Big data analysis of trends in the second-hand apparel market: a comparison between 2014 and 2019

Abstract

Purpose

According to the perspective of evolutionary economic theory, the marketplace continuously evolves over time, following the changing needs of both customers and firms. In accordance with the theory, the second-hand apparel market has been rapidly expanding by meeting consumers’ diverse preferences and promoting sustainability since 2014. To understand what changes in consumers’ consumption behaviors regarding used apparel have driven this growth, the purpose of this study is to examine how the second-hand apparel market product types, distribution channels and consumers’ motives have changed over the past five years.

Design/methodology/approach

This study collected big data from Google through Textom software by extracting all Web-exposed text in 2014, and again in 2019, that contained the keyword “second-hand apparel,” and used the Node XL program to visualize the network patterns of these words through the semantic network analysis.

Findings

The results indicate that the second-hand apparel market has evolved with various changes over the past five years in terms of consumer motives, product types and distribution channels.

Originality/value

This study provides a comprehensive understanding of the changing demands of consumers toward used apparel over the past five years, providing insights for retailers as well as future research in this subject area.

Citation

Kim, S. and Woo, H. (2022), "Big data analysis of trends in the second-hand apparel market: a comparison between 2014 and 2019", Research Journal of Textile and Apparel, Vol. 26 No. 2, pp. 138-155. https://doi.org/10.1108/RJTA-12-2020-0139