IDEAS home Printed from https://ideas.repec.org/a/epw/ejbmr0/v8y2023i6id52113.html

A Study on the Consumers’ Satisfaction Extension for Self-service Technology and the Role of Demographic Characteristics in Hong Kong Fast-food Restaurants During the COVID-19 Epidemic

Author

Listed:
  • Wing Ying Mo

    (Division of Commerce, City University of Hong Kong, China)

  • Xiaofen Xu

    (Glyndwr University, UK)

Abstract

This study explores the effects of perceived ease of use, perceived usefulness, service speed, and perceived enjoyment on experience satisfaction and experience extension when Hong Kong fast-food restaurant consumers use self-service technology and the impact of different consumer characteristics on the degree of different experience satisfaction. Using a mixed research method, combining qualitative and quantitative methods, using focus groups and literature discussions as the collection of qualitative data, using interview questionnaires and large-scale questionnaires as the collection of quantitative data. Moreover, recovering effective data by snowballing is one of the non-probability methods. There are 315 questionnaires in total. Using the SPSS system to analyze the collected data, the results show that all factors are essential, and the relationship between each group of variables is positively correlated. Age, gender, and education level of consumer characteristics all have significant differences in experience satisfaction, while income and marital status have no significant differences in experience satisfaction. It is recommended that policymakers, technology providers, and industry work together to improve existing technologies and allow seniors to have a more inclusive experience, reduce the gap in experience satisfaction among consumers with different educational levels, and increase the satisfaction of the self-service experience of consumers with lower education levels.

Suggested Citation

  • Wing Ying Mo & Xiaofen Xu, 2023. "A Study on the Consumers’ Satisfaction Extension for Self-service Technology and the Role of Demographic Characteristics in Hong Kong Fast-food Restaurants During the COVID-19 Epidemic," European Journal of Business and Management Research, European Open Science, vol. 8(6), pages 17-26, November.
  • Handle: RePEc:epw:ejbmr0:v:8:y:2023:i:6:id:52113
    DOI: 10.24018/ejbmr.2023.8.6.2113
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejbmr/article/view/52113
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejbmr/article/download/52113/7916
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejbmr.2023.8.6.2113?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:epw:ejbmr0:v:8:y:2023:i:6:id:52113. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejbmr .

    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.