IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-78471-2_47.html
   My bibliography  Save this book chapter

Measuring and Analyzing Customer Satisfaction Using Multicriteria Satisfaction Analysis (MUSA) Model: The Case of Restaurant Industry in Greece

Author

Listed:
  • Dimitrios Drosos

    (University of West Attica)

  • Stamatios Ntanos

    (University of West Attica)

  • Faidon Komisopoulos

    (University of West Attica)

Abstract

Rapid changes have been recorded in recent years in the restaurant industry in Greece, as repeated crises push one of the most potent “poles” of the Greek economy into a complete transformation. The restaurant market in Greece is one of the most crucial components in the formation and growth of the national product. On the other hand, customer satisfaction and loyalty are among the most critical factors determining sales today. The aim of this paper is to analyze the factors that determine customer satisfaction in restaurants. An electronically structured questionnaire was used for data collection for this research paper. The survey was conducted via simple random sampling from October to November 2023. A total of 377 questionnaires were collected. The results were analyzed using the Multicriteria Satisfaction Analysis (MUSA) model. MUSA is an ordinal regression model based on the principles of multicriteria decision analysis. The research results show that the average satisfaction index is about 85.63%.

Suggested Citation

  • Dimitrios Drosos & Stamatios Ntanos & Faidon Komisopoulos, 2025. "Measuring and Analyzing Customer Satisfaction Using Multicriteria Satisfaction Analysis (MUSA) Model: The Case of Restaurant Industry in Greece," Springer Proceedings in Business and Economics,, Springer.
  • Handle: RePEc:spr:prbchp:978-3-031-78471-2_47
    DOI: 10.1007/978-3-031-78471-2_47
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Restaurant market; Customer satisfaction; MUSA method; Multicriteria analysis;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

    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:spr:prbchp:978-3-031-78471-2_47. 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.