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Exploring purchase intention in metaverse retailing: insights from an automotive platform
School of Economics and Management, Changchun University of Science and Technology, Changchun, China.
School of Business and Management, Jilin University, Changchun, China.
Department of Management, Coggin College of Business, University of North Florida, Jacksonville, FL, USA.ORCID iD: 0000-0002-4074-9505
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Business Administration. Sunway Business School, Sunway University, Malaysia; Vilnius University, Lithuania; Tallinn University of Technology, Estonia; Lund University, Sweden; University of Johannesburg, South Africa.ORCID iD: 0000-0002-1282-0319
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2025 (English)In: Journal of Retailing and Consumer Services, ISSN 0969-6989, E-ISSN 1873-1384, Vol. 82, article id 104144Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier, 2025. Vol. 82, article id 104144
Keywords [en]
Purchase intention, Metaverse, Retailing, E-tailing, Social presence, Metaverse identification, S-O-R theory
National Category
Business Administration
Identifiers
URN: urn:nbn:se:umu:diva-231393DOI: 10.1016/j.jretconser.2024.104144ISI: 001350340700001Scopus ID: 2-s2.0-85207748556OAI: oai:DiVA.org:umu-231393DiVA, id: diva2:1910112
Available from: 2024-11-04 Created: 2024-11-04 Last updated: 2025-01-30Bibliographically approved

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Hollebeek, Linda D.

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