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Factors Determining the COVID-19 Vaccinated Tourists’ Intention to Repeat Behaviour: An Empirical Perspective for a New Normal

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  • Zheng Kundan

    (School of Times Tourism and Aviation Management, Haikou University of Economics, 1001 Haitao Avenue, Guilinyang University Town, Haikou 571127, China
    School of Hospitality, Tourism and Events, Taylor’s University, Subang Jaya 47500, Malaysia)

  • Md Sazzad Hossain

    (College of Tourism and Hospitality Management (CTHM), International University of Business Agriculture and Technology (IUBAT), Dhaka 1230, Bangladesh)

  • Gamal Sayed Ahmed Khalifa

    (Faculty of Business, Higher Colleges of Technology, Abu Dhabi 41012, United Arab Emirates)

Abstract

This present study examines the factors influencing COVID-19-vaccinated tourists’ intention to repeat behaviour (IRB) in Chinese tourism destinations. Employing purposive sampling, 500 questionnaires were distributed to tourists, and 409 were analysed. The PLS-SEM findings revealed that novelty seeking, diverse attractions, and destination familiarity positively and significantly affect eco-friendly destinations. Furthermore, the place attachment pointedly moderates toward IRB. The eco-friendly destinations and tourist satisfaction have positive and significant effects on IRB. This present study added significant value for the tourism destination to formulate COVID-19 vaccinated tourists on their visitation and may provide an initial blueprint for further investigation.

Suggested Citation

  • Zheng Kundan & Md Sazzad Hossain & Gamal Sayed Ahmed Khalifa, 2022. "Factors Determining the COVID-19 Vaccinated Tourists’ Intention to Repeat Behaviour: An Empirical Perspective for a New Normal," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13888-:d:953442
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    References listed on IDEAS

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    Cited by:

    1. Chun Lei & Md Sazzad Hossain & Elise Wong, 2023. "Determinants of Repurchase Intentions of Hospitality Services Delivered by Artificially Intelligent (AI) Service Robots," Sustainability, MDPI, vol. 15(6), pages 1-17, March.

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