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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Abstract
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 |
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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 00:43 |
Last Modified: | 22 Sep 2020 00:43 |
URI: | https://repository.usp.ac.fj/id/eprint/12356 |
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