IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v24y2021i20p2860-2874.html
   My bibliography  Save this article

A meta-narrative analysis of smart tourism destinations: implications for tourism destination management

Author

Listed:
  • Jennie Gelter
  • Maria Lexhagen
  • Matthias Fuchs

Abstract

The concept of smart tourism destinations has gained increased interest in tourism research. In this study, we show how previous research has shaped the current discourse on smart tourism destinations. By analysing meta-narratives, we outline how the use of language has influenced the research domain of smart tourism destinations. When the scope of a research field is broad and still unclear, a systematic meta-narrative analysis of the literature is recommended, to provide a holistic view and an understanding of how narratives unfold over time. Our findings highlight that there are certain words that dominate the contemporary discourse in this research field, presented as meta-narratives of smart tourism destinations. Our study shows how language plays an important role in providing frameworks for the research discourse and offers a legitimation of master ideas. By analysing the language used in published scientific texts for describing and defining smart tourism destinations, we identify the meta-narratives that build major language-based concepts and how these have formed the research field of smart tourism destinations.

Suggested Citation

  • Jennie Gelter & Maria Lexhagen & Matthias Fuchs, 2021. "A meta-narrative analysis of smart tourism destinations: implications for tourism destination management," Current Issues in Tourism, Taylor & Francis Journals, vol. 24(20), pages 2860-2874, October.
    • Handle: RePEc:taf:rcitxx:v:24:y:2021:i:20:p:2860-2874
    DOI: 10.1080/13683500.2020.1849048
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2020.1849048
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13683500.2020.1849048?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ali Uyar & Cemil Kuzey & Mehmet Ali Koseoglu & Abdullah S Karaman, 2023. "Travel and tourism competitiveness index and the tourism sector development," Tourism Economics, , vol. 29(4), pages 1005-1031, June.

    More about this item

    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:taf:rcitxx:v:24:y:2021:i:20:p:2860-2874. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rcit .

    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.