IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i8p4111-d535448.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/8/4111/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/8/4111/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Myung Ja Kim & C. Michael Hall & Mark Bonn, 2021. "Factors Affecting Pandemic Biosecurity Behaviors of International Travelers: Moderating Roles of Gender, Age, and Travel Frequency," Sustainability, MDPI, vol. 13(21), pages 1-17, November.
    2. Leiming Li & Yu Zhang, 2023. "An extended theory of planned behavior to explain the intention to use carsharing: a multi-group analysis of different sociodemographic characteristics," Transportation, Springer, vol. 50(1), pages 143-181, February.
    3. Hazem Ali & Ting Chen & Yunhong Hao, 2021. "Sustainable Manufacturing Practices, Competitive Capabilities, and Sustainable Performance: Moderating Role of Environmental Regulations," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    4. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
    5. Mario Silic & Andrea Back, 2016. "The Influence of Risk Factors in Decision-Making Process for Open Source Software Adoption," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 151-185, January.
    6. Gupta, Prashant & Seetharaman, A. & Raj, John Rudolph, 2013. "The usage and adoption of cloud computing by small and medium businesses," International Journal of Information Management, Elsevier, vol. 33(5), pages 861-874.
    7. Asif Khan & Chih-Cheng Chen & Kwanrat Suanpong & Athapol Ruangkanjanases & Santhaya Kittikowit & Shih-Chih Chen, 2021. "The Impact of CSR on Sustainable Innovation Ambidexterity: The Mediating Role of Sustainable Supply Chain Management and Second-Order Social Capital," Sustainability, MDPI, vol. 13(21), pages 1-25, November.
    8. Teller, Christoph & Kotzab, Herbert & Grant, David B., 2012. "The relevance of shopper logistics for consumers of store-based retail formats," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 59-66.
    9. Mehwish Iftikhar & Muhammad Imran Qureshi & Shazia Qayyum & Iram Fatima & Sriyanto Sriyanto & Yasinta Indrianti & Aqeel Khan & Leo-Paul Dana, 2021. "Impact of Multifaceted Workplace Bullying on the Relationships between Technology Usage, Organisational Climate and Employee Physical and Emotional Health," IJERPH, MDPI, vol. 18(6), pages 1-19, March.
    10. M Ashraf Al Haq & Norazlina Abd Wahab & Md. Mahmudul Alam, 2021. "Understanding The Impact Of Institutional Factors On Asnaf Sustainability: A Pls-Sem Approach," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, vol. 7(4), pages 759-790, November.
    11. Osama Sohaib & Kyeong Kang & Mohammad Nurunnabi, 2018. "Gender-Based iTrust in E-Commerce: The Moderating Role of Cognitive Innovativeness," Sustainability, MDPI, vol. 11(1), pages 1-16, December.
    12. Zhang, Chu-Bing & Zhang, Zhuo-Ping & Chang, Ying & Li, Tian-Ge & Hou, Ru-Jing, 2022. "Effect of WeChat interaction on brand evaluation: A moderated mediation model of para-social interaction and affiliative tendency," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    13. Songhong Chen & Jian Ming Luo, 2023. "Understand Delegates Risk Attitudes and Behaviour: The Moderating Effect of Trust in COVID-19 Vaccination," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    14. Maggie Chuoyan Dong & Yulin Fang & Detmar W. Straub, 2017. "The Impact of Institutional Distance on the Joint Performance of Collaborating Firms: The Role of Adaptive Interorganizational Systems," Information Systems Research, INFORMS, vol. 28(2), pages 309-331, June.
    15. Al-Baraa Abdulrahman Al-Mekhlafi & Idris Othman & Ahmed Farouk Kineber & Ahmad A. Mousa & Ahmad M. A. Zamil, 2022. "Modeling the Impact of Massive Open Online Courses (MOOC) Implementation Factors on Continuance Intention of Students: PLS-SEM Approach," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    16. Cassandra France & Debra Grace & Joseph Lo Iacono & Joan Carlini, 0. "Exploring the interplay between customer perceived brand value and customer brand co-creation behaviour dimensions," Journal of Brand Management, Palgrave Macmillan, vol. 0, pages 1-15.
    17. Jinjing Yang & Cong Cao & Chensang Ye & Yangyan Shi, 2022. "Effects of Interface Design and Live Atmosphere on Consumers’ Impulse-Buying Behaviour from the Perspective of Human–Computer Interaction," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    18. María Luisa Pajuelo Moreno & Teresa Duarte-Atoche, 2019. "Relationship between Sustainable Disclosure and Performance—An Extension of Ullmann’s Model," Sustainability, MDPI, vol. 11(16), pages 1-33, August.
    19. Jose Benitez & Laura Ruiz & Ana Castillo & Javier Llorens, 2020. "How corporate social responsibility activities influence employer reputation: The role of social media capability," Post-Print hal-02462583, HAL.
    20. Ascensión Barroso & Óscar R. González-López & Ramón Sanguino & María Buenadicha-Mateos, 2018. "Analysis and Evaluation of the Largest 500 Family Firms’ Websites through PLS-SEM Technique," Sustainability, MDPI, vol. 10(2), pages 1-22, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:4111-:d:535448. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.