In this paper, the relationship between job professions and requested skills for getting a job in Italian Labour market is investigated using a dynamic approach searching for trends during the considered period. From a methodological point of view, a multi-way dataset considering internal and external sources is analysed drawing time trajectories using a Weighted Factor Analysis. In particular, for the IT and Digital industry the profiles of workers recruited by The Adecco Group in Italy in the period 2018-2021 have been analysed detecting evidences and movements.

Marletta, A. (2022). Detecting changes and evolution in specialized professional figures: an application on the Italian IT & Digital sector. In Book of the short papers (pp.261-271). Pearson.

Detecting changes and evolution in specialized professional figures: an application on the Italian IT & Digital sector

Marletta, A
2022

Abstract

In this paper, the relationship between job professions and requested skills for getting a job in Italian Labour market is investigated using a dynamic approach searching for trends during the considered period. From a methodological point of view, a multi-way dataset considering internal and external sources is analysed drawing time trajectories using a Weighted Factor Analysis. In particular, for the IT and Digital industry the profiles of workers recruited by The Adecco Group in Italy in the period 2018-2021 have been analysed detecting evidences and movements.
paper
Italian labour market, Job matching, Multi-way data
English
SIS 2022 51st Meeting of the Italian Statistical Society
2022
Balzanella, A; Bini, M; Cavicchia, C; Verde, R
Book of the short papers
9788891932310
2022
2022
261
271
reserved
Marletta, A. (2022). Detecting changes and evolution in specialized professional figures: an application on the Italian IT & Digital sector. In Book of the short papers (pp.261-271). Pearson.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/393388
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