Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 27, Issue 1 (2016)
  4. The Framework for the Selection of Perso ...

Informatica

Information Submit your article For Referees Help ATTENTION!
  • Article info
  • Related articles
  • Cited by
  • More
    Article info Related articles Cited by

The Framework for the Selection of Personnel Based on the SWARA and ARAS Methods Under Uncertainties
Volume 27, Issue 1 (2016), pp. 49–65
Darjan Karabasevic   Edmundas Kazimieras Zavadskas   Zenonas Turskis   Dragisa Stanujkic  

Authors

 
Placeholder
https://doi.org/10.15388/Informatica.2016.76
Pub. online: 1 January 2016      Type: Research Article     

Received
1 March 2015
Accepted
1 February 2016
Published
1 January 2016

Abstract

In the hiring process at companies, decision makers have underused the methods of the multi-criteria decision-making processes of selection of personnel. Therefore, this paper aims to establish a framework for the selection of candidates during the process of the recruitment and selection of personnel based on the SWARA and ARAS methods under uncertainties. The usability and efficiency of the proposed framework is considered in the conducted case study of the selection of candidate for the position of the sales manager.

Related articles Cited by PDF XML
Related articles Cited by PDF XML

Copyright
Vilnius University

Keywords
selection of personnel recruitment competencies fuzzy MCDM

Metrics
since January 2020
1927

Article info
views

0

Full article
views

987

PDF
downloads

226

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
  • Copyright © 2023 Vilnius University

About

  • About journal

For contributors

  • OA Policy
  • Submit your article
  • Instructions for Referees
    •  

    •  

Contact us

  • Institute of Data Science and Digital Technologies
  • Vilnius University

    Akademijos St. 4

    08412 Vilnius, Lithuania

    Phone: (+370 5) 2109 338

    E-mail: informatica@mii.vu.lt

    https://informatica.vu.lt/journal/INFORMATICA
Powered by PubliMill  •  Privacy policy