The bibliometric analysis of scientific publications for the early identification of technology trends is an established method in foresight and trend research. Nevertheless, it is often criticized for not being able to assess the practical relevance of emerging trends or for neglecting to consider the potential success of their application. To compensate for this weakness and to qualitatively validate their quantitative results, trend researchers often rely on expert surveys.
The conference contribution of our researchers therefore developed and tested a novel approach for the data-based validation of the practical relevance of emerging technology trends and for the identification of early implementation efforts of technology-leading companies. For this purpose, the bibliometric analysis of scientific publications was combined with the analysis of online job advertisements in order to not only determine technological innovation fields on the basis of data, but also to be able to evaluate them.
Marie Scheuffele, research assistant and doctoral student at the Chair of Technology and Innovation, presented the research results on site in Brazil and represented the University of Liechtenstein at discussion rounds, research exchanges and networking events.