Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/5420
Title: Sustainability Communication of Fashion Brands on Social Media: Language Abstraction and Digital Customer Engagement
Authors: Aksoy, İ.
Tugrul, T.
Keywords: Digital customer engagement
Language abstraction
Sustainable fashion communication
Abstracting
Linguistics
Sales
Social networking (online)
Abstract languages
Brand share
Category models
Digital customer engagement
Environmental and social sustainability
Language abstraction
Linguistic categories
Social media
Sustainability dimensions
Sustainable fashion communication
Sustainable development
Publisher: Springer Science and Business Media Deutschland GmbH
Abstract: The aims of the study are threefold: (1) to examine the linguistic content of sustainability messages of the most valuable fashion brands on social media, (2) to investigate the language abstraction differences across sustainability dimensions, and (3) to explore the effects of language abstraction on digital customer engagement. First, Brand Finance Global 500 2021 list was examined to identify the most valuable apparel brands, providing 19 brands. After that, 458 sustainable messages shared by these brands on Instagram were analyzed according to the Linguistic Category Model. The results showed that the most valuable fashion brands share environmental and social sustainability messages on social media communications, whereas do not address economic dimension. It was also found that fashion brands use an abstract language in sustainability communications. Furthermore, a more abstract language was used in social sustainability messages compared to environmental themed communications. Finally, findings revealed that language abstraction does not affect customer responses to sustainability communications of fashion brands. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Description: International Conference on Marketing and Technologies, ICMarkTech 2023 -- 30 November 2023 through 2 December 2023 -- 313479
URI: https://doi.org/10.1007/978-981-97-1552-7_41
https://hdl.handle.net/20.500.14365/5420
ISBN: 9789819715510
ISSN: 2190-3018
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record



CORE Recommender

Page view(s)

46
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.