Documents Staccioli, Jacopo 3 results

"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)."

"The aim of this paper is to shed light on the paths, directions, and ensuing degrees of technological adoption fostered by trade unions or, alternatively, forms of resistance thereof, in the so called 'Italian Motor-Valley', a distinctive technological district located in the outskirts of Bologna, Italy, specialised in the engineering/automotive industry. We find that the introduction of Industry 4.0 technology opens up a new space of action for trade unions in influencing firms' decisions on technological adoption. However, this new scope can have ambiguous effects, depending on how the process is governed. On the one hand, trade unions' involvement in said decisions might end up fostering corporatist tendencies, favouring the alignment of workers' and managers' objectives. On the other hand, such a major involvement can help both recompose old forms of dualism and revitalising workers' role in the crucial issue of work organisation."

"This paper exploits natural language processing techniques to detect explicit labour-saving goals in inventive efforts in robotics and assess their relevance for different occupational profiles and the impact on employment levels. The analysis relies on patents published by the European Patent Office between 1978 and 2019 and firm-level data from ORBIS® IP. It investigates innovative actors engaged in labour-saving technologies and their economic environment (identity, location, industry), and identifies technological fields and associated occupations which are particularly exposed to them. Labour-saving patents are concentrated in Japan, the United States, and Italy, and seem to affect low-skilled and blue-collar jobs, along with highly cognitive and specialised professions. A preliminary analysis does not find an appreciable negative effect on employment shares in OECD countries over the past decade, but further research to econometrically investigate the relationship between labour-saving technological developments and employment would be helpful."