IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i19p11961-d921580.html
   My bibliography  Save this article

Initial Stage of the COVID-19 Pandemic: A Perspective on Health Risk Communications in the Restaurant Industry

Author

Listed:
  • Xi Wang

    (Culture, Creativity and Management, School of Culture and Creativity, BNU-HKBU United International College, Zhuhai 519085, China)

  • Liang Tang

    (Department of Apparel, Events and Hospitality Management, College of Human Sciences, Iowa State University, Ames, IA 50011, USA)

  • Linan Zhang

    (Department of Apparel, Events and Hospitality Management, College of Human Sciences, Iowa State University, Ames, IA 50011, USA)

  • Jie Zheng

    (Department of Apparel, Events and Hospitality Management, College of Human Sciences, Iowa State University, Ames, IA 50011, USA)

Abstract

Restaurant online review websites have made changes to adapt to customers’ shifting needs during the COVID-19 crisis. Based on information behavior theory and social penetration theory, the present study investigated the changes in customers’ emotions and how the volume of online reviews as an indication of sales is impacted by the instructional (i.e., with quantitative variables) and emotional (i.e., with qualitative variables) information on review websites. By comparing the same month (January–April) during 2017–2020, positive sentiment experienced a plunge, while negative sentiment showed an upsurge in April 2020. The volume of reviews was impacted by five quantitative variables (i.e., confirmed COVID-19 case number, food delivery option, takeout option, delivery fee, and delivery time) and seven qualitative variables (i.e., anticipation, fear, trust, anger, disgust, joy, and sadness). This study provides new insight into understanding information content on review websites during the crisis (e.g., pandemic) from the perspective of health risk communication.

Suggested Citation

  • Xi Wang & Liang Tang & Linan Zhang & Jie Zheng, 2022. "Initial Stage of the COVID-19 Pandemic: A Perspective on Health Risk Communications in the Restaurant Industry," IJERPH, MDPI, vol. 19(19), pages 1-20, September.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:11961-:d:921580
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/19/11961/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/19/11961/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weismayer, Christian & Gunter, Ulrich & Önder, Irem, 2021. "Temporal variability of emotions in social media posts," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    3. Felbermayr, Armin & Nanopoulos, Alexandros, 2016. "The Role of Emotions for the Perceived Usefulness in Online Customer Reviews," Journal of Interactive Marketing, Elsevier, vol. 36(C), pages 60-76.
    4. Miniard, Paul W & Cohen, Joel B, 1983. "Modeling Personal and Normative Influences on Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 169-180, September.
    5. Yang Yang & Keqiao Liu & Siqi Li & Man Shu, 2020. "Social Media Activities, Emotion Regulation Strategies, and Their Interactions on People’s Mental Health in COVID-19 Pandemic," IJERPH, MDPI, vol. 17(23), pages 1-16, December.
    6. Yeo, Vincent Cheow Sern & Goh, See-Kwong & Rezaei, Sajad, 2017. "Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 150-162.
    7. Xuan Sun & Wenting Yang & Tao Sun & Ya Ping Wang, 2018. "Negative Emotion under Haze: An Investigation Based on the Microblog and Weather Records of Tianjin, China," IJERPH, MDPI, vol. 16(1), pages 1-15, December.
    8. Vivianne H. M. Visschers & Ree M. Meertens & Wim W. F. Passchier & Nanne N. K. De Vries, 2009. "Probability Information in Risk Communication: A Review of the Research Literature," Risk Analysis, John Wiley & Sons, vol. 29(2), pages 267-287, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Siyao Liu & Bin Yu & Chan Xu & Min Zhao & Jing Guo, 2022. "Characteristics of Collective Resilience and Its Influencing Factors from the Perspective of Psychological Emotion: A Case Study of COVID-19 in China," IJERPH, MDPI, vol. 19(22), pages 1-19, November.

