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Can the value-attitude-behavior model and personality predict international tourists’ biosecurity practice during the pandemic?
Kyung Hee University, Republic of Korea.
Linnaeus University, School of Business and Economics, Department of Organisation and Entrepreneurship. University of Canterbury, New Zealand;University of Oulu, Finland;Lund University, Sweden.ORCID iD: 0000-0002-7734-4587
Florida State University, USA.
2021 (English)In: Journal of Hospitality and Tourism Management, ISSN 1447-6770, Vol. 48, p. 99-109Article in journal (Refereed) Published
Abstract [en]

Biosecurity is vital for preventing the introduction of exotic fauna, flora, and disease from one territory into another. Attention to biosecurity measures has become an important element of responses to the COVID-19 pandemic. However, there is limited theoretically informed research on tourist biosecurity behavior. To fill this research gap, an integrated research framework with value-attitude-behavior and personality theories is used to identify what influences tourist biosecurity behavior during the COVID-19 pandemic. Data was collected in September 2020 from Americans who had traveled overseas and analyzed by structural equation modeling, multi-group analysis, and deep learning. Results show that value has the greatest effects on attitude followed by personal and social norm on biosecurity for traveling during the pandemic. Personalities significantly moderate the linkages between attitude, personal norm, and behavior. Deep learning confirmed the best prediction of the current model and the importance of personal norms.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 48, p. 99-109
Keywords [en]
Big five personality, Biosecurity, COVID-19, Deep learning, Tourism, Value-attitude-behavior
National Category
Social Sciences Interdisciplinary
Research subject
Tourism
Identifiers
URN: urn:nbn:se:lnu:diva-112290DOI: 10.1016/j.jhtm.2021.05.014ISI: 000704320600010Scopus ID: 2-s2.0-85107416078Local ID: 2021OAI: oai:DiVA.org:lnu-112290DiVA, id: diva2:1656149
Available from: 2022-05-04 Created: 2022-05-04 Last updated: 2023-05-03Bibliographically approved

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Hall, C. Michael

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf