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How to become a pastry chef: a statistical analysis through the company requirements

  • Paolo Mariani
  • Andrea Marletta

The definition of requested requirements by the companies represents one of the key aspects for the entrance of new professional figures. In particular, focusing the attention on food & beverage sector, in this study two job profiles are considered: pastry chef e pastry assistant. Data for this analysis are collected by The AdeccoGroup in Italy in 2016 and 2017. The personal competencies to make capable to face the growing flexibility of the profession are object of specified request cross-sectional to more economic sectors. After a brief description of the database content, the principal objective of the research is to report the most requested requirements for the companies. Other analysis are provided to show possible relationships among these requirements and the previous experience owned by candidates. Finally, a comparison is presented about the competencies requested by the two job figures using descriptive statistics and classification techniques.

  • Keywords:
  • Labour Market,
  • Professional figures,
  • Food & Beverage sector,
  • Logistic Regression,
  • Factor analysis,
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Paolo Mariani

University of Milano-Bicocca, Italy - ORCID: 0000-0002-8848-8893

Andrea Marletta

University of Milano-Bicocca, Italy - ORCID: 0000-0002-4050-5316

  1. Grundke, R., Jamet, S., Kalamova, M., Keslair, F., Squicciarini, M. (2017). Skills and global value chains. OECD, Paris.
  2. Jolliffe, I. T. (2002). Principal Component Analysis, 2nd edn. Series: Springer Series in Statis- tics, XXIX, 487. illus. Springer, NY, 28.
  3. Unioncamere. (2017). Sistema informativo excelsior. In Progetto Excelsior. Sintesi dei princi- pali risultati. http://excelsior.unioncamere.net
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  • Anno di pubblicazione: 2021
  • Pagine: 61-64

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  • Anno di pubblicazione: 2021

Informazioni sul capitolo

Titolo del capitolo

How to become a pastry chef: a statistical analysis through the company requirements

Autori

Paolo Mariani, Andrea Marletta

Lingua

English

DOI

10.36253/978-88-5518-304-8.13

Opera sottoposta a peer review

Anno di pubblicazione

2021

Copyright

© 2021 Author(s)

Licenza d'uso

CC BY 4.0

Licenza dei metadati

CC0 1.0

Informazioni bibliografiche

Titolo del libro

ASA 2021 Statistics and Information Systems for Policy Evaluation

Sottotitolo del libro

Book of short papers of the opening conference

Curatori

Bruno Bertaccini, Luigi Fabbris, Alessandra Petrucci

Opera sottoposta a peer review

Anno di pubblicazione

2021

Copyright

© 2021 Author(s)

Licenza d'uso

CC BY 4.0

Licenza dei metadati

CC0 1.0

Editore

Firenze University Press

DOI

10.36253/978-88-5518-304-8

eISBN (pdf)

978-88-5518-304-8

eISBN (xml)

978-88-5518-305-5

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Proceedings e report

ISSN della collana

2704-601X

e-ISSN della collana

2704-5846

517

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