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Robots and the origin of their labour-saving impact

Fabio Montobbio, Jacopo Staccioli, Maria Enrica Virgillito and Marco Vivarelli ()

Technological Forecasting and Social Change, 2022, vol. 174, issue C

Abstract: This paper investigates the presence of explicit labour-saving heuristics within robotic patents. It analyses innovative actors engaged in robotic technology and their economic environment (identity, location, industry), and identifies the technological fields more exposed to labour-saving innovations. It exploits advanced natural language processing and probabilistic topic modelling techniques applied to the universe of USPTO patent applications between 2009 and 2018, matched with the ORBIS (Bureau van Dijk) firm-level dataset. The results show that labour-saving patent holders comprise not only robot producers, but mainly adopters. Consequently, labour-saving robotic patents appear along the entire supply chain. Additionally, labour-saving innovations are directed towards manual activities in services (e.g. in the logistics sector), activities entailing social intelligence (e.g. in the healthcare sector) and cognitive skills (e.g. learning and predicting).

Keywords: Robotic patents; Labour-saving technology; Search heuristics; Probabilistic topic models (search for similar items in EconPapers)
JEL-codes: C38 J24 O33 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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Related works:
Working Paper: Robots and the origin of their labour saving impact (2020) Downloads
Working Paper: Robots and the Origin of Their Labour-Saving Impact (2020) Downloads
Working Paper: Robots and the origin of their labour-saving impact (2020) Downloads
Working Paper: Robots and the origin of their labour-saving impact (2020) Downloads
Working Paper: Robots and the origin of their labour-saving impact (2020) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521005552

DOI: 10.1016/j.techfore.2021.121122

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