Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Threads of insight

Exploring the narrative of online reviews (2002–22) in the apparel industry through bibliometrics

Bibliographic Data

ID21875167
AuthorsYashu Garg (0009-0003-3611-2805, Lovely Professional University), Krishan Gopal (0000-0002-0115-5659, Lovely Professional University), Ajay Chandel (0000-0002-4585-6406, Lovely Professional University)
Year2024
Publication date2024-10-19
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueFashion Style & Popular Culture (JOURNAL)
Journal identifiersISSN: 2050-0726 • E-ISSN: 2050-0734
PublisherIntellect (PUBLISHER • GB)
DOI10.1386/fspc_00288_1
OpenAlexW4403560736
LanguageEN
References cited40

Online reviews have become crucial in research and consumer decision-making, providing insights into customer perspectives on products and services. In today’s digital age, they are an essential tool for retailers to engage with their customers. This is particularly true in the apparel industry, where understanding consumer satisfaction and preferences is key to crafting effective marketing strategies. Despite the abundance of literature on the impact of online reviews on consumer evaluations of ready-made garments, there has been limited scientific analysis of this extensive body of work. This bibliometric study utilizes performance analysis and science mapping to rigorously examine the body of literature on online reviews. Performance analysis assesses the quality and quantity of various scientific contributions using a suite of bibliometric indicators, such as publication trends, leading authors and journals, and the most influential publications. To complement this, science mapping is employed to elucidate the broader intellectual, social and conceptual frameworks of the field, providing a holistic view of its fundamental dynamics that performance analysis alone cannot offer. We analysed 161 articles published between 2002 and 2022, selected via targeted keywords from the Scopus database. The data was processed using VOSviewer (1.6.20) and Biblioshiny, a web-based platform powered by the R-package Bibliometrix 4.1. This study not only delves into the historical and current states of the literature but also identifies and discusses future research agendas in online reviews within the apparel industry

Archaeology · Art · Bibliometrics · Clothing · Data science · Fashion industry · Library science · Literature · Narrative · Sociology · Computer Science · Consumer Market Behavior and Pricing · Digital Marketing and Social Media · History · Technology Adoption and User Behaviour

  • Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer

    Open Access•Hasan Ejaz, Hafiz Muhammad Zeeshan et al.•International Journal of…•2022

  • A Bibliometric Analysis of the Literature on Norovirus Disease from 1991–2021

    Open Access•Ropo Ebenezer Ogunsakin, Oluwakemi Ebenezer et al.•International Journal of…•2022

  • The effect of perceived convenience and perceived value on intention to repurchase in online shopping

    Open Access•Jusuf Zeqiri, Veland Ramadani et al.•Economic Research-Ekonomska…•2023

  • Bibliometric analysis of sustainable business performance

    Open Access•Cristina Bota-Avram•Economic Research-Ekonomska…•2023

  • The role of experiential value in online shopping

    Open Access•So Won Jeong, Ann Marie Fiore et al.•Internet Research•2009

  • New shop owners in old buildings

    Regine A Spector, Aisalkyn Botoeva•Post-Soviet Affairs•2016

  • A comparative analysis of major online review platforms

    Open Access•Z Xiang, Qianzhou Du et al.•Tourism Management•2016

  • Television Shopping for Apparel in the United States

    Open Access•Minjeong Kim, Sharron J Lennon•Family and Consumer Sciences…•2000

Citation velocityhistorical
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae