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Systems of innovation (SI) studies previously considered innovation at different geographical levels and with different foci on actors and processes. However, the boundaries of the SI concepts are becoming blurry and shifting due to technological and economic factors, globalization and interdependence between countries and firms. Previous literature has limitations to address shifting boundaries by assessing SI literature holistically. This study set out to understand the overlaps of SI concepts. It aims at delimiting the SI field, delineating boundaries and at determining the topics underlying the SI and overlaps. Context-specific synergies become transparent, enabling decision-makers and researchers to consider economic interrelationships in a topic-specific and cross-system perspective. The study uses deep learning in combination with natural language processing on data consisting of 2380 SI literature related …