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About

Guendalina Anzolin is an innovation economist whose research sits at the intersection of industrial robotics, foreign direct investment, and technological transformation in global value chains. Her work has made a significant contribution to understanding how and why firms adopt automation technologies, with a particular focus on the automotive sector as a lens through which to examine broader patterns of industrial change. Anzolin's most influential study, "What is driving robotisation in the automotive value chain?" (2022, 29 citations), uses granular data from the International Federation of Robotics and FDI Markets datasets to demonstrate how inward foreign investment and domestic capabilities jointly shape robot adoption decisions across different segments of the supply chain. Her earlier work (2020, 17 citations) established foundational empirical links between FDI-driven transformation and robotisation trends globally. Notably, Anzolin extends her analysis beyond advanced economies, as evidenced by her 2023 case study research in South Africa, which reveals how firm-level heterogeneity produces divergent robotisation pathways even within the same sector. Together, her publications offer a nuanced, multi-scale account of automation diffusion that is essential reading for researchers studying industrial policy, development economics, and the future of manufacturing.