Electronic Resource
Mapping Research on Fashion Marketing Using Biblioshiny- R (2014-2024)
Purpose: Scholars have been actively exploring various aspects of fashion marketing
framework, with a focus on delineating the characteristics and trends of keywords,
authors, journals, and citations. This review aims to analyze existing literature to
identify key issues, models, solution approaches, and potential future directions in this
field. Design/methodology/approach: Our approach utilizes a dataset comprising 195
articles on fashion marketing research sourced from Scopus. Employing a combination
of statistical, bibliometric, and analytical techniques, we systematically examine how
the literature addresses these themes. Data analysis is conducted using biblioshiny and
VOSviewer software to generate bibliometric maps of research advancements in fashion
marketing. Findings: The findings reveal that research developments in this domain are
visually represented through six clusters. Cluster one encompasses 12 topics, cluster
two includes 7 topics, cluster three comprises 5 topics, cluster four entails 5 topics,
cluster five encompasses 4 topics, and cluster six consists of 4 topics. This research
endeavors to assess the evolution and trajectory of fashion marketing maps as
documented in Scopus-indexed journals. The dataset under scrutiny comprises 195
publications, and the ensuing export data is meticulously processed and analyzed
utilizing the R Bibliometrix application program. The findings reveal a noteworthy
surge in the number of publications focusing on fashion marketing.
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