Metaverse and Fashion: An Analysis of Consumer Online Interest

Autor: Carmen Ruiz Viñals, Marta Gil Ibáñez, José Luis Del Olmo Arriaga
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Future Internet, Vol 16, Iss 6, p 199 (2024)
Druh dokumentu: article
ISSN: 16060199
1999-5903
DOI: 10.3390/fi16060199
Popis: Recent studies have demonstrated the value that the Internet and web applications bring to businesses. Among other tools are those that enable the analysis and monitoring of searches, such as Google Trends, which is currently used by the fashion industry to guide experiential practices in a context of augmented reality and/or virtual reality, and even to predict purchasing behaviours through the metaverse. Data from this tool provide insight into fashion consumer search patterns. Understanding and managing this digital tool is an essential factor in rethinking businesses’ marketing strategies. The aim of this study is to analyse online user search behaviour by analysing and monitoring the terms “metaverse” and “fashion” on Google Trends. A quantitative descriptive cross-sectional method was employed. The results show that there is growing consumer interest in both concepts on the Internet, despite the lack of homogeneity in the behaviour of the five Google search tools.
Databáze: Directory of Open Access Journals
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