 digital contact tracing (DCT) apps. A conceptual framework developed for this article combines the procedural fairness theory, dual calculus theory, protection motivation theory, theory of planned behavior, and Hofstede’s cultural dimension theory. The study adopts a quantitative approach collecting data from 714 respondents using a random sampling technique. The proposed model is tested using structural equation modeling. Empirical results found that the perceived effectiveness of privacy policy negatively influenced privacy concerns, whereas perceived vulnerability had a positive influence. Expected personal and community-related outcomes of sharing information positively influenced attitudes toward DCT apps, while privacy concerns had a negative effect. The intention to adopt DCT apps were positively influenced by attitude, subjective norms, and privacy self-efficacy. This article is the first to empirically test the adoption of DCT apps of the COVID-19 pandemic and contributes both theoretically and practically toward understanding factors influencing its widespread adoption.

    Item Type: Journal Article
    Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
    Divisions: Faculty of Business and Economics (FBE) > School of Management and Public Administration
    Depositing User: Shavneet Sharma
    Date Deposited: 22 Sep 2020 12:43
    Last Modified: 22 Sep 2020 12:43

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