IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/sbjev.html
   My bibliography  Save this paper

Satisfaction of tourists to Hoi An ancient town, Vietnam

Author

Listed:
  • Giao, Ha Nam Khanh
  • Kiem, Dinh
  • , Le Thai Son
  • Dung, Truong Quoc

Abstract

This research uses structural equation modelling (SEM) to test the correlation between service quality of the tourism destination and the satisfaction of the tourists who have visited Hội An ancient town. The research also uses the methods of Cronbach’s Alpha, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and SEM. The result shows that the tourist satisfaction has been affected by 3 factors: (1) Responsiveness; (2) Reliability; and (3) Empathy which were ranked by the importance. The research also raises some suggestions to the management and the tourist businesses at Hội An to enhance the tourists satisfaction.

Suggested Citation

  • Giao, Ha Nam Khanh & Kiem, Dinh & , Le Thai Son & Dung, Truong Quoc, 2018. "Satisfaction of tourists to Hoi An ancient town, Vietnam," OSF Preprints sbjev, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:sbjev
    DOI: 10.31219/osf.io/sbjev
    as

    Download full text from publisher

    File URL: https://osf.io/download/5e3bd258f1369e00d48ac3ec/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/sbjev?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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:osf:osfxxx:sbjev. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.