Digital Fashion in the Metaverse and Innovation for Sustainability in Fashion
Marta Giovannetti () and
Elena Cedrola ()
Additional contact information
Marta Giovannetti: University of Macerata
Elena Cedrola: University of Macerata
Chapter Chapter 9 in Sustainable Digital Marketing for Fashion and Luxury Brands, 2025, pp 191-209 from Springer
Abstract:
Abstract The metaverse is an online social environment where customers can participate in experiences, socialise, build their own identity through avatars, and possess virtual property. Many companies in the fashion industry have become interested in the metaverse for the construction of experiences, for organising events, or to propose digital fashion items. This work intends to focus on the research and practice on fashion industry in the metaverse by concentrating on the sustainability challenges found within this sector. The metaverse can emphasise the search for sustainability, particularly in research and development, innovation, and communication. This allows companies to think about sustainable transition, circular business models, minimising environmental damage and satisfying the needs of selected target customers. For the users active in the metaverse, interaction with the brand in its digital experiences or objects can in fact constitute a form of experimental and immersive market research. Companies are thus faced with the possibility of having more direct interactions than social media platforms and Web 2.0 usually allow, providing valuable managerial and scientific indications for anyone interested in sustainable fashions and R&D in the coming years.
Keywords: Metaverse; Fashion industry; Non-fungible token (NFT); Authenticity; Artificial intelligence (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-82467-8_9
Ordering information: This item can be ordered from
http://www.springer.com/9783031824678
DOI: 10.1007/978-3-031-82467-8_9
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().