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dc.contributor.author
Fernandez, María José
dc.date.available
2019-10-24T18:34:11Z
dc.date.issued
2018-04
dc.identifier.citation
Fernandez, María José; Linguistic work quality index; Inderscience Enterprises; International Journal of Business Continuity and Risk Management; 8; 3; 4-2018; 262-279
dc.identifier.issn
1758-2164
dc.identifier.uri
http://hdl.handle.net/11336/87246
dc.description.abstract
Work quality measures are fundamental to study population welfare. Labour activity occupies most of the workers’ day, so quantifying people’s welfare by means of work quality is central. Decent work indicators have the aim of establishing the characteristics of an employment relationship to verify that a job is carried out under conditions of freedom, equality, security and human dignity. The purpose of these indicators is to measure the degree to which a certain goal has been achieved in order to develop precise policies to improve people’s standard of living. In this paper, a proposal is developed to measure decent work deficit in a linguistic way. A complete decent work index model is formulated using linguistic labels and the linguistic weighted average operator. Finally, some comments are made about the benefits of using linguistic variables when measuring work quality.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Inderscience Enterprises
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
DECENT WORK INDEX
dc.subject
LABOUR CONDITIONS
dc.subject
LINGUISTIC INDEX
dc.subject
LINGUISTIC MODELS
dc.subject
LINGUISTIC WEIGHTED AVERAGE
dc.subject
SUBJECTIVITY
dc.subject
WELFARE
dc.subject
WORK QUALITY INDEX
dc.subject.classification
Otras Economía y Negocios
dc.subject.classification
Economía y Negocios
dc.subject.classification
CIENCIAS SOCIALES
dc.title
Linguistic work quality index
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-10-16T17:37:06Z
dc.identifier.eissn
1758-2172
dc.journal.volume
8
dc.journal.number
3
dc.journal.pagination
262-279
dc.journal.pais
Suiza
dc.description.fil
Fil: Fernandez, María José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; Argentina
dc.journal.title
International Journal of Business Continuity and Risk Management
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.inderscience.com/info/inarticletoc.php?jcode=ijbcrm&year=2018&vol=8&issue=3
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1504/IJBCRM.2018.094164
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