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An algorithm to identify the most motivated employees

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An algorithm to identify the most motivated employees

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Canós-Darós, L. (2013). An algorithm to identify the most motivated employees. Management Decision. 51(4):813-823. doi:10.1108/00251741311326581

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Metadatos del ítem

Título: An algorithm to identify the most motivated employees
Autor: Canós-Darós, Lourdes
Entidad UPV: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Fecha difusión:
Resumen:
Purpose - In this paper, the aim is to present an algorithm to identify the most motivated employees according to the corporate human resources policies applied in a knowledge-based company. Design/methodology/approach ...[+]
Palabras clave: Decision support systems , Fuzzy sets , Human resource management , Motivation (psychology) , Employees attitudes , Decision making
Derechos de uso: Reserva de todos los derechos
Fuente:
Management Decision. (issn: 0025-1747 )
DOI: 10.1108/00251741311326581
Editorial:
Emerald
Versión del editor: http://dx.doi.org/10.1108/00251741311326581
Descripción: This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here (please insert the web address here). Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.
Tipo: Artículo

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