Título Promoting work Engagement in the Accounting Profession: a Machine Learning Approach
Autores del Pozo-Antunez, Jose Joaquin , MOLINA SÁNCHEZ, HORACIO, ARIZA MONTES, JOSÉ ANTONIO, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS
Publicación externa No
Medio Soc. Indic. Res.
Alcance Article
Naturaleza Científica
Cuartil JCR 2
Cuartil SJR 1
Impacto JCR 2.93500
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103151521&doi=10.1007%2fs11205-021-02665-z&partnerID=40&md5=e4d109e1e02998761e611c50f6934916
Fecha de publicacion 01/01/2021
ISI 000630994900001
Scopus Id 2-s2.0-85103151521
DOI 10.1007/s11205-021-02665-z
Abstract In this paper, a non-linear multi-dimensional (machine learning-based) index for accountants that relates work engagement scores (according to accountants\' perceptions) with the seven Job Quality Indices (JQI) (proposed by Eurofound) has been proposed. Th
Palabras clave Accountants; Global sensitivity analysis; Multi-dimensional indices; Work engagement; Job quality
Miembros de la Universidad Loyola

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