IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i12p6314-d572799.html
   My bibliography  Save this article

Get Close to the Robot: The Effect of Risk Perception of COVID-19 Pandemic on Customer–Robot Engagement

Author

Listed:
  • Jifei Wu

    (School of Business, Sun Yat-Sen University, No. 135, Xingang Xi Road, Guangzhou 510275, China)

  • Xiangyun Zhang

    (School of Business, Sun Yat-Sen University, No. 135, Xingang Xi Road, Guangzhou 510275, China)

  • Yimin Zhu

    (School of Business, Sun Yat-Sen University, No. 135, Xingang Xi Road, Guangzhou 510275, China)

  • Grace Fang Yu-Buck

    (School of Business and Technology, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA)

Abstract

The purpose of this study was to examine the effect of the COVID-19 pandemic on customer–robot engagement in the Chinese hospitality industry. Analysis of a sample of 589 customers using service robots demonstrated that the perceived risk of COVID-19 has a positive influence on customer–robot engagement. The positive effect is mediated by social distancing and moderated by attitudes towards risk. Specifically, the mediating effect of social distancing between the perceived risk of COVID-19 and customer–robot engagement is stronger for risk-avoiding (vs. risk-seeking) customers. Our results provide insights for hotels when they employ service robots to cope with the shock of COVID-19 pandemic.

Suggested Citation

  • Jifei Wu & Xiangyun Zhang & Yimin Zhu & Grace Fang Yu-Buck, 2021. "Get Close to the Robot: The Effect of Risk Perception of COVID-19 Pandemic on Customer–Robot Engagement," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:12:p:6314-:d:572799
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/12/6314/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/12/6314/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Morgan-Thomas, Anna & Dessart, Laurence & Veloutsou, Cleopatra, 2020. "Digital ecosystem and consumer engagement: A socio-technical perspective," Journal of Business Research, Elsevier, vol. 121(C), pages 713-723.
    2. van der Pol, Marjon & Ruggeri, Matteo, 2008. "Is risk attitude outcome specific within the health domain?," Journal of Health Economics, Elsevier, vol. 27(3), pages 706-717, May.
    3. John T. Kulas & Mana Komai & Saint Cloud State University & Philip J. Grossman, 2013. "Leadership, Information, and Risk Attitude: A Game Theoretic Approach," Monash Economics Working Papers 30-13, Monash University, Department of Economics.
    4. Forlani, David & Mullins, John W., 2000. "Perceived risks and choices in entrepreneurs' new venture decisions," Journal of Business Venturing, Elsevier, vol. 15(4), pages 305-322, July.
    5. Sheth, Jagdish, 2020. "Impact of Covid-19 on consumer behavior: Will the old habits return or die?," Journal of Business Research, Elsevier, vol. 117(C), pages 280-283.
    6. Stanislav Ivanov & Faruk Seyitoğlu & Martina Markova, 2020. "Hotel managers’ perceptions towards the use of robots: a mixed-methods approach," Information Technology & Tourism, Springer, vol. 22(4), pages 505-535, December.
    7. Fellner, Gerlinde & Maciejovsky, Boris, 2007. "Risk attitude and market behavior: Evidence from experimental asset markets," Journal of Economic Psychology, Elsevier, vol. 28(3), pages 338-350, June.
    8. Logg, Jennifer M. & Minson, Julia A. & Moore, Don A., 2019. "Algorithm appreciation: People prefer algorithmic to human judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 151(C), pages 90-103.
    9. Hollebeek, Linda D. & Glynn, Mark S. & Brodie, Roderick J., 2014. "Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation," Journal of Interactive Marketing, Elsevier, vol. 28(2), pages 149-165.
    10. Paul Slovic & Melissa L. Finucane & Ellen Peters & Donald G. MacGregor, 2004. "Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality," Risk Analysis, John Wiley & Sons, vol. 24(2), pages 311-322, April.
    11. Charles H. Schwepker, 2019. "Strengthening Customer Value Development and Ethical Intent in the Salesforce: The Influence of Ethical Values Person–Organization Fit and Trust in Manager," Journal of Business Ethics, Springer, vol. 159(3), pages 913-925, October.
    12. Gidengil, C.A. & Parker, A.M. & Zikmund-Fisher, B.J., 2012. "Trends in risk perceptions and vaccination intentions: A longitudinal study of the first year of the H1N1 pandemic," American Journal of Public Health, American Public Health Association, vol. 102(4), pages 672-679.
    13. Xueming Luo & Siliang Tong & Zheng Fang & Zhe Qu, 2019. "Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases," Marketing Science, INFORMS, vol. 38(6), pages 937-947, November.
    14. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 537-579.
    15. Campbell, Margaret C & Goodstein, Ronald C, 2001. "The Moderating Effect of Perceived Risk on Consumers' Evaluations of Product Incongruity: Preference for the Norm," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(3), pages 439-449, December.
    16. Brodie, Roderick J. & Ilic, Ana & Juric, Biljana & Hollebeek, Linda, 2013. "Consumer engagement in a virtual brand community: An exploratory analysis," Journal of Business Research, Elsevier, vol. 66(1), pages 105-114.
    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. Li Li & Yiting Dong & Wen Shuai, 2024. "Navigating Epidemics: the Interplay of Risk Perception, Information Diversity, and Healthy Eating Behaviors During the COVID-19 Pandemic," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14521-14545, September.
    2. Merdin-Uygur, Ezgi & Ozturkcan, Selcen, 2023. "Consumers and service robots: Power relationships amid COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).

