IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v76y2025i8p1649-1695.html
   My bibliography  Save this article

Technology licensing for quality improvement under oligopoly competition

Author

Listed:
  • Wenju Niu

Abstract

In this paper, we investigate the optimal technology licensing strategy in an oligopolistic market where customers consider both the selling price and quality of each firm’s product when making purchasing decisions. A firm that invests in improving product quality may choose to license its proprietary quality-enhancing technology to either one or multiple competitors (referred to as exclusive and non-exclusive licensing, respectively). We develop models for each of these two licensing strategies, as well as the benchmark model with no licensing. Analysis of the equilibrium outcomes shows that licensing becomes the equilibrium only if the royalty rate is moderate; both high and low royalty rates result in the equilibrium being no licensing. When licensing occurs, there exist thresholds in relation to the royalty rate (above) below which the equilibrium is (non-)exclusive licensing. Crucially, licensing has the potential to yield a Pareto improvement, and we explicitly identify the conditions for this outcome. Moreover, our key findings remain robust when the model is extended to scenarios with varying degrees of product substitutability or a generalized oligopolistic market with n (>3) firms. Finally, we clarify how the licensee’s absorptive capacity and product substitutability affect the licensing equilibrium and the Pareto improvement under both exogenous and endogenous licensing fees. Overall, our findings offer insights for firms investing in quality improvement and seeking to license their proprietary technologies to competitors to enhance profitability.

Suggested Citation

  • Wenju Niu, 2025. "Technology licensing for quality improvement under oligopoly competition," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 76(8), pages 1649-1695, August.
  • Handle: RePEc:taf:tjorxx:v:76:y:2025:i:8:p:1649-1695
    DOI: 10.1080/01605682.2024.2430341
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2024.2430341
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01605682.2024.2430341?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

    for a different version of it.

    More about this item

    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:taf:tjorxx:v:76:y:2025:i:8:p:1649-1695. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjor .

    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.