IDEAS home Printed from https://ideas.repec.org/a/ids/ijbpma/v21y2020i1-2p230-244.html
   My bibliography  Save this article

Determinants of shareholder value creation - platform versus traditional business models

Author

Listed:
  • Rachna Banerjee
  • Sudipa Majumdar

Abstract

The digital era has given an opportunity to other businesses to disrupt the traditional markets and migrate to platform models to make them more relevant in today's digitalised economy. The value created in platform model is multi-way where a consumer and a producer continually switch roles, which is unlike the linear value creation model of a traditional company. This research contributes to the literature on shareholder value creation by analysing the effect of traditional accounting based and economic based measures on value for platform and traditional business model companies, aimed at identifying and presenting the financial performance (profitability) measures relevant to these two contrasting business models. The study includes a sample of 14 heterogeneous companies selected from the top 100 largest public companies in the world by market value, from 2008-2017. Using panel data analysis, we find that accounting based measures performed better than economic based indicators of value as measured by stock returns. Growth in earnings per share (EPS) was the best value driver for both platform model and traditional firms. Dividends per share (DPS) and return on equity (ROE) were also found to be significant indicators of value creation for traditional model companies, whereas for platform model, the effect of DPS was insignificant.

Suggested Citation

  • Rachna Banerjee & Sudipa Majumdar, 2020. "Determinants of shareholder value creation - platform versus traditional business models," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 21(1/2), pages 230-244.
  • Handle: RePEc:ids:ijbpma:v:21:y:2020:i:1/2:p:230-244
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=106114
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:ijbpma:v:21:y:2020:i:1/2:p:230-244. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=3 .

    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.