ai-based technology scouting process in high-tech industries for reducing r&d project risks: a qualitative thematic analysis

Rapid technological advancements and the increasing complexity of the business environment have posed numerous challenges for high-tech companies in monitoring and forecasting technological developments. in this context, the emergence of artificial intelligence (ai) has opened new horizons in intelligent technology scouting. this study aims to identify and analyze key themes and components in the ai-based technology scouting process within high-tech companies, with the goal of reducing r d project risks. through thematic analysis methodology, 70 scientific articles published between 2014 and 2024 were systematically analyzed. the analysis resulted in the identification of 11 main stages, 44 primary themes, and 132 sub-themes within the ai-based technology scouting process. these themes were organized into a comprehensive and integrated model that encompasses not only technical aspects but also organizational, managerial, and strategic dimensions. the proposed process model can serve as a framework for designing and implementing intelligent technology scouting systems in high-tech companies, helping to mitigate risks associated with technological decision-making.