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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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dc.contributor.author Canós-Darós, Lourdes es_ES
dc.date.accessioned 2014-11-25T15:01:56Z
dc.date.available 2014-11-25T15:01:56Z
dc.date.issued 2013
dc.identifier.issn 0025-1747
dc.identifier.uri http://hdl.handle.net/10251/44821
dc.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. es_ES
dc.description.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 - First, the author presents a complete table with motivation factors found in the literature. Then, a fuzzy tool, i.e. an adequacy index, is used in order to include subjectivity and uncertainty from personal perceptions both from employees and managers in the model. Findings - An algorithm to identify the most motivated employees according to corporate motivation policies designed by managers is found. Practical implications - Results provide information that can be used as a support for helping managers in decision making about training, promotion, leadership practices or team management. Originality/value - An exhaustive list that does not exist in the literature about motivation factors is presented as well as the proposal of measure and identification on most-motivated employees is also a new idea. es_ES
dc.language Inglés es_ES
dc.publisher Emerald es_ES
dc.relation.ispartof Management Decision es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Decision support systems es_ES
dc.subject Fuzzy sets es_ES
dc.subject Human resource management es_ES
dc.subject Motivation (psychology) es_ES
dc.subject Employees attitudes es_ES
dc.subject Decision making es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title An algorithm to identify the most motivated employees es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1108/00251741311326581
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Canós-Darós, L. (2013). An algorithm to identify the most motivated employees. Management Decision. 51(4):813-823. doi:10.1108/00251741311326581 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1108/00251741311326581 es_ES
dc.description.upvformatpinicio 813 es_ES
dc.description.upvformatpfin 823 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 51 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 259494
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