Big Data Intelligence on Skills Demand and Training in Umbria
Organisation for Economic Co-operation and Development
The COVID-19 pandemic had a severe impact on the Umbrian economy, and despite recovery of labour demand, the region faces challenges related to digitalisation, tight labour markets, and volatile demand for low-skilled jobs. To address these issues, the OECD and the Umbrian regional agency for active labour market policies (ARPAL) have collaborated to investigate the labour and skills demand of the region using big data techniques applied to online job postings. This report provides new insights into the alignment between labour and skills demand and the training options available in the training and education programmes contained in the Umbrian Regional Training Catalogue. This report builds new indicators to measure the alignment of course content with employer demands in Umbria, with results showing that alignment is relatively good for some occupations but that this can be strengthened to provide job seekers with up-to-date training options that match the demand of the labour market.
Year of publication: |
2023
|
---|---|
Institutions: | OECD (issuing body) |
Publisher: |
Paris : OECD Publishing |
Subject: | Umbrien | Umbria | Arbeitsnachfrage | Labor demand | Qualifikation | Occupational qualification | Berufsbildung | Vocational training | Big Data | Big data |
Saved in:
Online Resource
Extent: | 1 Online-Ressource (118 p.) 21 x 28cm. |
---|---|
Type of publication: | Book / Working Paper |
Language: | English |
ISBN: | 978-92-64-50970-2 ; 978-92-64-82326-6 ; 978-92-64-79801-4 |
Other identifiers: | 10.1787/4bbbbfd6-en [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014491533
Saved in favorites
Similar items by subject
-
Labor market analysis using big data : the case of a Pakistani online job portal
Matsuda, Norihiko, (2019)
-
Skills for the Digital Transition : Assessing Recent Trends Using Big Data
(2022)
-
(2019)
- More ...
Similar items by person