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Exploring purchase intention in metaverse retailing: Insights from an automotive platform

Zhang, Haowei; Lv, Yang; Zuopeng Zhang, Justin; Hollebeek, Linda D.; Behl, Abhishek; Urbonavicius, Sigitas

Authors

Haowei Zhang

Yang Lv

Justin Zuopeng Zhang

Linda D. Hollebeek

Sigitas Urbonavicius



Abstract

As an integration of cutting-edge digital technologies, the metaverse is set to revolutionize online retailing. This study employed a well-established metaverse automotive retailing platform in China to explore the paths influencing consumers' purchase intention when shopping in the metaverse. We adopted structural equation modeling to analyze the data obtained from 348 respondents who were planning to shop for a new car in the metaverse in China. The findings showed that the perceived social presence of others positively influences consumers’ purchase intention, as mediated by their metaverse identification. Moreover, consumer stickiness and the accompaniment of friends were found to positively moderate the effect of perceived social presence on metaverse identification in metaverse retailing. Likewise, product type positively moderated the effect of metaverse identification on purchase intention. Specifically, when consumers intended to purchase environmentally-friendly (vs. unfriendly) vehicles, a stronger positive impact of metaverse identification on purchase intention was observed. The results provide valuable insight for metaverse retailers.

Citation

Zhang, H., Lv, Y., Zuopeng Zhang, J., Hollebeek, L. D., Behl, A., & Urbonavicius, S. (2025). Exploring purchase intention in metaverse retailing: Insights from an automotive platform. Journal of Retailing and Consumer Services, 82, Article 104144. https://doi.org/10.1016/j.jretconser.2024.104144

Journal Article Type Article
Acceptance Date Oct 31, 2024
Online Publication Date Nov 2, 2024
Publication Date 2025-01
Deposit Date Nov 11, 2024
Journal Journal of Retailing and Consumer Services
Print ISSN 0969-6989
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 82
Article Number 104144
DOI https://doi.org/10.1016/j.jretconser.2024.104144
Keywords Purchase intention; Metaverse; Retailing; E-tailing; Social presence; Metaverse identification; S-O-R theory
Public URL https://keele-repository.worktribe.com/output/974340
Publisher URL https://www.sciencedirect.com/science/article/pii/S0969698924004405?via%3Dihub