IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-031-98177-7_31.html
   My bibliography  Save this book chapter

Performance Mapping of Startups in India Using Data Envelopment Analysis

Author

Listed:
  • Pratigya Kwatra

    (IILM University)

  • Gokulananda Patel

    (Birla Institute of Management Technology)

Abstract

Performance measurement of start-ups is an emerging field of research. Relative efficiencies of thirty-nine Indian start-ups that became unicorns in the year 2022 were assessed using the DEA slack-based model. The inputs used in the DEA model consisted of human, financial, and technological capital indicators, while the output indicators were primarily financial parameters. Eight Decision Making Units achieved relative efficiency of 1 and 13 DMUs displayed efficiency of more than 50%. The results indicate that start-ups in India are operating at a lower efficiency. The performance of unicorns in India has been studied for the first time in this paper. The study is original in terms of indicators used in the DEA model to predict start-up performance and the application of slack-based DEA model for analyzing start-up efficiency.

Suggested Citation

  • Pratigya Kwatra & Gokulananda Patel, 2025. "Performance Mapping of Startups in India Using Data Envelopment Analysis," Lecture Notes in Operations Research,, Springer.
  • Handle: RePEc:spr:lnopch:978-3-031-98177-7_31
    DOI: 10.1007/978-3-031-98177-7_31
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:lnopch:978-3-031-98177-7_31. 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.