DOI: 10.1017/pds.2026.10396 ISSN: 2732-527X

Navigating knowledge silos and system distrust in cross-sectoral R&D

Arina Karamova, Clement Fortin, Alexey Nikolaev

ABSTRACT:

Knowledge management (KM) is crucial for efficient cross-sectoral R&D. Our study, performed with academic and industry experts (n=17), reveals a deep distrust in formal KM platforms and a high reliance on personal networks. Based on the findings of how the personal networks serve for knowledge management and exchange, we propose a concept and basic design requirements for an AI-powered ‘knowledge orchestrator’. Accounting the promise and the capabilities of the modern AI, this AI-powered ‘knowledge orchestrator’ may serve as a new generation of KM system for modern cross-sectoral R&D.

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