IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v26y2023i14p2250-2264.html
   My bibliography  Save this article

Using ZMET to explore consumers’ cognitive model in virtual reality: take the tourism experience as an example

Author

Listed:
  • Ling-Zhong Lin
  • Huery-Ren Yeh

Abstract

Due to its growing application in various industries as a marketing tool, the travel industry is increasingly perceiving the potential of virtual reality (VR) in the tourism arena. Although VR has been widely discussed in practice management research, there is, however, little knowledge on how VR technology can be applied in themed tourism environments. Hence, in this study, we use the Zaltman Metaphor Elicitation Technique (ZMET) to empirically study how visitors express their inner values and meanings through VR-themed tourism. We invited 26 respondents to participate in a VR-themed tourism experience, and we organized our results based on three key themes. First, characteristics of VR-themed tourism such as ‘freedom of virtual reality’, ‘escapism of virtual reality’ and ‘anxiety of virtual reality’ were summarized. Second, an objective consensus map was created using the ‘conservative’, ‘average’ and ‘optimistic’ calculation procedures. Third, we determined the relevance of the integrated linking constructs. We found that ‘imagination’ and ‘fantasy dream’ have the highest relevance value, followed by ‘illusion’ and ‘illusionary situation’. These themes could thus provide new insights into the possible intertwined integration and complexity of ‘virtual’ and ‘physical’ issues that may arise when tourists experience VR-themed tourism.

Suggested Citation

  • Ling-Zhong Lin & Huery-Ren Yeh, 2023. "Using ZMET to explore consumers’ cognitive model in virtual reality: take the tourism experience as an example," Current Issues in Tourism, Taylor & Francis Journals, vol. 26(14), pages 2250-2264, July.
  • Handle: RePEc:taf:rcitxx:v:26:y:2023:i:14:p:2250-2264
    DOI: 10.1080/13683500.2022.2084048
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2022.2084048
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13683500.2022.2084048?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. Junwei Chen & Xiaohong Wu & Ivan Ka Wai Lai, 2023. "A Systematic Literature Review of Virtual Technology in Hospitality and Tourism (2013–2022)," SAGE Open, , vol. 13(3), pages 21582440231, August.

    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:26:y:2023:i:14:p:2250-2264. 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.