Abstract

This study looks into how the ban on tourism, digital payments, and the spread of COVID-19 in India interact. With the use of a structural equation model that has been verified by confirmatory factor analysis, the study makes use of primary data collected from inhabitants of India using a five-point Likert scale. The results show a strong three-factor structural model with excellent fit and dependability. The main goal is to learn more about the public's knowledge and readiness for COVID-19 transmission control and evaluate how well digital payments and travel bans work to stop the virus's spread. In addition to providing empirical testing to clarify the untested model, the report highlights the critical roles that digital payment methods and tourism play in tackling the pandemic's issues. This study adds empirical support to the body of literature, illuminating the hitherto unexplored relationship between digital payments, tourism-related treatments, and their ability to lessen the effects of COVID-19. The findings offer a thorough grasp of the possible contributions of digital payment products and tourist rules in the larger framework of pandemic control, in addition to offering insightful information for policymakers.

Full Text
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