IDEAS home Printed from https://ideas.repec.org/a/wsi/ijimxx/v29y2025i01n02ns1363919625500082.html
   My bibliography  Save this article

Reducing Innovation Project Uncertainty Through Intra-Organisational Collaboration: Examining The Role Of Organisational Learning

Author

Listed:
  • ROLA FANOUSSE

    (Western Sydney University, Locked Bag 1797, Penrith NSW 2751, Australia)

  • DILUPA NAKANDALA

    (Western Sydney University, Locked Bag 1797, Penrith NSW 2751, Australia)

  • YI-CHEN LAN

    (Western Sydney University, Locked Bag 1797, Penrith NSW 2751, Australia)

Abstract

Inherent uncertainty in innovation projects is a management challenge for organisations. This study examines the impact of intra-organisational collaboration on reducing uncertainty in innovation projects, along with the role of organisational learning in facilitating this relationship. It draws on empirical data collected from 249 managers of innovation projects and analysed using Structural Equation Modelling. The results confirm that intra-organisational collaboration, with its five dimensions, reduces uncertainty in innovation projects and leads to organisational learning. Our paper provides empirical evidence for the first time that effective organisational practices reduce innovation project uncertainty, providing important insights for practitioners on the importance of investing in enhancing organisational learning and collaborations to increase the success of innovation projects.

Suggested Citation

  • Rola Fanousse & Dilupa Nakandala & Yi-Chen Lan, 2025. "Reducing Innovation Project Uncertainty Through Intra-Organisational Collaboration: Examining The Role Of Organisational Learning," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 29(01n02), pages 1-35, February.
    • Handle: RePEc:wsi:ijimxx:v:29:y:2025:i:01n02:n:s1363919625500082
    DOI: 10.1142/S1363919625500082
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S1363919625500082
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S1363919625500082?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 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:wsi:ijimxx:v:29:y:2025:i:01n02:n:s1363919625500082. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijim/ijim.shtml .

    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.