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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/44821

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Title: An algorithm to identify the most motivated employees
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Issued date:
Abstract:
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 ...[+]
Subjects: Decision support systems , Fuzzy sets , Human resource management , Motivation (psychology) , Employees attitudes , Decision making
Copyrigths: Reserva de todos los derechos
Source:
Management Decision. (issn: 0025-1747 )
DOI: 10.1108/00251741311326581
Publisher:
Emerald
Publisher version: http://dx.doi.org/10.1108/00251741311326581
Description: 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.
Type: Artículo

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