Bibliometric Computational Mapping Analysis of Publications on Virtual Reality Technology and Fashion Industry Using Vosviewer

Abstract

This study examines the evolution of the fashion industry in virtual reality research through a bibliometric approach with computational mapping analysis using VOSviewer. Article data is taken from the Google Scholar database using a reference management application and sorts only journal articles that are analyzed. Article titles and abstracts are used to guide the search process with reference to the keywords "Fashion Design" and "Virtual Reality". It found 989 articles that were considered relevant. The study period used as study material is Google Scholar indexed articles for the last 5 years (2019 to 2023). The results showed that by using fashion design and virtual reality as keywords resulted in 3 big terms that showed the biggest area that has been researched, the terms are: fashion industry, model, and reality technology. The term "fashion industry" is associated with 38 links with a total link strength of 81. The term "reality technology" has 42 links with a total link strength of 125 and the term "art" has 25 links with a total link strength of 60. The results of the analysis of the development of the fashion industry and virtual reality publications in the last 5 years show a progressive increase. In 2020-2022, it increased sharply from 159 in 2020 to a very popular 322 articles in 2022. The year 2023, although only running for half a year, has shown a figure of more than half of 2022. The results of the investigation show that there are still great opportunities for exploration of smart textile and smart fashion-themed research, especially when it comes to virtual technology.