IDEAS home Printed from https://ideas.repec.org/a/eme/ejimpp/ejim-03-2013-0025.html
   My bibliography  Save this article

Back to the future: adoption and diffusion of innovation in retro-industries

Author

Listed:
  • Sylvaine Castellano
  • Olga Ivanova
  • Maâlaoui Adnane
  • Imen Safraou
  • Francesco Schiavone

Abstract

Purpose - – The purpose of this paper is to explain the emergence and existence of retro-industries. The paper proposes using a multidisciplinary approach to define the concept of retro-industries and to identify its specificities. Design/methodology/approach - – Literature reviews in marketing and economics were used to create a model of innovation adoption and diffusion in retro-industries. Findings - – The paper provides theoretical insights about the factors that foster retro-industries such as heritage, tradition, nostalgia and revival. The paper suggests that these factors influence innovations mechanisms and explain the use of the past to manage the challenges of the future. Originality/value - – The paper enriches an identified need to analyse industry from retro perspective; and to identify the factors that foster the emergence of such industries.

Suggested Citation

  • Sylvaine Castellano & Olga Ivanova & Maâlaoui Adnane & Imen Safraou & Francesco Schiavone, 2013. "Back to the future: adoption and diffusion of innovation in retro-industries," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 16(4), pages 385-404, September.
  • Handle: RePEc:eme:ejimpp:ejim-03-2013-0025
    DOI: 10.1108/EJIM-03-2013-0025
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/EJIM-03-2013-0025/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/EJIM-03-2013-0025/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/EJIM-03-2013-0025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gupta, Rohit & Rathore, Bhawana, 2024. "Exploring the generative AI adoption in service industry: A mixed-method analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).

    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:eme:ejimpp:ejim-03-2013-0025. 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: Emerald Support (email available below). General contact details of provider: .

    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.