Robots and the origin of their labour-saving impact

Arbeitspapier

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 particularly exposed to labour-saving innovations. It exploits advanced natural language processing and probabilistic topic modelling techniques on the universe of patent applications at the USPTO between 2009 and 2018, matched with ORBIS (Bureau van Dijk) firm-level dataset. The results show that labour-saving patent holders comprise not only robots producers, but also adopters. Consequently, labour-saving robotic patents appear along the entire supply chain. The paper shows that labour-saving innovations challenge manual activities (e.g. in the logistics sector), activities entailing social intelligence (e.g. in the healthcare sector) and cognitive skills (e.g. learning and predicting).

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: GLO Discussion Paper ; No. 471

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Technological Change: Choices and Consequences; Diffusion Processes ; Human Capital; Skills; Occupational Choice; Labor Productivity ; Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
• Thema: Robotic Patents ; Labour-Saving Technology ; Search Heuristics ; Probabilistic Topic Models

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Montobbio, Fabio ; Staccioli, Jacopo ; Virgillito, Maria Enrica ; Vivarelli, Marco
• Ereignis: Veröffentlichung
• (wer): Global Labor Organization (GLO)
• (wo): Essen
• (wann): 2020

Weitere Informationen

• Handle: http://hdl.handle.net/10419/213832
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