    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. Das Gupta, Monica & Bongaarts, John & Cleland, John, 2011. "Population, poverty, and sustainable development : a review of the evidence," Policy Research Working Paper Series 5719, The World Bank.
    2. Mekonnen, Daniel Ayalew & Gerber, Nicolas & Matz, Julia Anna, 2018. "Gendered Social Networks, Agricultural Innovations, and Farm Productivity in Ethiopia," World Development, Elsevier, vol. 105(C), pages 321-335.
    3. Feng, Yao, 2011. "Local spillovers and learning from neighbors: Evidence from durable adoptions in rural China," MPRA Paper 33924, University Library of Munich, Germany.
    4. Leavens, Laura & Bauchet, Jonathan & Ricker-Gilbert, Jacob, 2021. "After the project is over: Measuring longer-term impacts of a food safety intervention in Senegal," World Development, Elsevier, vol. 141(C).
    5. Fishman, Arthur & Fishman, Ram & Gneezy, Uri, 2019. "A tale of two food stands: Observational learning in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 101-108.
    6. Liverpool-Tasie, Lenis Saweda O. & Winter-Nelson, Alex, 2009. "Poverty status and the impact of social networks on smallholder technology adoption in rural Ethiopia," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49357, Agricultural and Applied Economics Association.
    7. Smale, Melinda & Assima, Amidou & Kergna, Alpha & Thériault, Veronique & Weltzien, Eva, 2016. "Farm Family Effects Of Improved Sorghum Varieties In Mali: A Multivalued Treatment Approach," Feed the Future Innovation Lab for Food Security Policy Research Papers 259076, Michigan State University, Department of Agricultural, Food, and Resource Economics, Feed the Future Innovation Lab for Food Security (FSP).
    8. Sauer, Johannes & Zilberman, David, 2009. "Innovation Behaviour At Farm Level – Selection And Identification," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51073, Agricultural Economics Society.
    9. Fujin Yi & Richard T. Gudaj & Valeria Arefieva & Renata Yanbykh & Svetlana Mishchuk & Tatiana A. Potenko & Jiayi Zhou & Ivan Zuenko, 2020. "Chinese Technology Transfer to Local Farmers in the Russian Far East," American Journal of Economics and Sociology, Wiley Blackwell, vol. 79(5), pages 1483-1509, November.
    10. Ariel BenYishay & A. Mushfiq Mobarak, 2014. "Social Learning and Communication," NBER Working Papers 20139, National Bureau of Economic Research, Inc.
    11. Christoph Riedl & Eric Bogert, 2024. "Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity," Papers 2409.18660, arXiv.org.
    12. Assima, Amidou & Smale, Melinda & Kergna, Alpha, 2016. "Impacts of improved sorghum varieties on farm families in Mali: A Multivalued Treatment Effects approach," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246962, African Association of Agricultural Economists (AAAE).
    13. Terrance Hurley & Jawoo Koo & Kindie Tesfaye, 2018. "Weather risk: how does it change the yield benefits of nitrogen fertilizer and improved maize varieties in sub‐Saharan Africa?," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 711-723, November.
    14. Magnan, Nicholas & Spielman, David J. & Lybbert, Travis J. & Gulati, Kajal, 2015. "Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits," Journal of Development Economics, Elsevier, vol. 116(C), pages 223-251.
    15. Schaling, Eric & Eijffinger, Sylvester & Tesfaselassie, Mewael, 2004. "Heterogenous information about the term structure, least-squares learning and optimal rules for inflation targeting," Research Discussion Papers 23/2004, Bank of Finland.
    16. Goyal, Sanjeev & Heidari, Hoda & Kearns, Michael, 2019. "Competitive contagion in networks," Games and Economic Behavior, Elsevier, vol. 113(C), pages 58-79.
    17. Fafchamps, Marcel & Islam, Asad & Malek, Mohammad Abdul & Pakrashi, Debayan, 2020. "Can referral improve targeting? Evidence from an agricultural training experiment," Journal of Development Economics, Elsevier, vol. 144(C).
    18. Khushbu Mishra & Abdoul G. Sam & Gracious M. Diiro & Mario J. Miranda, 2020. "Gender and the dynamics of technology adoption: Empirical evidence from a household‐level panel data," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 857-870, November.
    19. Milla Nyyssölä & Jukka Pirttilä & Susanna Sandström, 2014. "Technology Adoption and Food Security in Subsistence Agruculture – Evidence from a Group-Based Aid Project in Mozambique," Finnish Economic Papers, Finnish Economic Association, vol. 27(1), pages 1-33, Autumn.
    20. Stylos, Nikolaos & Vassiliadis, Chris A. & Bellou, Victoria & Andronikidis, Andreas, 2016. "Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination," Tourism Management, Elsevier, vol. 53(C), pages 40-60.

    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:19:y:2022:i:19:p:11961-:d:921580. 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.