    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. Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Gerrath, Maximilian H.E.E. & Biraglia, Alessandro, 2021. "How less congruent new products drive brand engagement: The role of curiosity," Journal of Business Research, Elsevier, vol. 127(C), pages 13-24.
    3. Schaefers, Tobias & Falk, Tomas & Kumar, Ashish & Schamari, Julia, 2021. "More of the same? Effects of volume and variety of social media brand engagement behavior," Journal of Business Research, Elsevier, vol. 135(C), pages 282-294.
    4. Banik, Shanta, 2021. "Exploring the involvement-patronage link in the phygital retail experiences," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    5. Nazir, Sajjad & Khadim, Sahar & Ali Asadullah, Muhammad & Syed, Nausheen, 2023. "Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach," Technology in Society, Elsevier, vol. 72(C).
    6. Capeau, Fanny & Valette-Florence, Pierre & Cova, Véronique, 2024. "A consumer demands-resources model of engagement: Theoretical and managerial contributions from a cross-validated predictive ability test procedure," Journal of Business Research, Elsevier, vol. 177(C).
    7. Osei-Frimpong, Kofi & McLean, Graeme & Islam, Nazrul & Appiah Otoo, Brigid, 2022. "What drives me there? The interplay of socio-psychological gratification and consumer values in social media brand engagement," Journal of Business Research, Elsevier, vol. 146(C), pages 288-307.
    8. Sophie Massin & Antoine Nebout & Bruno Ventelou, 2018. "Predicting medical practices using various risk attitude measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(6), pages 843-860, July.
    9. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
    10. Bruneau, Virginie & Swaen, Valérie & Zidda, Pietro, 2018. "Are loyalty program members really engaged? Measuring customer engagement with loyalty programs," Journal of Business Research, Elsevier, vol. 91(C), pages 144-158.
    11. Coelho, Pedro Simões & Rita, Paulo & Santos, Zélia Raposo, 2018. "On the relationship between consumer-brand identification, brand community, and brand loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 101-110.
    12. Wang, Tien & Lee, Fu-Yu, 2020. "Examining customer engagement and brand intimacy in social media context," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    13. Luo, Xi & Cheah, Jun-Hwa & Hollebeek, Linda D. & Lim, Xin-Jean, 2024. "Boosting customers’ impulsive buying tendency in live-streaming commerce: The role of customer engagement and deal proneness," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    14. Dessart, Laurence & Pitardi, Valentina, 2019. "How stories generate consumer engagement: An exploratory study," Journal of Business Research, Elsevier, vol. 104(C), pages 183-195.
    15. Tony Cooper & Constantino Stavros & Angela R. Dobele, 2019. "The levers of engagement: an exploration of governance in an online brand community," Journal of Brand Management, Palgrave Macmillan, vol. 26(3), pages 240-254, May.
    16. Caliendo, Marco & Cobb-Clark, Deborah A. & Obst, Cosima & Uhlendorff, Arne, 2023. "Risk preferences and training investments," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 668-686.
    17. Martijn Adriaan Boermans & Daan Willebrands, 2017. "Entrepreneurship, risk perception and firm performance," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 31(4), pages 557-569.
    18. Caitlin McLaughlin & Kai Haverila & Matti Haverila, 2022. "Gratifications sought versus gratifications achieved in online brand communities: satisfaction and motives of lurkers and posters," Journal of Brand Management, Palgrave Macmillan, vol. 29(2), pages 190-207, March.
    19. Boisvert, Jean & Christodoulides, George & Sajid Khan, M., 2023. "Toward a better understanding of key determinants and consequences of masstige consumption," Journal of Business Research, Elsevier, vol. 161(C).
    20. Zhu, Yimin & Zhang, Jiemin & Wu, Jifei & Liu, Yingyue, 2022. "AI is better when I'm sure: The influence of certainty of needs on consumers' acceptance of AI chatbots," Journal of Business Research, Elsevier, vol. 150(C), pages 642-652.

    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:12:p:6314-:d:572799. 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.