A new approach for an efficient human resource appraisal and selection

The aim of the paper is to provide a decision making tool for solving a multi-criteria selection problem that can accommodate the qualitative details in relations with the task requirements and candidates’ competences. Our inquiry emphasizes the use of the 2-tuple linguistic representation model as...

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Main Authors: Hachicha Raoudha, Dafaoui El Mouloudi, Hadji Selma, El Mhamedi Abderrahman
Format: Article
Language:English
Published: OmniaScience 2012-12-01
Series:Journal of Industrial Engineering and Management
Subjects:
Online Access:http://www.jiem.org/index.php/jiem/article/view/452
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spelling doaj-bf389dc4bf9a40fe8a69946bcdcc04952020-11-24T23:41:36ZengOmniaScienceJournal of Industrial Engineering and Management2013-84232013-09532012-12-015232334310.3926/jiem.452129A new approach for an efficient human resource appraisal and selectionHachicha Raoudha0Dafaoui El Mouloudi1Hadji Selma2El Mhamedi Abderrahman3MGSI- IUT of Montreuil- University of Paris 8MGSI- IUT of Montreuil- University of Paris 8MGSI- IUT of Montreuil- University of Paris 8MGSI- IUT of Montreuil- University of Paris 8The aim of the paper is to provide a decision making tool for solving a multi-criteria selection problem that can accommodate the qualitative details in relations with the task requirements and candidates’ competences. Our inquiry emphasizes the use of the 2-tuple linguistic representation model as the most suitable tool to overcome the uncertain and subjective assessments. It is adapted to aggregate linguistic assessments of acquired and required competence resources generated by a group of appraisers. The resulting aggregated objective evaluations are therefore used as inputs of an extended version of the TOPSIS method.  After certain customization, a candidates’ ranking based on a similarity degree between required and acquired competence components levels is provided. The quality and efficiency of the proposed approach were confirmed through a real life application from a university context. It ensures a better management of the available candidates. Moreover, it allows facing the circumstances of absenteeism, identifying the need of training, and so on. <br /><br /><br />http://www.jiem.org/index.php/jiem/article/view/452competence, 2-tuple, multicriteria, decision making
collection DOAJ
language English
format Article
sources DOAJ
author Hachicha Raoudha
Dafaoui El Mouloudi
Hadji Selma
El Mhamedi Abderrahman
spellingShingle Hachicha Raoudha
Dafaoui El Mouloudi
Hadji Selma
El Mhamedi Abderrahman
A new approach for an efficient human resource appraisal and selection
Journal of Industrial Engineering and Management
competence, 2-tuple, multicriteria, decision making
author_facet Hachicha Raoudha
Dafaoui El Mouloudi
Hadji Selma
El Mhamedi Abderrahman
author_sort Hachicha Raoudha
title A new approach for an efficient human resource appraisal and selection
title_short A new approach for an efficient human resource appraisal and selection
title_full A new approach for an efficient human resource appraisal and selection
title_fullStr A new approach for an efficient human resource appraisal and selection
title_full_unstemmed A new approach for an efficient human resource appraisal and selection
title_sort new approach for an efficient human resource appraisal and selection
publisher OmniaScience
series Journal of Industrial Engineering and Management
issn 2013-8423
2013-0953
publishDate 2012-12-01
description The aim of the paper is to provide a decision making tool for solving a multi-criteria selection problem that can accommodate the qualitative details in relations with the task requirements and candidates’ competences. Our inquiry emphasizes the use of the 2-tuple linguistic representation model as the most suitable tool to overcome the uncertain and subjective assessments. It is adapted to aggregate linguistic assessments of acquired and required competence resources generated by a group of appraisers. The resulting aggregated objective evaluations are therefore used as inputs of an extended version of the TOPSIS method.  After certain customization, a candidates’ ranking based on a similarity degree between required and acquired competence components levels is provided. The quality and efficiency of the proposed approach were confirmed through a real life application from a university context. It ensures a better management of the available candidates. Moreover, it allows facing the circumstances of absenteeism, identifying the need of training, and so on. <br /><br /><br />
topic competence, 2-tuple, multicriteria, decision making
url http://www.jiem.org/index.php/jiem/article/view/452
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