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Impact of a Banning Indoor Dining Policy on Restaurant Avoidance Behavior during the COVID-19 Outbreak

Author

Listed:
  • Tai-Hsiang Chen

    (College of Management, Yuan Ze University, Taoyuan 32003, Taiwan)

  • Lan-Lung (Luke) Chiang

    (College of Management, Yuan Ze University, Taoyuan 32003, Taiwan)

  • Chen-Chung Ma

    (Department of Healthcare Administration, I-Shou University, Kaohsiung 82445, Taiwan
    These authors contributed equally to this work.)

  • Chiu-Hua Chang

    (Nursing Department, Kaohsiung Veterans General Hospital, Kaohsiung 813414, Taiwan
    These authors contributed equally to this work.)

Abstract

The coronavirus disease 2019 (COVID-19) is spreading around the world, and Taiwan is no exception. Faced with the outbreak of the epidemic, the Taiwan government immediately ordered a policy banning indoor dining. The main purpose of the present research is to extend a Theory of Planned Behavior (TPB) theoretical framework to explore the public perception toward banning indoor dining policy on restaurant avoidance behavior during the COVID-19 outbreak. An online survey was administered in Taiwan during the COVID-19 pandemic from 25 May to 8 June 2021; a total of 326 responses were collected by a convenience sampling method, and partial least square (PLS) analysis was deployed to examine the hypothesized relationships. The results showed that perception toward banning indoor dining policy had independent significant associations with attitude, perceived behavioral control, and restaurant avoidance behavior. Moreover, attitude, perceived behavioral control, and subjective norm had independent significant associations with restaurant avoidance behavior. This study provides theoretical and practical insights into the psychological and behavioral processes involved in policy by the general public during the COVID-19 pandemic, thus helping policymakers to better understand public opinion and responses to policy issues.

Suggested Citation

  • Tai-Hsiang Chen & Lan-Lung (Luke) Chiang & Chen-Chung Ma & Chiu-Hua Chang, 2021. "Impact of a Banning Indoor Dining Policy on Restaurant Avoidance Behavior during the COVID-19 Outbreak," IJERPH, MDPI, vol. 18(14), pages 1-13, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7268-:d:590030
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    1. Kang, Min Jung & Park, Heejun, 2011. "Impact of experience on government policy toward acceptance of hydrogen fuel cell vehicles in Korea," Energy Policy, Elsevier, vol. 39(6), pages 3465-3475, June.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Heesup Han & Amr Al-Ansi & Bee-Lia Chua & Beenish Tariq & Aleksandar Radic & Su-hyun Park, 2020. "The Post-Coronavirus World in the International Tourism Industry: Application of the Theory of Planned Behavior to Safer Destination Choices in the Case of US Outbound Tourism," IJERPH, MDPI, vol. 17(18), pages 1-15, September.
    4. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    5. Ewelina M. Marek-Andrzejewska & Anna Wielicka-Regulska, 2021. "Targeting Youths’ Intentions to Avoid Food Waste: Segmenting for Better Policymaking," Agriculture, MDPI, vol. 11(4), pages 1-22, March.
    6. Yang, Yang & Zhang, Hongru & Chen, Xiang, 2020. "Coronavirus pandemic and tourism: Dynamic stochastic general equilibrium modeling of infectious disease outbreak," Annals of Tourism Research, Elsevier, vol. 83(C).
    Full references (including those not matched with items on IDEAS)

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