IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-81321-5_15.html
   My bibliography  Save this book chapter

Building a Prosocial Communication Model in the Fashion Sector, Based on Sustainability and Artificial Intelligence, Derived from COVID-19

In: Fashion Communication

Author

Listed:
  • Lucía Pérez-Pérez

    (EAE Business School)

  • María Gatón Fraile

    (Universidad de Málaga)

  • Santa Palella Stracuzzi

    (EAE Business School)

Abstract

Considering communication in fashion from the perspective of sustainability and artificial intelligence allows us to resize its social focus, especially when we contextualize it in the era of COVID-19, which has stopped humanity in a loop, to rethink a new normal that accelerates processes, unthinkable in others historical moments. We see an undeniable trend, where a humanitarian sensitivity towards sustainability in fashion develops, towards the rational and real use of an intelligence in the fashion sector that is no longer artificial but advanced. This research responds to a question that belongs to the world of the social. How to communicate for a society that urgently needs to implement sustainability strategies in the fashion sector, based on artificial intelligence at the service of rescuing the human? In this sense, based on a projective documentary research and a series of in-depth interviews with fashion experts, it allowed us to initiate what aims to lay the foundations of a prosocial communication model in the fashion sector, based on the sustainability of the human being on the planet and, as a corollary, also based on artificial intelligence. The prosocial field is oriented to collaborate and help other people in a positive, productive and social way. Artificial intelligence in fashion, at the service of sustainability and communication, allows us to think with a humanistic approach to communication, where the focus is to understand the human being in a deep way, with an interrelation with artificial intelligence and the increase of sustainability in fashion in different areas of the value chain. This investigation concludes by showing that the implementation of the proposed model of this investigation is plausible.

Suggested Citation

  • Lucía Pérez-Pérez & María Gatón Fraile & Santa Palella Stracuzzi, 2021. "Building a Prosocial Communication Model in the Fashion Sector, Based on Sustainability and Artificial Intelligence, Derived from COVID-19," Springer Books, in: Teresa Sádaba & Nadzeya Kalbaska & Francesca Cominelli & Lorenzo Cantoni & Marta Torregrosa Puig (ed.), Fashion Communication, pages 187-204, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-81321-5_15
    DOI: 10.1007/978-3-030-81321-5_15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-81321-5_15. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.