An empirical study of the impact of metaverse storytelling on intentions to visit

Wenkun Zhang () and Yanan Wang ()
Additional contact information
Wenkun Zhang: Shandong Jiaotong University
Yanan Wang: Mokpo University

Information Technology & Tourism, 2023, vol. 25, issue 3, No 7, 432 pages

Abstract: Abstract The purpose of this study is to explore how storytelling in a metaverse environment impacts on potential tourists’ real-world visit intentions. An empirical study based on 283 questionnaires was conducted to achieve this goal. Results show that storytelling in metaverse will significantly enhance consumers’ sense of presence, interaction and immersion, thereby, improving the destination image. The improvement of the destination image will significantly increase the potential tourists’ visit intention in real-world. This paper is one of the earliest studies on the relationship between storytelling in metaverse and real-world tourism intention, which is of great significance to the development of tourism management theory and practice management.

Keywords: Storytelling; Metaverse; Destination image; Visit intention (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40558-023-00261-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infott:v:25:y:2023:i:3:d:10.1007_s40558-023-00261-0

Ordering information: This journal article can be ordered from
http://www.springer. ... ystems/journal/40558

DOI: 10.1007/s40558-023-00261-0

Access Statistics for this article

Information Technology & Tourism is currently edited by Zheng Xiang

More articles in Information Technology & Tourism from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().