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Open AccessArticle

A New Hybrid MCDM Model for Personnel Selection Based on a Novel Grey PIPRECIA and Grey OCRA Methods

1
Department of International Trade and Logistics, Faculty of Economics and Administrative Sciences, Sivas Cumhuriyet University, Sivas 58140, Turkey
2
Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Belgrade, Serbia, Jevrejska 24, 11000 Belgrade, Serbia
3
Technical Faculty in Bor, University of Belgrade, Vojske Jugoslavije 12, 19210 Bor, Serbia
4
Institute of Sustainable Construction, Vilnius Gediminas Technical University, LT 10223 Vilnius, Lithuania
*
Author to whom correspondence should be addressed.
Mathematics 2020, 8(10), 1698; https://doi.org/10.3390/math8101698
Received: 18 September 2020 / Revised: 24 September 2020 / Accepted: 27 September 2020 / Published: 3 October 2020
(This article belongs to the Special Issue Multiple Criteria Decision Making)
People represent one of the most significant resources of an organization, and therefore, personnel selection is one of the problems that organizations have increasingly been facing. The criteria that influence the final decision are usually opposing, so the application of multiple-criteria decision-making methods (MCDM) represents a suitable way for the facilitation of the given process. Additionally, the decision environment is characterized by the vagueness and uncertainty and, because of that, it is very hard to express the criteria over the exact crisp numbers. To acknowledge the unpredictability and obscurity of the available information important for the selection of the optimal candidate, a hybrid grey MCDM model for personnel selection is proposed in this paper. As an extension of the PIPRECIA method, the novel Grey Pivot Pairwise Relative Criteria Importance Assessment—the PIPRECIA-G method—is proposed and used for the determination of criteria importance. The PIPRECIA-G method preserved the good features of the PIPRECIA, but its superiority is reflected in its ability to deal with input data that are vague and grey. For the final ranking of the considered alternative candidates, the OCRA-G method is used. Basing the decision process and candidate selection on the two grey extended MCDM methods contributes to the increase of the reliability and confidence in the performed selection. View Full-Text
Keywords: personnel selection; PIPRECIA-G; OCRA-G; MCDM personnel selection; PIPRECIA-G; OCRA-G; MCDM
MDPI and ACS Style

Ulutaş, A.; Popovic, G.; Stanujkic, D.; Karabasevic, D.; Zavadskas, E.K.; Turskis, Z. A New Hybrid MCDM Model for Personnel Selection Based on a Novel Grey PIPRECIA and Grey OCRA Methods. Mathematics 2020, 8, 1698. https://doi.org/10.3390/math8101698

AMA Style

Ulutaş A, Popovic G, Stanujkic D, Karabasevic D, Zavadskas EK, Turskis Z. A New Hybrid MCDM Model for Personnel Selection Based on a Novel Grey PIPRECIA and Grey OCRA Methods. Mathematics. 2020; 8(10):1698. https://doi.org/10.3390/math8101698

Chicago/Turabian Style

Ulutaş, Alptekin; Popovic, Gabrijela; Stanujkic, Dragisa; Karabasevic, Darjan; Zavadskas, Edmundas K.; Turskis, Zenonas. 2020. "A New Hybrid MCDM Model for Personnel Selection Based on a Novel Grey PIPRECIA and Grey OCRA Methods" Mathematics 8, no. 10: 1698. https://doi.org/10.3390/math8101698

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