Algorithmic management and democracy at work in Spain
Godino Pons, Alejandro (Universitat Autònoma de Barcelona. Centre d'Estudis Sociològics sobre la Vida Quotidiana i el Treball - QUIT)
Junte, Sander 1993 (Universitat Autònoma de Barcelona. Centre d'Estudis Sociològics sobre la Vida Quotidiana i el Treball - QUIT)
Molina Romo, Óscar 1962- (Universitat Autònoma de Barcelona. Centre d'Estudis Sociològics sobre la Vida Quotidiana i el Treball - QUIT)
INCODING Project - Democracy at Work through Transparent and Inclusive Algorithmic Management

Date:	2024
Abstract:	The INCODING project has researched the implications of AI-based systems at work and its collective governance in the manufacturing and the food-delivery sectors, focusing on digitalized companies where algorithmic management are relevant and workers representation is present through Work Councils. Particularly, the study has analysed two cases at company level. First, the biggest Spanish centre (part of a multinational) manufacturing trains, trams, and metros for railway operators. And secondly, one of the largest platform delivery companies, being the first to establish its own network of couriers with employment contracts, even before the enactment of Royal Decree-Law 9/2021. The study emphasizes the importance of negotiations, collective action, and regulation at the company level.
Note:	Altres ajuts: This project has received funding from the European Commission - DG Employment, Social Affairs and Inclusion under Agreement No VS/2021/0216
Note:	A portada: Universitat Autònoma de Barcelona Centre d'Estudis Sociològics sobre la Vida Quotidiana i el Treball (QUIT)
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Language:	Anglès
Series:	INCODING Policy brief
Document:	Informe

Adreça alternativa: https://incoding-project.eu/good-practices-and-policy-paper/

6 p, 290.5 KB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Social and Legal Sciences > Centre d’Estudis Sociològics sobre la Vida Quotidiana i el Treball (QUIT)
Research literature > Studies