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Risk, uncertainty and ambiguity amid Covid-19: A multi-national analysis of international travel intentions.

ABSTRACT: This study analyses how Covid-19 shapes individuals' international tourism intentions in context of bounded rationality. It provides a novel analysis of risk which is disaggregated into tolerance/aversion of and competence to manage risks across three different aspects: general, domain (tourism) and situational (Covid-19). The impacts of risk are also differentiated from uncertainty and ambiguity. The empirical study is based on large samples (total = 8962) collected from the world's top five tourism source markets: China, USA, Germany, UK and France. Various risk factors show significant predictive powers of individual's intentions to defer international tourism plans amid Covid-19. Uncertainty and ambiguity intolerance is shown to lead to intentions to take holidays relatively sooner rather than delaying the holiday plans.

SUBMITTER: Williams AM

PROVIDER: S-EPMC8734289 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Risk, uncertainty and ambiguity amid Covid-19: A multi-national analysis of international travel intentions.

Williams Allan M AM Chen Jason Li JL Li Gang G Baláž Vladimír V

Annals of tourism research 20211224

This study analyses how Covid-19 shapes individuals' international tourism intentions in context of bounded rationality. It provides a novel analysis of risk which is disaggregated into tolerance/aversion of and competence to manage risks across three different aspects: general, domain (tourism) and situational (Covid-19). The impacts of risk are also differentiated from uncertainty and ambiguity. The empirical study is based on large samples (total = 8962) collected from the world's top five to ...[more]

PMID: 35013630

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Project description:IntroductionIn December 2020, the first two COVID-19 vaccines were approved in the United States (U.S.) and recommended for distribution to front-line personnel, including nurses. Nursing students are being prepared to fill critical gaps in the health care workforce and have played important supportive roles during the current pandemic. Research has focused on vaccine intentions of current health care providers and less is known about students' intentions to vaccinate for COVID-19.MethodsA national sample of undergraduate nursing students were recruited across five nursing schools in five U.S. regions in December 2020. The survey measured perceived risk/threat of COVID-19, COVID-19 vaccine attitudes, perceived safety and efficacy of COVID-19 vaccines, sources for vaccine information and level of intention to become vaccinated [primary, secondary (i.e., delayed), or no intention to vaccinate].ResultsThe final sample consisted of 772 students. The majority (83.6%) had intentions to be vaccinated, however of those 31.1% indicated secondary intention, a delay in intention or increased hesitancy). The strongest predictors of primary intention were positive attitudes (OR = 6.86; CI = 4.39-10.72), having lower safety concerns (OR = 0.26; CI = 0.18-0.36), and consulting social media as a source of information (OR = 1.56; CI = 1.23-1.97). Asian (OR = 0.47; CI = 0.23-0.97) and Black (OR 0.26; CI = 0.08-0.80) students were more likely to indicate secondary intention as compared to primary intention. Students in the Midwest were most likely to indicate no intention as compared to secondary intention (OR = 4.6; CI = 1.32-16.11).ConclusionsAs the first two COVID-19 vaccines were approved/recommended in the U.S. nursing students had overall high intentions to vaccinate. Findings can guide development of educational interventions that reduce concerns of vaccine safety that are delivered in a way that is supportive and affirming to minoritized populations while being respectful of geo-political differences.

Dataset Information

Risk, uncertainty and ambiguity amid Covid-19: A multi-national analysis of international travel intentions.

Publications

Risk, uncertainty and ambiguity amid Covid-19: A multi-national analysis of international travel intentions.

Similar Datasets

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