Trend Research of Fashion Trade Show Virtual Reality Technology: A Bibliometric Mapping From 2013 to 2022

Abstract

This research paper used a bibliometric computational mapping analysis technique with a VOSviewer to investigate trends concerning virtual reality technology research in fashion trade shows. The authors conducted a search of relevant publications on Google Scholar using the Publish or Perish application, employing the keywords "virtual reality," "fashion," and "trade show" to identify relevant journal articles. Over the last decade, from 2013 to 2022, 960 publications were identified as relevant to the keywords in question. The findings indicate a steady increase in virtual reality-related publications in fashion trade shows over the past ten years, with few fluctuations. Specifically, there was a fluctuation in publication numbers between 2013 and 2016, with the highest number of publications recorded in 2016. However, from 2017 to 2021, there was a consistent increase in publications, with 2021 recording the highest number in the ten years. The researchers identified six clusters related to fashion trade shows based on virtual reality research, which included industry, virtual reality, fashion, augmented reality, technology, and reality, with a total link strength of 5472. The results of this study have significant implications for future research on fashion trade shows based on virtual reality technology. Specifically, the findings serve as valuable input for researchers seeking to identify trends and research gaps in this area.