This paper aims to stabilize the relationship between universities and companies. Lombardy companies with at least 15 employees were asked them to manifest their preferences choosing among profiles of new graduates. A Latent Class Metric Conjoint Analysis is employed to evaluate the ideal graduate’s profile for a job position and to detect the existence of subgroups of companies having homogeneous preferences about such features.
Mariani, P., Marletta, A., Masserini, L., Zenga, M. (2018). A Latent Class Conjoint Analysis for analysing graduates’ profiles. In A. Abbruzzo, E. Brentari, M. Chiodi, D. Piacentino (a cura di), Book of Short Papers SIS 2018 (pp. 874-879). Pearson.
A Latent Class Conjoint Analysis for analysing graduates’ profiles
Mariani, P;Marletta, A
;Zenga, M
2018
Abstract
This paper aims to stabilize the relationship between universities and companies. Lombardy companies with at least 15 employees were asked them to manifest their preferences choosing among profiles of new graduates. A Latent Class Metric Conjoint Analysis is employed to evaluate the ideal graduate’s profile for a job position and to detect the existence of subgroups of companies having homogeneous preferences about such features.
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