IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v333y2024i2d10.1007_s10479-022-05079-3.html
   My bibliography  Save this article

Perceived customer journey innovativeness and customer satisfaction: a mixed-method approach

Author

Listed:
  • Tan Vo-Thanh

    (Excelia Business School, CEREGE (UR 13564))

  • Mustafeed Zaman

    (EM Normandie Business School, Métis Lab)

  • Trung Dam-Huy Thai

    (University of Economics Ho Chi Minh City)

  • Rajibul Hasan

    (Maynooth University)

  • Dagnachew Leta Senbeto

    (The Hong Kong Polytechnic University)

Abstract

This research aims to understand the link between perceived innovativeness and customer satisfaction in the fine-dining catering segment. By employing a mixed-method approach, this paper proposes a multidimensional framework for measuring the perceived innovativeness of restaurants throughout the entire customer journey. Customer satisfaction was measured by considering online customer-generated data from TripAdvisor. The study not only finds a strong correlation between perceived innovativeness and customer satisfaction but also presents how fine-dining restaurants can employ user-generated data to co-innovate entire customer journeys and restaurant experiences. The results highlight menu-, service-, and customer experience-related innovativeness as the three most important criteria for fine-dining restaurant customers. Additionally, the results of the qualitative study indicate that in the context of fine-dining catering, the quality of the dishes, the service, and the customers’ experience with the service staff and chefs are the main elements of satisfaction that restaurants should consider in promoting innovation.

Suggested Citation

  • Tan Vo-Thanh & Mustafeed Zaman & Trung Dam-Huy Thai & Rajibul Hasan & Dagnachew Leta Senbeto, 2024. "Perceived customer journey innovativeness and customer satisfaction: a mixed-method approach," Annals of Operations Research, Springer, vol. 333(2), pages 1019-1044, February.
  • Handle: RePEc:spr:annopr:v:333:y:2024:i:2:d:10.1007_s10479-022-05079-3
    DOI: 10.1007/s10479-022-05079-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-022-05079-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-022-05079-3?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:annopr:v:333:y:2024:i:2:d:10.1007_s10479-022-05079-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.