Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/159701
Título: Luxury Fashion in Metaverse: What are the strategies employed by fashion brands in virtual worlds?
Autor: Cruz, Sara Filipa Ferreira da
Orientador: Pinto, Diego Costa
Dalmoro, Marlon
Palavras-chave: Luxury brands
Metaverse
immersive experiences
digital fashion
non-fungible tokens
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 12 - Responsible production and consumption
Data de Defesa: 23-Out-2023
Resumo: The metaverse, a platform bridging the real and virtual worlds, has recently emerged as an attractive business avenue, particularly for the fashion industry. Fashion brands are increasingly exploring the metaverse as a novel marketing platform to connect with younger audiences. However, the concept of the metaverse lacks consensus, and there is limited academic research on its impact on fashion brands' marketing strategies and immersive brand experiences. To address these gaps, this study employs a qualitative approach, utilizing immersive netnographic research conducted on gaming and virtual platforms to firsthand observe luxury brands' strategies. The analysis reveals three key strategies employed by fashion brands in the metaverse. Firstly, luxury brands establish their own virtual spaces within gaming platforms and virtual worlds to showcase their products and engage consumers. Secondly, brands strive to captivate and involve consumers through highly immersive experiences. Lastly, economic transactions within the metaverse predominantly rely on non-fungible tokens (NFTs), enabling brands to sell digital assets and maintain exclusivity. This study not only identifies the primary strategies of fashion brands but also serves as a model for future research endeavors aiming to conduct immersive netnographic studies in this evolving landscape.
Descrição: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligence
URI: http://hdl.handle.net/10362/159701
Designação: Mestrado em Marketing Analítico, especialização em Inteligência de Marketing
Aparece nas colecções:NIMS - Dissertações de Mestrado em Marketing Analítico (Data-Driven Marketing)

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