TY - BOOK AU - Izsak, Kincsö ED - Comisión Europea ED - Technopolis Group‏ ED - Agencia Ejecutiva para las Pequeñas y Medianas Empresas. ED - Comisión Europea. TI - Advanced technologies for industry : : using LinkedIn data to shed light on industrial ecosystems, skills and inter-sectoral mobility during the Covid-19 period : report SN - 978-92-9460-963-2 PY - 2021/// CY - Luxembourg PB - : Publications Office of the European Union KW - Tecnologías habilitadoras digitales KW - Empresas KW - Europa KW - advanced technology industry KW - environmental industry KW - small and medium-sized enterprises KW - social media KW - LinkedIn KW - Labour market KW - free movement of workers N1 - Bibliografía: p. 20 N2 - This report aims at harnessing the LinkedIn data source to reflect about the employment of professionals with specific skill sets such as advanced technologies, green or digital skills within twelve industries belonging to the industrial ecosystem framework of the European Commission, where data were available. The first Annual Single Market Report identified fourteen industrial ecosystems important for the European economy and recovery. Out of these fourteen the following industries are covered in this analysis: Agri-food, Aerospace, Automotive, Chemicals, Construction, Creative and cultural industries, Healthcare, Electronics, Renewable Energy, Retail, Textiles, Tourism. The report includes an analysis of professionals employed in the industries in focus based on data from the self-reported skills of professionals in LinkedIn, a widely used and accepted online job platform. LinkedIn provides a unique opportunity to enrich our understanding of the supply of skills with a level of granularity that is not available in any of the traditional data sources. The number of advanced technology skilled professionals employed across different industries and economic sectors can also give some indication about the level of technology uptake in industry. To harvest the data from LinkedIn, keywords capturing skills by advanced technology have been defined. Queries have subsequently been constructed to filter the database by location and industry. It has to be noted that the results have to put into a broader context. Industrial and skills trends can be well understood only through a multidisciplinary approach informed by both quantitative and qualitative methods UR - https://op.europa.eu/en/publication-detail/-/publication/ea39c97a-3dea-11ec-89db-01aa75ed71a1/language-en/format-PDF ER -