Emerging Patterns of E-Commerce Apparel Attributes: A Bibliometric Analysis

This paper investigates how thematic and co-citation analysis provides information about apparel attributes in ecommerce. Versions 1.6.16 and 64.0.4 of the VOS viewer and R Studio are employed to analyze the data. The
proposed strategy incorporates a visual component to demonstrate the conceptual development of the research
field. Firstly, motor patterns, niche patterns, emerging or declining patterns, and basic pattern themes of EAA study
using a strategic map. Secondly, it allows us to assess and illustrate the thematic evolution of a study field from
2001 to 2021. Identifying the different themes is accomplished by using co-word analysis over time. Lastly, it also
analyses the co-citation networks of authors for documents. In science mapping, co-citation analysis assumes that
works cited together are connected thematically. The analysis is also employed to reveal a study field's intellectual
structure. The e-commerce apparel attribute data are grouped into three clusters using these co-citation networks.
This study examines the literature and identifies emerging topics and future research directions. Another aspect of
this study that reveals the intellectual underpinnings of the research is co-citation analysis or network analysis of
research publications. Additionally, this study offers insights into managing apparel e-commerce websites. Future
researchers can benefit from co-citation analysis, thematic analysis, and the evolution of themes