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Does International Travel Frequency Affect COVID-19 Biosecurity Behavior in the United States?

Author

Listed:
  • Myung Ja Kim

    (The College of Hotel & Tourism Management, Kyung Hee University, Seoul 02447, Korea)

  • C. Michael Hall

    (Department of Management, Marketing, and Entrepreneurship, University of Canterbury, Christchurch 8140, New Zealand
    Geography Research Unit, University of Oulu, 90014 Oulu, Finland
    Ekonomihögskolan, Linnéuniversitet, Universitetskajen, Landgången 6, 39182 Kalmar, Sweden
    Department of Service Management and Service Studies, Lund University, Campus Helsingborg, 25108 Helsingborg, Sweden)

  • Mark Bonn

    (Dedman School of Hospitality & Tourism Management, Florida State University, Tallahassee, FL 32306-2541, USA)

Abstract

High-quality biosecurity practices are critical to restarting international tourism. Effective market segmentation improves the communication and efficacy of health advice. Travel frequency is an important basis for health-related consumer segmentation, as it is closely related to risk of greater exposure to infectious diseases. Theoretically grounded studies of tourist biosecurity behavior and travel frequency have largely been neglected, although insights into practices and attitudes are especially relevant for coronavirus disease of 2019 (COVID-19 (coronavirus disease of 2019) health responses. Therefore, this research constructed and tested a conceptual model applying Value–Attitude–Behavior theory to US travelers to see whether the frequency of international travel affected tourist COVID-19 related biosecurity behavior. US respondents were drawn from a panel using a quota sampling technique according to the age and gender of American outbound tourists. An online survey was administered in September 2020. The responses (n = 395) of those who traveled internationally within five years were analyzed utilizing partial least squares-structural equation modeling (PLS-SEM) with multi-group analysis. Travel frequency significantly affects biosecurity behavior. High travel frequency (≥8 trips) has the strongest effect of value on biosecurity attitudes, personal norms, social norms, and biosecurity social norms, leading to biosecurity behaviors. Biosecurity behaviors pertaining to medium travel frequency (4–7 trips) are significantly influenced by personal norms. At low travel frequency (1–3 trips) levels, biosecurity behaviors are stimulated by biosecurity attitudes and social norms, showing the highest predictive power among the three groups. This work provides insights into international travel consumer biosecurity practices and behavior. From a market segmentation perspective, the levels of international travel frequency have various influences on biosecurity values, attitudes, personal norms, social norms, and behaviors. The biosecurity behaviors of low-frequency travelers are found to be the most significant of the three groups, suggesting that individuals who travel less frequently are more likely to practice responsible COVID-19 biosecurity behavior.

Suggested Citation

  • Myung Ja Kim & C. Michael Hall & Mark Bonn, 2021. "Does International Travel Frequency Affect COVID-19 Biosecurity Behavior in the United States?," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:4111-:d:535448
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    References listed on IDEAS

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    1. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    2. Ivanov, Stanislav Hristov & Webster, Craig & Stoilova, Elitza & Slobodskoy, Daniel, 2020. "Biosecurity, crisis management, automation technologies, and economic performance of travel, tourism and hospitality companies – a conceptual framework," SocArXiv 2hx6f, Center for Open Science.
    3. Huasong Peng & Muhammad Bilal & Hafiz M. N. Iqbal, 2018. "Improved Biosafety and Biosecurity Measures and/or Strategies to Tackle Laboratory-Acquired Infections and Related Risks," IJERPH, MDPI, vol. 15(12), pages 1-13, November.
    4. C. Michael Hall & Kimberley J. Wood, 2021. "Demarketing Tourism for Sustainability: Degrowing Tourism or Moving the Deckchairs on the Titanic?," Sustainability, MDPI, vol. 13(3), pages 1-15, February.
    5. Jesús García & Lidón Mars & Rosa Arroyo & Daniel Casquero & Floridea di Ciommo & Tomás Ruiz, 2019. "Personal Values, Attitudes and Travel Intentions Towards Cycling and Walking, and Actual Behavior," Sustainability, MDPI, vol. 11(13), pages 1-20, June.
    6. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    7. Jian Ming Luo & Chi Fung Lam, 2020. "Travel Anxiety, Risk Attitude and Travel Intentions towards “Travel Bubble” Destinations in Hong Kong: Effect of the Fear of COVID-19," IJERPH, MDPI, vol. 17(21), pages 1-11, October.
    8. Panayotis Christidis & Aris Christodoulou, 2020. "The Predictive Capacity of Air Travel Patterns during the Global Spread of the COVID-19 Pandemic: Risk, Uncertainty and Randomness," IJERPH, MDPI, vol. 17(10), pages 1-15, May.
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