Sustainability Communication of Fashion Brands on Social Media: Language Abstraction and Digital Customer Engagement

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Date

2024

Authors

Tugrul, T.

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Publisher

Springer Science and Business Media Deutschland GmbH

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Green Open Access

No

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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

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

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N/A

Scopus Q

Q4
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Source

Smart Innovation, Systems and Technologies

Volume

386

Issue

Start Page

607

End Page

618
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Scopus : 2

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Mendeley Readers : 7

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