The restructuring events database contains factsheets with data on large-scale restructuring events reported in the principal national media and company websites in each EU Member State. This database was created in 2002.
Manufacturing Manufacture Of Material For Textiles, Apparel, Leather And Related Products Manufacture Of Textiles 13.20 - Weaving of textiles
178 jobs Number of planned job losses
Announcement Date
28 December 2016
Employment effect (start)
29 June 2017
Foreseen end date
29 December 2016
Description
Textile firm Abbigliamento Grosseto is to dismissed all its 178 employees.
The decision was disclosed by the liquidator of the company, who eventually declared the company bankrupt after two years of insolvency proceeding.
The proceeding started about three years ago, when following delays in wage payments and the stoppage of production, workers filed a request to the Tribunal.
Top managers and the owner of Abbigliamento Grosseto are currently under inquiry for fraudulent bankruptcy.
Workers, who are women for the vast majority, will receive an unemployment allowance.
Sources
10 November 2010: Il Tirreno
28 April 2013: Il Tirreno
2 March 2016: Il Tirreno
28 December 2016: La Repubblica
Citation
Eurofound (2016), Abbigliamento Grosseto, Bankruptcy in Italy, factsheet number 91171, European Restructuring Monitor. Dublin, https://restructuringeventsprod.azurewebsites.net/restructuring-events/detail/91171.
Digitisation and automation technologies, including artificial intelligence (AI), can affect working conditions in a variety of ways and their use in the workplace raises a host of new ethical concerns.
The retail banking sector is fertile ground for studying the impacts of digitalisation on work and employment. Financial services are increasingly provided online, without the intermediary of customer-facing institutions.
European labour markets have recovered strongly from COVID-19. By the end of 2021, little more than 18 months after the start of the pandemic, employment rates in the EU were almost at pre-crisis levels.
