IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-59972-0_9.html
   My bibliography  Save this book chapter

Identifying Circular Business Models Through Traditional and Snowball Sampling

In: Business Revolution in a Digital Era

Author

Listed:
  • Daniela Staicu

    (The Bucharest University of Economic Studies)

Abstract

Only 9% of the businesses in the European Union are circular. In Romania, the dimension of this population has not been determined. Circular businesses are seen as hard to reach or hard to capture population characterized by low numbers, members hard to identify with not entirely known behavior, with difficulty in identifying commonalities among them and information rarely available. Using a multiple-layer sampling process composed of traditional and snowball sampling, the paper contributes to identifying the population of sustainability-oriented innovators or circular businesses in the textile and clothing sector in Romania. The results of this targeted sampling consisted in a list of 21 sustainability-oriented innovators in the textile and clothing sector in Romania, featuring actors distributed across the country. The paper provides a snapshot of the dimension of the population of circular economy business models in the textile and clothing sector in Romania and creates a positive context for further analysis of various subjects related to circular business models once the exponents are visible and known. Moreover, this research is offering a framework for sampling circular business models in various sectors.

Suggested Citation

  • Daniela Staicu, 2021. "Identifying Circular Business Models Through Traditional and Snowball Sampling," Springer Proceedings in Business and Economics, in: Alina Mihaela Dima & Fabrizio D'Ascenzo (ed.), Business Revolution in a Digital Era, pages 115-131, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-59972-0_9
    DOI: 10.1007/978-3-030-59972-0_9
    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:prbchp:978-3-030-59972-0_9. 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.