No 2018/14 Transformation paths and the multi-scalarity of knowledge bases under Industry 4.0 challenges

Abstract

This chapter proposes a novel conceptual framework for understanding how different knowledge bases (analytic, synthetic and symbolic) can be accessed and combined at different territorial scales, looking at which mechanisms can be used to favor positive transformation paths in local productive systems. We apply such framework to the role of combinatorial knowledge for sustainable transformation under the impact of global challenges, such as those posed by Industry 4.0 (I4.0). Eventually, case studies reported in the MAKERS project illustrate the multi-scalarity of knowledge bases combined in different paths of industrial transformation addressing models of I4.0 including so-called I4.0+ alternatives.