IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-14410-3_53.html
   My bibliography  Save this book chapter

Efficiency of Business Models Based on Innovations (Additive Technologies) in a Circular Economy

In: Challenges and Solutions in the Digital Economy and Finance

Author

Listed:
  • Anna Starodubova

    (Kazan National Research Technological University)

  • Dinara Iskhakova

    (Kazan National Research Technological University)

  • Nailya Gareeva

    (Kazan Innovative University Named After V.G. Timiryasov)

Abstract

The authors propose indicators of the effectiveness of business models based on additive technologies compared to traditional technologies. For the first time, business model efficiency indicators based on additive technologies are combined with circular technologies. The study identified the stages of the life cycle of additive technologies in the world for 2010–2022. And, the authors defined the time to adapt additive technology in industry. The authors applied expert method and business planning method in the article. Business modeling was carried out to produce polymer products in the Russian Federation 2021. The business models were made for 3 years. Additive technology has become a traditional technology according to Gartner. Despite this, the U.S., Canada and the U.K. have developed national strategies for smart manufacturing that incorporate additive technologies. The hypothesis proposed by the authors has been confirmed. The additive technologies should be combined with circular technologies if they moved to a later stage of the life cycle. This is necessary to enhance the efficiency of production. The efficiency of the business model is higher from the simultaneous use of these technologies than separately. If only one additive technology used in production, then they have insufficient efficiency in production.

Suggested Citation

  • Anna Starodubova & Dinara Iskhakova & Nailya Gareeva, 2022. "Efficiency of Business Models Based on Innovations (Additive Technologies) in a Circular Economy," Springer Proceedings in Business and Economics, in: Anna Rumyantseva & Vladimir Plotnikov & Alexey Minin & Hod Anyigba (ed.), Challenges and Solutions in the Digital Economy and Finance, pages 507-516, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-14410-3_53
    DOI: 10.1007/978-3-031-14410-3_53
    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:978-3-031-14410-3_53. 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.