Knowledge translation, uncertainty and the emergence of decision infrastructures: insights from the DRIVE-F early-stage spin-off

Purpose – This paper aims to examine how knowledge translation (KT) and risk-related practices enable decision-making in early-stage innovation initiatives characterized by high uncertainty and the absence of stabilized governance structures. Design/methodology/approach – The study adopts a qualitative, theory-elaborative single-case design based on an in-depth analysis of DRIVE-F, a research-based spin-off developing a multidimensional decision and impact evaluation framework. Empirical material includes design documents, modelling protocols, pilot application materials and internal reflexive records produced during the development process. Data were analysed abductively through a KT framework focusing on translational artefacts, actors, risk-related practices and early decision outcomes. Findings – The study shows that KT operates as the process through which a pre-organizational decision infrastructure emerges. Translational artefacts – such as simulations and visual models – function as epistemic scaffolds that render uncertainty discussable. Risk-related practices support alignment and decision readiness by structuring interpretation rather than enforcing control. Originality/value – The paper reframes KT as a foundational mechanism of organizational emergence and reconceptualizes risk-related practices as translational supports rather than governance instruments. It shifts attention to pre-organizational innovation contexts, contributing to debates on innovation governance under conditions of radical uncertainty.