REDUCING INNOVATION PROJECT UNCERTAINTY THROUGH INTRA-ORGANISATIONAL COLLABORATION: EXAMINING THE ROLE OF ORGANISATIONAL LEARNING

Rola Fanousse, Dilupa Nakandala and Yi-Chen Lan
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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

International Journal of Innovation Management (ijim), 2025, vol. 29, issue 01n02, 1-35

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.

Keywords: Innovation; uncertainty reduction; project management; intra-organisational collaboration; organisational learning; empirical study (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S1363919625500082

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